National Library of Energy BETA

Sample records for wrf model output

  1. Climate Model Output Rewriter

    Energy Science and Technology Software Center (OSTI)

    2004-06-21

    CMOR comprises a set of FORTRAN 90 dunctions that can be used to produce CF-compliant netCDF files. The structure of the files created by CMOR and the metadata they contain fulfill the requirements of many of the climate community’s standard model experiments (which are referred to here as "MIPS", which stands for "model intercomparison project", including, for example, AMIP, CMIP, CFMIP, PMIP, APE, and IPCC scenario runs), CMOR was not designed to serve as anmore » all-purpose wfiter of CF-compliant netCDF files, but simply to reduce the effort required to prepare and manage MIP data. Although MIPs encourage systematic analysis of results across models, this is only easy to do if the model output is written in a common format with files structured similarly and with sufficient metadata uniformly stored according to a common standard. Individual modeling groups store their data in different ways. but if a group can read its own data with FORTRAN, then it should easily be able to transform the data, using CMOR, into the common format required by the MIPs, The adoption of CMOR as a standard code for exchanging climate data will facilitate participation in MIPs because after learning how to satisfy the output requirements of one MIP, it will be easy to prepare output for the other MIPs.« less

  2. The Lagrangian particle dispersion model FLEXPART-WRF VERSION 3.1

    SciTech Connect (OSTI)

    Brioude, J.; Arnold, D.; Stohl, A.; Cassiani, M.; Morton, Don; Seibert, P.; Angevine, W. M.; Evan, S.; Dingwell, A.; Fast, Jerome D.; Easter, Richard C.; Pisso, I.; Bukhart, J.; Wotawa, G.

    2013-11-01

    The Lagrangian particle dispersion model FLEXPART was originally designed for cal- culating long-range and mesoscale dispersion of air pollutants from point sources, such as after an accident in a nuclear power plant. In the meantime FLEXPART has evolved into a comprehensive tool for atmospheric transport modeling and analysis at different scales. This multiscale need from the modeler community has encouraged new developments in FLEXPART. In this document, we present a version that works with the Weather Research and Forecasting (WRF) mesoscale meteoro- logical model. Simple procedures on how to run FLEXPART-WRF are presented along with special options and features that differ from its predecessor versions. In addition, test case data, the source code and visualization tools are provided to the reader as supplementary material.

  3. Bayesian approaches for combining computational model output...

    Office of Scientific and Technical Information (OSTI)

    for combining computational model output and physical observations Authors: Higdon, David M 1 ; Lawrence, Earl 1 ; Heitmann, Katrin 2 ; Habib, Salman 2 + Show Author...

  4. Enhancing Cloud Radiative Processes and Radiation Efficiency in the Advanced Research Weather Research and Forecasting (WRF) Model

    SciTech Connect (OSTI)

    Iacono, Michael J.

    2015-03-09

    The objective of this research has been to evaluate and implement enhancements to the computational performance of the RRTMG radiative transfer option in the Advanced Research version of the Weather Research and Forecasting (WRF) model. Efficiency is as essential as accuracy for effective numerical weather prediction, and radiative transfer is a relatively time-consuming component of dynamical models, taking up to 30-50 percent of the total model simulation time. To address this concern, this research has implemented and tested a version of RRTMG that utilizes graphics processing unit (GPU) technology (hereinafter RRTMGPU) to greatly improve its computational performance; thereby permitting either more frequent simulation of radiative effects or other model enhancements. During the early stages of this project the development of RRTMGPU was completed at AER under separate NASA funding to accelerate the code for use in the Goddard Space Flight Center (GSFC) Goddard Earth Observing System GEOS-5 global model. It should be noted that this final report describes results related to the funded portion of the originally proposed work concerning the acceleration of RRTMG with GPUs in WRF. As a k-distribution model, RRTMG is especially well suited to this modification due to its relatively large internal pseudo-spectral (g-point) dimension that, when combined with the horizontal grid vector in the dynamical model, can take great advantage of the GPU capability. Thorough testing under several model configurations has been performed to ensure that RRTMGPU improves WRF model run time while having no significant impact on calculated radiative fluxes and heating rates or on dynamical model fields relative to the RRTMG radiation. The RRTMGPU codes have been provided to NCAR for possible application to the next public release of the WRF forecast model.

  5. Aerosol Indirect Effect on the Grid-scale Clouds in the Two-way Coupled WRF-CMAQ: Model Description, Development, Evaluation and Regional Analysis

    SciTech Connect (OSTI)

    Yu, Shaocai; Mathur, Rohit; Pleim, Jonathan; Wong, David; Gilliam, R.; Alapaty, Kiran; Zhao, Chun; Liu, Xiaohong

    2014-10-24

    This study implemented first, second and glaciations aerosol indirect effects (AIE) on resolved clouds in the two-way coupled WRF-CMAQ modeling system by including parameterizations for both cloud drop and ice number concentrations on the basis of CMAQpredicted aerosol distributions and WRF meteorological conditions. The performance of the newly-developed WRF-CMAQ model, with alternate CAM and RRTMG radiation schemes, was evaluated with the observations from the CERES satellite and surface monitoring networks (AQS, IMPROVE, CASTNet, STN, and PRISM) over the continental U.S. (CONUS) (12-km resolution) and eastern Texas (4-km resolution) during August and September of 2006. The results at the AQS surface sites show that in August, the NMB values for PM2.5 over the eastern/western U.S (EUS/WUS) and western U.S. (WUS) are 5.3% (?0.1%) and 0.4% (-5.2%) for WRF-CMAQ/CAM (WRF-CMAQ/RRTMG), respectively. The evaluation of PM2.5 chemical composition reveals that in August, WRF-CMAQ/CAM (WRF-CMAQ/RRTMG) consistently underestimated the observed SO4 2? by -23.0% (-27.7%), -12.5% (-18.9%) and -7.9% (-14.8%) over the EUS at the CASTNet, IMPROVE and STN sites, respectively. Both models (WRF-CMAQ/CAM, WRF-CMAQ/RRTMG) overestimated the observed mean OC, EC and TC concentrations over the EUS in August at the IMPROVE sites. Both models generally underestimated the cloud field (SWCF) over the CONUS in August due to the fact that the AIE on the subgrid convective clouds was not considered when the model simulations were run at the 12 km resolution. This is in agreement with the fact that both models captured SWCF and LWCF very well for the 4-km simulation over the eastern Texas when all clouds were resolved by the finer domain. Both models generally overestimated the observed precipitation by more than 40% mainly because of significant overestimation in the southern part of the CONUS in August. The simulations of WRF-CMAQ/CAM and WRF-CMAQ/RRTMG show dramatic improvements for SWCF, LWCF, COD, cloud fractions and precipitation over the ocean relative to those of WRF default cases in August. The model performance in September is similar to that in August except for greater overestimation of PM2.5 due to the overestimations of SO4 2-, NH4 +, NO3 -, and TC over the EUS, less underestimation of clouds (SWCF) over the land areas due to about 10% lower SWCF values and less convective clouds in September.

  6. Impacts of WRF Physics and Measurement Uncertainty on California Wintertime Model Wet Bias

    SciTech Connect (OSTI)

    Chin, H S; Caldwell, P M; Bader, D C

    2009-07-22

    The Weather and Research Forecast (WRF) model version 3.0.1 is used to explore California wintertime model wet bias. In this study, two wintertime storms are selected from each of four major types of large-scale conditions; Pineapple Express, El Nino, La Nina, and synoptic cyclones. We test the impacts of several model configurations on precipitation bias through comparison with three sets of gridded surface observations; one from the National Oceanographic and Atmospheric Administration, and two variations from the University of Washington (without and with long-term trend adjustment; UW1 and UW2, respectively). To simplify validation, California is divided into 4 regions (Coast, Central Valley, Mountains, and Southern California). Simulations are driven by North American Regional Reanalysis data to minimize large-scale forcing error. Control simulations are conducted with 12-km grid spacing (low resolution) but additional experiments are performed at 2-km (high) resolution to evaluate the robustness of microphysics and cumulus parameterizations to resolution changes. We find that the choice of validation dataset has a significant impact on the model wet bias, and the forecast skill of model precipitation depends strongly on geographic location and storm type. Simulations with right physics options agree better with UW1 observations. In 12-km resolution simulations, the Lin microphysics and the Kain-Fritsch cumulus scheme have better forecast skill in the coastal region while Goddard, Thompson, and Morrison microphysics, and the Grell-Devenyi cumulus scheme perform better in the rest of California. The effect of planetary boundary layer, soil-layer, and radiation physics on model precipitation is weaker than that of microphysics and cumulus processes for short- to medium-range low-resolution simulations. Comparison of 2-km and 12-km resolution runs suggests a need for improvement of cumulus schemes, and supports the use of microphysics schemes in coarser-grid applications.

  7. Incorporating an advanced aerosol activation parameterization into WRF-CAM5: Model evaluation and parameterization intercomparison

    SciTech Connect (OSTI)

    Zhang, Yang; Zhang, Xin; Wang, Kai; He, Jian; Leung, Lai-Yung R.; Fan, Jiwen; Nenes, Athanasios

    2015-07-22

    Aerosol activation into cloud droplets is an important process that governs aerosol indirect effects. The advanced treatment of aerosol activation by Fountoukis and Nenes (2005) and its recent updates, collectively called the FN series, have been incorporated into a newly developed regional coupled climate-air quality model based on the Weather Research and Forecasting model with the physics package of the Community Atmosphere Model version 5 (WRF-CAM5) to simulate aerosol-cloud interactions in both resolved and convective clouds. The model is applied to East Asia for two full years of 2005 and 2010. A comprehensive model evaluation is performed for model predictions of meteorological, radiative, and cloud variables, chemical concentrations, and column mass abundances against satellite data and surface observations from air quality monitoring sites across East Asia. The model performs overall well for major meteorological variables including near-surface temperature, specific humidity, wind speed, precipitation, cloud fraction, precipitable water, downward shortwave and longwave radiation, and column mass abundances of CO, SO2, NO2, HCHO, and O3 in terms of both magnitudes and spatial distributions. Larger biases exist in the predictions of surface concentrations of CO and NOx at all sites and SO2, O3, PM2.5, and PM10 concentrations at some sites, aerosol optical depth, cloud condensation nuclei over ocean, cloud droplet number concentration (CDNC), cloud liquid and ice water path, and cloud optical thickness. Compared with the default Abdul-Razzack Ghan (2000) parameterization, simulations with the FN series produce ~107113% higher CDNC, with half of the difference attributable to the higher aerosol activation fraction by the FN series and the remaining half due to feedbacks in subsequent cloud microphysical processes. With the higher CDNC, the FN series are more skillful in simulating cloud water path, cloud optical thickness, downward shortwave radiation, shortwave cloud forcing, and precipitation. The model evaluation identifies several areas of provements including emissions and their vertical allocation as well as model formulations such as aerosol formation, cloud droplet nucleation, and ice nucleation.

  8. Assessing the CAM5 Physics Suite in the WRF-Chem Model: Implementation, Resolution Sensitivity, and a First Evaluation for a Regional Case Study

    SciTech Connect (OSTI)

    Ma, Po-Lun; Rasch, Philip J.; Fast, Jerome D.; Easter, Richard C.; Gustafson, William I.; Liu, Xiaohong; Ghan, Steven J.; Singh, Balwinder

    2014-05-06

    A suite of physical parameterizations (deep and shallow convection, turbulent boundary layer, aerosols, cloud microphysics, and cloud fraction) from the global climate model Community Atmosphere Model version 5.1 (CAM5) has been implemented in the regional model Weather Research and Forecasting with chemistry (WRF-Chem). A downscaling modeling framework with consistent physics has also been established in which both global and regional simulations use the same emissions and surface fluxes. The WRF-Chem model with the CAM5 physics suite is run at multiple horizontal resolutions over a domain encompassing the northern Pacific Ocean, northeast Asia, and northwest North America for April 2008 when the ARCTAS, ARCPAC, and ISDAC field campaigns took place. These simulations are evaluated against field campaign measurements, satellite retrievals, and ground-based observations, and are compared with simulations that use a set of common WRF-Chem Parameterizations. This manuscript describes the implementation of the CAM5 physics suite in WRF-Chem provides an overview of the modeling framework and an initial evaluation of the simulated meteorology, clouds, and aerosols, and quantifies the resolution dependence of the cloud and aerosol parameterizations. We demonstrate that some of the CAM5 biases, such as high estimates of cloud susceptibility to aerosols and the underestimation of aerosol concentrations in the Arctic, can be reduced simply by increasing horizontal resolution. We also show that the CAM5 physics suite performs similarly to a set of parameterizations commonly used in WRF-Chem, but produces higher ice and liquid water condensate amounts and near-surface black carbon concentration. Further evaluations that use other mesoscale model parameterizations and perform other case studies are needed to infer whether one parameterization consistently produces results more consistent with observations.

  9. PV output variability modeling using satellite imagery.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Ellis, Abraham; Reno, Matthew J.

    2010-11-01

    High frequency irradiance variability measured on the ground is caused by the formation, dissipation, and passage of clouds in the sky. If we can identify and associate different cloud types/patterns from satellite imagery, we may be able to predict irradiance variability in areas lacking sensors. With satellite imagery covering the entire U.S., this allows for more accurate integration planning and power flow modeling over wide areas. Satellite imagery from southern Nevada was analyzed at 15 minute intervals over a year. Methods for image stabilization, cloud detection, and textural classification of clouds were developed and tested. High Performance Computing parallel processing algorithms were also investigated and tested. Artificial Neural Networks using imagery as inputs were trained on ground-based measurements of irradiance to model the variability and were tested to show some promise as a means for predicting irradiance variability.

  10. Community Climate System Model (CCSM) Experiments and Output Data

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The CCSM web makes the source code of various versions of the model freely available and provides access to experiments that have been run and the resulting output data.

  11. Bayesian approaches for combining computational model output and physical

    Office of Scientific and Technical Information (OSTI)

    observations (Conference) | SciTech Connect Bayesian approaches for combining computational model output and physical observations Citation Details In-Document Search Title: Bayesian approaches for combining computational model output and physical observations Authors: Higdon, David M [1] ; Lawrence, Earl [1] ; Heitmann, Katrin [2] ; Habib, Salman [2] + Show Author Affiliations Los Alamos National Laboratory ANL Publication Date: 2011-07-25 OSTI Identifier: 1084581 Report Number(s):

  12. Input-output model for MACCS nuclear accident impacts estimation

    SciTech Connect (OSTI)

    Outkin, Alexander V.; Bixler, Nathan E.; Vargas, Vanessa N

    2015-01-27

    Since the original economic model for MACCS was developed, better quality economic data (as well as the tools to gather and process it) and better computational capabilities have become available. The update of the economic impacts component of the MACCS legacy model will provide improved estimates of business disruptions through the use of Input-Output based economic impact estimation. This paper presents an updated MACCS model, bases on Input-Output methodology, in which economic impacts are calculated using the Regional Economic Accounting analysis tool (REAcct) created at Sandia National Laboratories. This new GDP-based model allows quick and consistent estimation of gross domestic product (GDP) losses due to nuclear power plant accidents. This paper outlines the steps taken to combine the REAcct Input-Output-based model with the MACCS code, describes the GDP loss calculation, and discusses the parameters and modeling assumptions necessary for the estimation of long-term effects of nuclear power plant accidents.

  13. Ecosystem feedbacks to climate change in California: Development, testing, and analysis using a coupled regional atmosphere and land-surface model (WRF3-CLM3.5)

    SciTech Connect (OSTI)

    Subin, Z.M.; Riley, W.J.; Kueppers, L.M.; Jin, J.; Christianson, D.S.; Torn, M.S.

    2010-11-01

    A regional atmosphere model [Weather Research and Forecasting model version 3 (WRF3)] and a land surface model [Community Land Model, version 3.5 (CLM3.5)] were coupled to study the interactions between the atmosphere and possible future California land-cover changes. The impact was evaluated on California's climate of changes in natural vegetation under climate change and of intentional afforestation. The ability of WRF3 to simulate California's climate was assessed by comparing simulations by WRF3-CLM3.5 and WRF3-Noah to observations from 1982 to 1991. Using WRF3-CLM3.5, the authors performed six 13-yr experiments using historical and future large-scale climate boundary conditions from the Geophysical Fluid Dynamics Laboratory Climate Model version 2.1 (GFDL CM2.1). The land-cover scenarios included historical and future natural vegetation from the Mapped Atmosphere-Plant-Soil System-Century 1 (MC1) dynamic vegetation model, in addition to a future 8-million-ha California afforestation scenario. Natural vegetation changes alone caused summer daily-mean 2-m air temperature changes of -0.7 to +1 C in regions without persistent snow cover, depending on the location and the type of vegetation change. Vegetation temperature changes were much larger than the 2-m air temperature changes because of the finescale spatial heterogeneity of the imposed vegetation change. Up to 30% of the magnitude of the summer daily-mean 2-m air temperature increase and 70% of the magnitude of the 1600 local time (LT) vegetation temperature increase projected under future climate change were attributable to the climate-driven shift in land cover. The authors projected that afforestation could cause local 0.2-1.2 C reductions in summer daily-mean 2-m air temperature and 2.0-3.7 C reductions in 1600 LT vegetation temperature for snow-free regions, primarily because of increased evapotranspiration. Because some of these temperature changes are of comparable magnitude to those projected under climate change this century, projections of climate and vegetation change in this region need to consider these climate-vegetation interactions.

  14. On-line Chemistry within WRF: Description and Evaluation of a State-of-the-Art Multiscale Air Quality and Weather Prediction Model

    SciTech Connect (OSTI)

    Grell, Georg; Fast, Jerome D.; Gustafson, William I.; Peckham, Steven E.; McKeen, Stuart A.; Salzmann, Marc; Freitas, Saulo

    2010-01-01

    This is a conference proceeding that is now being put together as a book. This is chapter 2 of the book: "INTEGRATED SYSTEMS OF MESO-METEOROLOGICAL AND CHEMICAL TRANSPORT MODELS" published by Springer. The chapter title is "On-line Chemistry within WRF: Description and Evaluation of a State-of-the-Art Multiscale Air Quality and Weather Prediction Model." The original conference was the COST-728/NetFAM workshop on Integrated systems of meso-meteorological and chemical transport models, Danish Meteorological Institute, Copenhagen, May 21-23, 2007.

  15. Two-Way Integration of WRF and CCSM for Regional Climate Simulations

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Two-Way Integration of WRF and CCSM for Regional Climate Simulations Citation Details In-Document Search Title: Two-Way Integration of WRF and CCSM for Regional Climate Simulations Under the support of the DOE award DE-SC0004670, we have successfully developed an integrated climate modeling system by nesting Weather Research and Forecasting (WRF) model within the Community Climate System Model (CCSM) and the ensuing new generation Community Earth System

  16. Two-Way Integration of WRF and CCSM for Regional Climate Simulations

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect SciTech Connect Search Results Technical Report: Two-Way Integration of WRF and CCSM for Regional Climate Simulations Citation Details In-Document Search Title: Two-Way Integration of WRF and CCSM for Regional Climate Simulations Under the support of the DOE award DE-SC0004670, we have successfully developed an integrated climate modeling system by nesting Weather Research and Forecasting (WRF) model within the Community Climate System Model (CCSM) and

  17. An Advanced simulation Code for Modeling Inductive Output Tubes

    SciTech Connect (OSTI)

    Thuc Bui; R. Lawrence Ives

    2012-04-27

    During the Phase I program, CCR completed several major building blocks for a 3D large signal, inductive output tube (IOT) code using modern computer language and programming techniques. These included a 3D, Helmholtz, time-harmonic, field solver with a fully functional graphical user interface (GUI), automeshing and adaptivity. Other building blocks included the improved electrostatic Poisson solver with temporal boundary conditions to provide temporal fields for the time-stepping particle pusher as well as the self electric field caused by time-varying space charge. The magnetostatic field solver was also updated to solve for the self magnetic field caused by time changing current density in the output cavity gap. The goal function to optimize an IOT cavity was also formulated, and the optimization methodologies were investigated.

  18. Use of Advanced Meteorological Model Output for Coastal Ocean Modeling in Puget Sound

    SciTech Connect (OSTI)

    Yang, Zhaoqing; Khangaonkar, Tarang; Wang, Taiping

    2011-06-01

    It is a great challenge to specify meteorological forcing in estuarine and coastal circulation modeling using observed data because of the lack of complete datasets. As a result of this limitation, water temperature is often not simulated in estuarine and coastal modeling, with the assumption that density-induced currents are generally dominated by salinity gradients. However, in many situations, temperature gradients could be sufficiently large to influence the baroclinic motion. In this paper, we present an approach to simulate water temperature using outputs from advanced meteorological models. This modeling approach was applied to simulate annual variations of water temperatures of Puget Sound, a fjordal estuary in the Pacific Northwest of USA. Meteorological parameters from North American Region Re-analysis (NARR) model outputs were evaluated with comparisons to observed data at real-time meteorological stations. Model results demonstrated that NARR outputs can be used to drive coastal ocean models for realistic simulations of long-term water-temperature distributions in Puget Sound. Model results indicated that the net flux from NARR can be further improved with the additional information from real-time observations.

  19. Methods to Register Models and Input/Output Parameters for Integrated Modeling

    SciTech Connect (OSTI)

    Droppo, James G.; Whelan, Gene; Tryby, Michael E.; Pelton, Mitchell A.; Taira, Randal Y.; Dorow, Kevin E.

    2010-07-10

    Significant resources can be required when constructing integrated modeling systems. In a typical application, components (e.g., models and databases) created by different developers are assimilated, requiring the frameworks functionality to bridge the gap between the users knowledge of the components being linked. The framework, therefore, needs the capability to assimilate a wide range of model-specific input/output requirements as well as their associated assumptions and constraints. The process of assimilating such disparate components into an integrated modeling framework varies in complexity and difficulty. Several factors influence the relative ease of assimilating components, including, but not limited to, familiarity with the components being assimilated, familiarity with the framework and its tools that support the assimilation process, level of documentation associated with the components and the framework, and design structure of the components and framework. This initial effort reviews different approaches for assimilating models and their model-specific input/output requirements: 1) modifying component models to directly communicate with the framework (i.e., through an Application Programming Interface), 2) developing model-specific external wrappers such that no component model modifications are required, 3) using parsing tools to visually map pre-existing input/output files, and 4) describing and linking models as dynamic link libraries. Most of these approaches are illustrated using the widely distributed modeling system called Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES). The review concludes that each has its strengths and weakness, the factors that determine which approaches work best in a given application.

  20. WRF-Chem model predictions of the regional impacts of N2O5 heterogeneous processes on night-time chemistry over north-western Europe

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Lowe, Douglas; Archer-Nicholls, Scott; Morgan, Will; Allan, James D.; Utembe, Steve; Ouyang, Bin; Aruffo, Eleonora; Le Breton, Michael; Zaveri, Rahul A.; di Carlo, Piero; et al

    2015-02-09

    Chemical modelling studies have been conducted over north-western Europe in summer conditions, showing that night-time dinitrogen pentoxide (N2O5) heterogeneous reactive uptake is important regionally in modulating particulate nitrate and has a~modest influence on oxidative chemistry. Results from Weather Research and Forecasting model with Chemistry (WRF-Chem) model simulations, run with a detailed volatile organic compound (VOC) gas-phase chemistry scheme and the Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) sectional aerosol scheme, were compared with a series of airborne gas and particulate measurements made over the UK in July 2010. Modelled mixing ratios of key gas-phase species were reasonably accurate (correlationsmore » with measurements of 0.7–0.9 for NO2 and O3). However modelled loadings of particulate species were less accurate (correlation with measurements for particulate sulfate and ammonium were between 0.0 and 0.6). Sulfate mass loadings were particularly low (modelled means of 0.5–0.7 μg kg−1air, compared with measurements of 1.0–1.5 μg kg−1air). Two flights from the campaign were used as test cases – one with low relative humidity (RH) (60–70%), the other with high RH (80–90%). N2O5 heterogeneous chemistry was found to not be important in the low-RH test case; but in the high-RH test case it had a strong effect and significantly improved the agreement between modelled and measured NO3 and N2O5. When the model failed to capture atmospheric RH correctly, the modelled NO3 and N2O5 mixing ratios for these flights differed significantly from the measurements. This demonstrates that, for regional modelling which involves heterogeneous processes, it is essential to capture the ambient temperature and water vapour profiles. The night-time NO3 oxidation of VOCs across the whole region was found to be 100–300 times slower than the daytime OH oxidation of these compounds. The difference in contribution was less for alkenes (× 80) and comparable for dimethylsulfide (DMS). However the suppression of NO3 mixing ratios across the domain by N2O5 heterogeneous chemistry has only a very slight, negative, influence on this oxidative capacity. The influence on regional particulate nitrate mass loadings is stronger. Night-time N2O5 heterogeneous chemistry maintains the production of particulate nitrate within polluted regions: when this process is taken into consideration, the daytime peak (for the 95th percentile) of PM10 nitrate mass loadings remains around 5.6 μg kg−1air, but the night-time minimum increases from 3.5 to 4.6 μg kg−1air. The sustaining of higher particulate mass loadings through the night by this process improves model skill at matching measured aerosol nitrate diurnal cycles and will negatively impact on regional air quality, requiring this process to be included in regional models.« less

  1. Application of an online-coupled regional climate model, WRF-CAM5, over East Asia for examination of ice nucleation schemes: Part I. Comprehensive model evaluation and trend analysis for 2006 and 2011

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Chen, Ying; Zhang, Yang; Fan, Jiwen; Leung, Lai -Yung; Zhang, Qiang; He, Kebin

    2015-08-18

    Online-coupled climate and chemistry models are necessary to realistically represent the interactions between climate variables and chemical species and accurately simulate aerosol direct and indirect effects on cloud, precipitation, and radiation. In this Part I of a two-part paper, simulations from the Weather Research and Forecasting model coupled with the physics package of Community Atmosphere Model (WRF-CAM5) are conducted with the default heterogeneous ice nucleation parameterization over East Asia for two full years: 2006 and 2011. A comprehensive model evaluation is performed using satellite and surface observations. The model shows an overall acceptable performance for major meteorological variables at themore » surface and in the boundary layer, as well as column variables (e.g., precipitation, cloud fraction, precipitating water vapor, downward longwave and shortwave radiation). Moderate to large biases exist for cloud condensation nuclei over oceanic areas, cloud variables (e.g., cloud droplet number concentration, cloud liquid and ice water paths, cloud optical depth, longwave and shortwave cloud forcing). These biases indicate a need to improve the model treatments for cloud processes, especially cloud droplets and ice nucleation, as well as to reduce uncertainty in the satellite retrievals. The model simulates well the column abundances of chemical species except for column SO2 but relatively poor for surface concentrations of several species such as CO, NO2, SO2, PM2.5, and PM10. Several reasons could contribute to the underestimation of major chemical species in East Asia including underestimations of anthropogenic emissions and natural dust emissions, uncertainties in the spatial and vertical distributions of the anthropogenic emissions, as well as biases in meteorological, radiative, and cloud predictions. Despite moderate to large biases in the chemical predictions, the model performance is generally consistent with or even better than that reported for East Asia with only a few exceptions. The model generally reproduces the observed seasonal variations and the difference between 2006 and 2011 for most variables or chemical species. Overall, these results demonstrate promising skills of WRF-CAM5 for long-term simulations at a regional scale and suggest several areas of potential improvements.« less

  2. Application of an online-coupled regional climate model, WRF-CAM5, over East Asia for examination of ice nucleation schemes: Part I. Comprehensive model evaluation and trend analysis for 2006 and 2011

    SciTech Connect (OSTI)

    Chen, Ying; Zhang, Yang; Fan, Jiwen; Leung, Lai -Yung; Zhang, Qiang; He, Kebin

    2015-08-18

    Online-coupled climate and chemistry models are necessary to realistically represent the interactions between climate variables and chemical species and accurately simulate aerosol direct and indirect effects on cloud, precipitation, and radiation. In this Part I of a two-part paper, simulations from the Weather Research and Forecasting model coupled with the physics package of Community Atmosphere Model (WRF-CAM5) are conducted with the default heterogeneous ice nucleation parameterization over East Asia for two full years: 2006 and 2011. A comprehensive model evaluation is performed using satellite and surface observations. The model shows an overall acceptable performance for major meteorological variables at the surface and in the boundary layer, as well as column variables (e.g., precipitation, cloud fraction, precipitating water vapor, downward longwave and shortwave radiation). Moderate to large biases exist for cloud condensation nuclei over oceanic areas, cloud variables (e.g., cloud droplet number concentration, cloud liquid and ice water paths, cloud optical depth, longwave and shortwave cloud forcing). These biases indicate a need to improve the model treatments for cloud processes, especially cloud droplets and ice nucleation, as well as to reduce uncertainty in the satellite retrievals. The model simulates well the column abundances of chemical species except for column SO2 but relatively poor for surface concentrations of several species such as CO, NO2, SO2, PM2.5, and PM10. Several reasons could contribute to the underestimation of major chemical species in East Asia including underestimations of anthropogenic emissions and natural dust emissions, uncertainties in the spatial and vertical distributions of the anthropogenic emissions, as well as biases in meteorological, radiative, and cloud predictions. Despite moderate to large biases in the chemical predictions, the model performance is generally consistent with or even better than that reported for East Asia with only a few exceptions. The model generally reproduces the observed seasonal variations and the difference between 2006 and 2011 for most variables or chemical species. Overall, these results demonstrate promising skills of WRF-CAM5 for long-term simulations at a regional scale and suggest several areas of potential improvements.

  3. Weather Research and Forecasting Model with the Immersed Boundary Method

    Energy Science and Technology Software Center (OSTI)

    2012-05-01

    The Weather Research and Forecasting (WRF) Model with the immersed boundary method is an extension of the open-source WRF Model available for wwww.wrf-model.org. The new code modifies the gridding procedure and boundary conditions in the WRF model to improve WRF's ability to simutate the atmosphere in environments with steep terrain and additionally at high-resolutions.

  4. Using Weather Data and Climate Model Output in Economic Analyses of Climate Change

    SciTech Connect (OSTI)

    Auffhammer, Maximilian; Hsiang, Solomon M.; Schlenker, Wolfram; Sobel, Adam H.

    2013-06-28

    Economists are increasingly using weather data and climate model output in analyses of the economic impacts of climate change. This article introduces a set of weather data sets and climate models that are frequently used, discusses the most common mistakes economists make in using these products, and identifies ways to avoid these pitfalls. We first provide an introduction to weather data, including a summary of the types of datasets available, and then discuss five common pitfalls that empirical researchers should be aware of when using historical weather data as explanatory variables in econometric applications. We then provide a brief overview of climate models and discuss two common and significant errors often made by economists when climate model output is used to simulate the future impacts of climate change on an economic outcome of interest.

  5. Application of an online-coupled regional climate model, WRF-CAM5, over East Asia for examination of ice nucleation schemes. Part II. Sensitivity to heterogeneous ice nucleation parameterizations and dust emissions

    SciTech Connect (OSTI)

    Zhang, Yang; Chen, Ying; Fan, Jiwen; Leung, Lai -Yung

    2015-09-14

    Aerosol particles can affect cloud microphysical properties by serving as ice nuclei (IN). Large uncertainties exist in the ice nucleation parameterizations (INPs) used in current climate models. In this Part II paper, to examine the sensitivity of the model predictions to different heterogeneous INPs, WRF-CAM5 simulation using the INP of Niemand et al. (N12) [1] is conducted over East Asia for two full years, 2006 and 2011, and compared with simulation using the INP of Meyers et al. (M92) [2], which is the original INP used in CAM5. M92 calculates the nucleated ice particle concentration as a function of ice supersaturation, while N12 represents the nucleated ice particle concentration as a function of temperature and the number concentrations and surface areas of dust particles. Compared to M92, the WRF-CAM5 simulation with N12 produces significantly higher nucleated ice crystal number concentrations (ICNCs) in the northern domain where dust sources are located, leading to significantly higher cloud ice number and mass concentrations and ice water path, but the opposite is true in the southern domain where temperatures and moistures play a more important role in ice formation. Overall, the simulation with N12 gives lower downward shortwave radiation but higher downward longwave radiation, cloud liquid water path, cloud droplet number concentrations, and cloud optical depth. The increase in cloud optical depth and the decrease in downward solar flux result in a stronger shortwave and longwave cloud forcing, and decreases temperature at 2-m and precipitation. Changes in temperature and radiation lower surface concentrations of OH, O?, SO??, and PM2.5, but increase surface concentrations of CO, NO?, and SO? over most of the domain. By acting as cloud condensation nuclei (CCN) and IN, dust particles have different impacts on cloud water and ice number concentrations, radiation, and temperature at 2-m and precipitation depending on whether the dominant role of dust is CCN or IN. These results indicate the importance of the heterogeneous ice nucleation treatments and dust emissions in accurately simulating regional climate and air quality.

  6. Application of an online-coupled regional climate model, WRF-CAM5, over East Asia for examination of ice nucleation schemes. Part II. Sensitivity to heterogeneous ice nucleation parameterizations and dust emissions

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zhang, Yang; Chen, Ying; Fan, Jiwen; Leung, Lai -Yung

    2015-09-14

    Aerosol particles can affect cloud microphysical properties by serving as ice nuclei (IN). Large uncertainties exist in the ice nucleation parameterizations (INPs) used in current climate models. In this Part II paper, to examine the sensitivity of the model predictions to different heterogeneous INPs, WRF-CAM5 simulation using the INP of Niemand et al. (N12) [1] is conducted over East Asia for two full years, 2006 and 2011, and compared with simulation using the INP of Meyers et al. (M92) [2], which is the original INP used in CAM5. M92 calculates the nucleated ice particle concentration as a function of icemore » supersaturation, while N12 represents the nucleated ice particle concentration as a function of temperature and the number concentrations and surface areas of dust particles. Compared to M92, the WRF-CAM5 simulation with N12 produces significantly higher nucleated ice crystal number concentrations (ICNCs) in the northern domain where dust sources are located, leading to significantly higher cloud ice number and mass concentrations and ice water path, but the opposite is true in the southern domain where temperatures and moistures play a more important role in ice formation. Overall, the simulation with N12 gives lower downward shortwave radiation but higher downward longwave radiation, cloud liquid water path, cloud droplet number concentrations, and cloud optical depth. The increase in cloud optical depth and the decrease in downward solar flux result in a stronger shortwave and longwave cloud forcing, and decreases temperature at 2-m and precipitation. Changes in temperature and radiation lower surface concentrations of OH, O₃, SO₄²⁻, and PM2.5, but increase surface concentrations of CO, NO₂, and SO₂ over most of the domain. By acting as cloud condensation nuclei (CCN) and IN, dust particles have different impacts on cloud water and ice number concentrations, radiation, and temperature at 2-m and precipitation depending on whether the dominant role of dust is CCN or IN. These results indicate the importance of the heterogeneous ice nucleation treatments and dust emissions in accurately simulating regional climate and air quality.« less

  7. Simulating atmosphere flow for wind energy applications with WRF-LES

    SciTech Connect (OSTI)

    Lundquist, J K; Mirocha, J D; Chow, F K; Kosovic, B; Lundquist, K A

    2008-01-14

    Forecasts of available wind energy resources at high spatial resolution enable users to site wind turbines in optimal locations, to forecast available resources for integration into power grids, to schedule maintenance on wind energy facilities, and to define design criteria for next-generation turbines. This array of research needs implies that an appropriate forecasting tool must be able to account for mesoscale processes like frontal passages, surface-atmosphere interactions inducing local-scale circulations, and the microscale effects of atmospheric stability such as breaking Kelvin-Helmholtz billows. This range of scales and processes demands a mesoscale model with large-eddy simulation (LES) capabilities which can also account for varying atmospheric stability. Numerical weather prediction models, such as the Weather and Research Forecasting model (WRF), excel at predicting synoptic and mesoscale phenomena. With grid spacings of less than 1 km (as is often required for wind energy applications), however, the limits of WRF's subfilter scale (SFS) turbulence parameterizations are exposed, and fundamental problems arise, associated with modeling the scales of motion between those which LES can represent and those for which large-scale PBL parameterizations apply. To address these issues, we have implemented significant modifications to the ARW core of the Weather Research and Forecasting model, including the Nonlinear Backscatter model with Anisotropy (NBA) SFS model following Kosovic (1997) and an explicit filtering and reconstruction technique to compute the Resolvable Subfilter-Scale (RSFS) stresses (following Chow et al, 2005).We are also modifying WRF's terrain-following coordinate system by implementing an immersed boundary method (IBM) approach to account for the effects of complex terrain. Companion papers presenting idealized simulations with NBA-RSFS-WRF (Mirocha et al.) and IBM-WRF (K. A. Lundquist et al.) are also presented. Observations of flow through the Altamont Pass (Northern California) wind farm are available for validation of the WRF modeling tool for wind energy applications. In this presentation, we use these data to evaluate simulations using the NBA-RSFS-WRF tool in multiple configurations. We vary nesting capabilities, multiple levels of RSFS reconstruction, SFS turbulence models (the new NBA turbulence model versus existing WRF SFS turbulence models) to illustrate the capabilities of the modeling tool and to prioritize recommendations for operational uses. Nested simulations which capture both significant mesoscale processes as well as local-scale stable boundary layer effects are required to effectively predict available wind resources at turbine height.

  8. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) ...

  9. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all ...

  10. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric ...

  11. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) ...

  12. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric ...

  13. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric ...

  14. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    F. Wood Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all ...

  15. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    F. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities ...

