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Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

ProgramResources Dataset | Open Energy Information  

Open Energy Info (EERE)

Resource Assessments + BioPower Atlas and BioFuels Atlas + Biomass Energy Data Book + Building Component Library + Building Energy Tools Software Directory + Building...

2

Development of Regional Wind Resource and Wind Plant Output Datasets...  

NLE Websites -- All DOE Office Websites (Extended Search)

50-47676 March 2010 Development of Regional Wind Resource and Wind Plant Output Datasets Final Subcontract Report 15 October 2007 - 15 March 2009 3TIER Seattle, Washington National...

3

PHOTOGRAMMETRIC MODEL ORIENTATION USING LIDAR DATASET  

E-Print Network (OSTI)

Today the LIDAR dataset is a powerful alternative to be applied in the optimization of photogrammetric mapping techniques. The complementary nature of LIDAR and photogrammetry allows for the optimal performance of many applications to extract 3D spatial information. For example, photogrammetry image permits accurate borders building extraction. In addition, LIDAR provides a number of accurate 3D points that describe some information about physical building surfaces. These properties show the possibility of combining data from both sensors to arrive at a more robust and complete reconstruction of 3D objects in many applications such as monoplotting, orthophoto generation, surface reconstruction, etc. Photogrammetric procedures need the exterior parameters of images (EOP) for extracting mapping information. Despite of the availability of GPS/INS systems, which greatly assist in direct geo-referencing of the acquired imagery, the majority of commercial available photogrammetric system needs control information to perform photogrammetric mapping techniques. Regarding the accuracy improvement of LIDAR systems in the recent years, LIDAR data is considered a viable supply of photogrammetric control. This paper presents a methodology for using the centroids of building roof as control points in photogrammetric model orientation. The centroid is equivalent to a single control point with 3D coordinates allowing its use in traditional photogrammetric systems. In the experiments performed, the obtained results confirmed the feasibility of the proposed methodology to be applied in geo-referencing of photogrammetric images using LIDAR dataset.

E. Mitishita; A. Habib; A. Machado

2008-01-01T23:59:59.000Z

4

Data Assimilation and Model Evaluation Experiment Datasets  

Science Conference Proceedings (OSTI)

The Institute for Naval Oceanography, in cooperation with Naval Research Laboratories and universities, executed the Data Assimilation and Model Evaluation Experiment (DAMÉE) for the Gulf Stream region during fiscal years 1991–1993. Enormous ...

Chung-Chieng A. Lai; Wen Qian; Scott M. Glenn

1994-05-01T23:59:59.000Z

5

Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint  

DOE Green Energy (OSTI)

Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

2013-10-01T23:59:59.000Z

6

A Comparison between General Circulation Model Simulations Using Two Sea Surface Temperature Datasets for January 1979  

Science Conference Proceedings (OSTI)

Simulations with the UCLA atmospheric general circulation model (AGCM) using two different global sea surface temperature (SST) datasets for January 1979 are compared. One of these datasets is based on COADS (SSTs) at locations where there are ...

Tomoaki Ose; Carlos R. Mechoso; David Halpern

1994-04-01T23:59:59.000Z

7

Nuclear Mass Datasets and Models at nuclearmasses.org  

DOE Data Explorer (OSTI)

This online repository for nuclear mass information allows nuclear researchers to upload their own mass values, store then, share them with colleagues, and, in turn, visualize and analyze the work of others. The Resources link provides access to published information or tools on other websites. The Contributions page is where users will find software, documents, experimental mass data sets, and theoretical mass models that have been uploaded for sharing with the scientific community.

8

Equilibrium Response and Transient Dynamics Datasets from VEMAP, the Vegetation/Ecosystem Modeling and Analysis Project  

DOE Data Explorer (OSTI)

Users of the VEMAP Portal can access input files of numerical data that include monthly and daily files of geographic data, soil and site files, scenario files, etc. Model results from Phase I, the Equilibrium Response datasets, are available through the NCAR anonymous FTP site at http://www.cgd.ucar.edu/vemap/vresults.html. Phase II, Transient Dynamics, include climate datasets, models results, and analysis tools. Many supplemental files are also available from the main data page at http://www.cgd.ucar.edu/vemap/datasets.html.

9

A Conterminous United States Multilayer Soil Characteristics Dataset for Regional Climate and Hydrology Modeling  

Science Conference Proceedings (OSTI)

Soil information is now widely required by many climate and hydrology models and soil–vegetation–atmosphere transfer schemes. This paper describes the development of a multilayer soil characteristics dataset for the conterminous United States (...

Douglas A. Miller; Richard A. White

1998-01-01T23:59:59.000Z

10

Modeling resource-coupled computations  

Science Conference Proceedings (OSTI)

Increasingly massive datasets produced by simulations beg the question How will we connect this data to the computational and display resources that support visualization and analysis? This question is driving research into new approaches to allocating ... Keywords: coupled computations, data intensive computing, high-performance computing, simulation

Mark Hereld; Joseph A. Insley; Eric C. Olson; Michael E. Papka; Thomas D. Uram; Venkatram Vishwanath

2009-11-01T23:59:59.000Z

11

Development of Regional Wind Resource and Wind Plant Output Datasets: Final Subcontract Report, 15 October 2007 - 15 March 2009  

DOE Green Energy (OSTI)

This report describes the development of the necessary and needed wind and solar datasets used in the Western Wind and Solar Integration Study (WWSIS).

3TIER, Seattle, Washington

2010-03-01T23:59:59.000Z

12

Better Buildings Neighborhood Program: Business Model Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Business Model Business Model Resources to someone by E-mail Share Better Buildings Neighborhood Program: Business Model Resources on Facebook Tweet about Better Buildings Neighborhood Program: Business Model Resources on Twitter Bookmark Better Buildings Neighborhood Program: Business Model Resources on Google Bookmark Better Buildings Neighborhood Program: Business Model Resources on Delicious Rank