  16. Light output measurements and computational models of microcolumnar CsI scintillators for x-ray imaging

    SciTech Connect (OSTI)

    Nillius, Peter Klamra, Wlodek; Danielsson, Mats; Sibczynski, Pawel; Sharma, Diksha; Badano, Aldo

    2015-02-15

    Purpose: The authors report on measurements of light output and spatial resolution of microcolumnar CsI:Tl scintillator detectors for x-ray imaging. In addition, the authors discuss the results of simulations aimed at analyzing the results of synchrotron and sealed-source exposures with respect to the contributions of light transport to the total light output. Methods: The authors measured light output from a 490-?m CsI:Tl scintillator screen using two setups. First, the authors used a photomultiplier tube (PMT) to measure the response of the scintillator to sealed-source exposures. Second, the authors performed imaging experiments with a 27-keV monoenergetic synchrotron beam and a slit to calculate the total signal generated in terms of optical photons per keV. The results of both methods are compared to simulations obtained with hybridMANTIS, a coupled x-ray, electron, and optical photon Monte Carlo transport package. The authors report line response (LR) and light output for a range of linear absorption coefficients and describe a model that fits at the same time the light output and the blur measurements. Comparing the experimental results with the simulations, the authors obtained an estimate of the absorption coefficient for the model that provides good agreement with the experimentally measured LR. Finally, the authors report light output simulation results and their dependence on scintillator thickness and reflectivity of the backing surface. Results: The slit images from the synchrotron were analyzed to obtain a total light output of 48 keV{sup ?1} while measurements using the fast PMT instrument setup and sealed-sources reported a light output of 28 keV{sup ?1}. The authors attribute the difference in light output estimates between the two methods to the difference in time constants between the camera and PMT measurements. Simulation structures were designed to match the light output measured with the camera while providing good agreement with the measured LR resulting in a bulk absorption coefficient of 5 10{sup ?5} ?m{sup ?1}. Conclusions: The combination of experimental measurements for microcolumnar CsI:Tl scintillators using sealed-sources and synchrotron exposures with results obtained via simulation suggests that the time course of the emission might play a role in experimental estimates. The procedure yielded an experimentally derived linear absorption coefficient for microcolumnar Cs:Tl of 5 10{sup ?5} ?m{sup ?1}. To the authors knowledge, this is the first time this parameter has been validated against experimental observations. The measurements also offer insight into the relative role of optical transport on the effective optical yield of the scintillator with microcolumnar structure.

  17. WRF-Chem model predictions of the regional impacts of N2O5 heterogeneous processes on night-time chemistry over north-western Europe

    SciTech Connect (OSTI)

    Lowe, Douglas; Archer-Nicholls, Scott; Morgan, Will; Allan, James D.; Utembe, Steve; Ouyang, Bin; Aruffo, Eleonora; Le Breton, Michael; Zaveri, Rahul A.; di Carlo, Piero; Percival, Carl; Coe, H.; Jones, Roderic L.; McFiggans, Gordon

    2015-02-09

    Chemical modelling studies have been conducted over north-western Europe in summer conditions, showing that night-time dinitrogen pentoxide (N2O5) heterogeneous reactive uptake is important regionally in modulating particulate nitrate and has a~modest influence on oxidative chemistry. Results from Weather Research and Forecasting model with Chemistry (WRF-Chem) model simulations, run with a detailed volatile organic compound (VOC) gas-phase chemistry scheme and the Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) sectional aerosol scheme, were compared with a series of airborne gas and particulate measurements made over the UK in July 2010. Modelled mixing ratios of key gas-phase species were reasonably accurate (correlations with measurements of 0.70.9 for NO2 and O3). However modelled loadings of particulate species were less accurate (correlation with measurements for particulate sulfate and ammonium were between 0.0 and 0.6). Sulfate mass loadings were particularly low (modelled means of 0.50.7 ?g kg?1air, compared with measurements of 1.01.5 ?g kg?1air). Two flights from the campaign were used as test cases one with low relative humidity (RH) (6070%), the other with high RH (8090%). N2O5 heterogeneous chemistry was found to not be important in the low-RH test case; but in the high-RH test case it had a strong effect and significantly improved the agreement between modelled and measured NO3 and N2O5. When the model failed to capture atmospheric RH correctly, the modelled NO3 and N2O5 mixing ratios for these flights differed significantly from the measurements. This demonstrates that, for regional modelling which involves heterogeneous processes, it is essential to capture the ambient temperature and water vapour profiles.

    The night-time NO3 oxidation of VOCs across the whole region was found to be 100300 times slower than the daytime OH oxidation of these compounds. The difference in contribution was less for alkenes ( 80) and comparable for dimethylsulfide (DMS). However the suppression of NO3 mixing ratios across the domain by N2O5 heterogeneous chemistry has only a very slight, negative, influence on this oxidative capacity. The influence on regional particulate nitrate mass loadings is stronger. Night-time N2O5 heterogeneous chemistry maintains the production of particulate nitrate within polluted regions: when this process is taken into consideration, the daytime peak (for the 95th percentile) of PM10 nitrate mass loadings remains around 5.6 ?g kg?1air, but the night-time minimum increases from 3.5 to 4.6 ?g kg?1air. The sustaining of higher particulate mass loadings through the night by this process improves model skill at matching measured aerosol nitrate diurnal cycles and will negatively impact on regional air quality, requiring this process to be included in regional models.

  18. DE-SC0004670 Final Technical Report Project Title: Two-Way Integration of WRF and CCSM for Regional Climate Simulations

    Office of Scientific and Technical Information (OSTI)

    SC0004670 Final Technical Report Project Title: Two-Way Integration of WRF and CCSM for Regional Climate Simulations Investigators: Wuyin Lin, Minghua Zhang, Xiangmin Jiao, Brian Colle, Andrew M. Vogelmann, Marat Khairoutdinov, and L. Ruby Leung Under the support of the DOE award DE-SC0004670, we have successfully developed an integrated climate modeling system by nesting Weather Research and Forecasting (WRF) model within the Community Climate System Model (CCSM) and the ensuing new generation

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,158 0 415 5 738 2005 994 0 519 212 263 2006 1,034 0 267 549 218 2007 985 0 226 532 228 2008 552 0 271 211 70 2009 440 0 313 91 37 2010 847 0 643 174 30 2011 1,635 0 1,422 165 48 2012 1,630 0 1,441 156 32 2013 414 0 132 206 76 2014 852 88 266 326 173

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 351,871 80,824 16,659 654,242 126,157 667,341 45,456 1,942,550 2005 341,806 79,362 13,021 624,008 138,469 664,691 41,400 1,902,757 2006 332,548 54,224 24,009 603,288 126,049 689,549 49,308 1,878,973 2007 326,803 50,882 25,373 554,394 116,313 651,230 46,822 1,771,816

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 39,014 5,731 2,486 239,416 18,200 17,347 3,822 326,017 2005 39,652 5,571 2,238 239,324 36,694 18,240 3,884 345,605 2006 38,133 4,812 2,253 207,095 22,567 17,284 4,435 296,579 2007 38,260 5,294 1,862 212,705 20,473 19,166 4,459 302,219 2008 37,220 5,479 1,353 204,167

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Useful Thermal Output by Energy Source: Commercial Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 22,450 4,118 165 21,851 0 8,936 6,350 63,871 2005 22,601 3,518 166 20,227 0 8,647 5,921 61,081 2006 22,186 2,092 172 19,370 0.22 9,359 6,242 59,422 2007 22,595 1,640 221 20,040 0 6,651 3,983 55,131 2008 22,991 1,822 177 20,183 0 8,863 6,054 60,091 2009 20,057 1,095 155

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Useful Thermal Output by Energy Source: Industrial Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 290,407 70,976 14,008 392,974 107,956 641,058 35,284 1,552,663 2005 279,552 70,273 10,616 364,457 101,775 637,803 31,594 1,496,071 2006 272,229 47,320 21,584 376,822 103,481 662,906 38,630 1,522,971 2007 265,948 43,948 23,290 321,648 95,840 625,413 38,380 1,414,466 2008

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Coal: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 24,275 0 3,809 1,540 18,926 2005 23,833 0 3,918 1,544 18,371 2006 23,227 0 3,834 1,539 17,854 2007 22,810 0 3,795 1,566 17,449 2008 22,168 0 3,689 1,652 16,827 2009 20,507 0 3,935 1,481 15,091 2010 21,727 0 3,808 1,406 16,513 2011 21,532 0 3,628 1,321 16,584

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,044,798 772,224 244,044 1,917 26,613 2005 1,065,281 761,349 276,135 1,922 25,875 2006 1,053,783 753,390 273,246 1,886 25,262 2007 1,069,606 764,765 280,377 1,927 22,537 2008 1,064,503 760,326 280,254 2,021 21,902 2009 955,190 695,615

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Coal: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 564,497 0 87,981 34,538 441,978 2005 548,666 0 88,364 34,616 425,685 2006 532,561 0 84,335 34,086 414,140 2007 521,717 0 83,838 34,690 403,189 2008 503,096 0 81,416 36,163 385,517 2009 462,674 0 90,867 32,651 339,156 2010 490,931 0 90,184 30,725 370,022 2011

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 20,654 0 1,501 1,203 17,951 2005 20,494 0 1,392 1,004 18,097 2006 14,077 0 1,153 559 12,365 2007 13,462 0 1,303 441 11,718 2008 7,533 0 1,311 461 5,762 2009 8,128 0 1,301 293 6,534 2010 4,866 0 1,086 212 3,567 2011 3,826 0 1,004 168 2,654 2012

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 185,761 103,793 57,843 1,963 22,162 2005 185,631 98,223 63,546 1,584 22,278 2006 87,898 53,529 18,332 886 15,150 2007 95,895 56,910 24,097 691 14,198 2008 61,379 38,995 14,463 621 7,300 2009 51,690 31,847 11,181 477

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 124,809 0 8,592 7,219 108,997 2005 125,689 0 8,134 6,145 111,410 2006 87,137 0 6,740 3,481 76,916 2007 82,768 0 7,602 2,754 72,412 2008 45,481 0 7,644 2,786 35,051 2009 48,912 0 7,557 1,802 39,552 2010 29,243 0 6,402 1,297 21,545 2011 22,799 0 5,927

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,043 0 237 8 798 2005 783 0 206 8 568 2006 1,259 0 195 9 1,055 2007 1,262 0 162 11 1,090 2008 897 0 119 9 769 2009 1,007 0 126 8 873 2010 1,059 0 98 11 950 2011 1,080 0 112 6 962 2012 1,346 0 113 11 1,222 2013 1,486 0 96 11 1,379 2014 1,283 3 90 16

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 8,721 4,150 3,223 9 1,339 2005 9,113 4,130 3,953 9 1,020 2006 8,622 3,619 3,482 10 1,511 2007 7,299 2,808 2,877 12 1,602 2008 6,314 2,296 2,823 10 1,184 2009 5,828 2,761 1,850 9 1,209 2010 6,053 3,325 1,452 12 1,264 2011

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 29,342 0 6,768 226 22,347 2005 22,224 0 5,935 228 16,061 2006 38,169 0 5,672 236 32,262 2007 38,033 0 4,710 303 33,019 2008 27,100 0 3,441 243 23,416 2009 29,974 0 3,652 213 26,109 2010 31,303 0 2,855 296 28,152 2011 31,943 0 3,244 153 28,546 2012

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,052,100 0 388,424 39,233 624,443 2005 984,340 0 384,365 34,172 565,803 2006 942,817 0 330,878 33,112 578,828 2007 872,579 0 339,796 35,987 496,796 2008 793,537 0 326,048 32,813 434,676 2009 816,787 0 305,542 41,275 469,970 2010 821,775 0 301,769

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 6,726,679 1,809,443 3,654,320 72,072 1,190,844 2005 7,020,709 2,134,859 3,734,286 67,957 1,083,607 2006 7,404,432 2,478,396 3,743,704 67,735 1,114,597 2007 7,961,922 2,736,418 4,104,991 70,074 1,050,439 2008 7,689,380

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,085,191 0 398,476 40,122 646,593 2005 1,008,404 0 392,842 35,037 580,525 2006 968,574 0 339,047 33,928 595,599 2007 894,272 0 347,181 36,689 510,402 2008 813,794 0 333,197 33,434 447,163 2009 836,863 0 312,553 42,032 482,279 2010 841,521 0 308,246 47,001

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,016,124 0 14,968 1,493 999,663 2005 997,331 0 19,193 1,028 977,111 2006 1,049,161 0 18,814 1,045 1,029,303 2007 982,486 0 21,435 1,756 959,296 2008 923,889 0 18,075 1,123 904,690 2009 816,285 0 19,587 1,135 795,563 2010 876,041 0 18,357

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 2,174 0 735 10 1,429 2005 1,923 0 965 435 522 2006 2,051 0 525 1,094 433 2007 1,988 0 386 1,102 501 2008 1,025 0 454 433 138 2009 793 0 545 176 72 2010 1,623 0 1,195 370 58 2011 3,195 0 2,753 351 91 2012 3,189 0 2,788 340 61 2013 831 0 261 423 147

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 146,018 11,250 126,584 4,091 4,093 2005 143,822 11,490 124,030 5,232 3,070 2006 162,084 16,617 136,632 7,738 1,096 2007 168,762 17,442 144,490 5,699 1,131 2008 196,802 20,465 170,001 5,668 668 2009 207,585 19,583 181,234

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 2,743 0 651 1,628 464 2005 2,719 0 623 1,536 560 2006 2,840 0 725 1,595 520 2007 2,219 0 768 1,136 315 2008 2,328 0 806 1,514 8 2009 2,426 0 823 1,466 137 2010 2,287 0 819 1,316 152 2011 2,044 0 742 1,148 154 2012 1,986 0 522 1,273 190

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 22,330 444 17,959 3,439 488 2005 22,089 560 17,655 3,289 584 2006 22,469 500 18,068 3,356 545 2007 21,796 553 17,885 2,921 437 2008 22,134 509 18,294 3,323 8 2009 22,095 465 17,872 3,622 137 2010 21,725 402

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 19,991 0 4,746 12,295 2,950 2005 20,296 0 4,551 11,991 3,754 2006 21,729 0 5,347 12,654 3,728 2007 16,174 0 5,683 8,350 2,141 2008 18,272 0 6,039 12,174 59 2009 18,785 0 6,229 11,535 1,021 2010 17,502 0 6,031 10,333 1,138 2011 16,766 0

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Other Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 30,228 0 12,055 2,627 15,547 2005 38,010 0 10,275 2,086 25,649 2006 36,966 0 8,561 2,318 26,087 2007 41,757 0 10,294 2,643 28,820 2008 41,851 0 9,674 1,542 30,635 2009 41,810 0 10,355 1,638 29,817 2010 47,153 0 8,436 1,648 37,070 2011 43,483 0

  3. Revenue Requirements Modeling System (RRMS) documentation. Volume I. Methodology description and user's guide. Appendix A: model abstract; Appendix B: technical appendix; Appendix C: sample input and output. [Compustat

    SciTech Connect (OSTI)

    Not Available

    1986-03-01

    The Revenue Requirements Modeling System (RRMS) is a utility specific financial modeling system used by the Energy Information Administration (EIA) to evaluate the impact on electric utilities of changes in the regulatory, economic, and tax environments. Included in the RRMS is a power plant life-cycle revenue requirements model designed to assess the comparative economic advantage of alternative generating plant. This report is Volume I of a 2-volume set and provides a methodology description and user's guide, a model abstract and technical appendix, and sample input and output for the models. Volume II provides an operator's manual and a program maintenance guide.

  4. A New WRF-Chem Treatment for Studying Regional Scale Impacts of Cloud-Aerosol Interactions in Parameterized Cumuli

    SciTech Connect (OSTI)

    Berg, Larry K.; Shrivastava, ManishKumar B.; Easter, Richard C.; Fast, Jerome D.; Chapman, Elaine G.; Liu, Ying

    2015-01-01

    A new treatment of cloud-aerosol interactions within parameterized shallow and deep convection has been implemented in WRF-Chem that can be used to better understand the aerosol lifecycle over regional to synoptic scales. The modifications to the model to represent cloud-aerosol interactions include treatment of the cloud dropletnumber mixing ratio; key cloud microphysical and macrophysical parameters (including the updraft fractional area, updraft and downdraft mass fluxes, and entrainment) averaged over the population of shallow clouds, or a single deep convective cloud; and vertical transport, activation/resuspension, aqueous chemistry, and wet removal of aerosol and trace gases in warm clouds. Thesechanges have been implemented in both the WRF-Chem chemistry packages as well as the Kain-Fritsch cumulus parameterization that has been modified to better represent shallow convective clouds. Preliminary testing of the modified WRF-Chem has been completed using observations from the Cumulus Humilis Aerosol Processing Study (CHAPS) as well as a high-resolution simulation that does not include parameterized convection. The simulation results are used to investigate the impact of cloud-aerosol interactions on the regional scale transport of black carbon (BC), organic aerosol (OA), and sulfate aerosol. Based on the simulations presented here, changes in the column integrated BC can be as large as -50% when cloud-aerosol interactions are considered (due largely to wet removal), or as large as +35% for sulfate in non-precipitating conditions due to the sulfate production in the parameterized clouds. The modifications to WRF-Chem version 3.2.1 are found to account for changes in the cloud drop number concentration (CDNC) and changes in the chemical composition of cloud-drop residuals in a way that is consistent with observations collected during CHAPS. Efforts are currently underway to port the changes described here to WRF-Chem version 3.5, and it is anticipated that they will be included in a future public release of WRF-Chem.

  5. Prediction of Lumen Output and Chromaticity Shift in LEDs Using Kalman Filter and Extended Kalman Filter Based Models

    SciTech Connect (OSTI)

    Lall, Pradeep; Wei, Junchao; Davis, J Lynn

    2014-06-24

    Abstract Solid-state lighting (SSL) luminaires containing light emitting diodes (LEDs) have the potential of seeing excessive temperatures when being transported across country or being stored in non-climate controlled warehouses. They are also being used in outdoor applications in desert environments that see little or no humidity but will experience extremely high temperatures during the day. This makes it important to increase our understanding of what effects high temperature exposure for a prolonged period of time will have on the usability and survivability of these devices. Traditional light sources burn out at end-of-life. For an incandescent bulb, the lamp life is defined by B50 life. However, the LEDs have no filament to burn. The LEDs continually degrade and the light output decreases eventually below useful levels causing failure. Presently, the TM-21 test standard is used to predict the L70 life of LEDs from LM-80 test data. Several failure mechanisms may be active in a LED at a single time causing lumen depreciation. The underlying TM-21 Model may not capture the failure physics in presence of multiple failure mechanisms. Correlation of lumen maintenance with underlying physics of degradation at system-level is needed. In this paper, Kalman Filter (KF) and Extended Kalman Filters (EKF) have been used to develop a 70-percent Lumen Maintenance Life Prediction Model for LEDs used in SSL luminaires. Ten-thousand hour LM-80 test data for various LEDs have been used for model development. System state at each future time has been computed based on the state space at preceding time step, system dynamics matrix, control vector, control matrix, measurement matrix, measured vector, process noise and measurement noise. The future state of the lumen depreciation has been estimated based on a second order Kalman Filter model and a Bayesian Framework. Life prediction of L70 life for the LEDs used in SSL luminaires from KF and EKF based models have been compared with the TM-21 model predictions and experimental data.

  6. ARM - Campaign Instrument - wrf-chem

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Derived Quantities and Models, Surface Meteorology Campaigns Carbonaceous Aerosol and Radiation Effects Study (CARES) - Surface Meteorological Sounding Download Data Off...

  7. Two-Way Integration of WRF and CCSM for Regional Climate Simulations...

    Office of Scientific and Technical Information (OSTI)

    the process of dynamical downscaling by avoiding massive intermediate model outputs at high frequency that are typically required for offline regional downscaling. The inline...

  8. Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tessum, C. W.; Hill, J. D.; Marshall, J. D.

    2015-04-07

    We present results from and evaluate the performance of a 12-month, 12 km horizontal resolution year 2005 air pollution simulation for the contiguous United States using the WRF-Chem (Weather Research and Forecasting with Chemistry) meteorology and chemical transport model (CTM). We employ the 2005 US National Emissions Inventory, the Regional Atmospheric Chemistry Mechanism (RACM), and the Modal Aerosol Dynamics Model for Europe (MADE) with a volatility basis set (VBS) secondary aerosol module. Overall, model performance is comparable to contemporary modeling efforts used for regulatory and health-effects analysis, with an annual average daytime ozone (O3) mean fractional bias (MFB) of 12%more » and an annual average fine particulate matter (PM2.5) MFB of −1%. WRF-Chem, as configured here, tends to overpredict total PM2.5 at some high concentration locations and generally overpredicts average 24 h O3 concentrations. Performance is better at predicting daytime-average and daily peak O3 concentrations, which are more relevant for regulatory and health effects analyses relative to annual average values. Predictive performance for PM2.5 subspecies is mixed: the model overpredicts particulate sulfate (MFB = 36%), underpredicts particulate nitrate (MFB = −110%) and organic carbon (MFB = −29%), and relatively accurately predicts particulate ammonium (MFB = 3%) and elemental carbon (MFB = 3%), so that the accuracy in total PM2.5 predictions is to some extent a function of offsetting over- and underpredictions of PM2.5 subspecies. Model predictive performance for PM2.5 and its subspecies is in general worse in winter and in the western US than in other seasons and regions, suggesting spatial and temporal opportunities for future WRF-Chem model development and evaluation.« less

  9. Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tessum, C. W.; Hill, J. D.; Marshall, J. D.

    2014-12-02

    We present results from and evaluate the performance of a 12 month, 12 km horizontal resolution air pollution simulation for the contiguous United States using the WRF-Chem (Weather Research and Forecasting with Chemistry) meteorology and chemical transport model (CTM). We employ the 2005 US National Emissions Inventory, the Regional Atmospheric Chemistry Mechanism (RACM), and the Modal Aerosol Dynamics Model for Europe (MADE) with a Volatility Basis Set (VBS) secondary aerosol module. Overall, model performance is comparable to contemporary models used for regulatory and health-effects analysis, with an annual average daytime ozone (O3) mean fractional bias (MFB) of 12% and anmore » annual average fine particulate matter (PM2.5) MFB of −1%. WRF-Chem, as configured here, tends to overpredict total PM2.5 at some high concentration locations, and generally overpredicts average 24 h O3 concentrations, with better performance at predicting average daytime and daily peak O3 concentrations. Predictive performance for PM2.5 subspecies is mixed: the model overpredicts particulate sulfate (MFB = 65%), underpredicts particulate nitrate (MFB = −110%) and organic carbon (MFB = −65%), and relatively accurately predicts particulate ammonium (MFB = 3%) and elemental carbon (MFB = 3%), so that the accuracy in total PM2.5 predictions is to some extent a function of offsetting over- and underpredictions of PM2.5 subspecies. Model predictive performance for PM2.5 and its subspecies is in general worse in winter and in the western US than in other seasons and regions, suggesting spatial and temporal opportunities for future WRF-Chem model development and evaluation.« less

  10. Application of global weather and climate model output to the design and operation of wind-energy systems

    SciTech Connect (OSTI)

    Curry, Judith

    2015-05-21

    This project addressed the challenge of providing weather and climate information to support the operation, management and planning for wind-energy systems. The need for forecast information is extending to longer projection windows with increasing penetration of wind power into the grid and also with diminishing reserve margins to meet peak loads during significant weather events. Maintenance planning and natural gas trading is being influenced increasingly by anticipation of wind generation on timescales of weeks to months. Future scenarios on decadal time scales are needed to support assessment of wind farm siting, government planning, long-term wind purchase agreements and the regulatory environment. The challenge of making wind forecasts on these longer time scales is associated with a wide range of uncertainties in general circulation and regional climate models that make them unsuitable for direct use in the design and planning of wind-energy systems. To address this challenge, CFAN has developed a hybrid statistical/dynamical forecasting scheme for delivering probabilistic forecasts on time scales from one day to seven months using what is arguably the best forecasting system in the world (European Centre for Medium Range Weather Forecasting, ECMWF). The project also provided a framework to assess future wind power through developing scenarios of interannual to decadal climate variability and change. The Phase II research has successfully developed an operational wind power forecasting system for the U.S., which is being extended to Europe and possibly Asia.

  11. A new WRF-Chem treatment for studying regional-scale impacts of cloud processes on aerosol and trace gases in parameterized cumuli

    SciTech Connect (OSTI)

    Berg, L. K.; Shrivastava, M.; Easter, R. C.; Fast, J. D.; Chapman, E. G.; Liu, Y.; Ferrare, R. A.

    2015-02-24

    A new treatment of cloud effects on aerosol and trace gases within parameterized shallow and deep convection, and aerosol effects on cloud droplet number, has been implemented in the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) version 3.2.1 that can be used to better understand the aerosol life cycle over regional to synoptic scales. The modifications to the model include treatment of the cloud droplet number mixing ratio; key cloud microphysical and macrophysical parameters (including the updraft fractional area, updraft and downdraft mass fluxes, and entrainment) averaged over the population of shallow clouds, or a single deep convective cloud; and vertical transport, activation/resuspension, aqueous chemistry, and wet removal of aerosol and trace gases in warm clouds. These changes have been implemented in both the WRF-Chem chemistry packages as well as the Kain–Fritsch (KF) cumulus parameterization that has been modified to better represent shallow convective clouds. Testing of the modified WRF-Chem has been completed using observations from the Cumulus Humilis Aerosol Processing Study (CHAPS). The simulation results are used to investigate the impact of cloud–aerosol interactions on regional-scale transport of black carbon (BC), organic aerosol (OA), and sulfate aerosol. Based on the simulations presented here, changes in the column-integrated BC can be as large as –50% when cloud–aerosol interactions are considered (due largely to wet removal), or as large as +40% for sulfate under non-precipitating conditions due to sulfate production in the parameterized clouds. The modifications to WRF-Chem are found to account for changes in the cloud droplet number concentration (CDNC) and changes in the chemical composition of cloud droplet residuals in a way that is consistent with observations collected during CHAPS. Efforts are currently underway to port the changes described here to the latest version of WRF-Chem, and it is anticipated that they will be included in a future public release of WRF-Chem.

  12. A new WRF-Chem treatment for studying regional-scale impacts of cloud processes on aerosol and trace gases in parameterized cumuli

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Berg, L. K.; Shrivastava, M.; Easter, R. C.; Fast, J. D.; Chapman, E. G.; Liu, Y.; Ferrare, R. A.

    2015-02-24

    A new treatment of cloud effects on aerosol and trace gases within parameterized shallow and deep convection, and aerosol effects on cloud droplet number, has been implemented in the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) version 3.2.1 that can be used to better understand the aerosol life cycle over regional to synoptic scales. The modifications to the model include treatment of the cloud droplet number mixing ratio; key cloud microphysical and macrophysical parameters (including the updraft fractional area, updraft and downdraft mass fluxes, and entrainment) averaged over the population of shallow clouds, or a single deep convectivemore » cloud; and vertical transport, activation/resuspension, aqueous chemistry, and wet removal of aerosol and trace gases in warm clouds. These changes have been implemented in both the WRF-Chem chemistry packages as well as the Kain–Fritsch (KF) cumulus parameterization that has been modified to better represent shallow convective clouds. Testing of the modified WRF-Chem has been completed using observations from the Cumulus Humilis Aerosol Processing Study (CHAPS). The simulation results are used to investigate the impact of cloud–aerosol interactions on regional-scale transport of black carbon (BC), organic aerosol (OA), and sulfate aerosol. Based on the simulations presented here, changes in the column-integrated BC can be as large as –50% when cloud–aerosol interactions are considered (due largely to wet removal), or as large as +40% for sulfate under non-precipitating conditions due to sulfate production in the parameterized clouds. The modifications to WRF-Chem are found to account for changes in the cloud droplet number concentration (CDNC) and changes in the chemical composition of cloud droplet residuals in a way that is consistent with observations collected during CHAPS. Efforts are currently underway to port the changes described here to the latest version of WRF-Chem, and it is anticipated that they will be included in a future public release of WRF-Chem.« less

  13. Comparing urban solid waste recycling from the viewpoint of urban metabolism based on physical input-output model: A case of Suzhou in China

    SciTech Connect (OSTI)

    Liang Sai; Zhang Tianzhu

    2012-01-15

    Highlights: Black-Right-Pointing-Pointer Impacts of solid waste recycling on Suzhou's urban metabolism in 2015 are analyzed. Black-Right-Pointing-Pointer Sludge recycling for biogas is regarded as an accepted method. Black-Right-Pointing-Pointer Technical levels of reusing scrap tires and food wastes should be improved. Black-Right-Pointing-Pointer Other fly ash utilization methods should be exploited. Black-Right-Pointing-Pointer Secondary wastes from reusing food wastes and sludge should be concerned. - Abstract: Investigating impacts of urban solid waste recycling on urban metabolism contributes to sustainable urban solid waste management and urban sustainability. Using a physical input-output model and scenario analysis, urban metabolism of Suzhou in 2015 is predicted and impacts of four categories of solid waste recycling on urban metabolism are illustrated: scrap tire recycling, food waste recycling, fly ash recycling and sludge recycling. Sludge recycling has positive effects on reducing all material flows. Thus, sludge recycling for biogas is regarded as an accepted method. Moreover, technical levels of scrap tire recycling and food waste recycling should be improved to produce positive effects on reducing more material flows. Fly ash recycling for cement production has negative effects on reducing all material flows except solid wastes. Thus, other fly ash utilization methods should be exploited. In addition, the utilization and treatment of secondary wastes from food waste recycling and sludge recycling should be concerned.

  14. WRF-Chem Simulations of Aerosols and Anthropogenic Aerosol Radiative Forcing in East Asia

    SciTech Connect (OSTI)

    Gao, Yi; Zhao, Chun; Liu, Xiaohong; Zhang, Meigen; Leung, Lai-Yung R.

    2014-08-01

    This study aims to provide a first comprehensive evaluation of WRF-Chem for modeling aerosols and anthropogenic aerosol radiative forcing (RF) over East Asia. Several numerical experiments were conducted from November 2007 to December 2008. Comparison between model results and observations shows that the model can generally reproduce the observed spatial distributions of aerosol concentration, aerosol optical depth (AOD) and single scattering albedo (SSA) from measurements at different sites, including the relatively higher aerosol concentration and AOD over East China and the relatively lower AOD over Southeast Asia, Korean, and Japan. The model also depicts the seasonal variation and transport of pollutions over East Asia. Particulate matter of 10 um or less in the aerodynamic diameter (PM10), black carbon (BC), sulfate (SO42-), nitrate (NO3-) and ammonium (NH4+) concentrations are higher in spring than other seasons in Japan due to the pollutant transport from polluted area of East Asia. AOD is high over Southwest and Central China in winter, spring and autumn and over North China in summer while is low over South China in summer due to monsoon precipitation. SSA is lowest in winter and highest in summer. The model also captures the dust events at the Zhangye site in the semi-arid region of China. Anthropogenic aerosol RF is estimated to range from -5 to -20 W m-2 over land and -20 to -40 W m-2 over ocean at the top of atmosphere (TOA), 5 to 30 W m-2 in the atmosphere (ATM) and -15 to -40 W m-2 at the bottom (BOT). The warming effect of anthropogenic aerosol in ATM results from BC aerosol while the negative aerosol RF at TOA is caused by scattering aerosols such as SO4 2-, NO3 - and NH4+. Positive BC RF at TOA compensates 40~50% of the TOA cooling associated with anthropogenic aerosol.

  15. Weather Research and Forecasting Model with Vertical Nesting Capability

    Energy Science and Technology Software Center (OSTI)

    2014-08-01

    The Weather Research and Forecasting (WRF) model with vertical nesting capability is an extension of the WRF model, which is available in the public domain, from www.wrf-model.org. The new code modifies the nesting procedure, which passes lateral boundary conditions between computational domains in the WRF model. Previously, the same vertical grid was required on all domains, while the new code allows different vertical grids to be used on concurrently run domains. This new functionality improvesmore » WRF's ability to produce high-resolution simulations of the atmosphere by allowing a wider range of scales to be efficiently resolved and more accurate lateral boundary conditions to be provided through the nesting procedure.« less

  16. Enhanced performance CCD output amplifier

    DOE Patents [OSTI]

    Dunham, Mark E. (Los Alamos, NM); Morley, David W. (Santa Fe, NM)

    1996-01-01

    A low-noise FET amplifier is connected to amplify output charge from a che coupled device (CCD). The FET has its gate connected to the CCD in common source configuration for receiving the output charge signal from the CCD and output an intermediate signal at a drain of the FET. An intermediate amplifier is connected to the drain of the FET for receiving the intermediate signal and outputting a low-noise signal functionally related to the output charge signal from the CCD. The amplifier is preferably connected as a virtual ground to the FET drain. The inherent shunt capacitance of the FET is selected to be at least equal to the sum of the remaining capacitances.

  17. Implementation and assessment of turbine wake models in the Weather Research and Forecasting model for both mesoscale and large-eddy simulation

    SciTech Connect (OSTI)

    Singer, M; Mirocha, J; Lundquist, J; Cleve, J

    2010-03-03

    Flow dynamics in large wind projects are influenced by the turbines located within. The turbine wakes, regions characterized by lower wind speeds and higher levels of turbulence than the surrounding free stream flow, can extend several rotor diameters downstream, and may meander and widen with increasing distance from the turbine. Turbine wakes can also reduce the power generated by downstream turbines and accelerate fatigue and damage to turbine components. An improved understanding of wake formation and transport within wind parks is essential for maximizing power output and increasing turbine lifespan. Moreover, the influence of wakes from large wind projects on neighboring wind farms, agricultural activities, and local climate are all areas of concern that can likewise be addressed by wake modeling. This work describes the formulation and application of an actuator disk model for studying flow dynamics of both individual turbines and arrays of turbines within wind projects. The actuator disk model is implemented in the Weather Research and Forecasting (WRF) model, which is an open-source atmospheric simulation code applicable to a wide range of scales, from mesoscale to large-eddy simulation. Preliminary results demonstrate the applicability of the actuator disk model within WRF to a moderately high-resolution large-eddy simulation study of a small array of turbines.

  18. Microsoft PowerPoint - wrf_les_2007_zhu.ppt [Compatibility Mode]

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    LES Testbed Prototype: ARM LES Testbed Prototype: Multi-Scale WRF Simulations of Boundary Layer Clouds Ping Zhu Florida International University Pavlos Kollias Brookhaven National Laboratory Bruce Albrecht University of Miami What is ARM-LES-Testbed ? It is structured to provide a framework for effectively organizing and using the extensive data generated by the ARM radars and other ARM observing systems for boundary layer cloud studies and for evaluating high resolution simulations. GCM/ PAR

  19. Simulating 3-D Radiative Transfer Effects over the Sierra Nevada Mountains using WRF

    SciTech Connect (OSTI)

    Gu, Yu; Liou, K. N.; Lee, W- L.; Leung, Lai-Yung R.

    2012-10-30

    A surface solar radiation parameterization based on deviations between 3-D and conventional plane-parallel radiative transfer models has been incorporated into the Weather Research and Forecasting (WRF) model to understand the solar insolation over mountain/snow areas and to investigate the impact of the spatial and temporal distribution and variation of surface solar fluxes on land-surface processes. Using the Sierra-Nevada in the western United States as a testbed, we show that mountain effect could produce up to ?50 to + 50Wm?2 deviations in the surface solar fluxes over the mountain areas, resulting in a temperature increase of up to 1 C on the sunny side. Upward surface sensible and latent heat fluxes are modulated accordingly to compensate for the change in surface solar fluxes. Snow water equivalent and surface albedo both show decreases on the sunny side of the mountains, indicating more snowmelt and hence reduced snow albedo associated with more solar insolation due to mountain effect. Soil moisture increases on the sunny side of the mountains due to enhanced snowmelt, while decreases on the shaded side. Substantial differences are found in the morning hours from 8-10 a.m. and in the afternoon around 3-5 p.m., while differences around noon and in the early morning and late afternoon are comparatively smaller. Variation in the surface energy balance can also affect atmospheric processes, such as cloud fields, through the modulation of vertical thermal structure. Negative changes of up to ?40 gm?2 are found in the cloud water path, associated with reductions in the surface insolation over the cloud region. The day-averaged deviations in the surface solar flux are positive over the mountain areas and negative in the valleys, with a range between ?12~12Wm?2. Changes in sensible and latent heat fluxes and surface skin temperature follow the solar insolation pattern. Differences in the domain-averaged diurnal variation over the Sierras show that the mountain area receives more solar insolation during early morning and late afternoon, resulting in enhanced upward sensible heat and latent heat fluxes from the surface and a corresponding increase in surface skin temperature. During the middle of the day, however, the surface insolation and heat fluxes show negative changes, indicating a cooling effect. Hence overall, the diurnal variations of surface temperature and surface fluxes in the Sierra-Nevada are reduced through the interactions of radiative transfer and mountains. The hourly differences of the surface solar insolation in higher elevated regions, however, show smaller magnitude in negative changes during the middle of the day and possibly more solar fluxes received during the whole day.

  20. Evaluation of WRF predicted near hub-height winds and ramp events over a Pacific Northwest site with complex terrain

    SciTech Connect (OSTI)

    Yang, Qing; Berg, Larry K.; Pekour, Mikhail S.; Fast, Jerome D.; Newsom, Rob K.; Stoelinga, Mark; Finley, Cathy

    2013-08-16

    The WRF model version 3.3 is used to simulate near hub-height winds and power ramps utilizing three commonly used planetary boundary-layer (PBL) schemes: Mellor-Yamada-Janji? (MYJ), University of Washington (UW), and Yonsei University (YSU). The predicted winds have small mean biases compared with observations. Power ramps and step changes (changes within an hour) consistently show that the UW scheme performed better in predicting up ramps under stable conditions with higher prediction accuracy and capture rates. Both YSU and UW scheme show good performance predicting up- and down- ramps under unstable conditions with YSU being slightly better for ramp durations longer than an hour. MYJ is the most successful simulating down-ramps under stable conditions. The high wind speed and large shear associated with low-level jets are frequently associated with power ramps, and the biases in predicted low-level jet explain some of the shown differences in ramp predictions among different PBL schemes. Low-level jets were observed as low as ~200 m in altitude over the Columbia Basin Wind Energy Study (CBWES) site, located in an area of complex terrain. The shear, low-level peak wind speeds, as well as the height of maximum wind speed are not well predicted. Model simulations with 3 PBL schemes show the largest variability among them under stable conditions.

  1. Using Mesoscale Weather Model Output as Boundary Conditions for Atmospheric Large-Eddy Simulations and Wind-Plant Aerodynamic Simulations (Presentation)

    SciTech Connect (OSTI)

    Churchfield, M. J.; Michalakes, J.; Vanderwende, B.; Lee, S.; Sprague, M. A.; Lundquist, J. K.; Moriarty, P. J.

    2013-10-01

    Wind plant aerodynamics are directly affected by the microscale weather, which is directly influenced by the mesoscale weather. Microscale weather refers to processes that occur within the atmospheric boundary layer with the largest scales being a few hundred meters to a few kilometers depending on the atmospheric stability of the boundary layer. Mesoscale weather refers to large weather patterns, such as weather fronts, with the largest scales being hundreds of kilometers wide. Sometimes microscale simulations that capture mesoscale-driven variations (changes in wind speed and direction over time or across the spatial extent of a wind plant) are important in wind plant analysis. In this paper, we present our preliminary work in coupling a mesoscale weather model with a microscale atmospheric large-eddy simulation model. The coupling is one-way beginning with the weather model and ending with a computational fluid dynamics solver using the weather model in coarse large-eddy simulation mode as an intermediary. We simulate one hour of daytime moderately convective microscale development driven by the mesoscale data, which are applied as initial and boundary conditions to the microscale domain, at a site in Iowa. We analyze the time and distance necessary for the smallest resolvable microscales to develop.

  2. Evaluation of and Suggested Improvements to the WSM6 Microphysics in WRF- ARW Using Synthetic and Observed GOES-13 Imagery

    SciTech Connect (OSTI)

    Grasso, Lewis; Lindsey, Daniel T.; Lim, Kyo-Sun; Clark, Adam; Bikos, Dan; Dembek, Scott R.

    2014-10-01

    Synthetic satellite imagery can be employed to evaluate simulated cloud fields. Past studies have revealed that the Weather Research and Forecasting (WRF) WRF Single-Moment 6-class (WSM6) microphysics in WRF-ARW produces less upper level ice clouds within synthetic images compared to observations. Synthetic Geostationary Operational Environmental Satellite (GOES)-13 imagery at 10.7 ?m of simulated cloud fields from the 4 km National Severe Storms Laboratory (NSSL) WRF-ARW is compared to observed GOES-13 imagery. Histograms suggest that too few points contain upper level simulated ice clouds. In particular, side-by-side examples are shown of synthetic and observed convective anvils. Such images illustrate the lack of anvil cloud associated with convection produced by the NSSL WRF-ARW. A vertical profile of simulated hydrometeors suggests that too much cloud water mass may be converted into graupel mass, effectively reducing the main source of ice mass in a simulated anvil. Further, excessive accretion of ice by snow removes ice from an anvil by precipitation settling. Idealized sensitivity tests reveal that a 50% reduction of the conversion of cloud water mass to graupel and a 50% reduction of the accretion rate of ice by snow results in a significant increase in anvil ice of a simulated storm. Such results provide guidance as to which conversions could be reformulated, in a more physical manner, to increase simulated ice mass in the upper troposphere.

  3. AEO2014: Preliminary Industrial Output

    Gasoline and Diesel Fuel Update (EIA)

    Elizabeth Sendich, Analyst, and Kay Smith, Team Leader Macroeconomic Analysis Team September 26, 2013 Preliminary AEO2014 Macroeconomic Industrial Results DO NOT CITE OR DISTRIBUTE Overview * Preliminary AEO2014 industrial macroeconomic results; runs as of Sept. 23, 2013. * Macroeconomic results are inputs for a variety of NEMS modules, and cover: - Overall economy (for example GDP, interest rates, exports, etc.) - Sectoral detail (for example output of goods and services, employment, etc.) *

  4. Effect of Terrestrial and Marine Organic Aerosol on Regional and Global Climate: Model Development, Application, and Verification with Satellite Data

    SciTech Connect (OSTI)

    Meskhidze, Nicholas; Zhang, Yang; Kamykowski, Daniel

    2012-03-28

    In this DOE project the improvements to parameterization of marine primary organic matter (POM) emissions, hygroscopic properties of marine POM, marine isoprene derived secondary organic aerosol (SOA) emissions, surfactant effects, new cloud droplet activation parameterization have been implemented into Community Atmosphere Model (CAM 5.0), with a seven mode aerosol module from the Pacific Northwest National Laboratory (PNNL)???¢????????s Modal Aerosol Model (MAM7). The effects of marine aerosols derived from sea spray and ocean emitted biogenic volatile organic compounds (BVOCs) on microphysical properties of clouds were explored by conducting 10 year CAM5.0-MAM7 model simulations at a grid resolution 1.9???????°????????2.5???????° with 30 vertical layers. Model-predicted relationship between ocean physical and biological systems and the abundance of CCN in remote marine atmosphere was compared to data from the A-Train satellites (MODIS, CALIPSO, AMSR-E). Model simulations show that on average, primary and secondary organic aerosol emissions from the ocean can yield up to 20% increase in Cloud Condensation Nuclei (CCN) at 0.2% Supersaturation, and up to 5% increases in droplet number concentration of global maritime shallow clouds. Marine organics were treated as internally or externally mixed with sea salt. Changes associated with cloud properties reduced (absolute value) the model-predicted short wave cloud forcing from -1.35 Wm-2 to -0.25 Wm-2. By using different emission scenarios, and droplet activation parameterizations, this study suggests that addition of marine primary aerosols and biologically generated reactive gases makes an important difference in radiative forcing assessments. All baseline and sensitivity simulations for 2001 and 2050 using global-through-urban WRF/Chem (GU-WRF) were completed. The main objective of these simulations was to evaluate the capability of GU-WRF for an accurate representation of the global atmosphere by exploring the most accurate configuration of physics options in GWRF for global scale modeling in 2001 at a horizontal grid resolution of 1???????° x 1???????°. GU-WRF model output was evaluated using observational datasets from a variety of sources including surface based observations (NCDC and BSRN), model reanalysis (NCEP/ NCAR Reanalysis and CMAP), and remotely-sensed data (TRMM) to evaluate the ability of GU-WRF to simulate atmospheric variables at the surface as well as aloft. Explicit treatment of nanoparticles produced from new particle formation in GU-WRF/Chem-MADRID was achieved by expanding particle size sections from 8 to 12 to cover particles with the size range of 1.16 nm to 11.6 ???????µm. Simulations with two different nucleation parameterizations were conducted for August 2002 over a global domain at a 4???????º by 5???????º horizontal resolution. The results are evaluated against field measurement data from the 2002 Aerosol Nucleation and Real Time Characterization Experiment (ANARChE) in Atlanta, Georgia, as well as satellite and reanalysis data. We have also explored the relationship between ???¢????????clean marine???¢??????? aerosol optical properties and ocean surface wind speed using remotely sensed data from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on board the CALIPSO satellite and the Advanced Microwave Scanning Radiometer (AMSR-E) on board the AQUA satellite. Detailed data analyses

  5. Bayesian approaches for combining computational model output...

    Office of Scientific and Technical Information (OSTI)

    ANL Publication Date: 2011-07-25 OSTI Identifier: 1084581 Report Number(s): LA-UR-11-04315; LA-UR-11-4315 DOE Contract Number: AC52-06NA25396 Resource Type: Conference...

  6. Overload protection circuit for output driver

    DOE Patents [OSTI]

    Stewart, Roger G.

    1982-05-11

    A protection circuit for preventing excessive power dissipation in an output transistor whose conduction path is connected between a power terminal and an output terminal. The protection circuit includes means for sensing the application of a turn on signal to the output transistor and the voltage at the output terminal. When the turn on signal is maintained for a period of time greater than a given period without the voltage at the output terminal reaching a predetermined value, the protection circuit decreases the turn on signal to, and the current conduction through, the output transistor.

  7. Impact of WRF Physics and Grid Resolution on Low-level Wind Prediction: Towards the Assessment of Climate Change Impact on Future Wind Power

    SciTech Connect (OSTI)

    Chin, H S; Glascoe, L; Lundquist, J; Wharton, S

    2010-02-24

    The Weather Research and Forecast (WRF) model is used in short-range simulations to explore the sensitivity of model physics and horizontal grid resolution. We choose five events with the clear-sky conditions to study the impact of different planetary boundary layer (PBL), surface and soil-layer physics on low-level wind forecast for two wind farms; one in California (CA) and the other in Texas (TX). Short-range simulations are validated with field measurements. Results indicate that the forecast error of the CA case decreases with increasing grid resolution due to the improved representation of valley winds. Besides, the model physics configuration has a significant impact on the forecast error at this location. In contrast, the forecast error of the TX case exhibits little dependence on grid resolution and is relatively independent of physics configuration. Therefore, the occurrence frequency of lowest root mean square errors (RMSEs) at this location is used to determine an optimal model configuration for subsequent decade-scale regional climate model (RCM) simulations. In this study, we perform two sets of 20-year RCM simulations using the data from the NCAR Global Climate Model (GCM) simulations; one set models the present climate and the other simulates the future climate. These RCM simulations will be used to assess the impact of climate change on future wind energy.

  8. Assessment of multi-decadal WRF-CMAQ simulations for understanding direct aerosol effects on radiation "brightening" in the United States

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Gan, C.-M.; Pleim, J.; Mathur, R.; Hogrefe, C.; Long, C. N.; Xing, J.; Wong, D.; Gilliam, R.; Wei, C.

    2015-07-01

    Multi-decadal simulations with the coupled WRF-CMAQ model have been conducted to systematically investigate the changes in anthropogenic emissions of SO2 and NOx over the past 21 years (1990–2010) across the United States (US), their impacts on anthropogenic aerosol loading over North America, and subsequent impacts on regional radiation budgets. In particular, this study attempts to determine the consequences of the changes in tropospheric aerosol burden arising from substantial reductions in emissions of SO2 and NOx associated with control measures under the Clean Air Act (CAA) especially on trends in solar radiation. Extensive analyses conducted by Gan et al. (2014) utilizingmore » observations (e.g. SURFRAD, CASTNET, IMPROVE and ARM) over the past 16 years (1995–2010) indicate a shortwave (SW) radiation (both all-sky and clear-sky) "brightening" in the US. The relationship of the radiation brightening trend with decreases in the aerosol burden is less apparent in the western US. One of the main reasons for this is that the emission controls under the CAA were aimed primarily at reducing pollutants in areas violating national air quality standards, most of which were located in the eastern US while the relatively less populated areas in the western US were less polluted at the beginning of this study period. Comparisons of model results with observations of aerosol optical depth (AOD), aerosol concentration, and radiation demonstrate that the coupled WRF-CMAQ model is capable of replicating the trends well even through it tends to underestimate the AOD. In particular, the sulfate concentration predictions were well matched with the observations. The discrenpancies found in the clear-sky diffuse SW radiation are likely due to several factors such as potential increase of ice particles associated with increasing air traffic, the definition of "clear-sky" in the radiation retrieval methodology and aerosol semi-direct and/or indirect effects which cannot be readily isolated from the observed data.« less

  9. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    WVMinputs-outputs Permalink Gallery Sandia Labs releases wavelet variability model (WVM) Modeling, News, Photovoltaic, Solar Sandia Labs releases wavelet variability model (WVM) When a single solar photovoltaic (PV) module is in full sunlight, then is shaded by a cloud, and is back in full sunlight in a matter of seconds, a sharp dip then increase in power output will result. However, over an entire PV plant, clouds will often uncover some modules even as they cover others, [...] By Andrea

  10. A WRF Simulation of the Impact of 3-D Radiative Transfer on Surface Hydrology over the Rocky Mountains and Sierra Nevada

    SciTech Connect (OSTI)

    Liou, K. N.; Gu, Y.; Leung, Lai-Yung R.; Lee, W- L.; Fovell, R. G.

    2013-12-03

    We investigate 3-D mountains/snow effects on solar flux distributions and their impact on surface hydrology over the western United States, specifically the Rocky Mountains and Sierra Nevada. The Weather Research and Forecasting (WRF) model, applied at a 30 km grid resolution, is used in conjunction with a 3-D radiative transfer parameterization covering a time period from 1 November 2007 to 31 May 2008, during which abundant snowfall occurred. A comparison of the 3-D WRF simulation with the observed snow water equivalent (SWE) and precipitation from Snowpack Telemetry (SNOTEL) sites shows reasonable agreement in terms of spatial patterns and daily and seasonal variability, although the simulation generally has a positive precipitation bias. We show that 3-D mountain features have a profound impact on the diurnal and monthly variation of surface radiative and heat fluxes, and on the consequent elevation dependence of snowmelt and precipitation distributions. In particular, during the winter months, large deviations (3-DPP, in which PP denotes the plane-parallel approach) of the monthly mean surface solar flux are found in the morning and afternoon hours due to shading effects for elevations below 2.5 km. During spring, positive deviations shift to the earlier morning. Over mountaintops higher than 3 km, positive deviations are found throughout the day, with the largest values of 40-60Wm?2 occurring at noon during the snowmelt season of April to May. The monthly SWE deviations averaged over the entire domain show an increase in lower elevations due to reduced snowmelt, which leads to a reduction in cumulative runoff. Over higher elevation areas, positive SWE deviations are found because of increased solar radiation available at the surface. Overall, this study shows that deviations of SWE due to 3-D radiation effects range from an increase of 18%at the lowest elevation range (1.5-2 km) to a decrease of 8% at the highest elevation range (above 3 km). Since lower elevation areas occupy larger fractions of the land surface, the net effect of 3-D radiative transfer is to extend snowmelt and snowmelt-driven runoff into the warm season. Because 60-90% of water resources originate from mountains worldwide, the aforementioned differences in simulated hydrology due solely to 3-D interactions between solar radiation and mountains/snow merit further investigation in order to understand the implications of modeling mountain water resources, and these resources vulnerability to climate change and air pollution.

  11. Motor vehicle output and GDP, 1968-2007.

    SciTech Connect (OSTI)

    Santini, D. J.; Poyer, D. A.

    2008-01-01

    In this paper, we assess the performance of the BEA series 'value of motor vehicle output' as an indicator of the business cycle over the period 1968-2007. We statistically assess the causal relationship between real motor vehicle output (RMVO) and real gross domestic product (RGDP). This is accomplished by standard estimation and statistical methods used to assess vector autoregressive models. This assessment represents the initial results of a more encompassing research project, the intent of which is to determine the dynamic interaction of the transport sector with the overall economy. It's a start to a more comprehensive assessment of how transport and economic activity interrelate.

  12. PNNL-Weather Research and Forecasting (WRF)-Chem Modeling in...

    Open Energy Info (EERE)

    San Francisco, CA, A41F-01. Fast JD, JC Doran, JC Barnard, S Springs ton, L Klein man, L Emmons, C Wiedinmyer. 2007. "Predictions of aerosols downwind of Mexico City using a...

  13. High Energy Output Marx Generator Design

    SciTech Connect (OSTI)

    Monty Lehmann

    2011-07-01

    High Energy Output Marx Generator Design a design of a six stage Marx generator that has a unipolar pulse waveform of 200 kA in a 50500 microsecond waveform is presented. The difficulties encountered in designing the components to withstand the temperatures and pressures generated during the output pulse are discussed. The unique methods and materials used to successfully overcome these problems are given. The steps necessary to increase the current output of this Marx generator design to the meg-ampere region or higher are specified.

  14. Boosting America's Hydropower Output | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Boosting America's Hydropower Output Boosting America's Hydropower Output October 9, 2012 - 2:10pm Addthis The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. City of Boulder employees celebrate the completion of the Boulder Canyon Hydroelectric Modernization project. | Photo courtesy of the city of

  15. PV output smoothing with energy storage.

    SciTech Connect (OSTI)

    Ellis, Abraham; Schoenwald, David Alan

    2012-03-01

    This report describes an algorithm, implemented in Matlab/Simulink, designed to reduce the variability of photovoltaic (PV) power output by using a battery. The purpose of the battery is to add power to the PV output (or subtract) to smooth out the high frequency components of the PV power that that occur during periods with transient cloud shadows on the PV array. The control system is challenged with the task of reducing short-term PV output variability while avoiding overworking the battery both in terms of capacity and ramp capability. The algorithm proposed by Sandia is purposely very simple to facilitate implementation in a real-time controller. The control structure has two additional inputs to which the battery can respond. For example, the battery could respond to PV variability, load variability or area control error (ACE) or a combination of the three.

  16. Porous radiant burners having increased radiant output

    DOE Patents [OSTI]

    Tong, Timothy W. (Tempe, AZ); Sathe, Sanjeev B. (Tempe, AZ); Peck, Robert E. (Tempe, AZ)

    1990-01-01

    Means and methods for enhancing the output of radiant energy from a porous radiant burner by minimizing the scattering and increasing the adsorption, and thus emission of such energy by the use of randomly dispersed ceramic fibers of sub-micron diameter in the fabrication of ceramic fiber matrix burners and for use therein.

  17. Multiple output timing and trigger generator

    SciTech Connect (OSTI)

    Wheat, Robert M.; Dale, Gregory E

    2009-01-01

    In support of the development of a multiple stage pulse modulator at the Los Alamos National Laboratory, we have developed a first generation, multiple output timing and trigger generator. Exploiting Commercial Off The Shelf (COTS) Micro Controller Units (MCU's), the timing and trigger generator provides 32 independent outputs with a timing resolution of about 500 ns. The timing and trigger generator system is comprised of two MCU boards and a single PC. One of the MCU boards performs the functions of the timing and signal generation (the timing controller) while the second MCU board accepts commands from the PC and provides the timing instructions to the timing controller. The PC provides the user interface for adjusting the on and off timing for each of the output signals. This system provides 32 output or timing signals which can be pre-programmed to be in an on or off state for each of 64 time steps. The width or duration of each of the 64 time steps is programmable from 2 {micro}s to 2.5 ms with a minimum time resolution of 500 ns. The repetition rate of the programmed pulse train is only limited by the time duration of the programmed event. This paper describes the design and function of the timing and trigger generator system and software including test results and measurements.

  18. Neutron light output and detector efficiency (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Neutron light output and detector efficiency Citation Details In-Document Search Title: Neutron light output and detector efficiency You are accessing a document from the...

  19. Error estimates for fission neutron outputs (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Error estimates for fission neutron outputs Citation Details In-Document Search Title: Error estimates for fission neutron outputs You are accessing a document from the...

  20. Low Capital Photovoltaic Panel Electrical Output-Booster System...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Low Capital Photovoltaic Panel Electrical Output-Booster System Low Capital Photovoltaic Panel Electrical Output-Booster System This presentation summarizes the information given ...

  1. InMAP: a new model for air pollution interventions

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tessum, C. W.; Hill, J. D.; Marshall, J. D.

    2015-10-29

    Mechanistic air pollution models are essential tools in air quality management. Widespread use of such models is hindered, however, by the extensive expertise or computational resources needed to run most models. Here, we present InMAP (Intervention Model for Air Pollution), which offers an alternative to comprehensive air quality models for estimating the air pollution health impacts of emission reductions and other potential interventions. InMAP estimates annual-average changes in primary and secondary fine particle (PM2.5) concentrations the air pollution outcome generally causing the largest monetized health damages attributable to annual changes in precursor emissions. InMAP leverages pre-processed physical andmorechemical information from the output of a state-of-the-science chemical transport model (WRF-Chem) within an Eulerian modeling framework, to perform simulations that are several orders of magnitude less computationally intensive than comprehensive model simulations. InMAP uses a variable resolution grid that focuses on human exposures by employing higher spatial resolution in urban areas and lower spatial resolution in rural and remote locations and in the upper atmosphere; and by directly calculating steady-state, annual average concentrations. In comparisons run here, InMAP recreates WRF-Chem predictions of changes in total PM2.5 concentrations with population-weighted mean fractional error (MFE) and bias (MFB) R2 ~ 0.99. Among individual PM2.5 species, the best predictive performance is for primary PM2.5 (MFE: 16 %; MFB: 13 %) and the worst predictive performance is for particulate nitrate (MFE: 119 %; MFB: 106 %). Potential uses of InMAP include studying exposure, health, and environmental justice impacts of potential shifts in emissions for annual-average PM2.5. Features planned for future model releases include a larger spatial domain, more temporal information, and the ability to predict ground-level ozone (O3) concentrations. The InMAP model source code and input data are freely available online.less

  2. ASSIMILATION OF DOPPLER RADAR DATA INTO NUMERICAL WEATHER MODELS

    SciTech Connect (OSTI)

    Chiswell, S.; Buckley, R.

    2009-01-15

    During the year 2008, the United States National Weather Service (NWS) completed an eight fold increase in sampling capability for weather radars to 250 m resolution. This increase is expected to improve warning lead times by detecting small scale features sooner with increased reliability; however, current NWS operational model domains utilize grid spacing an order of magnitude larger than the radar data resolution, and therefore the added resolution of radar data is not fully exploited. The assimilation of radar reflectivity and velocity data into high resolution numerical weather model forecasts where grid spacing is comparable to the radar data resolution was investigated under a Laboratory Directed Research and Development (LDRD) 'quick hit' grant to determine the impact of improved data resolution on model predictions with specific initial proof of concept application to daily Savannah River Site operations and emergency response. Development of software to process NWS radar reflectivity and radial velocity data was undertaken for assimilation of observations into numerical models. Data values within the radar data volume undergo automated quality control (QC) analysis routines developed in support of this project to eliminate empty/missing data points, decrease anomalous propagation values, and determine error thresholds by utilizing the calculated variances among data values. The Weather Research and Forecasting model (WRF) three dimensional variational data assimilation package (WRF-3DVAR) was used to incorporate the QC'ed radar data into input and boundary conditions. The lack of observational data in the vicinity of SRS available to NWS operational models signifies an important data void where radar observations can provide significant input. These observations greatly enhance the knowledge of storm structures and the environmental conditions which influence their development. As the increase in computational power and availability has made higher resolution real-time model simulations possible, the need to obtain observations to both initialize numerical models and verify their output has become increasingly important. The assimilation of high resolution radar observations therefore provides a vital component in the development and utility of numerical model forecasts for both weather forecasting and contaminant transport, including future opportunities to improve wet deposition computations explicitly.

  3. Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Smallwood, David O.

    2007-01-01

    A linear structure is excited at multiple points with a stationary normal random process. The response of the structure is measured at multiple outputs. If the autospectral densities of the inputs are specified, the phase relationships between the inputs are derived that will minimize or maximize the trace of the autospectral density matrix of the outputs. If the autospectral densities of the outputs are specified, the phase relationships between the outputs that will minimize or maximize the trace of the input autospectral density matrix are derived. It is shown that other phase relationships and ordinary coherence less than one willmore » result in a trace intermediate between these extremes. Least favorable response and some classes of critical response are special cases of the development. It is shown that the derivation for stationary random waveforms can also be applied to nonstationary random, transients, and deterministic waveforms.« less

  4. Off-set stabilizer for comparator output

    DOE Patents [OSTI]

    Lunsford, James S. (Los Alamos, NM)

    1991-01-01

    A stabilized off-set voltage is input as the reference voltage to a comparator. In application to a time-interval meter, the comparator output generates a timing interval which is independent of drift in the initial voltage across the timing capacitor. A precision resistor and operational amplifier charge a capacitor to a voltage which is precisely offset from the initial voltage. The capacitance of the reference capacitor is selected so that substantially no voltage drop is obtained in the reference voltage applied to the comparator during the interval to be measured.

  5. World crude output overcomes Persian Gulf disruption

    SciTech Connect (OSTI)

    Not Available

    1992-02-01

    Several OPEC producers made good on their promises to replace 2.7 MMbpd of oil exports that vanished from the world market after Iraq took over Kuwait. Even more incredibly, they accomplished this while a breathtaking 1.2- MMbopd reduction in Soviet output took place during the course of 1991. After Abu Dhabi, Indonesia, Iran, Libya, Nigeria, Saudi Arabia and Venezuela turned the taps wide open, their combined output rose 2.95 MMbopd. Put together with a 282,000-bopd increase by Norway and contributions from smaller producers, this enabled world oil production to remain within 400,000 bopd of its 1990 level. The 60.5-MMbopd average was off by just 0.7%. This paper reports that improvement took place in five of eight regions. Largest increases were in Western Europe and Africa. Greatest reductions occurred in Eastern Europe and the Middle East. Fifteen nations produced 1 MMbopd or more last year, compared with 17 during 1990.

  6. Room-return scattering in fission neutron outputs (Conference...

    Office of Scientific and Technical Information (OSTI)

    Room-return scattering in fission neutron outputs Citation Details In-Document Search Title: Room-return scattering in fission neutron outputs You are accessing a document from...

  7. Method and apparatus for varying accelerator beam output energy

    DOE Patents [OSTI]

    Young, Lloyd M.

    1998-01-01

    A coupled cavity accelerator (CCA) accelerates a charged particle beam with rf energy from a rf source. An input accelerating cavity receives the charged particle beam and an output accelerating cavity outputs the charged particle beam at an increased energy. Intermediate accelerating cavities connect the input and the output accelerating cavities to accelerate the charged particle beam. A plurality of tunable coupling cavities are arranged so that each one of the tunable coupling cavities respectively connect an adjacent pair of the input, output, and intermediate accelerating cavities to transfer the rf energy along the accelerating cavities. An output tunable coupling cavity can be detuned to variably change the phase of the rf energy reflected from the output coupling cavity so that regions of the accelerator can be selectively turned off when one of the intermediate tunable coupling cavities is also detuned.

  8. Halbach array generator/motor having mechanically regulated output voltage and mechanical power output

    DOE Patents [OSTI]

    Post, Richard F.

    2005-06-14

    A motor/generator has its stationary portion, i.e., the stator, positioned concentrically within its rotatable element, i.e., the rotor, along the axis of rotation of the rotor. The rotor includes a Halbach array of magnets. The voltage and power outputs are regulated by varying the radial gap in between the stator windings and the rotating Halbach array. The gap is varied by extensible and retractable supports attached to the stator windings that can move the windings in a radial direction.

  9. Output-Based Error Estimation and Adaptation for Uncertainty...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Output-Based Error Estimation and Adaptation for Uncertainty Quantification Isaac M. Asher and Krzysztof J. Fidkowski University of Michigan US National Congress on Computational...

  10. Compact waveguide power divider with multiple isolated outputs

    DOE Patents [OSTI]

    Moeller, Charles P. (Del Mar, CA)

    1987-01-01

    A waveguide power divider (10) for splitting electromagnetic microwave power and directionally coupling the divided power includes an input waveguide (21) and reduced height output waveguides (23) interconnected by axial slots (22) and matched loads (25) and (26) positioned at the unused ends of input and output guides (21) and (23) respectively. The axial slots are of a length such that the wave in the input waveguide (21) is directionally coupled to the output waveguides (23). The widths of input guide (21) and output guides (23) are equal and the width of axial slots (22) is one half of the width of the input guide (21).

  11. AEO2016 Preliminary Industrial Output Results

    Gasoline and Diesel Fuel Update (EIA)

    1: Preliminary macroeconomic results For Macro-Industrial Working Group December 3, 2015 | Washington, DC By Kay Smith, Macro Team Leader, Elizabeth Sendich, Russ Tarver, and Vipin Arora DO NOT CITE OR DISTRIBUTE Macro Team's AEO2016 Briefing Plans * Review incorporation of completed AEO macroeconomic initiatives - Revised commercial floorspace model using indices rather than levels so that EIA customers won't have to incur extra data costs to compensate Dodge - Enhancements of the industrial

  12. Using Economic Input/Output Tables to Predict a Countrys Nuclear Status

    SciTech Connect (OSTI)

    Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

    2010-07-15

    Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nations efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a countrys or regions economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industrys output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.

  13. Device for frequency modulation of a laser output spectrum

    DOE Patents [OSTI]

    Beene, J.R.; Bemis, C.E. Jr.

    1984-07-17

    A device is provided for fast frequency modulating the output spectrum of multimode lasers and single frequency lasers that are not actively stabilized. A piezoelectric transducer attached to a laser cavity mirror is driven in an unconventional manner to excite resonance vibration of the tranducer to rapidly, cyclicly change the laser cavity length. The result is a cyclic sweeping of the output wavelength sufficient to fill the gaps in the laser output frequency spectrum. When a laser is used to excite atoms or molecules, complete absorption line coverage is made possible.

  14. Device for frequency modulation of a laser output spectrum

    DOE Patents [OSTI]

    Beene, James R.; Bemis, Jr., Curtis E.

    1986-01-01

    A device is provided for fast frequency modulating the output spectrum of multimode lasers and single frequency lasers that are not actively stabilized. A piezoelectric transducer attached to a laser cavity mirror is driven in an unconventional manner to excite resonance vibration of the transducer to rapidly, cyclicly change the laser cavity length. The result is a cyclic sweeping of the output wavelength sufficient to fill the gaps in the laser output frequency spectrum. When such a laser is used to excite atoms or molecules, complete absorption line coverage is made possible.

  15. Dual output acoustic wave sensor for molecular identification

    DOE Patents [OSTI]

    Frye, Gregory C. (Cedar Crest, NM); Martin, Stephen J. (Albuquerque, NM)

    1991-01-01

    A method of identification and quantification of absorbed chemical species by measuring changes in both the velocity and the attenuation of an acoustic wave traveling through a thin film into which the chemical species is sorbed. The dual output response provides two independent sensor responses from a single sensing device thereby providing twice as much information as a single output sensor. This dual output technique and analysis allows a single sensor to provide both the concentration and the identity of a chemical species or permits the number of sensors required for mixtures to be reduced by a factor of two.

  16. Multiple scattering effects in fission neutron outputs (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Conference: Multiple scattering effects in fission neutron outputs Citation Details In-Document Search Title: Multiple scattering effects in fission neutron outputs Authors: Taddeucci, Terry N [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2011-02-24 OSTI Identifier: 1053153 Report Number(s): LA-UR-11-01326; LA-UR-11-1326 DOE Contract Number: AC52-06NA25396 Resource Type: Conference Resource Relation: Conference: Fission fprogram Review, ;

  17. Predicted Radiation Output from Several Kilograms of Plutonium Oxide

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Predicted Radiation Output from Several Kilograms of Plutonium Oxide Citation Details In-Document Search Title: Predicted Radiation Output from Several Kilograms of Plutonium Oxide Authors: Shores, Erik Frederick [1] ; Solomon, Clell Jeffrey Jr. [1] ; Myers, Steven Charles [1] ; Temple, Brian Allen [1] ; Felsher, Paul D. [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2015-01-20 OSTI Identifier: 1168712 Report Number(s):

  18. PROJECT PROFILE: Advanced Thermal Management for Higher Module Power Output

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy Advanced Thermal Management for Higher Module Power Output PROJECT PROFILE: Advanced Thermal Management for Higher Module Power Output Funding Opportunity: SuNLaMP SunShot Subprogram: Photovoltaics Location: Sandia National Laboratories, Albuquerque, NM Amount Awarded: $2,816,911 Higher temperatures of photovoltaic (PV) modules are causing lower than projected module performance. For example, a free-standing Si PV module has 0.4% decrease in efficiency per degree

  19. Low Capital Photovoltaic Panel Electrical Output-Booster System |

    Office of Environmental Management (EM)

    Department of Energy Low Capital Photovoltaic Panel Electrical Output-Booster System Low Capital Photovoltaic Panel Electrical Output-Booster System This presentation summarizes the information given during the DOE SunShot Grand Challenge: Summit and Technology Forum, June 13-14, 2012. PDF icon ssgrandchallenge_finance_schrag.pdf More Documents & Publications The SunShot Vision Study SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE) 2014

  20. Development of a 402.5 MHz 140 kW Inductive Output Tube

    SciTech Connect (OSTI)

    R. Lawrence Ives; Michael Read, Robert Jackson

    2012-05-09

    This report contains the results of Phase I of an SBIR to develop a Pulsed Inductive Output Tube (IOT) with 140 kW at 400 MHz for powering H-proton beams. A number of sources, including single beam and multiple beam klystrons, can provide this power, but the IOT provides higher efficiency. Efficiencies exceeding 70% are routinely achieved. The gain is typically limited to approximately 24 dB; however, the availability of highly efficient, solid state drivers reduces the significance of this limitation, particularly at lower frequencies. This program initially focused on developing a 402 MHz IOT; however, the DOE requirement for this device was terminated during the program. The SBIR effort was refocused on improving the IOT design codes to more accurately simulate the time dependent behavior of the input cavity, electron gun, output cavity, and collector. Significant improvement was achieved in modeling capability and simulation accuracy.

  1. Light-operated proximity detector with linear output

    DOE Patents [OSTI]

    Simpson, M.L.; McNeilly, D.R.

    1984-01-01

    A light-operated proximity detector is described in which reflected light intensity from a surface whose proximity to the detector is to be gauged is translated directly into a signal proportional to the distance of the detector from the surface. A phototransistor is used to sense the reflected light and is connected in a detector circuit which maintains the phtotransistor in a saturated state. A negative feedback arrangement using an operational amplifier connected between the collector and emitter of the transistor provides an output at the output of the amplifier which is linearly proportional to the proximity of the surface to the detector containing the transistor. This direct proportional conversion is true even though the light intensity is varying with the proximity in proportion to the square of the inverse of the distance. The detector may be used for measuring the distance remotely from any target surface.

  2. Light-operated proximity detector with linear output

    DOE Patents [OSTI]

    Simpson, Marc L. (Harriman, TN); McNeilly, David R. (Maryville, TN)

    1985-01-01

    A light-operated proximity detector is described in which reflected light intensity from a surface whose proximity to the detector is to be gauged is translated directly into a signal proportional to the distance of the detector from the surface. A phototransistor is used to sense the reflected light and is connected in a detector circuit which maintains the phototransistor in a saturated state. A negative feedback arrangement using an operational amplifier connected between the collector and emitter of the transistor provides an output at the output of the amplifier which is linearly proportional to the proximity of the surface to the detector containing the transistor. This direct proportional conversion is true even though the light intensity is varying with the proximity in proportion to the square of the inverse of the distance. The detector may be used for measuring the distance remotely from any target surface.

  3. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S.

    1981-01-01

    A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

  4. Quantum Dot Materials Can Reduce Heat, Boost Electrical Output - News

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Releases | NREL Quantum Dot Materials Can Reduce Heat, Boost Electrical Output May 23, 2005 Golden, Colo. - Researchers at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) have shown that nanotechnology may greatly increase the amount of electricity produced by solar cells. In a paper published in a May issue of the American Chemical Society's Nano Letters journal, an NREL team found that tiny "nanocrystals," also known as "quantum dots,"

  5. High natural gas output and inventories contribute to lower prices

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    High natural gas output and inventories contribute to lower prices High natural gas production and ample gas inventories are expected to keep natural gas prices relatively low for the rest of 2015. In its new monthly forecast, the U.S. Energy Information Administration says that while expected production growth is slowing from last year's torrid pace, domestic natural gas production in 2015 is still expected to be almost 6 percent above the 2014 level. Higher production has pushed U.S. natural

  6. Development of a high-output dual-fuel engine

    SciTech Connect (OSTI)

    Danyluk, P.R. . Fairbanks Morse Engineering Division)

    1993-10-01

    This paper presents the results of a new dual-fuel engine development program. The engine is the largest commercially available in terms of power output (650 hp/cyl) and features very low emissions (1 g/hp-hr NO[sub x]) and excellent fuel consumption (43 percent thermal efficiency). A two-cylinder turbocharged prototype was designed and built for the initial development. Results from testing on 18-cylinder production versions are also reported.

  7. Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic Using a High-Resolution Regional Arctic Climate Model

    SciTech Connect (OSTI)

    Cassano, John

    2013-06-30

    The primary research task completed for this project was the development of the Regional Arctic Climate Model (RACM). This involved coupling existing atmosphere, ocean, sea ice, and land models using the National Center for Atmospheric Research (NCAR) Community Climate System Model (CCSM) coupler (CPL7). RACM is based on the Weather Research and Forecasting (WRF) atmospheric model, the Parallel Ocean Program (POP) ocean model, the CICE sea ice model, and the Variable Infiltration Capacity (VIC) land model. A secondary research task for this project was testing and evaluation of WRF for climate-scale simulations on the large pan-Arctic model domain used in RACM. This involved identification of a preferred set of model physical parameterizations for use in our coupled RACM simulations and documenting any atmospheric biases present in RACM.

  8. Development of output user interface software to support analysis

    SciTech Connect (OSTI)

    Wahanani, Nursinta Adi Natsir, Khairina Hartini, Entin

    2014-09-30

    Data processing software packages such as VSOP and MCNPX are softwares that has been scientifically proven and complete. The result of VSOP and MCNPX are huge and complex text files. In the analyze process, user need additional processing like Microsoft Excel to show informative result. This research develop an user interface software for output of VSOP and MCNPX. VSOP program output is used to support neutronic analysis and MCNPX program output is used to support burn-up analysis. Software development using iterative development methods which allow for revision and addition of features according to user needs. Processing time with this software 500 times faster than with conventional methods using Microsoft Excel. PYTHON is used as a programming language, because Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. Values that support neutronic analysis are k-eff, burn-up and mass Pu{sup 239} and Pu{sup 241}. Burn-up analysis used the mass inventory values of actinide (Thorium, Plutonium, Neptunium and Uranium). Values are visualized in graphical shape to support analysis.

  9. Ring laser having an output at a single frequency

    DOE Patents [OSTI]

    Hackell, Lloyd A.

    1991-01-01

    A ring laser is disclosed that produces a single frequency of laser radiation in either the pulsed mode of operation or the continuous waveform (cw) mode of operation. The laser comprises a ring laser in a bowtie configuration, a birefringent gain material such as Nd:YLF, an improved optical diode that supports laser oscillation having a desired direction of travel and linear polarization, and a Q-switch. An output coupler (mirror) having a high reflectivity, such as 94%, is disclosed. Also disclosed is a self-seeded method of operation in which the laser can provide a pulse or a series of pulses of high power laser radiation at a consistent single frequency with a high degree of amplitude stability and temporal stability. In operation, the laser is operated in continuous waveform (cw) at a low power output with the Q-switch introducing a loss into the resonating cavity. Pumping is continued at a high level, causing the gain material to store energy. When a pulse is desired, the Q-switch is actuated to substantially reduce the losses so that a pulse can build up based on the low level cw oscillation. The pulse quickly builds, using the stored energy in the gain medium to provide a high power output pulse. The process may be repeated to provide a series of high power pulses of a consistent single frequency.

  10. Simulation of one-minute power output from utility-scale photovoltaic generation systems.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

    2011-08-01

    We present an approach to simulate time-synchronized, one-minute power output from large photovoltaic (PV) generation plants in locations where only hourly irradiance estimates are available from satellite sources. The approach uses one-minute irradiance measurements from ground sensors in a climatically and geographically similar area. Irradiance is translated to power using the Sandia Array Performance Model. Power output is generated for 2007 in southern Nevada are being used for a Solar PV Grid Integration Study to estimate the integration costs associated with various utility-scale PV generation levels. Plant designs considered include both fixed-tilt thin-film, and single-axis-tracked polycrystalline Si systems ranging in size from 5 to 300 MW{sub AC}. Simulated power output profiles at one-minute intervals were generated for five scenarios defined by total PV capacity (149.5 MW, 222 WM, 292 MW, 492 MW, and 892 MW) each comprising as many as 10 geographically separated PV plants.

  11. Predicting Aerosol Direct Radiative Forcing over Mexico using WRF-chem: It Looks Right, But Its Wrong

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aerosol (and Cloud) Modeling Testbed: A Community Tool to Objectively Evaluate Aerosol Process Modules Jerome Fast, William Gustafson Jr., Elaine Chapman, Richard Easter, Jeremy Rishel ARM Science Team Meeting, Louisville KY, March 31, 2009 8 7 6 5 4 3 8 7 6 5 4 3 What is the Problem? Range of Regional Model Predictions observed Range of Global Model Predictions AOD from OC low high Kinne et al. 2006, ACP McKeen et al. 2007, JGR * Current aerosol modeling paradigm is haphazard and slow 

  12. Calculation of output characteristics of semiconductor quantum-well lasers with account for both electrons and holes

    SciTech Connect (OSTI)

    Sokolova, Z N; Tarasov, I S; Asryan, L V

    2014-09-30

    Using an extended theoretical model, which includes the rate equations for both electrons and holes, we have studied the output characteristics of semiconductor quantum-well lasers. We have found non-trivial dependences of electron and hole concentrations in the waveguide region of the laser on the capture velocities of both types of carriers from the waveguide region into the quantum well. We have obtained the dependences of the internal differential quantum efficiency and optical output power of the laser on the capture velocities of electrons and holes. An increase in the capture velocities has been shown to result in suppression of parasitic recombination in the waveguide region and therefore in a substantial increase in the quantum efficiency and output power. (lasers)

  13. Factors Affecting Power Output by Photovoltaic Cells Lesson

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Suzanne McClung Unit Title: Option C: Energy Subject: Chemistry Lesson Title: Factors Affecting Power Output by Photovoltaic Cells Grade Level(s): IB 2 (Senior - 3 rd year of chemistry) Lesson Length: 2-90 minute blocks with 30 minutes for wrap up in a 3 rd class period Date(s): * Learning Goals o Students will make observations of voltage and current in a solar panel system o Students will calculate power of a solar panel system o Students will determine the effect of a factor on the power

  14. Review of Wind Energy Forecasting Methods for Modeling Ramping Events

    SciTech Connect (OSTI)

    Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

    2011-03-28

    Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

  15. Method and system for managing an electrical output of a turbogenerator

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean (Bettendorf, IA); Vuk, Carl Thomas (Denver, IA)

    2010-08-24

    The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

  16. Method and system for managing an electrical output of a turbogenerator

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean (Bettendorf, IA); Vuk, Carl Thomas (Denver, IA)

    2009-06-02

    The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

  17. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    SciTech Connect (OSTI)

    Wang, Feng; Huisman, Jaco; Stevels, Ab; Baldé, Cornelis Peter

    2013-11-15

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e-waste estimation studies.

  18. High lumen compact fluorescents boost light output in new fixtures

    SciTech Connect (OSTI)

    1992-12-31

    Some compact fluorescent lamps aren`t so compact. General Electric (GE), OSRAM, and Philips have been expanding offerings in longer, more powerful, hard wired CFLs that generate enough light to serve applications once limited to conventional fluorescents and metal halide systems. All three of these manufacturers have for some time offered 18- to 40-watt high-output CFLs, which use a fluorescent tube doubled back on itself to produce a lot of light in a compact source. Now GE has introduced an even larger, more powerful 50-watt unit, and OSRAM is soon to follow suit with a 55-watt lamp. These new entries to the field of turbocharged CFLs can provide general lighting at ceiling heights of 12 feet or more as well as indirect lighting, floodlighting, and wall washing. They are such a concentrated source of light that they can provide the desired illumination using fewer lamps and fixtures than would be needed with competing sources.

  19. Output-Based Regulations: A Handbook for Air Regulators (U.S...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 The U.S....

  20. PV Reliability & Performance Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... PV Reliability & Performance Model HomeStationary PowerEnergy Conversion ... such as module output degradation over time or disruptions such as electrical grid outages. ...

  1. Dosimetric characterization and output verification for conical brachytherapy surface applicators. Part I. Electronic brachytherapy source

    SciTech Connect (OSTI)

    Fulkerson, Regina K. Micka, John A.; DeWerd, Larry A.

    2014-02-15

    Purpose: Historically, treatment of malignant surface lesions has been achieved with linear accelerator based electron beams or superficial x-ray beams. Recent developments in the field of brachytherapy now allow for the treatment of surface lesions with specialized conical applicators placed directly on the lesion. Applicators are available for use with high dose rate (HDR){sup 192}Ir sources, as well as electronic brachytherapy sources. Part I of this paper will discuss the applicators used with electronic brachytherapy sources; Part II will discuss those used with HDR {sup 192}Ir sources. Although the use of these applicators has gained in popularity, the dosimetric characteristics including depth dose and surface dose distributions have not been independently verified. Additionally, there is no recognized method of output verification for quality assurance procedures with applicators like these. Existing dosimetry protocols available from the AAPM bookend the cross-over characteristics of a traditional brachytherapy source (as described by Task Group 43) being implemented as a low-energy superficial x-ray beam (as described by Task Group 61) as observed with the surface applicators of interest. Methods: This work aims to create a cohesive method of output verification that can be used to determine the dose at the treatment surface as part of a quality assurance/commissioning process for surface applicators used with HDR electronic brachytherapy sources (Part I) and{sup 192}Ir sources (Part II). Air-kerma rate measurements for the electronic brachytherapy sources were completed with an Attix Free-Air Chamber, as well as several models of small-volume ionization chambers to obtain an air-kerma rate at the treatment surface for each applicator. Correction factors were calculated using MCNP5 and EGSnrc Monte Carlo codes in order to determine an applicator-specific absorbed dose to water at the treatment surface from the measured air-kerma rate. Additionally, relative dose measurements of the surface dose distributions and characteristic depth dose curves were completed in-phantom. Results: Theoretical dose distributions and depth dose curves were generated for each applicator and agreed well with the measured values. A method of output verification was created that allows users to determine the applicator-specific dose to water at the treatment surface based on a measured air-kerma rate. Conclusions: The novel output verification methods described in this work will reduce uncertainties in dose delivery for treatments with these kinds of surface applicators, ultimately improving patient care.

  2. Fail safe controllable output improved version of the Electromechanical battery

    DOE Patents [OSTI]

    Post, Richard F. (Walnut Creek, CA)

    1999-01-01

    Mechanical means are provided to control the voltages induced in the windings of a generator/motor. In one embodiment, a lever is used to withdraw or insert the entire stator windings from the cavity where the rotating field exists. In another embodiment, voltage control and/or switching off of the output is achievable with a variable-coupling generator/motor. A stator is made up of two concentric layers of windings, with a larger number of turns on the inner layer of windings than the outer layer of windings. The windings are to be connected in series electrically, that is, their voltages add vectorially. The mechanical arrangement is such that one or both of the windings can be rotated with respect to the other winding about their common central axis. Another improved design for the stator assembly of electromechanical batteries provides knife switch contacts that are in electrical contact with the stator windings. The operation of this embodiment depends on the fact that an abnormally large torque will be exerted on the stator structure during any short-circuit condition.

  3. Fail safe controllable output improved version of the electromechanical battery

    DOE Patents [OSTI]

    Post, R.F.

    1999-01-19

    Mechanical means are provided to control the voltages induced in the windings of a generator/motor. In one embodiment, a lever is used to withdraw or insert the entire stator windings from the cavity where the rotating field exists. In another embodiment, voltage control and/or switching off of the output is achievable with a variable-coupling generator/motor. A stator is made up of two concentric layers of windings, with a larger number of turns on the inner layer of windings than the outer layer of windings. The windings are to be connected in series electrically, that is, their voltages add vectorially. The mechanical arrangement is such that one or both of the windings can be rotated with respect to the other winding about their common central axis. Another improved design for the stator assembly of electromechanical batteries provides knife switch contacts that are in electrical contact with the stator windings. The operation of this embodiment depends on the fact that an abnormally large torque will be exerted on the stator structure during any short-circuit condition. 4 figs.

  4. A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1. Wind and Turbulence

    SciTech Connect (OSTI)

    Nelson, Matthew A.; Brown, Michael J.; Halverson, Scot A.; Bieringer, Paul E.; Annunzio, Andrew; Bieberbach, George; Meech, Scott

    2015-09-25

    We found that numerical-weather-prediction models are often used to supply the mean wind and turbulence fields for atmospheric transport and dispersion plume models as they provide dense horizontally- and vertically-resolved geographic coverage in comparison to typically sparse monitoring networks. Here, the Weather Research and Forecasting (WRF) model was run over the month-long period of the Joint Urban 2003 field campaign conducted in Oklahoma City and the simulated fields important to transport and dispersion models were compared to measurements from a number of sodars, tower-based sonic anemometers, and balloon soundings located in the greater metropolitan area. Time histories of computed wind speed, wind direction, turbulent kinetic energy (e), friction velocity (u* ), and reciprocal Obukhov length (1 / L) were compared to measurements over the 1-month field campaign. Vertical profiles of wind speed, potential temperature (? ), and e were compared during short intensive operating periods. The WRF model was typically able to replicate the measured diurnal variation of the wind fields, but with an average absolute wind direction and speed difference of 35 and 1.9 m s-1 , respectively. Then, using the Mellor-Yamada-Janjic (MYJ) surface-layer scheme, the WRF model was found to generally underpredict surface-layer TKE but overpredict u* that was observed above a suburban region of Oklahoma City. The TKE-threshold method used by the WRF models MYJ surface-layer scheme to compute the boundary-layer height (h) consistently overestimated h derived from a ? gradient method whether using observed or modelled ? profiles.

  5. Method for optimizing the mechanical output of a fluid pressure free piston engine

    SciTech Connect (OSTI)

    Dibrell, E.W.; Schaich, W.A.

    1988-07-05

    The method is described for minimizing rotational speed variations of a centrifugal piston expander engine comprising the steps of: (1) supplying a pressured gas to a centrifugal piston expander engine having a rotatable output element and a discharge conduit for cooled exhaust gas; (2) expanding and cooling the pressured gas in the centrifugal piston expander engine to produce cyclically varying oppositely directed, positive and negative torques on the rotatable output shaft; (3) driving a rotary load in the positive torque direction by the rotatable output element through one rotatable element of a unidirectional clutch having two rotating elements relatively movable in only the negative torque direction; and (4) connecting a battery operated motor-generator unit to the rotatable output shaft to supplement the rotary speed of the output shaft during periods of negative torque output by the centrifugal piston expander engine and to recharge the battery during periods of maximum positive torque output of the centrifugal expander engine.

  6. Updated Eastern Interconnect Wind Power Output and Forecasts for ERGIS: July 2012

    SciTech Connect (OSTI)

    Pennock, K.

    2012-10-01

    AWS Truepower, LLC (AWST) was retained by the National Renewable Energy Laboratory (NREL) to update wind resource, plant output, and wind power forecasts originally produced by the Eastern Wind Integration and Transmission Study (EWITS). The new data set was to incorporate AWST's updated 200-m wind speed map, additional tall towers that were not included in the original study, and new turbine power curves. Additionally, a primary objective of this new study was to employ new data synthesis techniques developed for the PJM Renewable Integration Study (PRIS) to eliminate diurnal discontinuities resulting from the assimilation of observations into mesoscale model runs. The updated data set covers the same geographic area, 10-minute time resolution, and 2004?2006 study period for the same onshore and offshore (Great Lakes and Atlantic coast) sites as the original EWITS data set.

  7. New runners to boost peak output at Niagara Falls

    SciTech Connect (OSTI)

    Reason, J.

    1990-01-01

    Retrofitted Francis turbines will improve the value of power generated from Niagara Falls by increasing the peak output of the hydroturbine units at the Robert Moses hydroelectric plant. The computer-designed runners are expected to add 330 MW to the peak capacity of the 28-yr-old plant and significantly increase the efficiency at high flow rates. Next year, the first new runner will be retrofit to the highly instrumented Unit 4. If the retrofit unit meets it increased-performance expectations, the other 12 units will be upgraded between 1993 and 1998. The work is part of an overall expansion of the Niagara Power Project designed to made better use of the power value of Niagara river water, within the constraints of a treaty with Canada and the scenic value of the falls. These constraints, together with varying flows and heads, introduced enormous complexities into the selection and design of the new runners. The alterations being made to Unit 4, in addition to replacing the turbine runner, include modifying the draft tube-liners, increasing the wicket-gate stroke, replacing the turbine discharge ring (to accommodate longer blades), making various electrical modifications to the generator, and replacing the transformer. But the key to the retrofit is the computer-designed runner. Charles Grose, senior project manager, New York Power Authority, White Plains, NY, emphasizes that such computer design techniques were not available a few years ago; neither were the computer-controlled machining techniques necessary to manufacture the new runners. Other aspects of the upgrading that were analyzed include runner stability, resonance, shaft torsional stress, and runaway speed.

  8. A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1. Wind and Turbulence

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Nelson, Matthew A.; Brown, Michael J.; Halverson, Scot A.; Bieringer, Paul E.; Annunzio, Andrew; Bieberbach, George; Meech, Scott

    2015-09-25

    We found that numerical-weather-prediction models are often used to supply the mean wind and turbulence fields for atmospheric transport and dispersion plume models as they provide dense horizontally- and vertically-resolved geographic coverage in comparison to typically sparse monitoring networks. Here, the Weather Research and Forecasting (WRF) model was run over the month-long period of the Joint Urban 2003 field campaign conducted in Oklahoma City and the simulated fields important to transport and dispersion models were compared to measurements from a number of sodars, tower-based sonic anemometers, and balloon soundings located in the greater metropolitan area. Time histories of computed windmore » speed, wind direction, turbulent kinetic energy (e), friction velocity (u* ), and reciprocal Obukhov length (1 / L) were compared to measurements over the 1-month field campaign. Vertical profiles of wind speed, potential temperature (θ ), and e were compared during short intensive operating periods. The WRF model was typically able to replicate the measured diurnal variation of the wind fields, but with an average absolute wind direction and speed difference of 35° and 1.9 m s-1 , respectively. Then, using the Mellor-Yamada-Janjic (MYJ) surface-layer scheme, the WRF model was found to generally underpredict surface-layer TKE but overpredict u* that was observed above a suburban region of Oklahoma City. The TKE-threshold method used by the WRF model’s MYJ surface-layer scheme to compute the boundary-layer height (h) consistently overestimated h derived from a θ gradient method whether using observed or modelled θ profiles.« less

  9. Gamma-ray Output Spectra from 239 Pu Fission

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ullmann, John

    2015-05-25

    Gamma-ray multiplicities, individual gamma-ray energy spectra, and total gamma energy spectra following neutron-induced fission of 239Pu were measured using the DANCE detector at Los Alamos. Corrections for detector response were made using a forward-modeling technique based on propagating sets of gamma rays generated from a paramaterized model through a GEANT model of the DANCE array and adjusting the parameters for best fit to the measured spectra. The results for the gamma-ray spectrum and multiplicity are in general agreement with previous results, but the measured total gamma-ray energy is about 10% higher. A dependence of the gamma-ray spectrum on the gamma-raymore » multplicity was also observed. Global model calculations of the multiplicity and gamma energy distributions are in good agreement with the data, but predict a slightly softer total-energy distribution.« less

  10. Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Fuel Cells (JOBS FC): An Economic Impact Tool Developed for USDOE Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An Economic Impact Tool Developed for USDOE ...

  11. Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2004 | Department of Energy Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 The U.S. Environmental Protection Agency (EPA) developed this handbook to assist state, local, and tribal regulators in developing output-based regulations. The handbook provides practical information to help regulators decide if they want to use output-based regulations and explains how to develop an

  12. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  13. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Karen Johnson; Michael Jensen

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  14. Neutron light output and detector efficiency (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Neutron light output and detector efficiency Citation Details In-Document Search Title: Neutron light output and detector efficiency Authors: Taddeucci, Terry N [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2012-03-07 OSTI Identifier: 1170660 Report Number(s): LA-UR-12-01236; LA-UR-12-1236

  15. System for adjusting frequency of electrical output pulses derived from an oscillator

    DOE Patents [OSTI]

    Bartholomew, David B.

    2006-11-14

    A system for setting and adjusting a frequency of electrical output pulses derived from an oscillator in a network is disclosed. The system comprises an accumulator module configured to receive pulses from an oscillator and to output an accumulated value. An adjustor module is configured to store an adjustor value used to correct local oscillator drift. A digital adder adds values from the accumulator module to values stored in the adjustor module and outputs their sums to the accumulator module, where they are stored. The digital adder also outputs an electrical pulse to a logic module. The logic module is in electrical communication with the adjustor module and the network. The logic module may change the value stored in the adjustor module to compensate for local oscillator drift or change the frequency of output pulses. The logic module may also keep time and calculate drift.

  16. Method for leveling the power output of an electromechanical battery as a function of speed

    DOE Patents [OSTI]

    Post, R.F.

    1999-03-16

    The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range. 3 figs.

  17. Method for leveling the power output of an electromechanical battery as a function of speed

    DOE Patents [OSTI]

    Post, Richard F. (Walnut Creek, CA)

    1999-01-01

    The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range.

  18. Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An Economic Impact Tool Developed for USDOE

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An Economic Impact Tool Developed for USDOE Marianne Mintz Argonne National Lab 2 2 What is JOBS FC? � JOBS FC is a user friendly model that can be used to show the economic benefits of near- to mid-term fuel cell deployment for a variety of fuel cell applications and markets � These estimates will enable your organization to quantify the economic advantages of fuel cells and communicate those benefits to community leaders, local

  19. X-ray source assembly having enhanced output stability, and fluid stream analysis applications thereof

    DOE Patents [OSTI]

    Radley, Ian (Glenmont, NY); Bievenue, Thomas J. (Delmar, NY); Burdett, John H. (Charlton, NY); Gallagher, Brian W. (Guilderland, NY); Shakshober, Stuart M. (Hudson, NY); Chen, Zewu (Schenectady, NY); Moore, Michael D. (Alplaus, NY)

    2008-06-08

    An x-ray source assembly and method of operation are provided having enhanced output stability. The assembly includes an anode having a source spot upon which electrons impinge and a control system for controlling position of the anode source spot relative to an output structure. The control system can maintain the anode source spot location relative to the output structure notwithstanding a change in one or more operating conditions of the x-ray source assembly. One aspect of the disclosed invention is most amenable to the analysis of sulfur in petroleum-based fuels.

  20. X-ray source assembly having enhanced output stability, and fluid stream analysis applications thereof

    DOE Patents [OSTI]

    Radley, Ian; Bievenue, Thomas J.; Burdett Jr., John H.; Gallagher, Brian W.; Shakshober, Stuart M.; Chen, Zewu; Moore, Michael D.

    2007-04-24

    An x-ray source assembly (2700) and method of operation are provided having enhanced output stability. The assembly includes an anode (2125) having a source spot upon which electrons (2120) impinge and a control system (2715/2720) for controlling position of the anode source spot relative to an output structure. The control system can maintain the anode source spot location relative to the output structure (2710) notwithstanding a change in one or more operating conditions of the x-ray source assembly. One aspect of the disclosed invention is most amenable to the analysis of sulfur in petroleum-based fuels.

  1. Optimization of the output and efficiency of a high power cascaded arc hydrogen plasma source

    SciTech Connect (OSTI)

    Vijvers, W. A. J.; Gils, C. A. J. van; Goedheer, W. J.; Meiden, H. J. van der; Veremiyenko, V. P.; Westerhout, J.; Lopes Cardozo, N. J.; Rooij, G. J. van; Schram, D. C.

    2008-09-15

    The operation of a cascaded arc hydrogen plasma source was experimentally investigated to provide an empirical basis for the scaling of this source to higher plasma fluxes and efficiencies. The flux and efficiency were determined as a function of the input power, discharge channel diameter, and hydrogen gas flow rate. Measurements of the pressure in the arc channel show that the flow is well described by Poiseuille flow and that the effective heavy particle temperature is approximately 0.8 eV. Interpretation of the measured I-V data in terms of a one-parameter model shows that the plasma production is proportional to the input power, to the square root of the hydrogen flow rate, and is independent of the channel diameter. The observed scaling shows that the dominant power loss mechanism inside the arc channel is one that scales with the effective volume of the plasma in the discharge channel. Measurements on the plasma output with Thomson scattering confirm the linear dependence of the plasma production on the input power. Extrapolation of these results shows that (without a magnetic field) an improvement in the plasma production by a factor of 10 over where it was in van Rooij et al. [Appl. Phys. Lett. 90, 121501 (2007)] should be possible.

  2. Sanov and central limit theorems for output statistics of quantum Markov chains

    SciTech Connect (OSTI)

    Horssen, Merlijn van; Gu??, M?d?lin

    2015-02-15

    In this paper, we consider the statistics of repeated measurements on the output of a quantum Markov chain. We establish a large deviations result analogous to Sanovs theorem for the multi-site empirical measure associated to finite sequences of consecutive outcomes of a classical stochastic process. Our result relies on the construction of an extended quantum transition operator (which keeps track of previous outcomes) in terms of which we compute moment generating functions, and whose spectral radius is related to the large deviations rate function. As a corollary to this, we obtain a central limit theorem for the empirical measure. Such higher level statistics may be used to uncover critical behaviour such as dynamical phase transitions, which are not captured by lower level statistics such as the sample mean. As a step in this direction, we give an example of a finite system whose level-1 (empirical mean) rate function is independent of a model parameter while the level-2 (empirical measure) rate is not.

  3. Dissemination of Climate Model Output to the Public and Commercial Sector

    SciTech Connect (OSTI)

    Robert Stockwell, PhD

    2010-09-23

    Climate is defined by the Glossary of Meteorology as the mean of atmospheric variables over a period of time ranging from as short as a few months to multiple years and longer. Although the term climate is often used to refer to long-term weather statistics, the broader definition of climate is the time evolution of a system consisting of the atmosphere, hydrosphere, lithosphere, and biosphere. Physical, chemical, and biological processes are involved in interactions among the components of the climate system. Vegetation, soil moisture, and glaciers are part of the climate system in addition to the usually considered temperature and precipitation (Pielke, 2008). Climate change refers to any systematic change in the long-term statistics of climate elements (such as temperature, pressure, or winds) sustained over several decades or longer. Climate change can be initiated by external forces, such as cyclical variations in the Earth's solar orbit that are thought to have caused glacial and interglacial periods within the last 2 million years (Milankovitch, 1941). However, a linear response to astronomical forcing does not explain many other observed glacial and interglacial cycles (Petit et al., 1999). It is now understood that climate is influenced by the interaction of solar radiation with atmospheric greenhouse gasses (e.g., carbon dioxide, chlorofluorocarbons, methane, nitrous oxide, etc.), aerosols (airborne particles), and Earth's surface. A significant aspect of climate are the interannual cycles, such as the El Nino La Nina cycle which profoundly affects the weather in North America but is outside the scope of weather forecasts. Some of the most significant advances in understanding climate change have evolved from the recognition of the influence of ocean circulations upon the atmosphere (IPCC, 2007). Human activity can affect the climate system through increasing concentrations of atmospheric greenhouse gases, air pollution, increasing concentrations of aerosol, and land alteration. A particular concern is that atmospheric levels of CO{sub 2} may be rising faster than at any time in Earth's history, except possibly following rare events like impacts from large extraterrestrial objects (AMS, 2007). Atmospheric CO{sub 2} concentrations have increased since the mid-1700s through fossil fuel burning and changes in land use, with more than 80% of this increase occurring since 1900. The increased levels of CO{sub 2} will remain in the atmosphere for hundreds to thousands of years. The complexity of the climate system makes it difficult to predict specific aspects of human-induced climate change, such as exactly how and where changes will occur, and their magnitude. The Intergovernmental Panel for Climate Change (IPCC) was established by World Meteorological Organization (WMO) and the United Nations in 1988. The IPCC was tasked with assessing the scientific, technical and socioeconomic information needed to understand the risk of human-induced climate change, its observed and projected impacts, and options for adaptation and mitigation. The IPCC concluded in its Fourth Assessment Report (AR4) that warming of the climate system is unequivocal, and that most of the observed increase in globally averaged temperatures since the mid-20th century is very likely due to the observed increased in anthropogenic greenhouse gas concentrations (IPCC, 2007).

  4. EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    e Page Last Modified: May 2010 Table 4e. Gross Output1by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002...

  5. EIA Energy Efficiency-Table 3e. Gross Output by Selected Industries...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    e Page Last Modified: May 2010 Table 3e. Gross Output1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998...

  6. Examining the Variability of Wind Power Output in the Regulation Time Frame: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Shedd, S.; Florita, A.

    2012-08-01

    This work examines the distribution of changes in wind power for different time scales in the regulation time frame as well as the correlation of changes in power output for individual wind turbines in a wind plant.

  7. Rising U.S. oil output leads world oil supply growth

    U.S. Energy Information Administration (EIA) Indexed Site

    Rising U.S. oil output leads world oil supply growth U.S. crude oil production reached 7 million barrels per day at the end of 2012 for the first time in two decades and is well on ...

  8. New Research Center to Increase Safety and Power Output of U.S. Nuclear

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Reactors | Department of Energy Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors New Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors May 3, 2011 - 3:41pm Addthis Oak Ridge, Tenn. - Today the Department of Energy dedicated the Consortium for Advanced Simulation of Light Water Reactors (CASL), an advanced research facility that will accelerate the advancement of nuclear reactor technology. CASL researchers are using supercomputers to

  9. Summary of the Output from the VTP Advanced Materials Workshop | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Summary of the Output from the VTP Advanced Materials Workshop Summary of the Output from the VTP Advanced Materials Workshop 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon vtpn04_lm_schutte_2012_o.pdf More Documents & Publications Materials Lightweight Materials Overview Overview of Lightweight Materials

  10. Enhancing the Output of LED Lighting | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Enhancing the Output of LED Lighting Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: Email Us More Information » 04.01.12 Enhancing the Output of LED Lighting Adding

  11. Water Power Calculator Temperature and Analog Input/Output Module Ambient Temperature Testing

    SciTech Connect (OSTI)

    Mark D. McKay

    2011-02-01

    Water Power Calculator Temperature and Analog input/output Module Ambient Temperature Testing A series of three ambient temperature tests were conducted for the Water Power Calculator development using the INL Calibration Laboratorys Tenney Environmental Chamber. The ambient temperature test results demonstrate that the Moore Industries Temperature Input Modules, Analog Input Module and Analog Output Module, ambient temperature response meet or exceed the manufactures specifications

  12. Room-return scattering in fission neutron outputs (Conference) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Room-return scattering in fission neutron outputs Citation Details In-Document Search Title: Room-return scattering in fission neutron outputs Authors: Taddeucci, Terry N [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2011-07-27 OSTI Identifier: 1084596 Report Number(s): LA-UR-11-04357; LA-UR-11-4357 DOE Contract Number: AC52-06NA25396 Resource Type: Conference Resource Relation: Conference: Chi-Nu project level

  13. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    -- -- -- -- -- -- -- 1.00 1.00 Fire -- -- -- -- -- -- -- -- -- Vandalism, Terrorism, or Malicious Acts -- -- -- -- 2.00 -- -- -- 2.00 Failed AC Substation Equipment --...

  14. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    28.00 2.00 2.00 23.00 89.00 Fire 1.00 -- 1.00 1.00 3.00 -- -- 50.00 56.00 Vandalism, Terrorism, or Malicious Acts -- -- -- -- 7.00 -- -- -- 7.00 Failed AC Substation Equipment...

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. U.S. Transmission Circuit Outages by Type and NERC region, 2013 Outage Type FRCC MRO NPCC RFC SERC SPP TRE WECC Contiguous U.S. Circuit Outage Counts Automatic Outages...

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2004 - December 2014 (Thousand Megawatthours) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2004 1,291,982 1,230,425 1,017,850 7,224 3,547,479 2005 1,359,227 1,275,079 1,019,156 7,506 3,660,969 2006 1,351,520 1,299,744 1,011,298 7,358 3,669,919 2007 1,392,241 1,336,315 1,027,832 8,173 3,764,561 2008 1,380,662 1,336,133 1,009,516 7,653 3,733,965 2009 1,364,758 1,306,853 917,416 7,768

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    8. Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2014 and 2013 (Thousand Megawatthours) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 47,212 48,369 53,107 44,938 19,107 27,472 557 577 119,983 121,357 Connecticut 12,778 13,135 12,894 13,009 3,515 3,490 169 190 29,354 29,825 Maine 4,661 4,662 3,985 4,016 3,357 3,177 0 0

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0. Average Price of Electricity to Ultimate Customers by End-Use Sector, by State, 2014 and 2013 (Cents per Kilowatthour) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 17.82 16.22 14.70 13.97 11.84 12.25 10.38 12.15 15.45 14.47 Connecticut 19.75 17.55 15.55 14.63 12.92 12.61 13.08 10.31 17.05 15.66 Maine 15.27 14.35 12.70 11.74 8.95 8.34 -- --

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Electric Power Industry - U.S. Electricity Imports from and Electricity Exports to Canada and Mexico, 2004-2014 (Megawatthours) Canada Mexico U.S. Total Year Imports from Exports to Imports from Exports to Imports Exports 2004 33,007,487 22,482,109 1,202,576 415,754 34,210,063 22,897,863 2005 42,332,039 18,680,237 1,597,275 470,731 43,929,314 19,150,968 2006 41,544,052 23,405,387 1,147,258 865,948 42,691,310 24,271,335 2007 50,118,056 19,559,417 1,277,646 584,175 51,395,702 20,143,592 2008

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Green Pricing Customers by End Use Sector, 2005 through 2012 (Table Discontinued) Year Residential Commercial Industrial Transportation Total 2005 871,774 70,303 695 -- 942,772 2006 606,919 35,414 522 1 642,856 2007 773,391 61,608 553 99 835,651 2008 918,284 63,521 987 203 982,995 2009 1,058,185 64,139 1,454 -- 1,123,778 2010 1,137,047 78,128 1,407 -- 1,216,582 2011 1,187,867 89,677 1,440 -- 1,278,984 2012 2,162,230 102,223 1,509 -- 2,265,963 2012 was the last year this data was collected. In

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Generation from Renewable Sources: Total (All Sectors), 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Generation from Renewable Sources: Electric Utilities, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3.B. Net Generation from Renewable Sources: Independent Power Producers, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Net Generation by Energy Source: Commercial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric and Solar Hydroelectric Pumped Storage Other Total Generation at Utility Scale Facilities Estimated Distributed Solar

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Net Generation by Energy Source: Industrial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric and Solar Hydroelectric Pumped Storage Other Total Generation at Utility Scale Facilities Estimated Distributed Solar

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Generation from Renewable Sources: Industrial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Net Generation by Energy Source: Residential Sector, 2014 (Thousand Megawatthours) Distributed Generation Period Estimated Distributed Solar Photovoltaic Generation Annual Totals 2014 4,243 Year 2014 January 226 February 238 March 328 April 361 May 402 June 410 July 431 August 431 September 404 October 382 November 319 December 311 See Glossary for definitions. Values are final. See Technical Notes for a discussion of the sample design for the Form EIA-923 and predecessor forms. Totals may

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Utility Scale Facility Net Generation from Other Gases by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Utility Scale Facility Net Generation from Nuclear Energy by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Utility Scale Facility Net Generation from Hydroelectric (Conventional) Power by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Utility Scale Facility Net Generation from Renewable Sources Excluding Hydroelectric by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Utility Scale Facility Net Generation from Hydroelectric (Pumped Storage) Power by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7. Utility Scale Facility Net Generation from Other Energy Sources by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    8. Utility Scale Facility Net Generation from Wind by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    9. Utility Scale Facility Net Generation from Biomass by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0. Utility Scale Facility Net Generation from Geothermal by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Utility Scale Facility Net Generation from Solar Photovoltaic by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Utility Scale Facility Net Generation from Solar Thermal by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2004 through 2014 Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewables Hydroelectric Pumped Storage Other Energy Sources Total (All Sectors) 2004 625 1,143 1,670 46 66 1,425 749 39 28 2005 619 1,133 1,664 44 66 1,422 781 39 29 2006 616 1,148 1,659 46 66 1,421 843 39 29 2007 606 1,163 1,659 46 66 1,424 929 39 25 2008 598 1,170 1,655 43 66 1,423 1,076

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Existing Net Summer Capacity by Energy Source and Producer Type, 2004 through 2014 (Megawatts) Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewable Sources Hydroelectric Pumped Storage Other Energy Sources Total Total (All Sectors) 2004 313,020.0 59,119.0 371,011.0 2,296.0 99,628.0 77,641.0 18,717.0 20,764.0 746.0 962,942.0 2005 313,380.0 58,548.0 383,061.0 2,063.0 99,988.0 77,541.0 21,205.0 21,347.0 887.0 978,020.0 2006 312,956.0 58,097.0 388,294.0

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Existing Net Summer Capacity of Other Renewable Sources by Producer Type, 2004 through 2014 (Megawatts) Year Wind Solar Thermal and Photovoltaic Wood and Wood-Derived Fuels Geothermal Other Biomass Total (Other Renewable Sources) Total (All Sectors) 2004 6,456.0 398.0 6,182.0 2,152.0 3,529.0 18,717.0 2005 8,706.0 411.0 6,193.0 2,285.0 3,609.0 21,205.0 2006 11,329.0 411.0 6,372.0 2,274.0 3,727.0 24,113.0 2007 16,515.0 502.0 6,704.0 2,214.0 4,134.0 30,069.0 2008 24,651.0 536.0 6,864.0 2,229.0

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Existing Capacity by Producer Type, 2014 (Megawatts) Producer Type Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Electric Power Sector Electric Utilities 9,510 675,675.4 616,631.5 637,857.0 Independent Power Producers, Non-Combined Heat and Power Plants 6,975 423,782.6 387,561.6 401,581.5 Independent Power Producers, Combined Heat and Power Plants 559 37,890.2 33,362.6 35,972.8 Total 17,044 1,137,348.2 1,037,555.7 1,075,411.3 Commercial and

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Planned Generating Capacity Changes, by Energy Source, 2015-2019 Generator Additions Generator Retirements Net Capacity Additions Energy Source Number of Generators Net Summer Capacity Number of Generators Net Summer Capacity Number of Generators Net Summer Capacity Year 2015 U.S. Total 704 21,965.9 234 18,351.4 470 3,614.5 Coal 2 52.2 95 13,325.5 -93 -13,273.3 Petroleum 24 24.2 44 902.8 -20 -878.6 Natural Gas 76 6,192.8 61 3,964.2 15 2,228.6 Other Gases -- -- -- -- -- -- Nuclear 1 1,122.0 --

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Capacity Additions, Retirements and Changes by Energy Source, 2014 (Count, Megawatts) Generator Additions Generator Retirements Energy Source Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Coal 1 106.2 52.0 52.0 53 5,083.4 4,489.7 4,552.3 Petroleum 28 62.2 62.0 62.0 55 1,261.0 1,018.6 1,120.0 Natural Gas 92 9,275.2 8,300.8 8,849.5 87 4,184.5 3,834.4 3,918.8

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7.A. Net Summer Capacity of Utility Scale Units by Technology and by State, 2014 and 2013 (Megawatts) Census Division and State Renewable Sources Fossil Fuels Hydroelectric Pumped Storage Other Energy Storage Nuclear All Other Sources All Sources Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 4,577.6 4,403.4 22,853.0 23,564.2 1,775.4 1,753.4 3.0 3.0 4,046.3 4,645.4 52.9 52.9 33,308.2 34,422.3

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Summer Capacity Using Primarily Renewable Energy Sources and by State, 2014 and 2013 (Megawatts) Summer Capacity at Utility Scale Facilities Distributed Capacity Summer Capacity From Utility Scale Facilities and Distributed Capacity Census Division and State Wind Solar Photovoltaic Solar Thermal Conventional Hydroelectric Biomass Sources Geothermal Total Renewable Sources Estimated Distributed Solar Photovoltaic Capacity Estimated Total Solar Photovoltaic Capacity Estimated Total Solar

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7.C. Net Summer Capacity of Utility Scale Units Using Primarily Fossil Fuels and by State, 2014 and 2013 (Megawatts) Census Division and State Natural Gas Fired Combined Cycle Natural Gas Fired Combustion Turbine Other Natural Gas Coal Petroleum Coke Petroleum Liquids Other Gases Total Fossil Fuels Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 11,742.0 11,720.9 1,110.1

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Capacity Factors for Utility Scale Generators Primarily Using Fossil Fuels, January 2013-December 2014 Coal Natural Gas Petroleum Period Natural Gas Fired Combined Cycle Natural Gas Fired Combustion Turbine Steam Turbine Internal Combustion Engine Steam Turbine Petroleum Liquids Fired Combustion Turbine Internal Combustion Engine Annual Factors 2013 59.7% 48.2% 4.9% 10.6% 6.1% 12.1% 0.8% 2.2% 2014 61.0% 48.3% 5.2% 10.4% 8.5% 12.5% 1.1% 1.4% Year 2013 January 61.2% 46.3% 3.6% 7.3% 4.6% 10.0%

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Capacity Factors for Utility Scale Generators Not Primarily Using Fossil Fuels, January 2013-December 2014 Period Nuclear Conventional Hydropower Wind Solar Photovoltaic Solar Thermal Landfill Gas and Muncipal Solid Waste Other Biomass Including Wood Geothermal Annual Factors 2013 89.9% 38.9% 32.4% NA NA 68.9% 56.7% 73.6% 2014 91.7% 37.3% 34.0% 25.9% 19.8% 68.9% 58.9% 74.0% Year 2013 January 93.9% 42.3% 33.5% NA NA 66.0% 56.5% 76.9% February 90.3% 38.3% 35.4% NA NA 65.2% 56.0% 76.1% March

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Producer Type, 2014 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Natural Gas as the Primary Fuel Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Petroleum Liquids Fuel Switchable Net

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Fuel-Switching Capacity of Operable Generators Reporting Petroleum Liquids as the Primary Fuel, by Producer Type, 2014 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Petroleum Liquids as the Primary Fuel Net Summer Capacity of Petroleum Liquids-Fired Generators Reporting the Ability to Switch to Natural Gas Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Natural Gas Electric

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Type of Prime Mover, 2014 (Megawatts, Percent) Prime Mover Type Number of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Net Summer Capacity Reported to Have No Factors that Limit the Ability to Switch to Petroleum Liquids Steam Generator 178

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Year of Initial Commercial Operation, 2014 (Megawatts, Percent) Year of Initial Commercial Operation Number of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Net Summer Capacity Reported to Have No Factors that Limit the Ability to Switch to

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 344,134 19,973 130,248 168 193,745 2005 355,250 27,373 138,407 207 189,263 2006 350,074 27,455 135,546 269 186,803 2007 353,025 31,568 132,953 284 188,220 2008 338,786 29,150 130,122 287 179,227 2009 320,444 29,565 130,894 274 159,712 2010

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    D. Other Waste Biomass: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 19,215 2,014 9,240 4,308 3,654 2005 17,852 2,485 7,365 4,677 3,325 2006 17,727 2,611 7,788 4,436 2,893 2007 19,083 2,992 8,861 4,049 3,181 2008 24,288 3,409 12,745 3,684 4,450 2009 24,847 3,679 13,231 3,760 4,177 2010 29,996 3,668 14,449 3,790

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    9. Consumption of Coal for Electricity Generation by State by Sector, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 2,310 2,773 -17% 544 616 1,753 2,144 0 0 13 13 Connecticut 499 419 19% 0 0 499 419 0 0 0 0 Maine 19 15 27% 0 0 10 7 0 0 9 8

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 3,947 3,913 0.9% 0 0 3,670 3,630 277 283 0 0 Connecticut 1,439 1,416 1.6% 0 0 1,362 1,330 77 86 0 0

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2004 - 2014 Electric Power Sector Electric Utilities Independent Power Producers Period Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) End of Year Stocks 2004 106,669 46,750 937 84,917 29,144 627

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by State, 2014 and 2013 Census Division and State Coal (Thousand Tons) Petroleum Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) December 2014 December 2013 Percentage Change December 2014 December 2013 Percentage Change December 2014 December 2013 Percentage Change New England 1,611 1,129 42.7% 4,989 3,613 38.1% 0 0 -- Connecticut W W W 1,498 1,141 31.3% 0 0 -- Maine 0 0 -- W W W 0 0 -- Massachusetts W 582

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by Census Divison, 2014 and 2013 Electric Power Sector Electric Utilities Independent Power Producers Census Division December 2014 December 2013 Percentage Change December 2014 December 2013 December 2014 December 2013 Coal (Thousand Tons) New England 1,611 1,129 42.7% W W W W Middle Atlantic 8,079 5,973 35.3% W 0 W 5,973 East North Central 33,839 28,279 19.7% 23,394 22,076 10,446 6,203 West North Central 20,648

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Stocks of Coal by Coal Rank: Electric Power Sector, 2004 - 2014 Electric Power Sector Period Bituminous Coal Subbituminous Coal Lignite Coal Total End of Year Stocks 2004 49,022 53,618 4,029 106,669 2005 52,923 44,377 3,836 101,137 2006 67,760 68,408 4,797 140,964 2007 63,964 82,692 4,565 151,221 2008 65,818 91,214 4,556 161,589 2009 91,922 92,448 5,097 189,467 2010 81,108 86,915 6,894 174,917 2011 82,056 85,151 5,179 172,387 2012 86,437 93,833 4,846 185,116 2013 73,113 69,720 5,051 147,884

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2004 through 2014 Coal Petroleum Natural Gas All Fossil Fuels Average Cost Average Cost Average Cost Average Cost Period Receipts (Thousand Tons) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Ton) Receipts (Thousand Barrels) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Barrel) Receipts (Thousand Mcf) (Dollars per MMBtu) (Dollars per MMBtu) 2004 1,002,032 0.97 1.36 27.42

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Weighted Average Cost of Fossil Fuels for the Electric Power Industry, 2004 through 2014 Coal Petroleum Natural Gas Total Fossil Bituminous Subbituminous Lignite All Coal Ranks Period Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu)

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 15,440,681 758,557 1.34 27.30 0.91 98.2 592,478 93,034 4.80

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 107,985 3,817 0.89 25.15 5.10

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7 Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 4,410,775 227,700 1.41 27.27 1.13 93.3 337,011

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    8. Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 73,745 2,609 0.72 20.30

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    9. Receipts, Average Cost, and Quality of Fossil Fuels: Commercial Sector, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 10,682 451 2.08 49.32 2.48 23.5 3,066 527 6.19 35.96 0.20

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0. Receipts, Average Cost, and Quality of Fossil Fuels: Commerical Sector, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 0 0 -- -- -- 0.0 16,176 15,804

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 326,495 15,324 1.63 34.79 1.43 57.6 25,491 4,107 4.98 30.93

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 14,876 540 0.98 27.01 5.59 40.4

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Receipts of Petroleum Liquids Delivered for Electricity Generation by State, 2014 and 2013 (Thousand Barrels) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 4,554 3,177 43% 755 421 3,748 2,730 0 0 50 25 Connecticut 1,092 594 84% 0 0 1,092 594 0 0 0 0 Maine 637 898 -29% 0

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2014 and 2013 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 329,008 364,201 -9.7% 1,968 1,600 321,630 348,352 0 0 5,409 14,249 Connecticut 96,817 104,666 -7.5% 0 0 96,817 104,666

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England 17.53 W W 16.96 18.60 17.64 W Connecticut W W W -- -- W W Maine W W W -- -- W W Massachusetts 18.09 18.16 -0.4% 19.94 21.91 17.75 17.68 New Hampshire W W W 15.16 16.84 W W Rhode Island W W W -- --

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    9. Average Cost of Petroleum Coke Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England -- -- -- -- -- -- -- Connecticut -- -- -- -- -- -- -- Maine -- -- -- -- -- -- -- Massachusetts -- -- -- -- -- -- -- New Hampshire -- -- -- -- -- -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- --

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0. Average Cost of Natural Gas Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England 6.49 5.89 10% 5.65 7.29 6.50 5.88 Connecticut 6.65 6.06 9.7% -- -- 6.65 6.06 Maine W W W -- -- W W Massachusetts 6.46 5.75 12% 5.54 6.84 6.47 5.74 New Hampshire W W W 6.05 8.85 W W Rhode Island W 5.67 W

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Total (All Sectors) by State, 2014 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 1,836 1.20 10.1 741 0.09 2.0 0 -- -- Connecticut 0

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Commercial Sector by State, 2014 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 0 -- -- 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Average Operating Heat Rate for Selected Energy Sources, 2004 through 2014 (Btu per Kilowatthour) Year Coal Petroleum Natural Gas Nuclear 2004 10331 10571 8647 10428 2005 10373 10631 8551 10436 2006 10351 10809 8471 10435 2007 10375 10794 8403 10489 2008 10378 11015 8305 10452 2009 10414 10923 8160 10459 2010 10415 10984 8185 10452 2011 10444 10829 8152 10464 2012 10498 10991 8039 10479 2013 10459 10713 7948 10449 2014 10428 10814 7907 10459 Coal includes anthracite, bituminous, subbituminous

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Average Tested Heat Rates by Prime Mover and Energy Source, 2007 - 2014 (Btu per Kilowatthour) Prime Mover Coal Petroluem Natural Gas Nuclear 2007 Steam Generator 10,158 10,398 10,440 10,489 Gas Turbine -- 13,217 11,632 -- Internal Combustion -- 10,447 10,175 -- Combined Cycle W 10,970 7,577 -- 2008 Steam Generator 10,138 10,356 10,377 10,452 Gas Turbine -- 13,311 11,576 -- Internal Combustion -- 10,427 9,975 -- Combined Cycle W 10,985 7,642 -- 2009 Steam Generator 10,150 10,349 10,427 10,459

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Average Power Plant Operating Expenses for Major U.S. Investor-Owned Electric Utilities, 2004 through 2014 (Mills per Kilowatthour) Operation Maintenance Year Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale 2004 8.97 3.13 3.83 4.27 5.38 2.96 2.76 2.14 2005 8.26 3.21 3.95 3.69 5.27 2.98 2.73 1.89 2006 9.03 3.57 3.76 3.51 5.69 3.19 2.70 2.16 2007 9.54 3.63 5.44 3.26 5.79 3.37 3.87 2.42 2008 9.89 3.72 5.78 3.77 6.20

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Quantity and Net Summer Capacity of Operable Cooling Systems, by Energy Source and Cooling System Type, 2004 - 2014 Once-Through Cooling Systems Recirculating Cooling Systems Cooling Ponds Dry Cooling Systems Hybrid Wet and Dry Cooling Systems Other Cooling System Types Energy Source Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Average Costs of Existing Flue Gas Desulfurization Units Operating in Electric Power Sector, 2004 - 2014 Year Average Operation and Maintenance Costs (Dollars per Megawatthour) Average Installed Capital Costs (Dollars per Kilowatt) 2004 1.25 43.25 2005 1.37 142.67 2006 -- 149.62 2007 1.26 240.68 2008 1.44 265.83 2009 1.44 357.46 2010 1.52 360.69 2011 1.79 410.62 2012 1.87 275.49 2013 1.74 235.42 2014 1.84 227.29 Notes: Average Installed Capital Costs reflect units which began operating in the

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants, by State, 2013 and 2014 (Thousand Metric Tons) Census Division and State Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 29,482 33,437 21 31 34 37 Connecticut 7,959 8,726 2 3 8 9 Maine 3,298 3,675 10 12 8 9 Massachusetts 12,231 14,735 6 11 13 14 New Hampshire 3,415 3,447 3 3 4 5 Rhode Island 2,566 2,838 0.09

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Demand-Side Management Program Annual Effects by Program Category, 2004 through 2012 (Table Discontinued) Energy Efficiency Load Management Total Year Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Potential Peak Load Reduction (MW) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) 2004 52,663 14,272 1,966 20,997 9,263 54,629 23,535 2005 59,000 15,394 930 21,259 10,341 59,930 25,735 2006 63,076 16,006 790

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Demand-Side Management Program Annual Effects by Program Category, by Sector, 2004 through 2012 (Table Discontinued) Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2004 17,185 24,290 11,137 50 52,663 2005 18,894 28,073 11,986 47 59,000 2006 21,150 28,720 13,155 50 63,076 2007 22,772 30,359 14,038 108 67,278 2008 25,396 34,634 14,766 75 74,871 2009 27,395 34,831 14,610 76 76,912 2010 32,150 37,416 17,259 89 86,914 2011 46,790

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Demand-Side Management Program Incremental Effects by Program Category, 2004 through 2012 (Table Discontinued) Energy Efficiency Load Management Total Year Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Potential Peak Load Reduction (MW) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) 2004 4,532 1,727 36 3,064 1,163 4,569 2,890 2005 5,879 1,705 137 2,223 1,162 6,016 2,867 2006 5,394 1,268 99 2,817 1,690

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Demand-Side Management Program Incremental Effects by Program Category, by Sector, 2004 through 2012 (Table Discontinued) Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2004 1,827 1,812 894 -- 4,532 2005 2,249 2,559 1,071 -- 5,879 2006 2,127 2,281 986 -- 5,394 2007 3,659 2,830 1,178 13 7,680 2008 4,568 4,383 1,477 1 10,428 2009 5,030 4,959 2,918 1 12,907 2010 6,492 5,325 1,771 5 13,592 2011 9,989 8,166 3,261 6 21,421 2012 9,531

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Demand-Side Management Program Direct and Indirect Costs, 2004 through 2012 (Thousand Dollars) (Table Discontinued) Year Energy Efficiency Load Management Direct Cost Indirect Cost Total Cost 2004 910,816 510,281 1,421,097 132,295 1,560,578 2005 1,180,576 622,287 1,802,863 127,925 1,939,115 2006 1,270,602 663,980 1,934,582 128,886 2,072,962 2007 1,677,969 700,362 2,378,331 160,326 2,604,711 2008 2,137,452 836,359 2,973,811 181,843 3,186,742 2009 2,221,480 944,261 3,165,741 394,193 3,607,076

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Energy Efficiency Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Incremental Annual Savings - Energy Savings (MWh) 2013 11,031,419 10,478,997 3,141,213 29,894 24,681,523 2014 11,442,191 11,928,895 3,074,819 19,316 26,465,221 Incremental Annual Savings - Peak Demand Savings (MW) 2013 6,812 11,319 1,463 5 19,599 2014 3,031 2,920 564 2 6,517 Incremental Costs - Customer Incentive (thousand dollars) 2013 1,252,085 1,274,406 345,676 5 2,872,171

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7. Energy Efficiency - Life Cycle Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Life Cycle Savings - Energy Savings (MWh) 2013 84,525,515 128,026,835 38,500,862 448,421 251,464,746 2014 100,729,499 149,493,353 39,631,016 287,925 290,141,793 Life Cycle Savings - Peak Demand Savings (MW) 2013 44,351 70,979 19,524 6 134,861 2014 17,911 46,600 12,248 2 76,760 Life Cycle Costs - Customer Incentive (thousand dollars) 2013 2,698,741 2,875,605 455,357

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0. Advanced Metering Count by Technology Type, 2007 through 2014 Year Residential Commercial Industrial Transportation Total Automated Meter Reading (AMR) 2007 25,785,782 2,322,329 44,015 109 28,152,235 2008 36,425,943 3,529,985 77,122 13 40,033,063 2009 41,462,111 4,239,531 107,033 11 45,808,686 2010 43,913,225 4,611,877 159,315 626 48,685,043 2011 41,451,888 4,341,105 172,692 77 45,965,762 2012 43,455,437 4,691,018 185,862 125 48,330,822 2013 42,491,242 4,632,744 196,132 1,202 47,321,320 2014

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Sulfur Dioxide Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Cyclone Firing Boiler Fluidized Bed Firing Boiler Stoker Boiler Tangential Firing Boiler All Other Boiler Types Combustion Turbine Internal Combustion Engine Distillate Fuel Oil* DFO Source: 2, Table 3.1-2a, 3.4-1 & 1.3-1 Lbs per MG

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Nitrogen Oxides Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Tangential Boiler All Other Boiler Types Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Cyclone Firing Boiler Fluidized Bed Firing Boiler Stoker Boiler Dry-Bottom Boilers Wet-Bottom Boilers Dry-Bottom Boilers Wet-Bottom Boilers Combustion Turbine Internal Combustion Engine

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Nitrogen Oxides Control Technology Emissions Reduction Factors Reduction Factor Nitrogen Oxides Control Technology EIA Code Coal Residual Fuel Oil and Distallate Fuel Oil Natural Gas Wood Other Solids Other Liquids Other Gases Other Fuels Burner Out of Service BO 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Low Excess Air LA 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Biased Firing (Alternative Burners) BF 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Overfire Air OV 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Unit of Measure Equivalents Unit Equivalent Kilowatt (kW) 1,000 (One Thousand) Watts Megawatt (MW) 1,000,000 (One Million) Watts Gigawatt (GW) 1,000,000,000 (One Billion) Watts Terawatt (TW) 1,000,000,000,000 (One Trillion) Watts Gigawatt 1,000,000 (One Million) Kilowatts Thousand Gigawatts 1,000,000,000 (One Billion) Kilowatts Kilowatthours (kWh) 1,000 (One Thousand) Watthours Megawatthours (MWh) 1,000,000 (One Million) Watthours Gigawatthours (GWh) 1,000,000,000 (One Billion) Watthours

  18. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    B. U.S. Transformer Outages by Type and NERC region, 2013 Outage Type Eastern Interconnection TRE WECC Contiguous U.S. Circuit Outage Counts Automatic Outages (Sustained) 59.00 --...

  19. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    ... "Note: Includes all employees engaged in production, preparation, processing, development, maintenance, repair shop, or yard work at mining operations, including office workers. ...

  20. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Includes all employees engaged in production, preparation, processing, development, maintenance, repair shop, or yard work at mining operations, including office workers. Excludes ...

  1. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Capacity (MW) Year Internal Combustion Combustion Turbine Steam Turbine Hydro Wind Photovoltaic Storage Other Wind and Other Total Number of Generators Distributed Generators 2005 ...

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Receipts and Quality of Coal Delivered for the Electric Power Industry, 2004 through 2014 Bituminous Subbituminous Lignite Period Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight 2004 470,619 1.52 10.4 445,603 0.36 6.0 78,268 1.05 14.2 2005 480,179 1.56 10.5 456,856 0.36 6.2 77,677

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants 2004 through 2014 (Thousand Metric Tons) Year Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) 2004 2,486,982 10,309 4,143 2005 2,543,838 10,340 3,961 2006 2,488,918 9,524 3,799 2007 2,547,032 9,042 3,650 2008 2,484,012 7,830 3,330 2009 2,269,508 5,970 2,395 2010 2,388,596 5,400 2,491 2011 2,287,071 4,845 2,406 2012 2,156,875 3,704 2,148 2013 2,172,355 3,609 2,188 2014 2,160,342

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Quantity and Net Summer Capacity of Operable Environmental Equipment, 2004 - 2014 Flue Gas Desulfurization Systems Electrostatic Precipitators Baghouses Select Catalytic and Non-Catalytic Reduction Systems Activated Carbon Injection Systems Direct Sorbent Injection Systems Year Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Total Electric Power Industry Summary Statistics, 2014 and 2013 Net Generation and Consumption of Fuels for January through December Total (All Sectors) Electric Power Sector Commercial Industrial Residential Electric Utilities Independent Power Producers Fuel Facility Type Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Net Generation (Thousand Megawatthours) Coal Utility Scale Facilities 1,581,710

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Summary Statistics for the United States, 2004 - 2014 (From Table 2.1.) Number of Ultimate Customers Year Residential Commercial Industrial Transportation Other Total 2004 118,763,768 16,606,783 747,600 1,025 N/A 136,119,176 2005 120,760,839 16,871,940 733,862 518 N/A 138,367,159 2006 122,471,071 17,172,499 759,604 791 N/A 140,403,965 2007 123,949,916 17,377,219 793,767 750 N/A 142,121,652 2008 125,037,837 17,582,382 774,808 726 N/A 143,395,753 2009 125,208,829 17,562,235 757,537 704 N/A

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Supply and Disposition of Electricity, 2004 through 2014 (From Chapter 2.) Supply (Million Megawatthours) Generation Year Electric Utilities IPP (Non-CHP) IPP (CHP) Commercial Sector Industrial Sector Total Imports Total Supply 2004 2,505 1,119 184 8 154 34 4,005 2005 2,475 1,247 180 8 145 44 4,099 2006 2,484 1,259 165 8 148 43 4,107 2007 2,504 1,324 177 8 143 51 4,208 2008 2,475 1,332 167 8 137 57 4,176 2009 2,373 1,278 159 8 132 52 4,003 2010 2,472 1,339 162 9 144 45 4,170 2011 2,461 1,331

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Number of Ultimate Customers Served by Sector, by Provider, 2004 through 2014 Year Residential Commercial Industrial Transportation Total Total Electric Industry 2004 118,763,768 16,606,783 747,600 1,025 136,119,176 2005 120,760,839 16,871,940 733,862 518 138,367,159 2006 122,471,071 17,172,499 759,604 791 140,403,965 2007 123,949,916 17,377,219 793,767 750 142,121,652 2008 125,037,837 17,582,382 774,808 726 143,395,753 2009 125,208,829 17,562,235 757,537 704 143,529,305 2010 125,717,935

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Sales and Direct Use of Electricity to Ultimate Customers by Sector, by Provider, 2004 through 2014 (Megawatthours) Year Residential Commercial Industrial Transportation Total Direct Use Total End Use Total Electric Industry 2004 1,291,981,578 1,230,424,731 1,017,849,532 7,223,642 3,547,479,483 168,470,002 3,715,949,485 2005 1,359,227,107 1,275,079,020 1,019,156,065 7,506,321 3,660,968,513 150,015,531 3,810,984,044 2006 1,351,520,036 1,299,743,695 1,011,297,566 7,357,543 3,669,918,840

  10. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Productive Capacity of Coal Mines by State, 2013 and 2012" "(thousand short tons)" ,2013,,,2012,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",15121,7633,22754,14594,7967,22561,3.6,-4.2,0.9

  11. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Capacity Utilization of Coal Mines by State, 2013 and 2012" "(percent)" ,2013,,,2012 "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",89.38,66.73,81.78,85.99,83.96,85.28 "Alaska","-",54.39,54.39,"-",68.4,68.4 "Arizona","-",89.44,89.44,"-",88.16,88.16

  12. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    19. Average Number of Employees at Underground and Surface Mines by State and Mine Production Range, 2013" ,"Mine Production Range (thousand short tons)" "Coal-Producing State, Region1","Above 1,000","Above 500","Above 200","Above 100","Above 50","Above 10","Above 0","Zero2","Total Number" "and Mine Type",,"to 1,000","to 500","to 200","to

  13. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    5. Coal Consumers in the Manufacturing and Coke Sectors, 2013" "Company Name","Plant Location" "Top Ten Manufacturers" "American Crystal Sugar Co","MN, ND" "Archer Daniels Midland","IA, IL, MN, NE" "Carmeuse Lime Stone Inc","AL, IN, KY, MI, OH, PA, TN, WI" "Cemex Inc","AL, CA, CO, FL, GA, KY, OH, TN, TX" "Dakota Gasification Company","ND" "Eastman Chemical

  14. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    9. Average Sales Price of Coal by State and Underground Mining Method, 2013" "(dollars per short ton)" "Coal-Producing State","Continuous1","Conventional and","Longwall3","Total" ,,"Other2" "Alabama","w","-","w",88.19 "Arkansas","w","-","-","w" "Colorado","w","-","w",36.62

  15. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    1. Average Sales Price of Coal by State and Coal Rank, 2013" "(dollars per short ton)" "Coal-Producing State","Bituminous","Subbituminous","Lignite","Anthracite","Total" "Alabama",88.2,"-","-","-",88.2 "Alaska","-","w","-","-","w" "Arizona","w","-","-","-","w"

  16. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Coal Production and Coalbed Thickness by Major Coalbeds and Mine Type, 2013" ,"Production (thousand short tons)",,,"Thickness (inches)" "Coalbed ID Number1","Underground","Surface","Total","Average2","Low","High" "Coalbed Name" "1699 Wyodak","-",351766,351766,776,160,900 "0212 Pittsburgh",60422,134,60556,74,27,98 "0489 No. 9",42955,12475,55430,64,24,79

  17. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Major U.S. Coal Mines, 2013" "Rank","Mine Name / Operating Company","Mine Type","State","Production (short tons)" 1,"North Antelope Rochelle Mine / Peabody Powder River Mining Ll","Surface","Wyoming",111005549 2,"Black Thunder / Thunder Basin Coal Company LLC","Surface","Wyoming",100687876 3,"Cordero Mine / Cordero Mining

  18. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Average Price of U.S. Steam Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",66.77,71.02,69.75,69.74,65.78,6 " Canada*",58.57,69.55,74.38,67.41,55.21,22.1 " Dominican

  19. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Metallurgical Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",1549650,1504086,2035265,3499921,4340585,-19.4 " Canada*",1358361,1245194,1438046,2942612,2810906,4.7 " Dominican

  20. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Average Price of U.S. Metallurgical Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",96.66,97.73,85.77,96.57,86.97,11 " Canada*",99.34,98.87,87.96,97.75,89.46,9.3 " Dominican

  1. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","July - September","April - June","July - September",2015,2014,"Percent" ,2015,2015,2014,,,"Change" "Eastern Total",8557870,10958603,12283396,33112164,42891587,-22.8 " Baltimore, MD",2576557,3838106,2650177,11301131,9335112,21.1 " Boston,

  2. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Steam Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","July - September","April - June","July - September",2015,2014,"Percent" ,2015,2015,2014,,,"Change" "Eastern Total",1548026,1877731,2730789,6838402,10771454,-36.5 " Baltimore, MD",660234,1021447,748318,3223473,2702411,19.3 " Boston,

  3. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Metallurgical Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","July - September","April - June","July - September",2015,2014,"Percent" ,2015,2015,2014,,,"Change" "Eastern Total",7009844,9080872,9552607,26273762,32120133,-18.2 " Baltimore, MD",1916323,2816659,1901859,8077658,6632701,21.8 " Buffalo, NY",465849,419927,319917,981367,473947,107.1

  4. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Coke Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",151884,301843,315628,553020,599779,-7.8 " Canada*",137062,273140,229301,477799,380794,25.5 " Mexico",14476,28404,85930,74273,217777,-65.9 "

  5. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Average Price of U.S. Coke Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",234.67,253.6,264.43,252.47,261.48,-3.4 " Canada*",209.8,247.54,287.72,243.43,285.74,-14.8 "

  6. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Coal Imports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Origin",2015,2015,2014,,,"Change" "North America Total",349630,325205,275518,846533,702563,20.5 " Canada",349630,325205,275507,846466,702552,20.5 " Mexico","-","-",11,67,11,"NM" "South

  7. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Average Price of U.S. Coal Imports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Origin",2015,2015,2014,,,"Change" "North America Total",121.76,122.71,133.33,119.13,130.81,-8.9 " Canada",121.76,122.71,133.33,119.13,130.81,-8.9 "

  8. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Coal Imports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","July - September","April - June","July - September",2015,2014,"Percent" ,2015,2015,2014,,,"Change" "Eastern Total",234865,114560,146505,869484,1223431,-28.9 " Baltimore, MD",356,"-","-",356,60692,-99.4 " Boston, MA",148334,52801,104452,597508,958257,-37.6 " Buffalo,

  9. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Coke Imports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Origin",2015,2015,2014,,,"Change" "North America Total",26442,2184,1212,30661,39596,-22.6 " Canada",26442,2184,1212,30661,39596,-22.6 "South America Total",16976,322,10544,17298,10544,64.1 "

  10. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Average Price of U.S. Coke Imports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Origin",2015,2015,2014,,,"Change" "North America Total",120.37,192.95,189.61,131.75,96.81,36.1 " Canada",120.37,192.95,189.61,131.75,96.81,36.1 "South America

  11. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    2. Coal Production by State" "(thousand short tons)" ,,,,"Year to Date" "Coal-Producing Region","July - September","April - June","July - September",2015,2014,"Percent" "and State",2015,2015,2014,,,"Change" "Alabama",3192,3504,4331,10718,12345,-13.2 "Alaska",255,345,372,866,1178,-26.5 "Arizona",1762,1912,2165,5429,5979,-9.2 "Arkansas",26,27,18,74,58,27.4

  12. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Coal Exports and Imports, 2009 - 2015" "(thousand short tons)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports" 2009,13335,6325,12951,5426,15159,5441,17653,5447,59097,22639

  13. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Average Price of U.S. Coal Exports and Imports, 2009 - 2015" "(dollars per short ton)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports"

  14. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Quantity and Average Price of U.S. Coal Imports by Origin, 2009 - 2015" "(short tons and dollars per short ton)" "Year and Quarter","Australia","Canada","Colombia","Indonesia","China","Venezuela","Other","Total" ,,,,,,,"Countries" 2009,151738,1287626,17787441,2084271,9364,1297214,20861,22638515 2010,380404,1766896,14583950,1904040,52869,581700,82828,19352687

  15. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",2956261,3131636,3226447,7953144,8885158,-10.5 " Canada*",1778488,1792272,1907283,4286463,4732264,-9.4 " Dominican

  16. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Average Price of U.S. Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",82.44,83.85,79.86,81.55,76.14,7.1 " Canada*",89.71,89.92,84.62,88.24,75.55,16.8 " Dominican

  17. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Steam Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",1406611,1627550,1191182,4453223,4544573,-2 " Canada*",420127,547078,469237,1343851,1921358,-30.1 " Dominican

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Assessment Area, 2002 - 2012, Actual Net Internal Demand (Megawatts) -- Winter...

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Assessment Area, 2002 - 2012, Actual Net Internal Demand (Megawatts) -- Summer...

  20. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Coal Production and Number of Mines by State and Coal Rank, 2013" "(thousand short tons)" ,"Bituminous",,"Subbituminous",,"Lignite",,"Anthracite",,"Total" "Coal-Producing","Number ...

  1. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Coal Productivity by State and Mine Type, 2013 and 2012" ,"Number of Mining ... per Employee Hour" ,,,..."(short tons)4" "Coal-Producing State, Region1",2013,2012,"Perce...

  2. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Recoverable Coal Reserves and Average Recovery Percentage at Producing Mines by State, 2013 and 2012" "(million short tons)" ,2013,,2012 "Coal-Producing","Recoverable Coal","Average ...

  3. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Coal Disposition by State, 2013" "(thousand short tons)" "Coal-Producing State","Open Market Sales1","Captive Sales Transactions2","Exports3","Total" "Alabama",6990,"-",10843,178...

  4. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Coal Mining Productivity by State, Mine Type, and Mine Production Range, 2013" "(short tons produced per employee hour)" ,"Mine Production Range (thousand short tons)" "Coal-Produc...

  5. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    4. Coal Mining Productivity by State, Mine Type, and Union Status, 2013" "(short tons produced per employee hour)" ,"Union",,"Nonunion" "Coal-Producing State and Region1","Underground"...

  6. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Underground Coal Production by State and Mining Method, 2013" "(thousand short tons)" "Coal-Producing State and Region1","Continuous2","Conventional and","Longwall4","Total" ...

  7. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Major U.S. Coal Producers, 2013" "Rank","Controlling Company Name","Production (thousand short tons)","Percent of Total Production" 1,"Peabody Energy Corp",183275,18.6 2,"Arch Coal ...

  8. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2013" "(million short tons)" ,"Continuous1",,"Conventional ...

  9. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    2. Underground Coal Mining Productivity by State and Mining Method, 2013" "(short tons produced per employee hour)" "Coal-Producing State, Region1 and Mine Type","Continuous2","Con...

  10. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine ... "Mine Production Range","Recoverable Coal","Average Recovery","Recoverable ...

  11. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Coal Production by Coalbed Thickness and Mine Type, 2013" "(thousand short tons)" "Coal Thickness (inches)","Underground","Surface","Total" "Under 7","-",1448,1448 "7 - Under ...

  12. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Coal Production by State, Mine Type, and Union Status, 2013" "(thousand short tons)" ,"Union",,"Nonunion",,"Total" "Coal-Producing","Underground","Surface","Underground","Surface",...

  13. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    7. Year-End Coal Stocks by Sector, Census Division, and State, 2013 and 2012" "(thousand ... Operations Report,' Form EIA-3, 'Quarterly Coal Consumption and Quality Report, ...

  14. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Coal Production and Number of Mines by State and Mine Type, 2013 and 2012" "(thousand short tons)" ,2013,,2012,,"Percent Change" "Coal-Producing","Number of Mines","Production","Nu...

  15. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    3. Average Sales Price of U.S. Coal by State and Disposition, 2013" "(dollars per short ton)" "Coal-Producing State","Open Market1","Captive2","Total3" "Alabama",83.43,"-",88.2 ...

  16. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve Base by Mining Method, 2013" "(million short tons)" ,"Underground - Minable Coal",,,"Surf...

  17. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Capacity utilization is the ratio of total production to annual productive capacity. Excludes refuse recovery and mines producing less than 25,000 short tons, which are not ...

  18. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    8. Average Sales Price of Coal by State and Mine Type, 2013 and 2012" "(dollars per short ton)" ,2013,,,2012,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Un...

  19. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    2. Average Sales Price of Coal by Mine Production Range and Mine Type, 2013" "(dollars per short ton)" "Mine Production Range (thousand short tons)","Underground","Surface","Total"...

  20. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Report No.: DOE/EIA 0218/11" "Report Released: March 17, 2016" "Next Release Date: March 24, 2016" "Weekly U.S. Coal Production Overview" ,"Week Ended",,,"Year to Date1",,,"52 Weeks Ended" "Coal-Producing Region & State","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","%

  1. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    because of independent rounding." "Source: U.S. Department of Labor, Mine Safety and Health Administration, Form 7000-2, 'Quarterly Mine Employment and Coal Production Report.'

  2. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Emission Factors Fuel EIA Fuel Code Source and Tables (As Appropriate) Factor (Pounds of CO2 Per Million Btu)*** Bituminous Coal BIT Source: 1 205.6 Distillate Fuel Oil DFO Source:...

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Net Generation by Energy Source: Electric Utilities, 2004 - 2014 (Thousand ... Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric ...

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3.A. Net Generation by Energy Source: Independent Power Producers, 2004 - 2014 (Thousand ... Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric ...

  5. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    mile. Some structures were designed and then built to carry future transmission circuits in order to handle expected growth in new capability requirements. Lines are taken...

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Revenue and Expense Statistics for U.S. Cooperative Borrower-Owned Electric Utilities, 2003 through 2013 (Million Dollars) Description 2003 2004 2005 2006 2007 2008 Operating...

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Revenue from Retail Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - December 2013 (Million Dollars) Period Residential Commercial Industrial...

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Revenue from Retail Sales of Electricity to Ultimate Customers by Sector, by Provider, 2003 through 2013 (Million Dollars) Year Residential Commercial Industrial Transportation...

  9. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    7. Average Retail Price of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - December 2013 (Cents per Kilowatthour) Period Residential Commercial Industrial...

  10. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    4. Average Retail Price of Electricity to Ultimate Customers by End-Use Sectors 2003 through 2013 (Cents per kilowatthour) Year Residential Commercial Industrial Transportation...

  11. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    9. Demand Response - Program Costs Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Customer Incentives (thousand dollars) 2013 ...

  12. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    8. Demand Response - Yearly Energy and Demand Savings Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Number of Customers ...

  13. SAS Output

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Notes: NERC region and reliability assessment area maps are provided on EIA's Electricity Reliability web page: http:www.eia.govcneafelectricitypageeia411eia411.html Circuit ...

  14. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by...

  15. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    2013 Coal Petroleum Natural Gas Period Average Btu per Pound Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Gallon Average Sulfur Percent by...

  16. SAS Output

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1. Electric Power Industry - Electricity Purchases, 2003 through 2013 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined...

  17. SAS Output

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    2. Electric Power Industry - Electricity Sales for Resale, 2003 through 2013 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers...

  18. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities...

  19. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    D. Coal: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power...

  20. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    A. Natural Gas: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent...

  1. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    A. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities...

  2. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 2013 and 2012 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric...

  3. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    A. Coal: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power...

  4. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    D. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent...

  5. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    A. Landfill Gas: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent...

  6. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    D. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent...

  7. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    D. Landfill Gas: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power...

  8. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    A. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent...

  9. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    D. Natural Gas: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power...

  10. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 2013 and 2012 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors...

  11. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    0. Consumption of Petroleum Liquids for Electricity Generation by State, by Sector,. 2013 and 2012 (Thousand Barrels) Electric Power Sector Census Division and State All Sectors...

  12. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric...

  13. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2013 and 2012 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors...

  14. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    B. U.S. Transformer Sustained Automatic Outage Counts and Hours by High-Voltage Size and NERC Region, 2013 Sustained Automatic Outage Counts High-Side Voltage (kV) Eastern...

  15. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    A. U.S. Transmission Circuit Sustained Automatic Outage Counts and Hours by High-Voltage Size and NERC Region, 2013 Sustained Automatic Outage Counts Voltage Region Type Operating...

  16. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 New England 7,846 7,418 6,277 6,137 3,365 3,292 70 38 17,558 16,885 Connecticut 2,306...

  17. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Change Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 New England 2,917 1,146 155% 726 353 2,163 773 0 0 28 19 Connecticut 320 41 671% 0 0 320...

  18. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    l",,"and","Power1","Industrial",,"and",,,"Change" ,,,,"Institutional",,,,"Institutional" "New England",2791,87,"-","-",1920,81,"-","-",2878,2001,43.8 " Connecticut",419,"-","-","-"...

  19. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Producers Year 2013 Year 2012 Percentage Change Year 2013 Year 2012 Year 2013 Year 2012 New England W 3.59 W 4.21 4.07 W 3.34 Connecticut W W W -- -- W W Maine W W W -- -- W W...

  20. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Change Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0...

  1. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    ","Power1","Industrial",,"and" ,,,,"Institutional",,,,"Institutional",,,,"Institutional" "New England",86.43,"w","-","-",88.32,165.17,"-","-",-2.14,"w","-","-" "...

  2. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    ... Notes: 2007 financial data does not include information on Entergy Gulf State Louisiana LLC and Entergy Texas Inc. as both were not reported on the FERC Form for that year. Missing ...

  3. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    5. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Industrial Sector by State, 2013 Bituminous Subbituminous Lignite Census Division and State Receipts...

  4. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived ... Facilities Estimated Distributed Solar Photovoltaic Generation Estimated Total Solar ...

  5. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    at Utility Scale Facilities Estimated Distributed Solar Photovoltaic Generation Estimated Total Solar Photovoltaic Generation Estimated Total Solar Generation Annual Totals ...

  6. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    NA 64,400 5,305 304 -- 70,009 2009 NA NA NA NA NA 88,205 7,365 919 -- 96,489 Photovoltaic 2010 697.890 517.861 243.051 -- 1,458.802 137,618 11,897 1,225 -- 150,740 2011 ...

  7. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    78,792.9 79,677.3 79,090.6 Wind 1,032 65,300.1 64,231.5 64,325.1 Solar Thermal and Photovoltaic 1,249 10,437.7 10,323.3 10,167.4 Wood and Wood-Derived Fuels 366 9,524.4 8,368.1 ...

  8. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    8. Net Generation from Petroleum Liquids by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  9. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    3. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Independent Power Producers by State, 2013 Bituminous Subbituminous Lignite Census Division and State...

  10. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    7. Net Generation from Coal by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent...

  11. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    1. Net Generation from Other Gases by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  12. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    9. Net Generation from Petroleum Coke by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  13. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    0. Net Generation from Natural Gas by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  14. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    " Montgomery",1,5565,"-","-",1,5565 " Perry",1,3176,3,495,4,3671 " ... " Ohio",2,3153,5,5188,7,8341 " Perry",5,2294,16,4722,21,7016 " ...

  15. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    " Montgomery",1,"w","w" " Perry",4,"w","w" " Randolph",3,"w","w" " ... " Ohio",6,8437,46.2 " Perry",17,5706,65.53 " Pike",50,9218,72.14 " ...

  16. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    9.B. Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Assessment Area, 2013 Actual, 2014-2018 Projected Net...

  17. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    8.B. Summer Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Assessment Area, 2013 Actual, 2014-2018 Projected Net...

  18. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    A. Noncoincident Peak Load by North American Electric Reliability Corporation Assessment Area, 2003 - 2013, Actual Summer Peak Load (Megawatts) Eastern Interconnection ERCOT...

  19. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Reliability web page: http:www.eia.govcneafelectricitypageeia411eia411.html Net Energy for Load represents net Balancing Authority Area generation, plus energy...

  20. SAS Output

    U.S. Energy Information Administration (EIA) Indexed Site

    Reliability web page: http:www.eia.govcneafelectricitypageeia411eia411.html Projected data are updated annually. Net Energy for Load represents net Balancing...

  1. A combined compensation method for the output voltage of an insulated core transformer power supply

    SciTech Connect (OSTI)

    Yang, L.; Yang, J. Liu, K. F.; Qin, B.; Chen, D. Z.

    2014-06-15

    An insulated core transformer (ICT) power supply is an ideal high-voltage generator for irradiation accelerators with energy lower than 3 MeV. However, there is a significant problem that the structure of the segmented cores leads to an increase in the leakage flux and voltage differences between rectifier disks. A high level of consistency in the output of the disks helps to achieve a compact structure by improving the utilization of both the rectifier components and the insulation distances, and consequently increase the output voltage of the power supply. The output voltages of the disks which are far away from the primary coils need to be improved to reduce their inhomogeneity. In this study, by investigating and comparing the existing compensation methods, a new combined compensation method is proposed, which increases the turns on the secondary coils and employs parallel capacitors to improve the consistency of the disks, while covering the entire operating range of the power supply. This method turns out to be both feasible and effective during the development of an ICT power supply. The non-uniformity of the output voltages of the disks is less than 3.5% from no-load to full-load, and the power supply reaches an output specification of 350 kV/60 mA.

  2. System and method for cancelling the effects of stray magnetic fields from the output of a variable reluctance sensor

    DOE Patents [OSTI]

    Chen, Chingchi (Ann Arbor, MI); Degner, Michael W. (Farmington Hills, MI)

    2002-11-19

    A sensor system for sensing a rotation of a sensing wheel is disclosed. The sensor system has a sensing coil in juxtaposition with the sensing wheel. Moreover, the sensing coil has a sensing coil output signal indicative of the rotational speed of the sensing wheel. Further, a cancellation coil is located remotely from the sensing coil and connected in series therewith. Additionally, the cancellation coil has a cancellation coil output signal indicative of an environmental disturbance which is effecting the sensing coil output signal. The cancellation coil output signal operates to cancel the effects of the environmental disturbance on the sensing coil output signal.

  3. High-output microwave detector using voltage-induced ferromagnetic resonance

    SciTech Connect (OSTI)

    Shiota, Yoichi Suzuki, Yoshishige; Miwa, Shinji; Tamaru, Shingo; Nozaki, Takayuki; Kubota, Hitoshi; Fukushima, Akio; Yuasa, Shinji

    2014-11-10

    We investigated the voltage-induced ferromagnetic resonance (FMR) with various DC bias voltage and input RF power in magnetic tunnel junctions. We found that the DC bias monotonically increases the homodyne detection voltage due to the nonlinear FMR originating in an asymmetric magnetization-potential in the free layer. In addition, the linear increase of an output voltage to the input RF power in the voltage-induced FMR is more robust than that in spin-torque FMR. These characteristics enable us to obtain an output voltage more than ten times than that of microwave detectors using spin-transfer torque.

  4. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    PVLibMatlab Permalink Gallery Sandia Labs Releases New Version of PVLib Toolbox Modeling, News, Photovoltaic, Solar Sandia Labs Releases New Version of PVLib Toolbox Sandia has released version 1.3 of PVLib, its widely used Matlab toolbox for modeling photovoltaic (PV) power systems. The version 1.3 release includes the following added functions: functions to estimate parameters for popular PV module models, including PVsyst and the CEC '5 parameter' model a new model of the effects of solar

  5. Development of Regional Wind Resource and Wind Plant Output Datasets for the Hawaiian Islands

    SciTech Connect (OSTI)

    Manobianco, J.; Alonge, C.; Frank, J.; Brower, M.

    2010-07-01

    In March 2009, AWS Truepower was engaged by the National Renewable Energy Laboratory (NREL) to develop a set of wind resource and plant output data for the Hawaiian Islands. The objective of this project was to expand the methods and techniques employed in the Eastern Wind Integration and Transmission Study (EWITS) to include the state of Hawaii.

  6. Soliton quenching NLTL impulse circuit with a pulse forming network at the output

    DOE Patents [OSTI]

    McEwan, T.E.; Dallum, G.E.

    1998-09-08

    An impulse forming circuit is disclosed which produces a clean impulse from a nonlinear transmission line compressed step function without customary soliton ringing by means of a localized pulse shaping and differentiating network which shunts the nonlinear transmission line output to ground. 5 figs.

  7. PHI.VCS.P8.01 VERAOUT - VERA HDF5 Output Specification Andrew...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    HDFView shows the "C" ordering. CASL-U-2014-0043-001 Milestone L3:PHI.VCS.P8.01 8 H5Dump H5Dump produces output consistent with HDFView. H5Dump also uses "C" order when...

  8. Soliton quenching NLTL impulse circuit with a pulse forming network at the output

    DOE Patents [OSTI]

    McEwan, Thomas E. (Livermore, CA); Dallum, Gregory E. (Livermore, CA)

    1998-01-01

    An impulse forming circuit is disclosed which produces a clean impulse from a nonlinear transmission line compressed step function without customary soliton ringing by means of a localized pulse shaping and differentiating network which shunts the nonlinear transmission line output to ground.

  9. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Engine Combustion/Modeling - Modelingadmin2015-10-28T01:54:52+00:00 Modelers at the CRF are developing high-fidelity simulation tools for engine combustion and detailed micro-kinetic, surface chemistry modeling tools for catalyst-based exhaust aftertreatment systems. The engine combustion modeling is focused on developing Large Eddy Simulation (LES). LES is being used with closely coupled key target experiments to reveal new understanding of the fundamental processes involved in engine

  10. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Reacting Flow/Modeling - Modelingadmin2015-10-28T02:39:13+00:00 Turbulence models typically involve coarse-graining and/or time averaging. Though adequate for modeling mean transport, this approach does not address turbulence-microphysics interactions that are important in combustion processes. Subgrid models are developed to represent these interactions. The CRF has developed a fundamentally different representation of these interactions that does not involve distinct coarse-grained and subgrid

  11. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Widespread Hydrogen Fueling Infrastructure Is the Goal of H2FIRST Project Capabilities, Center for Infrastructure Research and Innovation (CIRI), Computational Modeling & Simulation, Energy, Energy Storage, Energy Storage Systems, Facilities, Infrastructure Security, Materials Science, Modeling, Modeling & Analysis, News, News & Events, Partnership, Research & Capabilities, Systems Analysis, Systems Engineering, Transportation Energy Widespread Hydrogen Fueling Infrastructure Is

  12. IR DIAL performance modeling

    SciTech Connect (OSTI)

    Sharlemann, E.T.

    1994-07-01

    We are developing a DIAL performance model for CALIOPE at LLNL. The intent of the model is to provide quick and interactive parameter sensitivity calculations with immediate graphical output. A brief overview of the features of the performance model is given, along with an example of performance calculations for a non-CALIOPE application.

  13. Variable gas spring for matching power output from FPSE to load of refrigerant compressor

    DOE Patents [OSTI]

    Chen, G.; Beale, W.T.

    1990-04-03

    The power output of a free piston Stirling engine is matched to a gas compressor which it drives and its stroke amplitude is made relatively constant as a function of power by connecting a gas spring to the drive linkage from the engine to the compressor. The gas spring is connected to the compressor through a passageway in which a valve is interposed. The valve is linked to the drive linkage so it is opened when the stroke amplitude exceeds a selected limit. This allows compressed gas to enter the spring, increase its spring constant, thus opposing stroke increase and reducing the phase lead of the displacer ahead of the piston to reduce power output and match it to a reduced load power demand. 6 figs.

  14. Spin-on-doping for output power improvement of silicon nanowire array based thermoelectric power generators

    SciTech Connect (OSTI)

    Xu, B. Fobelets, K.

    2014-06-07

    The output power of a silicon nanowire array (NWA)-bulk thermoelectric power generator (TEG) with Cu contacts is improved by spin-on-doping (SOD). The Si NWAs used in this work are fabricated via metal assisted chemical etching (MACE) of 0.010.02 ? cm resistivity n- and p-type bulk, converting ~4% of the bulk thickness into NWs. The MACE process is adapted to ensure crystalline NWs. Current-voltage and Seebeck voltage-temperature measurements show that while SOD mainly influences the contact resistance in bulk, it influences both contact resistance and power factor in NWA-bulk based TEGs. According to our experiments, using Si NWAs in combination with SOD increases the output power by an order of 3 under the same heating power due to an increased power factor, decreased thermal conductivity of the NWA and reduced Si-Cu contact resistance.

  15. Experimental investigation of a relativistic magnetron with diffraction output on a repetitive short pulse generator

    SciTech Connect (OSTI)

    Li, Wei; Zhang, Jun; Zhang, Zi-cheng; Sun, Xiao-liang; Liu, Yong-gui

    2014-04-15

    An experimental investigation of a relativistic Magnetron with Diffraction Output (MDO) on a short voltage pulse generator, which has maximum repetition rate of 100?Hz and plateau of 2.5?ns, is detailed in this paper. Compared to the conversional solid cathode, a direct Density Modulation Cathode is capable for desired microwave radiation. When applied voltage is 200?kV and axial magnetic field is ?0.12?T, the MDO radiates 120?MW of microwave with 2.3?GHz of central frequency. Power conversion efficiency reaches 22%. Pulse duration is 3?ns. At repetition rates of 50?Hz and 100?Hz, output microwave powers range from 90?MW to 120?MW. Life time is up to 10{sup 4} shots.

  16. Double Power Output for GaAs Solar Cells Embedded in Luminescent Waveguides

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Power Output for GaAs Solar Cells Embedded in Luminescent Waveguides Work w as p erformed a t U niversity o f I llinois X. S heng, L . S hen, T . K im, L . L i, X . W ang, R . D owdy, P . F roeter, K . S higeta, X . L i, R.G. N uzzo, N .C. G iebink, a nd J .A. R ogers, A dv. E nergy M ater., i n p ress ( 2013) GaAs cell transfer printed on a free standing LSC with a diffuse BSR separated by an air gap Scientific Achievement Double power output of bifacial thin-film GaAs microscale solar cells is

  17. Variable gas spring for matching power output from FPSE to load of refrigerant compressor

    DOE Patents [OSTI]

    Chen, Gong (Athens, OH); Beale, William T. (Athens, OH)

    1990-01-01

    The power output of a free piston Stirling engine is matched to a gas compressor which it drives and its stroke amplitude is made relatively constant as a function of power by connecting a gas spring to the drive linkage from the engine to the compressor. The gas spring is connected to the compressor through a passageway in which a valve is interposed. The valve is linked to the drive linkage so it is opened when the stroke amplitude exceeds a selected limit. This allows compressed gas to enter the spring, increase its spring constant, thus opposing stroke increase and reducing the phase lead of the displacer ahead of the piston to reduce power output and match it to a reduced load power demand.

  18. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    New Project Is the ACME of Computer Science to Address Climate Change Analysis, Climate, Global Climate & Energy, Modeling, Modeling & Analysis, News, News & Events, Partnership New Project Is the ACME of Computer Science to Address Climate Change Sandia high-performance computing (HPC) researchers are working with DOE and 14 other national laboratories and institutions to develop and apply the most complete climate and Earth system model, to address the most challenging and

  19. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    A rail tank car of the type used to transport crude oil across North America. Recent incidents have raised concerns about the safety of this practice, which the DOE-DOT-sponsored team is investigating. (photo credit: Harvey Henkelmann) Permalink Gallery Expansion of DOE-DOT Tight Oil Research Work Capabilities, Carbon Capture & Storage, Carbon Storage, Energy, Energy Assurance, Energy Assurance, Fuel Options, Infrastructure Assurance, Infrastructure Security, Modeling, Modeling, Modeling

  20. METHOD OF MEASURING THE INTEGRATED ENERGY OUTPUT OF A NEUTRONIC CHAIN REACTOR

    DOE Patents [OSTI]

    Sturm, W.J.

    1958-12-01

    A method is presented for measuring the integrated energy output of a reactor conslsting of the steps of successively irradiating calibrated thin foils of an element, such as gold, which is rendered radioactive by exposure to neutron flux for periods of time not greater than one-fifth the mean life of the induced radioactlvity and producing an indication of the radioactivity induced in each foil, each foil belng introduced into the reactor immediately upon removal of its predecessor.

  1. An accurate system for onsite calibration of electronic transformers with digital output

    SciTech Connect (OSTI)

    Zhi Zhang; Li Hongbin

    2012-06-15

    Calibration systems with digital output are used to replace conventional calibration systems because of principle diversity and characteristics of digital output of electronic transformers. But precision and unpredictable stability limit their onsite application even development. So fully considering the factors influencing accuracy of calibration system and employing simple but reliable structure, an all-digital calibration system with digital output is proposed in this paper. In complicated calibration environments, precision and dynamic range are guaranteed by A/D converter with 24-bit resolution, synchronization error limit is nanosecond by using the novelty synchronization method. In addition, an error correction algorithm based on the differential method by using two-order Hanning convolution window has good inhibition of frequency fluctuation and inter-harmonics interference. To verify the effectiveness, error calibration was carried out in the State Grid Electric Power Research Institute of China and results show that the proposed system can reach the precision class up to 0.05. Actual onsite calibration shows that the system has high accuracy, and is easy to operate with satisfactory stability.

  2. Ota City : characterizing output variability from 553 homes with residential PV systems on a distribution feeder.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Miyamoto, Yusuke; Nakashima, Eichi; Lave, Matthew

    2011-11-01

    This report describes in-depth analysis of photovoltaic (PV) output variability in a high-penetration residential PV installation in the Pal Town neighborhood of Ota City, Japan. Pal Town is a unique test bed of high-penetration PV deployment. A total of 553 homes (approximately 80% of the neighborhood) have grid-connected PV totaling over 2 MW, and all are on a common distribution line. Power output at each house and irradiance at several locations were measured once per second in 2006 and 2007. Analysis of the Ota City data allowed for detailed characterization of distributed PV output variability and a better understanding of how variability scales spatially and temporally. For a highly variable test day, extreme power ramp rates (defined as the 99th percentile) were found to initially decrease with an increase in the number of houses at all timescales, but the reduction became negligible after a certain number of houses. Wavelet analysis resolved the variability reduction due to geographic diversity at various timescales, and the effect of geographic smoothing was found to be much more significant at shorter timescales.

  3. Controlling output pulse and prepulse in a resonant microwave pulse compressor

    SciTech Connect (OSTI)

    Shlapakovski, A.; Artemenko, S.; Chumerin, P.; Yushkov, Yu.

    2013-02-07

    A resonant microwave pulse compressor with a waveguide H-plane-tee-based energy extraction unit was studied in terms of its capability to produce output pulses that comprise a low-power long-duration (prepulse) and a high-power short-duration part. The application of such combined pulses with widely variable prepulse and high-power pulse power and energy ratios is of interest in the research area of electronic hardware vulnerability. The characteristics of output radiation pulses are controlled by the variation of the H-plane tee transition attenuation at the stage of microwave energy storage in the compressor cavity. Results of theoretical estimations of the parameters tuning range and experimental investigations of the prototype S-band compressor (1.5 MW, 12 ns output pulse; {approx}13.2 dB gain) are presented. The achievable maximum in the prepulse power is found to be about half the power of the primary microwave source. It has been shown that the energy of the prepulse becomes comparable with that of the short-duration (nanosecond) pulse, while the power of the latter decreases insignificantly. The possible range of variation of the prepulse power and energy can be as wide as 40 dB. In the experiments, the prepulse level control within the range of {approx}10 dB was demonstrated.

  4. Increasing output power of an 850 MHz tetrode with a floating-deck modulator

    SciTech Connect (OSTI)

    Rees, D.; Friedrichs, C.

    1990-01-01

    Designers of high-power amplifiers generally regard the region above 300 MHz as a domain dominated by velocity-modulated (klystron/TWT) devices. However, as the power requirements diminish, there are attractive alternatives. The high-power 850-MHz requirements of the ground test accelerator (GTA) program can be filled by 1-MW klystrons, but it would be more efficient to use a lower-power device for a 50-kW requirement. To meet the 850-MHz medium-power requirements, Los Alamos National Laboratory is developing an 850-MHz tetrode amplifier. These amplifiers will provide rf power to the momentum compactor and bunch rotator cavities of the GTA. Available tubes provide only a limited safety margin for a low-risk design at the power levels and duty factor required for GTA cavities. At 850 MHz, the output power capability of available tubes is reduced because of transit time effects and limited anode voltage holdoff. Pulsing the anode of the output tetrode amplifier will allow higher output power with minimum design risk. A floating-deck modulator acts as a high-voltage/high-current switch, so voltage is applied to the anode of the gridded tube only during the rf pulse. The anode voltage holdoff capability of the tube is substantially enhanced by operating in this mode. This paper will describe the design of the floating deck modulator and its impact on the design risk of the 850-MHz tetrode amplifier.

  5. High Resolution Atmospheric Modeling for Wind Energy Applications

    SciTech Connect (OSTI)

    Simpson, M; Bulaevskaya, V; Glascoe, L; Singer, M

    2010-03-18

    The ability of the WRF atmospheric model to forecast wind speed over the Nysted wind park was investigated as a function of time. It was found that in the time period we considered (August 1-19, 2008), the model is able to predict wind speeds reasonably accurately for 48 hours ahead, but that its forecast skill deteriorates rapidly after 48 hours. In addition, a preliminary analysis was carried out to investigate the impact of vertical grid resolution on the forecast skill. Our preliminary finding is that increasing vertical grid resolution does not have a significant impact on the forecast skill of the WRF model over Nysted wind park during the period we considered. Additional simulations during this period, as well as during other time periods, will be run in order to validate the results presented here. Wind speed is a difficult parameter to forecast due the interaction of large and small length scale forcing. To accurately forecast the wind speed at a given location, the model must correctly forecast the movement and strength of synoptic systems, as well as the local influence of topography / land use on the wind speed. For example, small deviations in the forecast track or strength of a large-scale low pressure system can result in significant forecast errors for local wind speeds. The purpose of this study is to provide a preliminary baseline of a high-resolution limited area model forecast performance against observations from the Nysted wind park. Validating the numerical weather prediction model performance for past forecasts will give a reasonable measure of expected forecast skill over the Nysted wind park. Also, since the Nysted Wind Park is over water and some distance from the influence of terrain, the impact of high vertical grid spacing for wind speed forecast skill will also be investigated.

  6. Operational forecasting based on a modified Weather Research and Forecasting model

    SciTech Connect (OSTI)

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18

    Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

  7. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    in warm dense matter experiments with diffuse interface methods in the ALE-AMR code Wangyi Liu ∗ , John Barnard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder † August 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid

  8. DRI Model of the U.S. Economy -- Model Documentation:

    Reports and Publications (EIA)

    1993-01-01

    Provides documentation on Data Resources, Inc., DRI Model of the U.S. Economy and the DRI Personal Computer Input/Output Model. It also describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations.

  9. modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

  10. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NASA Earth at Night Video EC, Energy, Energy Efficiency, Global, Modeling, News & Events, Solid-State Lighting, Videos NASA Earth at Night Video Have you ever wondered what the Earth looks like at night? NASA provides a clear, cloud-free view of the Earth at night using the Suomi National Polar-orbiting Partnership Satellite. The satellite utilizes an instrument known as the Visible Infrared Radiometer Suite (VIIRS), which allows the satellite to capture images of a "remarkably detailed

  11. Modeling

    SciTech Connect (OSTI)

    Loth, E.; Tryggvason, G.; Tsuji, Y.; Elghobashi, S. E.; Crowe, Clayton T.; Berlemont, A.; Reeks, M.; Simonin, O.; Frank, Th; Onishi, Yasuo; Van Wachem, B.

    2005-09-01

    Slurry flows occur in many circumstances, including chemical manufacturing processes, pipeline transfer of coal, sand, and minerals; mud flows; and disposal of dredged materials. In this section we discuss slurry flow applications related to radioactive waste management. The Hanford tank waste solids and interstitial liquids will be mixed to form a slurry so it can be pumped out for retrieval and treatment. The waste is very complex chemically and physically. The ARIEL code is used to model the chemical interactions and fluid dynamics of the waste.

  12. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    diffuse interface methods in ALE-AMR code with application in modeling NDCX-II experiments Wangyi Liu 1 , John Barnard 2 , Alex Friedman 2 , Nathan Masters 2 , Aaron Fisher 2 , Alice Koniges 2 , David Eder 2 1 LBNL, USA, 2 LLNL, USA This work was part of the Petascale Initiative in Computational Science at NERSC, supported by the Director, Office of Science, Advanced Scientific Computing Research, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This work was performed

  13. A 30 MW, 200 MHz Inductive Output Tube for RF Accelerators

    SciTech Connect (OSTI)

    R. Lawrence Ives; Michael Read

    2008-06-19

    This program investigated development of a multiple beam inductive output tube (IOT) to produce 30 MW pulses at 200 MHz. The program was successful in demonstrating feasibility of developing the source to achieve the desired power in microsecond pulses with 70% efficiency. The predicted gain of the device is 24 dB. Consequently, a 200 kW driver would be required for the RF input. Estimated cost of this driver is approximately $1.25 M. Given the estimated development cost of the IOT of approximately $750K and the requirements for a test set that would significantly increase the cost, it was determined that development could not be achieved within the funding constraints of a Phase II program.

  14. A 350 MHz, 200 kW CW, Multiple Beam Inductive Output Tube - Final Report

    SciTech Connect (OSTI)

    R.Lawrece Ives; George Collins; David Marsden Michael Read; Edward Eisen; Takuchi Kamura, Philipp Borchard

    2012-11-28

    This program developed a 200 kW CW, 350 MHz, multiple beam inductive output tube (MBIOT) for driving accelerator cavities. The MBIOT operates at 30 kV with a gain of 23 dB. The estimated efficiency is 70%. The device uses seven electron beams, each transmitting 1.4 A of current. The tube is approximately six feet long and weighs approximately 400 lbs. The prototype device will be evaluated as a potential RF source for the Advanced Photon Source at Argonne National Laboratory (ANL). Because of issues related to delivery of the electron guns, it was not possible to complete assembly and test of the MBIOT during the Phase II program. The device is being completed with support from Calabazas Creek Research, Inc., Communications & Power Industries, LLC. and the Naval Surface Weapons Center (NSWC) in Dahlgren, VA. The MBIOT will be initially tested at NSWC before delivery to ANL. The testing at NSWC is scheduled for February 2013.

  15. OSPREY Model

    SciTech Connect (OSTI)

    Veronica J. Rutledge

    2013-01-01

    The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.

  16. Dynamic cable analysis models

    SciTech Connect (OSTI)

    Palo, P.A.; Meggitt, D.J.; Nordell, W.J.

    1983-05-01

    This paper presents a summary of the development and validation of undersea cable dynamics computer models by the Naval Civil Engineering Laboratory (NCEL) under the sponsorship of the Naval Facilities Engineering Command. These models allow for the analysis of both small displacement (strumming) and large displacement (static and dynamic) deformations of arbitrarily configured cable structures. All of the large displacement models described in this paper are available to the public. This paper does not emphasize the theoretical development of the models (this information is available in other references) but emphasizes the various features of the models, the comparisons between model output and experimental data, and applications for which the models have been used.

  17. NREL: Jobs and Economic Development Impact (JEDI) Models - Limitations of

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    JEDI Models Limitations of JEDI Models Results are an estimate, not a precise forecast. The Jobs and Economic Development Impact (JEDI) models are input-output based models, also appropriately called calculators or screening tools. As such, they share important limitations with all models based on input-output calculation methodologies. For the interested user, the Environmental Protection Agency recently published EPA Assessing the Multiple Benefits of Clean Energy: A Resource for States1,

  18. A practical and theoretical definition of very small field size for radiotherapy output factor measurements

    SciTech Connect (OSTI)

    Charles, P. H. Crowe, S. B.; Langton, C. M.; Trapp, J. V.; Cranmer-Sargison, G.; Thwaites, D. I.; Kairn, T.; Knight, R. T.; Kenny, J.

    2014-04-15

    Purpose: This work introduces the concept of very small field size. Output factor (OPF) measurements at these field sizes require extremely careful experimental methodology including the measurement of dosimetric field size at the same time as each OPF measurement. Two quantifiable scientific definitions of the threshold of very small field size are presented. Methods: A practical definition was established by quantifying the effect that a 1 mm error in field size or detector position had on OPFs and setting acceptable uncertainties on OPF at 1%. Alternatively, for a theoretical definition of very small field size, the OPFs were separated into additional factors to investigate the specific effects of lateral electronic disequilibrium, photon scatter in the phantom, and source occlusion. The dominant effect was established and formed the basis of a theoretical definition of very small fields. Each factor was obtained using Monte Carlo simulations of a Varian iX linear accelerator for various square field sizes of side length from 4 to 100 mm, using a nominal photon energy of 6 MV. Results: According to the practical definition established in this project, field sizes ?15 mm were considered to be very small for 6 MV beams for maximal field size uncertainties of 1 mm. If the acceptable uncertainty in the OPF was increased from 1.0% to 2.0%, or field size uncertainties are 0.5 mm, field sizes ?12 mm were considered to be very small. Lateral electronic disequilibrium in the phantom was the dominant cause of change in OPF at very small field sizes. Thus the theoretical definition of very small field size coincided to the field size at which lateral electronic disequilibrium clearly caused a greater change in OPF than any other effects. This was found to occur at field sizes ?12 mm. Source occlusion also caused a large change in OPF for field sizes ?8 mm. Based on the results of this study, field sizes ?12 mm were considered to be theoretically very small for 6 MV beams. Conclusions: Extremely careful experimental methodology including the measurement of dosimetric field size at the same time as output factor measurement for each field size setting and also very precise detector alignment is required at field sizes at least ?12 mm and more conservatively?15 mm for 6 MV beams. These recommendations should be applied in addition to all the usual considerations for small field dosimetry, including careful detector selection.

  19. High-Resolution Modeling to Assess Tropical Cyclone Activity in Future Climate Regimes

    SciTech Connect (OSTI)

    Lackmann, Gary

    2013-06-10

    Applied research is proposed with the following objectives: (i) to determine the most likely level of tropical cyclone intensity and frequency in future climate regimes, (ii) to provide a quantitative measure of uncertainty in these predictions, and (iii) to improve understanding of the linkage between tropical cyclones and the planetary-scale circulation. Current mesoscale weather forecasting models, such as the Weather Research and Forecasting (WRF) model, are capable of simulating the full intensity of tropical cyclones (TC) with realistic structures. However, in order to accurately represent both the primary and secondary circulations in these systems, model simulations must be configured with sufficient resolution to explicitly represent convection (omitting the convective parameterization scheme). Most previous numerical studies of TC activity at seasonal and longer time scales have not utilized such explicit convection (EC) model runs. Here, we propose to employ the moving nest capability of WRF to optimally represent TC activity on a seasonal scale using a downscaling approach. The statistical results of a suite of these high-resolution TC simulations will yield a realistic representation of TC intensity on a seasonal basis, while at the same time allowing analysis of the feedback that TCs exert on the larger-scale climate system. Experiments will be driven with analyzed lateral boundary conditions for several recent Atlantic seasons, spanning a range of activity levels and TC track patterns. Results of the ensemble of WRF simulations will then be compared to analyzed TC data in order to determine the extent to which this modeling setup can reproduce recent levels of TC activity. Next, the boundary conditions (sea-surface temperature, tropopause height, and thermal/moisture profiles) from the recent seasons will be altered in a manner consistent with various future GCM/RCM scenarios, but that preserves the large-scale shear and incipient disturbance activity. This will allow (i) a direct comparison of future TC activity that could be expected for an active or inactive season in an altered climate regime, and (ii) a measure of the level of uncertainty and variability in TC activity resulting from different carbon emission scenarios.

  20. Stirling converters for space dynamic power concepts with 2 to 130 W{sub e} output

    SciTech Connect (OSTI)

    Ross, B.A.

    1995-12-31

    Three innovative Stirling converter concepts are described. Two concepts are based on Pluto Fast Flyby (PFF) mission requirements, where two General Purpose Heat Source (GPHS) modules provide the thermal input. The first concept (PFF2) considers a power system with two opposed Stirling converters; the second concept (PFF4) considers four opposed Stirling converters. For both concepts the Stirling converters are designed to vary their power production capability to compensate for the failure of one Stirling converter. While the net thermal efficiency of PFF4 is a few percentage points lower than PFF2, the total Stirling converter mass of PFF4 is half that for PFF2. The third concept (ITTI) is designed to supply 2 watts of power for weather stations on the Martian surface. The predicted thermal performance of the ITTI is low compared to PFF2 and PFF4, yet the ITTI concept offers significant advantages compared to currently available power systems at the 2-watt power level. All three concepts are based on long-life technology demonstrated by an 11-watt output Stirling generator that as of March 1995 has accumulated over 15,000 operating hours without maintenance.

  1. Performance of improved magnetostrictive vibrational power generator, simple and high power output for practical applications

    SciTech Connect (OSTI)

    Ueno, Toshiyuki

    2015-05-07

    Vibration based power generation technology is utilized effectively in various fields. Author has invented novel vibrational power generation device using magnetostrictive material. The device is based on parallel beam structure consisting of a rod of iron-gallium alloy wound with coil and yoke accompanied with permanent magnet. When bending force is applied on the tip of the device, the magnetization inside the rod varies with induced stress due to the inverse magnetostrictive effect. In vibration, the time variation of the magnetization generates voltage on the wound coil. The magnetostrictive type is advantageous over conventional such using piezoelectric or moving magnet types in high efficiency and high robustness, and low electrical impedance. Here, author has established device configuration, simple, rigid, and high power output endurable for practical applications. In addition, the improved device is lower cost using less volume of Fe-Ga and permanent magnet compared to our conventional, and its assembly by soldering is easy and fast suitable for mass production. Average power of 3 mW/cm{sup 3} under resonant vibration of 212?Hz and 1.2?G was obtained in miniature prototype using Fe-Ga rod of 2 0.5 7?mm{sup 3}. Furthermore, the damping effect was observed, which demonstrates high energy conversion of the generator.

  2. Output Performance and Payback Analysis of a Residential Photovoltaic System in Colorado: Preprint

    SciTech Connect (OSTI)

    Johnston, S.

    2012-06-01

    Cost of installation and ownership of a 9.66-kilowatt (kW) residential photovoltaic system is described, and the performance of this system over the past 3 years is shown. The system is located in Colorado at 40 degrees latitude and consists of arrays on two structures. Two arrays are installed on a detached garage, and these are each composed of 18 Kyocera 130-W modules strung in series facing south at an angle of 40 degrees above horizontal. Each 18-panel array feeds into a Xantrex/Schneider Electric 2.8-kW inverter. The other two arrays are installed on the house and face south at an angle of 30 degrees. One of these arrays has twelve 205-W Kyocera panels in series, and the other is made up of twelve 210-Kyocera panels. Each of these arrays feeds into Xantrex/Schneider Electric 3.3-kW inverters. Although there are various shading issues from trees and utility poles and lines, the overall output resembles that which is expected from PVWatts, a solar estimate program. The array cost, which was offset by rebates from the utility company and federal tax credits, was $1.17 per watt. Considering measured system performance, the estimated payback time of the system is 9 years.

  3. Input-output relations at dispersing and absorbing planar multilayers for the quantized electromagnetic field containing evanescent components

    SciTech Connect (OSTI)

    Khanbekyan, Mikayel; Knoell, Ludwig; Welsch, Dirk-Gunnar

    2003-06-01

    By using the Green-function concept of quantization of the electromagnetic field in dispersing and absorbing media, the quantized field in the presence of a dispersing and absorbing dielectric multilayer plate is studied. Three-dimensional input-output relations are derived for both amplitude operators in the k space and the field operators in the coordinate space. The conditions are discussed, under which the input-output relations can be expressed in terms of bosonic operators. The theory applies to both (effectively) free fields and fields, created by active atomic sources inside and/or outside the plate, including also evanescent-field components.

  4. ARM - Evaluation Product - Aerosol Modeling Testbed

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and satellite aerosol optical depth data is included to supplement and enhance the value of the CARES data. The software that is provided in AMT extracts model output from...

  5. PV output smoothing using a battery and natural gas engine-generator.

    SciTech Connect (OSTI)

    Johnson, Jay; Ellis, Abraham; Denda, Atsushi; Morino, Kimio; Shinji, Takao; Ogata, Takao; Tadokoro, Masayuki

    2013-02-01

    In some situations involving weak grids or high penetration scenarios, the variability of photovoltaic systems can affect the local electrical grid. In order to mitigate destabilizing effects of power fluctuations, an energy storage device or other controllable generation or load can be used. This paper describes the development of a controller for coordinated operation of a small gas engine-generator set (genset) and a battery for smoothing PV plant output. There are a number of benefits derived from using a traditional generation resource in combination with the battery; the variability of the photovoltaic system can be reduced to a specific level with a smaller battery and Power Conditioning System (PCS) and the lifetime of the battery can be extended. The controller was designed specifically for a PV/energy storage project (Prosperity) and a gas engine-generator (Mesa Del Sol) currently operating on the same feeder in Albuquerque, New Mexico. A number of smoothing simulations of the Prosperity PV were conducted using power data collected from the site. By adjusting the control parameters, tradeoffs between battery use and ramp rates could be tuned. A cost function was created to optimize the control in order to balance, in this example, the need to have low ramp rates with reducing battery size and operation. Simulations were performed for cases with only a genset or battery, and with and without coordinated control between the genset and battery, e.g., without the communication link between sites or during a communication failure. The degree of smoothing without coordinated control did not change significantly because the battery dominated the smoothing response. It is anticipated that this work will be followed by a field demonstration in the near future.

  6. Gamma-ray Output Spectra from 239 Pu Fission

    SciTech Connect (OSTI)

    Ullmann, John

    2015-05-25

    Gamma-ray multiplicities, individual gamma-ray energy spectra, and total gamma energy spectra following neutron-induced fission of 239Pu were measured using the DANCE detector at Los Alamos. Corrections for detector response were made using a forward-modeling technique based on propagating sets of gamma rays generated from a paramaterized model through a GEANT model of the DANCE array and adjusting the parameters for best fit to the measured spectra. The results for the gamma-ray spectrum and multiplicity are in general agreement with previous results, but the measured total gamma-ray energy is about 10% higher. A dependence of the gamma-ray spectrum on the gamma-ray multplicity was also observed. Global model calculations of the multiplicity and gamma energy distributions are in good agreement with the data, but predict a slightly softer total-energy distribution.

  7. Development of hybrid 3-D hydrological modeling for the NCAR Community Earth System Model (CESM)

    SciTech Connect (OSTI)

    Zeng, Xubin; Troch, Peter; Pelletier, Jon; Niu, Guo-Yue; Gochis, David

    2015-11-15

    This is the Final Report of our four-year (3-year plus one-year no cost extension) collaborative project between the University of Arizona (UA) and the National Center for Atmospheric Research (NCAR). The overall objective of our project is to develop and evaluate the first hybrid 3-D hydrological model with a horizontal grid spacing of 1 km for the NCAR Community Earth System Model (CESM). We have made substantial progress in model development and evaluation, computational efficiencies and software engineering, and data development and evaluation, as discussed in Sections 2-4. Section 5 presents our success in data dissemination, while Section 6 discusses the scientific impacts of our work. Section 7 discusses education and mentoring success of our project, while Section 8 lists our relevant DOE services. All peer-reviewed papers that acknowledged this project are listed in Section 9. Highlights of our achievements include: • We have finished 20 papers (most published already) on model development and evaluation, computational efficiencies and software engineering, and data development and evaluation • The global datasets developed under this project have been permanently archived and publicly available • Some of our research results have already been implemented in WRF and CLM • Patrick Broxton and Michael Brunke have received their Ph.D. • PI Zeng has served on DOE proposal review panels and DOE lab scientific focus area (SFA) review panels

  8. Electrical Power Grid Delivery Dynamic Analysis: Using Prime Mover Engines to Balance Dynamic Wind Turbine Output

    SciTech Connect (OSTI)

    Diana K. Grauer; Michael E. Reed

    2011-11-01

    This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy.

  9. US-CERT Control System Center Input/Output (I/O) Conceputal Design

    SciTech Connect (OSTI)

    Not Available

    2005-02-01

    This document was prepared for the US-CERT Control Systems Center of the National Cyber Security Division (NCSD) of the Department of Homeland Security (DHS). DHS has been tasked under the Homeland Security Act of 2002 to coordinate the overall national effort to enhance the protection of the national critical infrastructure. Homeland Security Presidential Directive HSPD-7 directs the federal departments to identify and prioritize critical infrastructure and protect it from terrorist attack. The US-CERT National Strategy for Control Systems Security was prepared by the NCSD to address the control system security component addressed in the National Strategy to Secure Cyberspace and the National Strategy for the Physical Protection of Critical Infrastructures and Key Assets. The US-CERT National Strategy for Control Systems Security identified five high-level strategic goals for improving cyber security of control systems; the I/O upgrade described in this document supports these goals. The vulnerability assessment Test Bed, located in the Information Operations Research Center (IORC) facility at Idaho National Laboratory (INL), consists of a cyber test facility integrated with multiple test beds that simulate the nation's critical infrastructure. The fundamental mission of the Test Bed is to provide industry owner/operators, system vendors, and multi-agency partners of the INL National Security Division a platform for vulnerability assessments of control systems. The Input/Output (I/O) upgrade to the Test Bed (see Work Package 3.1 of the FY-05 Annual Work Plan) will provide for the expansion of assessment capabilities within the IORC facility. It will also provide capabilities to connect test beds within the Test Range and other Laboratory resources. This will allow real time I/O data input and communication channels for full replications of control systems (Process Control Systems [PCS], Supervisory Control and Data Acquisition Systems [SCADA], and components). This will be accomplished through the design and implementation of a modular infrastructure of control system, communications, networking, computing and associated equipment, and measurement/control devices. The architecture upgrade will provide a flexible patching system providing a quick ''plug and play''configuration through various communication paths to gain access to live I/O running over specific protocols. This will allow for in-depth assessments of control systems in a true-to-life environment. The full I/O upgrade will be completed through a two-phased approach. Phase I, funded by DHS, expands the capabilities of the Test Bed by developing an operational control system in two functional areas, the Science & Technology Applications Research (STAR) Facility and the expansion of various portions of the Test Bed. Phase II (see Appendix A), funded by other programs, will complete the full I/O upgrade to the facility.

  10. Photovoltaic System Modeling. Uncertainty and Sensitivity Analyses

    SciTech Connect (OSTI)

    Hansen, Clifford W.; Martin, Curtis E.

    2015-08-01

    We report an uncertainty and sensitivity analysis for modeling AC energy from ph otovoltaic systems . Output from a PV system is predicted by a sequence of models. We quantify u ncertainty i n the output of each model using empirical distribution s of each model's residuals. We propagate uncertainty through the sequence of models by sampli ng these distributions to obtain a n empirical distribution of a PV system's output. We consider models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane - of - array irradiance; (2) estimate effective irradiance; (3) predict cell temperature; (4) estimate DC voltage, current and power ; (5) reduce DC power for losses due to inefficient maximum power point tracking or mismatch among modules; and (6) convert DC to AC power . O ur analysis consider s a notional PV system com prising an array of FirstSolar FS - 387 modules and a 250 kW AC inverter ; we use measured irradiance and weather at Albuquerque, NM. We found the uncertainty in PV syste m output to be relatively small, on the order of 1% for daily energy. We found that unce rtainty in the models for POA irradiance and effective irradiance to be the dominant contributors to uncertainty in predicted daily energy. Our analysis indicates that efforts to reduce the uncertainty in PV system output predictions may yield the greatest improvements by focusing on the POA and effective irradiance models.

  11. Edge-facet pumped, multi-aperture, thin-disk laser geometry for very high average power output scaling

    DOE Patents [OSTI]

    Zapata, Luis E.

    2004-12-21

    The average power output of a laser is scaled, to first order, by increasing the transverse dimension of the gain medium while increasing the thickness of an index matched light guide proportionately. Strategic facets cut at the edges of the laminated gain medium provide a method by which the pump light introduced through edges of the composite structure is trapped and passes through the gain medium repeatedly. Spontaneous emission escapes the laser volume via these facets. A multi-faceted disk geometry with grooves cut into the thickness of the gain medium is optimized to passively reject spontaneous emission generated within the laser material, which would otherwise be trapped and amplified within the high index composite disk. Such geometry allows the useful size of the laser aperture to be increased, enabling the average laser output power to be scaled.

  12. Method for optimizing output in ultrashort-pulse multipass laser amplifiers with selective use of a spectral filter

    DOE Patents [OSTI]

    Backus, Sterling J. (Erie, CO); Kapteyn, Henry C. (Boulder, CO)

    2007-07-10

    A method for optimizing multipass laser amplifier output utilizes a spectral filter in early passes but not in later passes. The pulses shift position slightly for each pass through the amplifier, and the filter is placed such that early passes intersect the filter while later passes bypass it. The filter position may be adjust offline in order to adjust the number of passes in each category. The filter may be optimized for use in a cryogenic amplifier.

  13. Measurement of relative output factors for the 8 and 4 mm collimators of Leksell Gamma Knife Perfexion by film dosimetry

    SciTech Connect (OSTI)

    Novotny, Josef Jr.; Bhatnagar, Jagdish P.; Quader, Mubina A.; Bednarz, Greg; Lunsford, L. Dade; Huq, M. Saiful

    2009-05-15

    Three types of films, Kodak EDR2, Gafchromic EBT, and Gafchromic MD-V2-55, were used to measure relative output factors of 4 and 8 mm collimators of the Leksell Gamma Knife Perfexion. The optical density to dose calibration curve for each of the film types was obtained by exposing the films to a range of known doses. Ten data points were acquired for each of the calibration curves in the dose ranges from 0 to 4 Gy, 0 to 8 Gy, and 0 to 80 Gy for Kodak EDR2, Gafchromic EBT, and Gafchromic MD-V2-55 films, respectively. For the measurement of relative output factors, five films of each film type were exposed to a known dose. All films were scanned using EPSON EXPRESSION 10000 XL scanner with 200 dpi resolution in 16 bit gray scale for EDR2 film and 48 bit color scale for Gafchromic films. The scanned images were imported in the red channel for both Gafchromic films. The background corrections from an unexposed film were applied to all films. The output factors obtained from film measurements were in a close agreement both with the Monte Carlo calculated values of 0.924 and 0.805 for 8 and 4 mm collimators, respectively. These values are provided by the vendor and used as default values in the vendor's treatment planning system. The largest differences were noted for the Kodak EDR 2 films (-2.1% and -4.5% for 8 and 4 mm collimators, respectively). The best agreement observed was for EBT Gafchromic film (-0.8% and +0.6% differences for 8 and 4 mm collimators, respectively). Based on the present values, no changes in the default relative output factor values were made in the treatment planning system.

  14. Nd:YAG pulsed laser output at 1. 064, 1. 073, 1. 061 and 1. 052 micrometers singlet spectral lines

    SciTech Connect (OSTI)

    Not Available

    1981-11-01

    Single spectral lines at 1.064, 1.073, 1.061, and 1.052 micron were obtained respectively by inserting into the cavity the uncoated (or coated) solid etalons of 0.1 mm or both 0.1 mm and 0.14 mm thickness and appropriately controlling the gain of Nd:YAG laser and tilted angles of the etalons. An output cavity mirror which has different reflectivities for different wavelengths was also developed.

  15. Update to industrial drivers in the AEO2015 as a result of new input-output data

    Gasoline and Diesel Fuel Update (EIA)

    Update to industrial drivers in the AEO2015 as a result of new input-output data Elizabeth Sendich May 4, 2015 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES April 2015 Elizabeth Sendich | U.S. Energy

  16. Enhancing photovoltaic output power by 3-band spectrum-splitting and concentration using a diffractive micro-optic

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Mohammad, Nabil; Wang, Peng; Friedman, Daniel J.; Menon, Rajesh

    2014-09-17

    We report the enhancement of photovoltaic output power by separating the incident spectrum into 3 bands, and concentrating these bands onto 3 different photovoltaic cells. The spectrum-splitting and concentration is achieved via a thin, planar micro-optical element that demonstrates high optical efficiency over the entire spectrum of interest. The optic (which we call a polychromat) was designed using a modified version of the direct-binary-search algorithm. The polychromat was fabricated using grayscale lithography. Rigorous optical characterization demonstrates excellent agreement with simulation results. Electrical characterization of the solar cells made from GaInP, GaAs and Si indicate increase in the peak output powermore » density of 43.63%, 30.84% and 30.86%, respectively when compared to normal operation without the polychromat. This represents an overall increase of 35.52% in output power density. As a result, the potential for cost-effective large-area manufacturing and for high system efficiencies makes our approach a strong candidate for low cost solar power.« less

  17. Method And Aparatus For Improving Resolution In Spectrometers Processing Output Steps From Non-Ideal Signal Sources

    DOE Patents [OSTI]

    Warburton, William K. (1300 Mills St., Menlo Park, CA 94025); Momayezi, Michael (San Francisco, CA)

    2003-07-01

    A method and apparatus for processing step-like output signals generated by non-ideal, nominally single-pole ("N-1P") devices responding to possibly time-varying, pulse-like input signals of finite duration, wherein the goal is to recover the integrated areas of the input signals. Particular applications include processing step-like signals generated by detector systems in response to absorbed radiation or particles and, more particularly, to digitally processing such step-like signals in high resolution, high rate gamma ray (.gamma.-ray) spectrometers with resistive feedback preamplifiers connected to large volume germanium detectors. Superconducting bolometers can be similarly treated. The method comprises attaching a set of one or more filters to the device's (e.g., preamplifier's) output, capturing a correlated multiple output sample from the filter set in response to a detected event, and forming a weighted sum of the sample values to accurately recover the total area (e.g., charge) of the detected event.

  18. Develop the dual fuel conversion system for high output, medium speed diesel engines. Final report

    SciTech Connect (OSTI)

    1998-07-16

    The original plan for the project involved design modifications to an existing system to enhance its performance and increase the limit of power that was achieved by the original design and to apply the higher performance product to the full sized engine and test its performance. The new system would also be applied to a different engine model. The specific work would include the redesign of gas injectors, piston configurations and two types of igniters, engine instrumentation, monitoring and testing.

  19. Model documentation natural gas transmission and distribution model (NGTDM) of the national energy modeling system. Volume II: Model developer`s report

    SciTech Connect (OSTI)

    Not Available

    1995-01-03

    To partially fulfill the requirements for {open_quotes}Model Acceptance{close_quotes} as stipulated in EIA Standard 91-01-01 (effective February 3, 1991), the Office of Integrated Analysis and Forecasting has conducted tests of the Natural Gas Transmission and Distribution Model (NGTDM) for the specific purpose of validating the forecasting model. This volume of the model documentation presents the results of {open_quotes}one-at-a-time{close_quotes} sensitivity tests conducted in support of this validation effort. The test results are presented in the following forms: (1) Tables of important model outputs for the years 2000 and 2010 are presented with respect to change in each input from the reference case; (2) Tables of percent changes from base case results for the years 2000 and 2010 are presented for important model outputs; (3) Tables of conditional sensitivities (percent change in output/percent change in input) for the years 2000 and 2010 are presented for important model outputs; (4) Finally, graphs presenting the percent change from base case results for each year of the forecast period are presented for selected key outputs. To conduct the sensitivity tests, two main assumptions are made in order to test the performance characteristics of the model itself and facilitate the understanding of the effects of the changes in the key input variables to the model on the selected key output variables: (1) responses to the amount demanded do not occur since there are no feedbacks of inputs from other NEMS models in the stand-alone NGTDM run. (2) All the export and import quantities from and to Canada and Mexico, and liquefied natural gas (LNG) imports and exports are held fixed (i.e., there are no changes in imports and exports between the reference case and the sensitivity cases) throughout the forecast period.

  20. New constraints in absorptive capacity and the optimum rate of petroleum output

    SciTech Connect (OSTI)

    El Mallakh, R

    1980-01-01

    Economic policy in four oil-producing countries is analyzed within a framework that combines a qualitative assessment of the policy-making process with an empirical formulation based on historical and current trends in these countries. The concept of absorptive capacity is used to analyze the optimum rates of petroleum production in Iran, Iraq, Saudi Arabia, and Kuwait. A control solution with an econometric model is developed which is then modified for alternative development strategies based on analysis of factors influencing production decisions. The study shows the consistencies and inconsistencies between the goals of economic growth, oil production, and exports, and the constraints on economic development. Simulation experiments incorporated a number of the constraints on absorptive capacity. Impact of other constraints such as income distribution and political stability is considered qualitatively. (DLC)

  1. Waveguide CO{sub 2} laser with a quasi-homogeneous distribution of the output radiation intensity

    SciTech Connect (OSTI)

    Vlasenko, S A; Gurin, O V; Degtyarev, A V; Maslov, Vyacheslav A; Svich, V A; Topkov, A N

    2013-05-31

    An experimental sample of a waveguide CO{sub 2} laser with a quasi-uniform profile of the output radiation intensity is designed on the basis of a waveguide quasi-optical cavity of a new type comprising the generic confocal cavity with a nonuniform mirror and the hollow waveguide with the dimensions satisfying the conditions for self-imaging the quasi-uniform field. The surface of the mirror has the discrete large-scale absorbing nonuniformities. Results of theoretical and experimental investigations of spatial-energy characteristics of the laser in using uniform or amplitude-stepped reflecting mirrors are presented. (lasers)

  2. U.S. crude oil production expected to top 8 million barrels per day, highest output since 1988

    Gasoline and Diesel Fuel Update (EIA)

    U.S. crude oil production expected to top 8 million barrels per day, highest output since 1988 U.S. crude oil production in 2014 is now expected to top 8 million barrels per day for the first time in over a quarter century. The U.S. Energy Information Administration boosted its forecast for daily crude oil production this year by 120,000 barrels to 7.4 million barrels per day. For 2014, EIA's forecast for daily production was revised upward by 310,000 barrels to nearly 8.2 million barrels per

  3. Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Cui, Yu Yan; Brioude, Jerome; McKeen, Stuart A.; Angevine, Wayne M.; Kim, Si -Wan; Frost, Gregory J.; Ahmadov, Ravan; Peischl, Jeff; Bousserez, Nicolas; Liu, Zhen; et al

    2015-07-28

    Methane (CH4) is the primary component of natural gas and has a larger global warming potential than CO2. Some recent top-down studies based on observations showed CH4 emissions in California's South Coast Air Basin (SoCAB) were greater than those expected from population-apportioned bottom-up state inventories. In this study, we quantify CH4 emissions with an advanced mesoscale inverse modeling system at a resolution of 8 km × 8 km, using aircraft measurements in the SoCAB during the 2010 Nexus of Air Quality and Climate Change campaign to constrain the inversion. To simulate atmospheric transport, we use the FLEXible PARTicle-Weather Research andmore » Forecasting (FLEXPART-WRF) Lagrangian particle dispersion model driven by three configurations of the Weather Research and Forecasting (WRF) mesoscale model. We determine surface fluxes of CH4 using a Bayesian least squares method in a four-dimensional inversion. Simulated CH4 concentrations with the posterior emission inventory achieve much better correlations with the measurements (R2 = 0.7) than using the prior inventory (U.S. Environmental Protection Agency's National Emission Inventory 2005, R2 = 0.5). The emission estimates for CH4 in the posterior, 46.3 ± 9.2 Mg CH4/h, are consistent with published observation-based estimates. Changes in the spatial distribution of CH4 emissions in the SoCAB between the prior and posterior inventories are discussed. Missing or underestimated emissions from dairies, the oil/gas system, and landfills in the SoCAB seem to explain the differences between the prior and posterior inventories. Furthermore, we estimate that dairies contributed 5.9 ± 1.7 Mg CH4/h and the two sectors of oil and gas industries (production and downstream) and landfills together contributed 39.6 ± 8.1 Mg CH4/h in the SoCAB.« less

  4. Job and Economic Development Impact Models (JEDI) | Open Energy...

    Open Energy Info (EERE)

    and biofuel plants at the local and state levels. It comes as a separate model for wind, PV, natural gas, CSP, coal, and biofuels. Job's, earnings, and impact are outputs. Inputs...

  5. ALGEBRA: a computer program that algebraically manipulates finite element output data. [In extended FORTRAN for CDC 7600 or CYBER 76 only

    SciTech Connect (OSTI)

    Richgels, M A; Biffle, J H

    1980-09-01

    ALGEBRA is a program that allows the user to process output data from finite-element analysis codes before they are sent to plotting routines. These data take the form of variable values (stress, strain, and velocity components, etc.) on a tape that is both the output tape from the analyses code and the input tape to ALGEBRA. The ALGEBRA code evaluates functions of these data and writes the function values on an output tape that can be used as input to plotting routines. Convenient input format and error detection capabilities aid the user in providing ALGEBRA with the functions to be evaluated. 1 figure.

  6. Enzymatic Filter for Improved Separation of Output Signals in Enzyme Logic Systems towards 'Sense and Treat' Medicine

    SciTech Connect (OSTI)

    Mailloux, Shay; Zavalov, Oleksandr; Guz, Nataliia; Katz, Evgeny; Bocharova, Vera

    2014-01-01

    The major challenge for application of autonomous medical sensing systems is the noise produced by non-zero physiological concentrations of the sensed target. If the level of noise is high, then a real signal indicating abnormal changes in the physiological levels of the analytes might be hindered. Inevitably, this could lead to wrong diagnostics and treatment, and would have a negative impact on human health. Here, we report the realization of a filter system implemented to improve both the fidelity of sensing and accuracy of consequent drug release. A new filtering method was tested in the sensing system for the diagnosis of liver injury. This sensing system used the enzymes alanine transaminase (ALT) and aspartate transaminase (AST) as the inputs. Furthermore, the output of the sensing system was designed to trigger drug release, and therefore, the role of the filter in drug release was also investigated. The drug release system consists of beads with an iron - cross-linked alginate core coated with different numbers of layers of poly-L-lysine. Dissolution of the beads by the output signals of the sensing system in the presence and absence of the filter was monitored by release of encapsulated in the beads rhodamine - 6G dye mimicking release of a real drug. The obtained results offer a new view on the problem of noise reduction for systems intended to be part of sense and treat medical devices.

  7. Design of Low-Noise Output Amplifiers for P-channel Charge-Coupled Devices Fabricated on High-Resistivity Silicon

    SciTech Connect (OSTI)

    Haque, S.; Frost, F. Dion R.; Groulx, R.; Holland, S.E.; Karcher, A.; Kolbe, W.F.; Roe, N. A.; Wang, G.; Yu, Y.

    2011-12-22

    We describe the design and optimization of low-noise, single-stage output amplifiers for p-channel charge-coupled devices (CCDs) used for scientific applications in astronomy and other fields. The CCDs are fabricated on high-resistivity, 40005000 -cm, n-type silicon substrates. Single-stage amplifiers with different output structure designs and technologies have been characterized. The standard output amplifier is designed with an n{sup +} polysilicon gate that has a metal connection to the sense node. In an effort to lower the output amplifier readout noise by minimizing the capacitance seen at the sense node, buried-contact technology has been investigated. In this case, the output transistor has a p{sup +} polysilicon gate that connects directly to the p{sup +} sense node. Output structures with buried-contact areas as small as 2 ?m 2 ?m are characterized. In addition, the geometry of the source-follower transistor was varied, and we report test results on the conversion gain and noise of the various amplifier structures. By use of buried-contact technology, better amplifier geometry, optimization of the amplifier biases and improvements in the test electronics design, we obtain a 45% reduction in noise, corresponding to 1.7 e{sup ?} rms at 70 kpixels/sec.

  8. Method and apparatus for improving resolution in spectrometers processing output steps from non-ideal signal sources

    DOE Patents [OSTI]

    Warburton, William K.; Momayezi, Michael

    2006-06-20

    A method and apparatus for processing step-like output signals (primary signals) generated by non-ideal, for example, nominally single-pole ("N-1P ") devices. An exemplary method includes creating a set of secondary signals by directing the primary signal along a plurality of signal paths to a signal summation point, summing the secondary signals reaching the signal summation point after propagating along the signal paths to provide a summed signal, performing a filtering or delaying operation in at least one of said signal paths so that the secondary signals reaching said summing point have a defined time correlation with respect to one another, applying a set of weighting coefficients to the secondary signals propagating along said signal paths, and performing a capturing operation after any filtering or delaying operations so as to provide a weighted signal sum value as a measure of the integrated area QgT of the input signal.

  9. Hybrid Energy System Modeling in Modelica

    SciTech Connect (OSTI)

    William R. Binder; Christiaan J. J. Paredis; Humberto E. Garcia

    2014-03-01

    In this paper, a Hybrid Energy System (HES) configuration is modeled in Modelica. Hybrid Energy Systems (HES) have as their defining characteristic the use of one or more energy inputs, combined with the potential for multiple energy outputs. Compared to traditional energy systems, HES provide additional operational flexibility so that high variability in both energy production and consumption levels can be absorbed more effectively. This is particularly important when including renewable energy sources, whose output levels are inherently variable, determined by nature. The specific HES configuration modeled in this paper include two energy inputs: a nuclear plant, and a series of wind turbines. In addition, the system produces two energy outputs: electricity and synthetic fuel. The models are verified through simulations of the individual components, and the system as a whole. The simulations are performed for a range of component sizes, operating conditions, and control schemes.

  10. Ventilation Model

    SciTech Connect (OSTI)

    V. Chipman

    2002-10-05

    The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. The purposes of Revision 01 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To further satisfy KTI agreements RDTME 3.01 and 3.14 (Reamer and Williams 2001a) by providing the source documentation referred to in the KTI Letter Report, ''Effect of Forced Ventilation on Thermal-Hydrologic Conditions in the Engineered Barrier System and Near Field Environment'' (Williams 2002). Specifically to provide the results of the MULTIFLUX model which simulates the coupled processes of heat and mass transfer in and around waste emplacement drifts during periods of forced ventilation. This portion of the model report is presented as an Alternative Conceptual Model with a numerical application, and also provides corroborative results used for model validation purposes (Section 6.3 and 6.4).

  11. MICROCOMP output file

    National Nuclear Security Administration (NNSA)

    6-65-OCT. 5, 1999 NATIONAL DEFENSE AUTHORIZATION ACT FOR FISCAL YEAR 2000 VerDate 12-OCT-99 23:18 Oct 28, 1999 Jkt 079139 PO 00065 Frm 00001 Fmt 6579 Sfmt 6579 E:\PUBLAW\PUBL065.106 APPS24 PsN: APPS24 113 STAT. 512 PUBLIC LAW 106-65-OCT. 5, 1999 Public Law 106-65 106th Congress An Act To authorize appropriations for fiscal year 2000 for military activities of the Depart- ment of Defense, for military construction, and for defense activities of the Depart- ment of Energy, to prescribe personnel

  12. MICROCOMP output file

    Office of Environmental Management (EM)

    65-OCT. 5, 1999 NATIONAL DEFENSE AUTHORIZATION ACT FOR FISCAL YEAR 2000 VerDate 12-OCT-99 23:18 Oct 28, 1999 Jkt 079139 PO 00065 Frm 00001 Fmt 6579 Sfmt 6579 E:\PUBLAW\PUBL065.106 APPS24 PsN: APPS24 113 STAT. 512 PUBLIC LAW 106-65-OCT. 5, 1999 Public Law 106-65 106th Congress An Act To authorize appropriations for fiscal year 2000 for military activities of the Depart- ment of Defense, for military construction, and for defense activities of the Depart- ment of Energy, to prescribe personnel

  13. MICROCOMP output file

    Office of Environmental Management (EM)

    O:\END\EPAC300.lc (file 1 of 19) S.L.C. 109TH CONGRESS REPORT " ! HOUSE OF REPRESENTATIVES SENATE 1st Session 109- ENERGY POLICY ACT OF 2005 , 2005.-Ordered to be printed , from the committee of conference, submitted the following CONFERENCE REPORT [To accompany H.R. 6] The committee of conference on the disagreeing votes of the two Houses on the amendment of the Senate to the bill (H.R. 6), to en- sure jobs for our future with secure, affordable, and reliable energy, having met, after full

  14. Uncertainty and sensitivity analysis for photovoltaic system modeling.

    SciTech Connect (OSTI)

    Hansen, Clifford W.; Pohl, Andrew Phillip; Jordan, Dirk

    2013-12-01

    We report an uncertainty and sensitivity analysis for modeling DC energy from photovoltaic systems. We consider two systems, each comprised of a single module using either crystalline silicon or CdTe cells, and located either at Albuquerque, NM, or Golden, CO. Output from a PV system is predicted by a sequence of models. Uncertainty in the output of each model is quantified by empirical distributions of each model's residuals. We sample these distributions to propagate uncertainty through the sequence of models to obtain an empirical distribution for each PV system's output. We considered models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane-of-array irradiance; (2) estimate effective irradiance from plane-of-array irradiance; (3) predict cell temperature; and (4) estimate DC voltage, current and power. We found that the uncertainty in PV system output to be relatively small, on the order of 1% for daily energy. Four alternative models were considered for the POA irradiance modeling step; we did not find the choice of one of these models to be of great significance. However, we observed that the POA irradiance model introduced a bias of upwards of 5% of daily energy which translates directly to a systematic difference in predicted energy. Sensitivity analyses relate uncertainty in the PV system output to uncertainty arising from each model. We found that the residuals arising from the POA irradiance and the effective irradiance models to be the dominant contributors to residuals for daily energy, for either technology or location considered. This analysis indicates that efforts to reduce the uncertainty in PV system output should focus on improvements to the POA and effective irradiance models.

  15. JOBS Models: JOBS FC (Fuel Cells) and JOBS H2 (Hydrogen)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Models JOBS FC (Fuel Cells) & JOBS H2 (Hydrogen) (Argonne National Laboratory) Objectives The JOBS and economic impacts of Fuel Cells (JOBS FC) and JOBS and economic impacts of Hydrogen (JOBS H2) models estimate employment, earnings and economic output from the manufacture, installation and use of select types of fuel cells and hydrogen infrastructure. Key Attributes & Strengths The two JOBS models use input-output methodology to estimate economic impacts associated with expenditures on

  16. Transforming the representation of the boundary layer and low clouds for high-resolution regional climate modeling: Final report

    SciTech Connect (OSTI)

    Huang, Hsin-Yuan; Hall, Alex

    2013-07-24

    Stratocumulus and shallow cumulus clouds in subtropical oceanic regions (e.g., Southeast Pacific) cover thousands of square kilometers and play a key role in regulating global climate (e.g., Klein and Hartmann, 1993). Numerical modeling is an essential tool to study these clouds in regional and global systems, but the current generation of climate and weather models has difficulties in representing them in a realistic way (e.g., Siebesma et al., 2004; Stevens et al., 2007; Teixeira et al., 2011). While numerical models resolve the large-scale flow, subgrid-scale parameterizations are needed to estimate small-scale properties (e.g. boundary layer turbulence and convection, clouds, radiation), which have significant influence on the resolved scale due to the complex nonlinear nature of the atmosphere. To represent the contribution of these fine-scale processes to the resolved scale, climate models use various parameterizations, which are the main pieces in the model that contribute to the low clouds dynamics and therefore are the major sources of errors or approximations in their representation. In this project, we aim to 1) improve our understanding of the physical processes in thermal circulation and cloud formation, 2) examine the performance and sensitivity of various parameterizations in the regional weather model (Weather Research and Forecasting model; WRF), and 3) develop, implement, and evaluate the advanced boundary layer parameterization in the regional model to better represent stratocumulus, shallow cumulus, and their transition. Thus, this project includes three major corresponding studies. We find that the mean diurnal cycle is sensitive to model domain in ways that reveal the existence of different contributions originating from the Southeast Pacific land-masses. The experiments suggest that diurnal variations in circulations and thermal structures over this region are influenced by convection over the Peruvian sector of the Andes cordillera, while the mostly dry mountain-breeze circulations force an additional component that results in semi-diurnal variations near the coast. A series of numerical tests, however, reveal sensitivity of the simulations to the choice of vertical grid, limiting the possibility of solid quantitative statements on the amplitudes and phases of the diurnal and semidiurnal components across the domain. According to our experiments, the Mellor-Yamada-Nakanishi-Niino (MYNN) boundary layer scheme and the WSM6 microphysics scheme is the combination of schemes that performs best. For that combination, mean cloud cover, liquid water path, and cloud depth are fairly wellsimulated, while mean cloud top height remains too low in comparison to observations. Both microphysics and boundary layer schemes contribute to the spread in liquid water path and cloud depth, although the microphysics contribution is slightly more prominent. Boundary layer schemes are the primary contributors to cloud top height, degree of adiabaticity, and cloud cover. Cloud top height is closely related to surface fluxes and boundary layer structure. Thus, our study infers that an appropriate tuning of cloud top height would likely improve the low-cloud representation in the model. Finally, we show that entrainment governs the degree of adiabaticity, while boundary layer decoupling is a control on cloud cover. In the intercomparison study using WRF single-column model experiments, most parameterizations show a poor agreement of the vertical boundary layer structure when compared with large-eddy simulation models. We also implement a new Total-Energy/Mass- Flux boundary layer scheme into the WRF model and evaluate its ability to simulate both stratocumulus and shallow cumulus clouds. Result comparisons against large-eddy simulation show that this advanced parameterization based on the new Eddy-Diffusivity/Mass-Flux approach provides a better performance than other boundary layer parameterizations.

  17. VENTILATION MODEL REPORT

    SciTech Connect (OSTI)

    V. Chipman

    2002-10-31

    The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their postclosure analyses.

  18. Integrated Environmental Control Model

    Energy Science and Technology Software Center (OSTI)

    1999-09-03

    IECM is a powerful multimedia engineering software program for simulating an integrated coal-fired power plant. It provides a capability to model various conventional and advanced processes for controlling air pollutant emissions from coal-fired power plants before, during, or after combustion. The principal purpose of the model is to calculate the performance, emissions, and cost of power plant configurations employing alternative environmental control methods. The model consists of various control technology modules, which may be integratedmore » into a complete utility plant in any desired combination. In contrast to conventional deterministic models, the IECM offers the unique capability to assign probabilistic values to all model input parameters, and to obtain probabilistic outputs in the form of cumulative distribution functions indicating the likelihood of dofferent costs and performance results. A Graphical Use Interface (GUI) facilitates the configuration of the technologies, entry of data, and retrieval of results.« less

  19. Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1

    SciTech Connect (OSTI)

    1994-02-24

    The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).

  20. Closed-Form Solution for the Effect of Fuel Decay and Thermoelectric Degradation on Output of SiGe RTGs

    SciTech Connect (OSTI)

    Schock, Alfred

    1991-08-01

    Presented at the 26th IECEC in Boston, MA August 4-9, 1991. The paper derives a closed-form solution for the long-term effect of fuel decay and thermoelectric degradation on the performance of Radioisotope Thermoelectric Generators employing silicon-germanium converter elements. RTGs of this type were used to power the recent Galileo and Ulysses space exploration missions, and are slated for use on the upcoming CRAF and Cassini missions. The method described applies not only to uniform-temperature RTGs, but also to RTGs with significant axial and circumferential variations in the couples' cold-junction temperatures and voltages (due to unsymmetrically obstructed heat rejection paths). This is important for the mutually blocking RTGs on the CRAF and Cassini spacecraft, and even more so for the reflector-blocked Solar Probe RTGs. The method for predicting RTG degradation that is dervied in this paper is based on both analytical and experimental data. It accounts for the effect of diminishing hot-junction temperatures on thermoelectric degradation rates. The method leads to an integral equation, for which the author was able to derive a closed-form solution. The solution was successfully validated by comparison with long-term test data. It enables the RTG designer to predict the power output profile throughout the mission, to ensure that it satisfies the mission's power demand profile. There are four copies in the file.

  1. SciFri AM: Mountain 01: Validation of a new formulism and the related correction factors on output factor determination for small photon fields

    SciTech Connect (OSTI)

    Wang, Yizhen; Younge, Kelly; Nielsen, Michelle; Mutanga, Theodore; Cui, Congwu; Das, Indra J.

    2014-08-15

    Small field dosimetry measurements including output factors are difficult due to lack of charged-particle equilibrium, occlusion of the radiation source, the finite size of detectors, and non-water equivalence of detector components. With available detectors significant variations could be measured that will lead to incorrect delivered dose to patients. IAEA/AAPM have provided a framework and formulation to correct the detector response in small photon fields. Monte Carlo derived correction factors for some commonly used small field detectors are now available, however validation has not been performed prior to this study. An Exradin A16 chamber, EDGE detector and SFD detector were used to perform the output factor measurement for a series of conical fields (530mm) on a Varian iX linear accelerator. Discrepancies up to 20%, 10% and 6% were observed for 5, 7.5 and 10 mm cones between the initial output factors measured by the EDGE detector and the A16 ion chamber, while the discrepancies for the conical fields larger than 10 mm were less than 4%. After the application of the correction, the output factors agree well with each other to within 1%. Caution is needed when determining the output factors for small photon fields, especially for fields 10 mm in diameter or smaller. More than one type of detector should be used, each with proper corrections applied to the measurement results. It is concluded that with the application of correction factors to appropriately chosen detectors, output can be measured accurately for small fields.

  2. Monolithically interconnected GaAs solar cells: A new interconnection technology for high voltage solar cell output

    SciTech Connect (OSTI)

    Dinetta, L.C.; Hannon, M.H.

    1995-10-01

    Photovoltaic linear concentrator arrays can benefit from high performance solar cell technologies being developed at AstroPower. Specifically, these are the integration of thin GaAs solar cell and epitaxial lateral overgrowth technologies with the application of monolithically interconnected solar cell (MISC) techniques. This MISC array has several advantages which make it ideal for space concentrator systems. These are high system voltage, reliable low cost monolithically formed interconnections, design flexibility, costs that are independent of array voltage, and low power loss from shorts, opens, and impact damage. This concentrator solar cell will incorporate the benefits of light trapping by growing the device active layers over a low-cost, simple, PECVD deposited silicon/silicon dioxide Bragg reflector. The high voltage-low current output results in minimal 12R losses while properly designing the device allows for minimal shading and resistance losses. It is possible to obtain open circuit voltages as high as 67 volts/cm of solar cell length with existing technology. The projected power density for the high performance device is 5 kW/m for an AMO efficiency of 26% at 1 5X. Concentrator solar cell arrays are necessary to meet the power requirements of specific mission platforms and can supply high voltage power for electric propulsion systems. It is anticipated that the high efficiency, GaAs monolithically interconnected linear concentrator solar cell array will enjoy widespread application for space based solar power needs. Additional applications include remote man-portable or ultra-light unmanned air vehicle (UAV) power supplies where high power per area, high radiation hardness and a high bus voltage or low bus current are important. The monolithic approach has a number of inherent advantages, including reduced cost per interconnect and increased reliability of array connections. There is also a high potential for a large number of consumer products.

  3. Model Documentation Report: Macroeconomic Activity Module of...

    Gasoline and Diesel Fuel Update (EIA)

    of employment by industry is industry output. Both current and lagged output values enter in the employment specification, reflecting the tendency for hiring to lag output...

  4. World Climate Research Programme (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3): Multi-Model Dataset Archive at PCMDI (Program for Climate Model Diagnosis and Intercomparison)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    In response to a proposed activity of the WCRP's Working Group on Coupled Modelling (WGCM),PCMDI volunteered to collect model output contributed by leading modeling centers around the world. Climate model output from simulations of the past, present and future climate was collected by PCMDI mostly during the years 2005 and 2006, and this archived data constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3). In part, the WGCM organized this activity to enable those outside the major modeling centers to perform research of relevance to climate scientists preparing the Fourth Asssessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science. This unprecedented collection of recent model output is officially known as the WCRP CMIP3 multi-model dataset. It is meant to serve IPCC's Working Group 1, which focuses on the physical climate system - atmosphere, land surface, ocean and sea ice - and the choice of variables archived at the PCMDI reflects this focus. A more comprehensive set of output for a given model may be available from the modeling center that produced it. As of November 2007, over 35 terabytes of data were in the archive and over 303 terabytes of data had been downloaded among the more than 1200 registered users. Over 250 journal articles, based at least in part on the dataset, have been published or have been accepted for peer-reviewed publication. Countries from which models have been gathered include Australia, Canada, China, France, Germany and Korea, Italy, Japan, Norway, Russia, Great Britain and the United States. Models, variables, and documentation are collected and stored. Check http://www-pcmdi.llnl.gov/ipcc/data_status_tables.htm to see at a glance the output that is available. (Description taken from http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php)

  5. Modeling the Transport and Radiative Forcing of Taklimakan Dust over the Tibetan Plateau: A case study in the summer of 2006

    SciTech Connect (OSTI)

    Chen, Siyu; Huang, J.; Zhao, Chun; Qian, Yun; Leung, Lai-Yung R.; Yang, Ben

    2013-01-30

    The Weather Research and Forecasting model with chemistry (WRF-Chem) is used to investigate an intense dust storm event during 26 to 30 July 2006 that originated over the Taklimakan Desert (TD) and transported to the northern slope of Tibetan Plateau (TP). The dust storm is initiated by the approach of a strong cold frontal system over the TD. In summer, the meridional transport of TD dust to the TP is favored by the thermal effect of the TP and the weakening of the East Asian westerly winds. During this dust storm, the transport of TD dust over the TP is further enhanced by the passage of the cold front. As a result, TD dust breaks through the planetary boundary layer and extends to the upper troposphere over the northern TP. TD dust flux arrived at the TP with a value of 6.6 Gg/day in this 5 day event but decays quickly during the southward migration over the TP due to dry deposition. The simulations show that TD dust cools the atmosphere near the surface and heats the atmosphere above with a maximum heating rate of 0.11 K day-1 at ~7 km over the TP. The event-averaged net radiative forcings of TD dust over the TP are -3.97, 1.61, and -5.58 Wm-2 at the top of the atmosphere (TOA), in the atmosphere, and at the surface, respectively. The promising performance of WRF-Chem in simulating dust and its radiative forcing provides confidence for use in further investigation of climatic impact of TD dust over the TP.

  6. Relative output factor and beam profile measurements of small radiation fields with an L-alanine/K-Band EPR minidosimeter

    SciTech Connect (OSTI)

    Chen Abrego, Felipe; Calcina, Carmen Sandra Guzman; Almeida, Adelaide de; Almeida, Carlos Eduardo de; Baffa, Oswaldo

    2007-05-15

    The performance of an L-alanine dosimeter with millimeter dimensions was evaluated for dosimetry in small radiation fields. Relative output factor (ROF) measurements were made for 0.5x0.5, 1x1, 3x3, 5x5, 10x10 cm{sup 2} square fields and for 5-, 10-, 20-, 40-mm-diam circular fields. In beam profile (BP) measurements, only 1x1, 3x3, 5x5 cm{sup 2} square fields and 10-, 20-, 40-mm-diam circular fields were used. For square and circular field irradiations, Varian/Clinac 2100, and a Siemens/Mevatron 6 MV linear accelerators were used, respectively. For a batch of 800 L-alanine minidosimeters (miniALAs) the average mass was 4.3{+-}0.5 (1{sigma}) mg, the diameter was 1.22{+-}0.07 (1{sigma}) mm, and the length was 3.5{+-}0.2 (1{sigma}) mm. A K-Band (24 GHz) electron paramagnetic resonance (EPR) spectrometer was used for recording the spectrum of irradiated and nonirradiated miniALAs. To evaluate the performance of the miniALAs, their ROF and BP results were compared with those of other types of detectors, such as an ionization chamber (PTW 0.125 cc), a miniTLD (LiF: Mg,Cu,P), and Kodak/X-Omat V radiographic film. Compared to other dosimeters, the ROF results for miniALA show differences of up to 3% for the smallest fields and 7% for the largest ones. These differences were within the miniALA experimental uncertainty ({approx}5-6% at 1{sigma}). For BP measurements, the maximum penumbra width difference observed between miniALA and film (10%-90% width) was less than 1 mm for square fields and within 1-2 mm for circular fields. These penumbra width results indicate that the spatial resolution of the miniALA is comparable to that of radiographic film and its dimensions are adequate for the field sizes used in this experiment. The K-Band EPR spectrometer provided adequate sensitivity for assessment of miniALAs with doses of the order of tens of Grays, making this dosimetry system (K-Band/miniALA) a potential candidate for use in radiosurgery dosimetry.

  7. Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1996-02-26

    The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.

  8. BTO Publishes Two Important Building Energy Modeling Documents

    Broader source: Energy.gov [DOE]

    This week, BTO published two important and related documents regarding its Building Energy Modeling (BEM) program. The first is the final revision of the BTO multi-year program plan (MYPP). In conjunction with the MYPP, BTO also published a set of program logic models that trace BTO activities to outputs and market outcomes.

  9. Dynamic Analysis of Electrical Power Grid Delivery: Using Prime Mover Engines to Balance Dynamic Wind Turbine Output

    SciTech Connect (OSTI)

    Diana K. Grauer

    2011-10-01

    This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy.

  10. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    WRF Simulations for Next Generation Climate Models Download a printable PDF Submitter: Wang, Y., Pacific Northwest National Laboratory Long, C. N., NOAA Global Monitoring...

  11. Synchronous motor with soft start element formed between the motor rotor and motor output shaft to successfully synchronize loads that have high inertia and/or high torque

    DOE Patents [OSTI]

    Umans, Stephen D; Nisley, Donald L; Melfi, Michael J

    2014-10-28

    A line-start synchronous motor has a housing, a rotor shaft, and an output shaft. A soft-start coupling portion is operatively coupled to the output shaft and the rotor shaft. The soft-start coupling portion is configurable to enable the synchronous motor to obtain synchronous operation and to drive, at least near synchronous speed during normal steady state operation of the motor, a load having characteristics sufficient to prevent obtaining normal synchronous operation of the motor when the motor is operatively connected to the load in the absence of the soft-start coupling. The synchronous motor is sufficiently rated to obtain synchronous operation and to drive, at least near synchronous speed during normal steady state operation of the motor, a load having characteristics sufficient to prevent obtaining normal synchronous operation of the motor when the motor is operatively connected to the load in the absence of the soft-start coupling.

  12. Magnetic field-induced phase transformation in NiMnCoIn magnetic shape memory alloys - a new actuation mechanism with large work output.

    SciTech Connect (OSTI)

    Karaca, H. E.; Karaman, I.; Basaran, B.; Ren, Y.; Chumlyakov, Y. I.; Maier, H. J.; X-Ray Science Division; Texsas A&M Univ.; Univ. of Kentucky; Siberian Physical-Technical Inst.; Univ. of Paderborn

    2009-04-09

    Magnetic shape memory alloys (MSMAs) have recently been developed into a new class of functional materials that are capable of magnetic-field-induced actuation, mechanical sensing, magnetic refrigeration, and energy harvesting. In the present work, the magnetic field-induced martensitic phase transformation (FIPT) in Ni{sub 45}Mn{sub 36.5}Co{sub 5}In{sub 13.5} MSMA single crystals is characterized as a new actuation mechanism with potential to result in ultra-high actuation work outputs. The effects of the applied magnetic field on the transformation temperatures, magnetization, and superelastic response are investigated. The magnetic work output of NiMnCoIn alloys is determined to be more than 1 MJ m{sup -3} per Tesla, which is one order of magnitude higher than that of the most well-known MSMAs, i.e., NiMnGa alloys. In addition, the work output of NiMnCoIn alloys is orientation independent, potentially surpassing the need for single crystals, and not limited by a saturation magnetic field, as opposed to NiMnGa MSMAs. Experimental and theoretical transformation strains and magnetostress levels are determined as a function of crystal orientation. It is found that [111]-oriented crystals can demonstrate a magnetostress level of 140 MPa T{sup -1} with 1.2% axial strain under compression. These field-induced stress and strain levels are significantly higher than those from existing piezoelectric and magnetostrictive actuators. A thermodynamical framework is introduced to comprehend the magnetic energy contributions during FIPT. The present work reveals that the magnetic FIPT mechanism is promising for magnetic actuation applications and provides new opportunities for applications requiring high actuation work-outputs with relatively large actuation frequencies. One potential issue is the requirement for relatively high critical magnetic fields and field intervals (1.5-3 T) for the onset of FIPT and for reversible FIPT, respectively.

  13. The Influence of Building Location on Combined Heat and Power/ Hydrogen (Tri-Generation) System Cost, Hydrogen Output and Efficiency (Presentation)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    National Hydrogen Association Meeting Darlene M. Steward Mike Penev National Renewable Energy Laboratory Columbia, SC March 30 - April 3, 2009 NREL/PR-560-45628 The Influence of Building Location on Combined Heat and Power/ Hydrogen (Tri-Generation) System Cost, Hydrogen Output and Efficiency This presentation does not contain any proprietary, confidential, or otherwise restricted information National Renewable Energy Laboratory Innovation for Our Energy Future Acknowledgements Development of

  14. Process modeling and industrial energy use

    SciTech Connect (OSTI)

    Howe, S O; Pilati, D A; Sparrow, F T

    1980-11-01

    How the process models developed at BNL are used to analyze industrial energy use is described and illustrated. Following a brief overview of the industry modeling program, the general methodology of process modeling is discussed. The discussion highlights the important concepts, contents, inputs, and outputs of a typical process model. A model of the US pulp and paper industry is then discussed as a specific application of process modeling methodology. Case study results from the pulp and paper model illustrate how process models can be used to analyze a variety of issues. Applications addressed with the case study results include projections of energy demand, conservation technology assessment, energy-related tax policies, and sensitivity analysis. A subsequent discussion of these results supports the conclusion that industry process models are versatile and powerful tools for energy end-use modeling and conservation analysis. Information on the current status of industry models at BNL is tabulated.

  15. Microsoft Word - Updated Air Dispersion Modeling Table _sulfur_.doc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    DIVINE STRAKE AIR DISPERSION MODELING RESULTS for SULFUR DIOXIDE The attached table is updated to include estimated sulfur dioxide concentrations resulting from the Divine Strake Experiment. Output from the POLU4WN model was used to estimate quantities of all emissions from the proposed explosive experiment. All emissions of oxides of sulfur were combined to provide input into Open Burn/Open Detonation Model (OBODM) to model the dispersion; thus overestimating the concentration of sulfur dioxide

  16. Model-free adaptive control of supercritical circulating fluidized-bed boilers

    DOE Patents [OSTI]

    Cheng, George Shu-Xing; Mulkey, Steven L

    2014-12-16

    A novel 3-Input-3-Output (3.times.3) Fuel-Air Ratio Model-Free Adaptive (MFA) controller is introduced, which can effectively control key process variables including Bed Temperature, Excess O2, and Furnace Negative Pressure of combustion processes of advanced boilers. A novel 7-input-7-output (7.times.7) MFA control system is also described for controlling a combined 3-Input-3-Output (3.times.3) process of Boiler-Turbine-Generator (BTG) units and a 5.times.5 CFB combustion process of advanced boilers. Those boilers include Circulating Fluidized-Bed (CFB) Boilers and Once-Through Supercritical Circulating Fluidized-Bed (OTSC CFB) Boilers.

  17. Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin

    SciTech Connect (OSTI)

    Cui, Yu Yan; Brioude, Jerome; McKeen, Stuart A.; Angevine, Wayne M.; Kim, Si -Wan; Frost, Gregory J.; Ahmadov, Ravan; Peischl, Jeff; Bousserez, Nicolas; Liu, Zhen; Ryerson, Thomas B.; Wofsy, Steve C.; Santoni, Gregory W.; Kort, Eric A.; Fischer, Marc L.; Trainer, Michael

    2015-07-28

    Methane (CH4) is the primary component of natural gas and has a larger global warming potential than CO2. Some recent top-down studies based on observations showed CH4 emissions in California's South Coast Air Basin (SoCAB) were greater than those expected from population-apportioned bottom-up state inventories. In this study, we quantify CH4 emissions with an advanced mesoscale inverse modeling system at a resolution of 8 km 8 km, using aircraft measurements in the SoCAB during the 2010 Nexus of Air Quality and Climate Change campaign to constrain the inversion. To simulate atmospheric transport, we use the FLEXible PARTicle-Weather Research and Forecasting (FLEXPART-WRF) Lagrangian particle dispersion model driven by three configurations of the Weather Research and Forecasting (WRF) mesoscale model. We determine surface fluxes of CH4 using a Bayesian least squares method in a four-dimensional inversion. Simulated CH4 concentrations with the posterior emission inventory achieve much better correlations with the measurements (R2 = 0.7) than using the prior inventory (U.S. Environmental Protection Agency's National Emission Inventory 2005, R2 = 0.5). The emission estimates for CH4 in the posterior, 46.3 9.2 Mg CH4/h, are consistent with published observation-based estimates. Changes in the spatial distribution of CH4 emissions in the SoCAB between the prior and posterior inventories are discussed. Missing or underestimated emissions from dairies, the oil/gas system, and landfills in the SoCAB seem to explain the differences between the prior and posterior inventories. Furthermore, we estimate that dairies contributed 5.9 1.7 Mg CH4/h and the two sectors of oil and gas industries (production and downstream) and landfills together contributed 39.6 8.1 Mg CH4/h in the SoCAB.

  18. Lithium-Ion Ultracapacitors integrated with Wind Turbines Power Conversion Systems to Extend Operating Life and Improve Output Power Quality

    SciTech Connect (OSTI)

    Adel Nasiri

    2012-05-23

    In this project we designed and modeled a system for a full conversion wind turbine and built a scaled down model which utilizes Lithium-Ion Capacitors on the DC bus. One of the objectives is to reduce the mechanical stress on the gearbox and drivetrain of the wind turbine by adjusting the torque on generator side according to incoming wind power. Another objective is to provide short-term support for wind energy to be more ???¢????????grid friendly???¢??????? in order to ultimately increase wind energy penetration. These supports include power smoothing, power ramp rate limitation, low voltage ride through, and frequency (inertia) support. This research shows how energy storage in small scale and in an economical fashion can make a significant impact on performance of wind turbines. Gearbox and drivetrain premature failures are among high cost maintenance items for wind turbines. Since the capacitors are directly applied on the turbine DC bus and their integration does not require addition hardware, the cost of the additional system can be reasonable for the wind turbine manufacturers and utility companies.

  19. Ventilation Model Report

    SciTech Connect (OSTI)

    V. Chipman; J. Case

    2002-12-20

    The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. Revision 01 ICN 01 included the results of the unqualified software code MULTIFLUX to assess the influence of moisture on the ventilation efficiency. The purposes of Revision 02 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To asses the impacts of moisture on the ventilation efficiency.

  20. Use of ARM observations and numerical models to determine radiative and latent heating profiles of mesoscale convective systems for general circulation models

    SciTech Connect (OSTI)

    Tao, Wei-Kuo; Houze, Robert, A., Jr.; Zeng, Xiping

    2013-03-14

    This three-year project, in cooperation with Professor Bob Houze at University of Washington, has been successfully finished as planned. Both ARM (the Atmospheric Radiation Measurement Program) data and cloud-resolving model (CRM) simulations were used to identify the water budgets of clouds observed in two international field campaigns. The research results achieved shed light on several key processes of clouds in climate change (or general circulation models), which are summarized below. 1. Revealed the effect of mineral dust on mesoscale convective systems (MCSs) Two international field campaigns near a desert and a tropical coast provided unique data to drive and evaluate CRM simulations, which are TWP-ICE (the Tropical Warm Pool International Cloud Experiment) and AMMA (the African Monsoon Multidisciplinary Analysis). Studies of the two campaign data were contrasted, revealing that much mineral dust can bring about large MCSs via ice nucleation and clouds. This result was reported as a PI presentation in the 3rd ASR Science Team meeting held in Arlington, Virginia in March 2012. A paper on the studies was published in the Journal of the Atmospheric Sciences (Zeng et al. 2013). 2. Identified the effect of convective downdrafts on ice crystal concentration Using the large-scale forcing data from TWP-ICE, ARM-SGP (the Southern Great Plains) and other field campaigns, Goddard CRM simulations were carried out in comparison with radar and satellite observations. The comparison between model and observations revealed that convective downdrafts could increase ice crystal concentration by up to three or four orders, which is a key to quantitatively represent the indirect effects of ice nuclei, a kind of aerosol, on clouds and radiation in the Tropics. This result was published in the Journal of the Atmospheric Sciences (Zeng et al. 2011) and summarized in the DOE/ASR Research Highlights Summaries (see http://www.arm.gov/science/highlights/RMjY5/view). 3. Used radar observations to evaluate model simulations In cooperation with Profs. Bob Houze at University of Washington and Steven Rutledge at Colorado State University, numerical model results were evaluated with observations from W- and C-band radars and CloudSat/TRMM satellites. These studies exhibited some shortcomings of current numerical models, such as too little of thin anvil clouds, directing the future improvement of cloud microphysics parameterization in CRMs. Two papers of Powell et al (2012) and Zeng et al. (2013), summarizing these studies, were published in the Journal of the Atmospheric Sciences. 4. Analyzed the water budgets of MCSs Using ARM data from TWP-ICE, ARM-SGP and other field campaigns, the Goddard CRM simulations were carried out to analyze the water budgets of clouds from TWP-ICE and AMMA. The simulations generated a set of datasets on clouds and radiation, which are available http://cloud.gsfc.nasa.gov/. The cloud datasets were available for modelers and other researchers aiming to improve the representation of cloud processes in multi-scale modeling frameworks, GCMs and climate models. Special datasets, such as 3D cloud distributions every six minutes for TWP-ICE, were requested and generated for ARM/ASR investigators. Data server records show that 86,206 datasets were downloaded by 120 users between April of 2010 and January of 2012. 5. MMF simulations The Goddard MMF (multi-scale modeling framework) has been improved by coupling with the Goddard Land Information System (LIS) and the Goddard Earth Observing System Model, Version 5 (GOES5). It has also been optimized on NASA HEC supercomputers and can be run over 4000 CPUs. The improved MMF with high horizontal resolution (1 x 1 degree) is currently being applied to cases covering 2005 and 2006. The results show that the spatial distribution pattern of precipitation rate is well simulated by the MMF through comparisons with satellite retrievals from the CMOPRH and GPCP data sets. In addition, the MMF results were compared with three reanalyses (MERRA, ERA-Interim and CFSR). Although the MMF tends to produce a higher precipitation rate over some topical regions, it actually well captures the variations in the zonal and meridional means. Among the three reanalyses, ERA-Interim seems to have values close to those of the satellite retrievals especially for GPCP. It is interesting to note that the MMF obtained the best results in the rain forest of Africa even better than those of CFSR and ERA-Interim, when compared to CMORPH. MERRA fails to capture the precipitation in this region. We are now collaborating with Steve Rutledge (CSU) to validate the model results for AMMA 6. MC3E and the diurnal variation of precipitation processes The Midlatitude Continental Convective Clouds Experiment (MC3E) was a joint field campaign between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the NASA Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. It took place in central Oklahoma during the period April 22 _ June 6, 2011. Some of its major objectives involve the use of CRMs in precipitation science such as: (1) testing the fidelity of CRM simulations via intensive statistical comparisons between simulated and observed cloud properties and latent heating fields for a variety of case types, (2) establishing the limits of CRM space-time integration capabilities for quantitative precipitation estimates, and (3) supporting the development and refinement of physically-based GMI, DPR, and DPR-GMI combined retrieval algorithms using ground-based GPM GV Ku-Ka band radar and CRM simulations. The NASA unified WRF model (nu-WRF) was used for real time forecasts during the field campaign, and ten precipitation events were selected for post mission simulations. These events include well-organized squall lines, scattered storms and quasi-linear storms. A paper focused on the diurnal variation of precipitation will be submitted in September 2012. The major highlights are as follows: a. The results indicate that NU-WRF model could capture observed diurnal variation of rainfall (composite not individual); b. NU-WRF model could simulate two different types (propagating and local type) of the diurnal variation of rainfall; c. NU-WRF model simulation show very good agreement with observation in terms of precipitation pattern (linear MCS), radar reflectivity (a second low peak – shallow convection); d. NU-WRF model simulation indicates that the cool-pool dynamic is the main physical process for MCS propagation speed; e. Surface heat fluxes (including land surface model and initial surface condition) do not play a major role in phase of diurnal variation (change rainfall amount slightly); f. Terrain effect is important for initial stage of MCS (rainfall is increased and close to observation by increasing the terrain height that is also close to observed); g. Diurnal variation of radiation is not important for the simulated variation of rainfall. Publications: Zeng, X., W.-K. Tao, S. Powell, R. Houze, Jr., P. Ciesielski, N. Guy, H. Pierce and T. Matsui, 2012: A comparison of the water budgets between clouds from AMMA and TWP-ICE. J. Atmos. Sci., 70, 487-503. Powell, S. W., R. A. Houze, Jr., A. Kumar, and S. A. McFarlane, 2012: Comparison of simulated and observed continental tropical anvil clouds and their radiative heating profiles. J. Atmos. Sci., 69, 2662-2681. Zeng, X., W.-K. Tao, T. Matsui, S. Xie, S. Lang, M. Zhang, D. Starr, and X. Li, 2011: Estimating the Ice Crystal Enhancement Factor in the Tropics. J. Atmos. Sci., 68, 1424-1434. Conferences: Zeng, X., W.-K. Tao, S. Powell, R. Houze, Jr., P. Ciesielski, N. Guy, H. Pierce and T. Matsui, 2012: Comparison of water budget between AMMA and TWP-ICE clouds. The 3rd Annual ASR Science Team Meeting. Arlington, Virginia, Mar. 12-16, 2012. Zeng, X., W.-K. Tao, S. Powell, R. A. Houze Jr., and P. Ciesielski, 2011: Comparing the water budgets between AMMA and TWP-ICE clouds. Fall 2011 ASR Working Group Meeting. Annapolis, September 12-16, 2011. Zeng, X. et al., 2011: Introducing ice nuclei into turbulence parameterizations in CRMs. Fall 2011 ASR Working Group Meeting. Annapolis, September 12-16, 2011.

  1. NREL: Jobs and Economic Development Impact (JEDI) Models - Interpreting

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Results Interpreting Results Sample Results from JEDI. Download a text-version (MS Excel 44 KB) The Jobs and Economic Development Impact (JEDI) models estimate the number of jobs and economic impacts associated with power generation, fuel production, and other projects. Economic activity in input-output models is typically assessed in three categories. NREL's JEDI models classify the first category of results-on-site labor and professional services results-as dollars spent on labor from

  2. Sequentially Executed Model Evaluation Framework

    SciTech Connect (OSTI)

    2014-02-14

    Provides a message passing framework between generic input, model and output drivers, and specifies an API for developing such drivers. Also provides batch and real-time controllers which step the model and 1/0 through the time domain (or other discrete domain), and sample 1/0 drivers. This is a Framework library framework, and does not, itself, solve any problems or execute any modelling. The SeMe framework aids in development of models which operate on sequential information, such as time-series, where evaluation is based on prior results combined with new data for this iteration. Ha) applications in quality monitoring, and was developed as part of the CANARY-EDS software, where real-time water quality data is being analyzed

  3. Sequentially Executed Model Evaluation Framework

    Energy Science and Technology Software Center (OSTI)

    2014-02-14

    Provides a message passing framework between generic input, model and output drivers, and specifies an API for developing such drivers. Also provides batch and real-time controllers which step the model and 1/0 through the time domain (or other discrete domain), and sample 1/0 drivers. This is a Framework library framework, and does not, itself, solve any problems or execute any modelling. The SeMe framework aids in development of models which operate on sequential information, suchmore » as time-series, where evaluation is based on prior results combined with new data for this iteration. Ha) applications in quality monitoring, and was developed as part of the CANARY-EDS software, where real-time water quality data is being analyzed« less

  4. Inventory of state energy models

    SciTech Connect (OSTI)

    Melcher, A.G.; Gist, R.L.; Underwood, R.G.; Weber, J.C.

    1980-03-31

    These models address a variety of purposes, such as supply or demand of energy or of certain types of energy, emergency management of energy, conservation in end uses of energy, and economic factors. Fifty-one models are briefly described as to: purpose; energy system; applications;status; validation; outputs by sector, energy type, economic and physical units, geographic area, and time frame; structure and modeling techniques; submodels; working assumptions; inputs; data sources; related models; costs; references; and contacts. Discussions in the report include: project purposes and methods of research, state energy modeling in general, model types and terminology, and Federal legislation to which state modeling is relevant. Also, a state-by-state listing of modeling efforts is provided and other model inventories are identified. The report includes a brief encylopedia of terms used in energy models. It is assumed that many readers of the report will not be experienced in the technical aspects of modeling. The project was accomplished by telephone conversations and document review by a team from the Colorado School of Mines Research Institute and the faculty of the Colorado School of Mines. A Technical Committee (listed in the report) provided advice during the course of the project.

  5. Macroeconomic Activity Module of the National Energy Modeling...

    Gasoline and Diesel Fuel Update (EIA)

    of employment by industry is industry output. Both current and lagged output values enter in the employment specification, reflecting the tendency for hiring to lag output...

  6. Site-Scale Saturated Zone Flow Model

    SciTech Connect (OSTI)

    G. Zyvoloski

    2003-12-17

    The purpose of this model report is to document the components of the site-scale saturated-zone flow model at Yucca Mountain, Nevada, in accordance with administrative procedure (AP)-SIII.lOQ, ''Models''. This report provides validation and confidence in the flow model that was developed for site recommendation (SR) and will be used to provide flow fields in support of the Total Systems Performance Assessment (TSPA) for the License Application. The output from this report provides the flow model used in the ''Site-Scale Saturated Zone Transport'', MDL-NBS-HS-000010 Rev 01 (BSC 2003 [162419]). The Site-Scale Saturated Zone Transport model then provides output to the SZ Transport Abstraction Model (BSC 2003 [164870]). In particular, the output from the SZ site-scale flow model is used to simulate the groundwater flow pathways and radionuclide transport to the accessible environment for use in the TSPA calculations. Since the development and calibration of the saturated-zone flow model, more data have been gathered for use in model validation and confidence building, including new water-level data from Nye County wells, single- and multiple-well hydraulic testing data, and new hydrochemistry data. In addition, a new hydrogeologic framework model (HFM), which incorporates Nye County wells lithology, also provides geologic data for corroboration and confidence in the flow model. The intended use of this work is to provide a flow model that generates flow fields to simulate radionuclide transport in saturated porous rock and alluvium under natural or forced gradient flow conditions. The flow model simulations are completed using the three-dimensional (3-D), finite-element, flow, heat, and transport computer code, FEHM Version (V) 2.20 (software tracking number (STN): 10086-2.20-00; LANL 2003 [161725]). Concurrently, process-level transport model and methodology for calculating radionuclide transport in the saturated zone at Yucca Mountain using FEHM V 2.20 are being carried out in the model report, ''Site-Scale Saturated Zone Transport'', MDL-NBS-HS-000010 Rev 01 (BSC 2003 [162419]). The velocity fields are calculated by the flow model, described herein, independent of the transport processes, and are then used as inputs to the transport model. Justification for this abstraction is presented in the model report, ''Saturated Zone Flow and Transport Model Abstraction'', MDL-NBS-HS-000021 (BSC 2003 [164870]).

  7. Evaluation of convection-permitting model simulations of cloud populations associated with the Madden-Julian Oscillation using data collected during the AMIE/DYNAMO field campaign

    SciTech Connect (OSTI)

    Hagos, Samson M.; Feng, Zhe; Burleyson, Casey D.; Lim, Kyo-Sun; Long, Charles N.; Wu, Di; Thompson, Gregory

    2014-11-12

    Regional cloud permitting model simulations of cloud populations observed during the 2011 ARM Madden Julian Oscillation Investigation Experiment/ Dynamics of Madden-Julian Experiment (AMIE/DYNAMO) field campaign are evaluated against radar and ship-based measurements. Sensitivity of model simulated surface rain rate statistics to parameters and parameterization of hydrometeor sizes in five commonly used WRF microphysics schemes are examined. It is shown that at 2 km grid spacing, the model generally overestimates rain rate from large and deep convective cores. Sensitivity runs involving variation of parameters that affect rain drop or ice particle size distribution (more aggressive break-up process etc) generally reduce the bias in rain-rate and boundary layer temperature statistics as the smaller particles become more vulnerable to evaporation. Furthermore significant improvement in the convective rain-rate statistics is observed when the horizontal grid-spacing is reduced to 1 km and 0.5 km, while it is worsened when run at 4 km grid spacing as increased turbulence enhances evaporation. The results suggest modulation of evaporation processes, through parameterization of turbulent mixing and break-up of hydrometeors may provide a potential avenue for correcting cloud statistics and associated boundary layer temperature biases in regional and global cloud permitting model simulations.

  8. Generalized Environment for Modeling Systems

    Energy Science and Technology Software Center (OSTI)

    2012-02-07

    GEMS is an integrated environment that allows technical analysts, modelers, researchers, etc. to integrate and deploy models and/or decision tools with associated data to the internet for direct use by customers. GEMS does not require that the model developer know how to code or script and therefore delivers this capability to a large group of technical specialists. Customers gain the benefit of being able to execute their own scenarios directly without need for technical support.more » GEMS is a process that leverages commercial software products with specialized codes that add connectivity and unique functions to support the overall capability. Users integrate pre-existing models with a commercial product and store parameters and input trajectories in a companion commercial database. The model is then exposed into a commercial web environment and a graphical user interface (GUI) is applied by the model developer. Users execute the model through the web based GUI and GEMS manages supply of proper inputs, execution of models, routing of data to models and display of results back to users. GEMS works in layers, the following description is from the bottom up. Modelers create models in the modeling tool of their choice such as Excel, Matlab, or Fortran. They can also use models from a library of previously wrapped legacy codes (models). Modelers integrate the models (or a single model) by wrapping and connecting the models using the Phoenix Integration tool entitled ModelCenter. Using a ModelCenter/SAS plugin (DOE copyright CW-10-08) the modeler gets data from either an SAS or SQL database and sends results back to SAS or SQL. Once the model is working properly, the ModelCenter file is saved and stored in a folder location to which a SharePoint server tool created at INL is pointed. This enables the ModelCenter model to be run from SharePoint. The modeler then goes into Microsoft SharePoint and creates a graphical user interface (GUI) using the ModelCenter WebPart (CW-12-04) created at INL to work inside SharePoint. The GUI tool links slider bars and drop downs to specific inputs and output of the ModelCenter model that is executable from SharePoint. The modeler also creates in SAS, dashboards, graphs and tables that are exposed by links and SAS and ModelCenter Web Parts into the SharePoint system. The user can then log into SharePoint, move slider bars and select drop down lists to configure the model parameters, click to run the model, and then view the output results that are based on their particular input choices. The main point is that GEMS eliminates the need for a programmer to connect and create the web artifacts necessary to implement and deliver an executable model or decision aid to customers.« less

  9. System level modeling of thermoelectric generators for automotive applications

    Broader source: Energy.gov [DOE]

    Uses a model to predict and analyze the system-level performance of a thermoelectric generator in terms of the power output and the power density ? at the element, module and system-level and for a wide range of operating conditions.

  10. MULTISCALE THERMOHYDROLOGIC MODEL

    SciTech Connect (OSTI)

    T. Buscheck

    2005-07-07

    The intended purpose of the multiscale thermohydrologic model (MSTHM) is to predict the possible range of thermal-hydrologic conditions, resulting from uncertainty and variability, in the repository emplacement drifts, including the invert, and in the adjoining host rock for the repository at Yucca Mountain. The goal of the MSTHM is to predict a reasonable range of possible thermal-hydrologic conditions within the emplacement drift. To be reasonable, this range includes the influence of waste-package-to-waste-package heat output variability relevant to the license application design, as well as the influence of uncertainty and variability in the geologic and hydrologic conditions relevant to predicting the thermal-hydrologic response in emplacement drifts. This goal is quite different from the goal of a model to predict a single expected thermal-hydrologic response. As a result, the development and validation of the MSTHM and the associated analyses using this model are focused on the goal of predicting a reasonable range of thermal-hydrologic conditions resulting from parametric uncertainty and waste-package-to-waste-package heat-output variability. Thermal-hydrologic conditions within emplacement drifts depend primarily on thermal-hydrologic conditions in the host rock at the drift wall and on the temperature difference between the drift wall and the drip-shield and waste-package surfaces. Thus, the ability to predict a reasonable range of relevant in-drift MSTHM output parameters (e.g., temperature and relative humidity) is based on valid predictions of thermal-hydrologic processes in the host rock, as well as valid predictions of heat-transfer processes between the drift wall and the drip-shield and waste-package surfaces. Because the invert contains crushed gravel derived from the host rock, the invert is, in effect, an extension of the host rock, with thermal and hydrologic properties that have been modified by virtue of the crushing (and the resulting geometry of the gravel grains). Thus, given that reasonable invert properties are applied, the ability to predict a reasonable range of relevant MSTHM output parameters for the invert are based on valid predictions of thermal-hydrologic processes in the host rock. The MSTHM calculates the following thermal-hydrologic parameters: temperature, relative humidity, liquid-phase saturation, evaporation rate, air-mass fraction, gas-phase pressure, capillary pressure, and liquid- and gas-phase fluxes. The thermal-hydrologic parameters used to support ''Total System Performance Assessment (TSPA) Model/Analysis for the License Application'' are identified in Table 1-1. The thermal-hydrologic parameters are determined as a function of position along each of the emplacement drifts and as a function of waste package type. These parameters are determined at various reference locations within the emplacement drifts, including the waste package and drip-shield surfaces and in the invert. The parameters are also determined at various defined locations in the adjoining host rock.

  11. SU-E-T-364: 6X FFF and 10X FFF Portal Dosimetry Output Factor Verification: Application for SRS/SBRT

    SciTech Connect (OSTI)

    Gulam, M; Bellon, M; Gopal, A; Wen, N; Chetty, I; Gordon, J; Hames, S; Schmidt, M

    2014-06-01

    Purpose: To enhance portal dosimetry of high dose rate SRS/SBRT plan verifications with extensive imager measurement of output factors (OF). Methods: Electronic portal image dosimetry (EPID), implemented on the Varian Edge allows for acquisition of its two energies: 6X FFF and 10 FFF (1400 and 2400 MU/min, respectively) at source to imager distance (SID) =100cm without imager saturation. Square and rectangular aSi OF following EPID calibration were obtained. Data taken was similar to that obtained during beam commissioning (of almost all field sizes from 11 to 1515 and 2020 cm{sup 2}, [Trilogy] and [Edge], respectively) to construct a table using the OF tool for use in the Portal Dosimetry Prediction Algorithm (PDIP v11). The Trilogy 6x SRS 1000 MU/min EPID data were taken at 140 SID. The large number of OF were obtained for comparison to that obtained with diode detectors and ion chambers (cc13 for >33 field size). As Edge PDIP verification is currently ongoing, EPID measurements of three SRS/SBRT plans for the Trilogy were taken and compared to results obtained prior to these measurements. Results: The relative difference output factors of field sizes 22 and higher compared to commissioning data were (mean+/-SD, [range]): Edge 6X (?1.9+/?2.9%, [?5.9%,3.1%]), Edge 10X (?0.7+/?1.2%, [? 3.3%,0.8%] and Trilogy (0.03+/?0.5%, [?1.4%,1.1%]) with EPID over predicting. The results for the 140 SID showed excellent agreement throughout except at the 11 to 115 and 151 field sizes where differences were: ?10.6%, ?6.0% and ?5.8%. The differences were also most pronounced for the 11 at 100 SID. They were ?7.4% and ?11.5% for 6X and 10X, respectively. The Gamma (3%, 1mm) for three clinical plans improved by 8.7+/?1.8%. Conclusion: Results indicate that imager output factor measurements at any SID of high dose rate SRS/SBRT are quite reliable for portal dosimetry plan verification except for the smallest fields. This work was not funded by Varian Oncology Systems. Some authors have other work partly funded by Varian Oncology Systems.

  12. Wind energy conversion system analysis model (WECSAM) computer program documentation

    SciTech Connect (OSTI)

    Downey, W T; Hendrick, P L

    1982-07-01

    Described is a computer-based wind energy conversion system analysis model (WECSAM) developed to predict the technical and economic performance of wind energy conversion systems (WECS). The model is written in CDC FORTRAN V. The version described accesses a data base containing wind resource data, application loads, WECS performance characteristics, utility rates, state taxes, and state subsidies for a six state region (Minnesota, Michigan, Wisconsin, Illinois, Ohio, and Indiana). The model is designed for analysis at the county level. The computer model includes a technical performance module and an economic evaluation module. The modules can be run separately or together. The model can be run for any single user-selected county within the region or looped automatically through all counties within the region. In addition, the model has a restart capability that allows the user to modify any data-base value written to a scratch file prior to the technical or economic evaluation. Thus, any user-supplied data for WECS performance, application load, utility rates, or wind resource may be entered into the scratch file to override the default data-base value. After the model and the inputs required from the user and derived from the data base are described, the model output and the various output options that can be exercised by the user are detailed. The general operation is set forth and suggestions are made for efficient modes of operation. Sample listings of various input, output, and data-base files are appended. (LEW)

  13. Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-01-01

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.

  14. Method for enhancing low frequency output of impulsive type seismic energy sources and its application to a seismic energy source for use while drilling

    DOE Patents [OSTI]

    Radtke, Robert P; Stokes, Robert H; Glowka, David A

    2014-12-02

    A method for operating an impulsive type seismic energy source in a firing sequence having at least two actuations for each seismic impulse to be generated by the source. The actuations have a time delay between them related to a selected energy frequency peak of the source output. One example of the method is used for generating seismic signals in a wellbore and includes discharging electric current through a spark gap disposed in the wellbore in at least one firing sequence. The sequence includes at least two actuations of the spark gap separated by an amount of time selected to cause acoustic energy resulting from the actuations to have peak amplitude at a selected frequency.

  15. Adaptive model predictive process control using neural networks

    DOE Patents [OSTI]

    Buescher, K.L.; Baum, C.C.; Jones, R.D.

    1997-08-19

    A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data. 46 figs.

  16. Adaptive model predictive process control using neural networks

    DOE Patents [OSTI]

    Buescher, Kevin L. (Los Alamos, NM); Baum, Christopher C. (Mazomanie, WI); Jones, Roger D. (Espanola, NM)

    1997-01-01

    A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data.

  17. Neural node network and model, and method of teaching same

    DOE Patents [OSTI]

    Parlos, Alexander G. (College Station, TX); Atiya, Amir F. (College Station, TX); Fernandez, Benito (Austin, TX); Tsai, Wei K. (Irvine, CA); Chong, Kil T. (College Station, TX)

    1995-01-01

    The present invention is a fully connected feed forward network that includes at least one hidden layer 16. The hidden layer 16 includes nodes 20 in which the output of the node is fed back to that node as an input with a unit delay produced by a delay device 24 occurring in the feedback path 22 (local feedback). Each node within each layer also receives a delayed output (crosstalk) produced by a delay unit 36 from all the other nodes within the same layer 16. The node performs a transfer function operation based on the inputs from the previous layer and the delayed outputs. The network can be implemented as analog or digital or within a general purpose processor. Two teaching methods can be used: (1) back propagation of weight calculation that includes the local feedback and the crosstalk or (2) more preferably a feed forward gradient decent which immediately follows the output computations and which also includes the local feedback and the crosstalk. Subsequent to the gradient propagation, the weights can be normalized, thereby preventing convergence to a local optimum. Education of the network can be incremental both on and off-line. An educated network is suitable for modeling and controlling dynamic nonlinear systems and time series systems and predicting the outputs as well as hidden states and parameters. The educated network can also be further educated during on-line processing.

  18. Neural node network and model, and method of teaching same

    DOE Patents [OSTI]

    Parlos, A.G.; Atiya, A.F.; Fernandez, B.; Tsai, W.K.; Chong, K.T.

    1995-12-26

    The present invention is a fully connected feed forward network that includes at least one hidden layer. The hidden layer includes nodes in which the output of the node is fed back to that node as an input with a unit delay produced by a delay device occurring in the feedback path (local feedback). Each node within each layer also receives a delayed output (crosstalk) produced by a delay unit from all the other nodes within the same layer. The node performs a transfer function operation based on the inputs from the previous layer and the delayed outputs. The network can be implemented as analog or digital or within a general purpose processor. Two teaching methods can be used: (1) back propagation of weight calculation that includes the local feedback and the crosstalk or (2) more preferably a feed forward gradient decent which immediately follows the output computations and which also includes the local feedback and the crosstalk. Subsequent to the gradient propagation, the weights can be normalized, thereby preventing convergence to a local optimum. Education of the network can be incremental both on and off-line. An educated network is suitable for modeling and controlling dynamic nonlinear systems and time series systems and predicting the outputs as well as hidden states and parameters. The educated network can also be further educated during on-line processing. 21 figs.

  19. Use of ARM observations and numerical models to determine radiative and latent heating profiles of mesoscale convective systems for general circulation models

    SciTech Connect (OSTI)

    Houze, Jr., Robert A.

    2013-11-13

    We examined cloud radar data in monsoon climates, using cloud radars at Darwin in the Australian monsoon, on a ship in the Bay of Bengal in the South Asian monsoon, and at Niamey in the West African monsoon. We followed on with a more in-depth study of the continental MCSs over West Africa. We investigated whether the West African anvil clouds connected with squall line MCSs passing over the Niamey ARM site could be simulated in a numerical model by comparing the observed anvil clouds to anvil structures generated by the Weather Research and Forecasting (WRF) mesoscale model at high resolution using six different ice-phase microphysical schemes. We carried out further simulations with a cloud-resolving model forced by sounding network budgets over the Niamey region and over the northern Australian region. We have devoted some of the effort of this project to examining how well satellite data can determine the global breadth of the anvil cloud measurements obtained at the ARM ground sites. We next considered whether satellite data could be objectively analyzed to so that their large global measurement sets can be systematically related to the ARM measurements. Further differences were detailed between the land and ocean MCS anvil clouds by examining the interior structure of the anvils with the satellite-detected the CloudSat Cloud Profiling Radar (CPR). The satellite survey of anvil clouds in the Indo-Pacific region was continued to determine the role of MCSs in producing the cloud pattern associated with the MJO.

  20. Modeling a Typical Winter-time Dust Event over the Arabian Peninsula and the Red Sea

    SciTech Connect (OSTI)

    Kalenderski, S.; Stenchikov, G.; Zhao, Chun

    2013-02-20

    We used WRF-Chem, a regional meteorological model coupled with an aerosol-chemistry component, to simulate various aspects of the dust phenomena over the Arabian Peninsula and Red Sea during a typical winter-time dust event that occurred in January 2009. The model predicted that the total amount of emitted dust was 18.3 Tg for the entire dust outburst period and that the two maximum daily rates were ~2.4 Tg/day and ~1.5 Tg/day, corresponding to two periods with the highest aerosol optical depth that were well captured by ground- and satellite-based observations. The model predicted that the dust plume was thick, extensive, and mixed in a deep boundary layer at an altitude of 3-4 km. Its spatial distribution was modeled to be consistent with typical spatial patterns of dust emissions. We utilized MODIS-Aqua and Solar Village AERONET measurements of the aerosol optical depth (AOD) to evaluate the radiative impact of aerosols. Our results clearly indicated that the presence of dust particles in the atmosphere caused a significant reduction in the amount of solar radiation reaching the surface during the dust event. We also found that dust aerosols have significant impact on the energy and nutrient balances of the Red Sea. Our results showed that the simulated cooling under the dust plume reached 100 W/m2, which could have profound effects on both the sea surface temperature and circulation. Further analysis of dust generation and its spatial and temporal variability is extremely important for future projections and for better understanding of the climate and ecological history of the Red Sea.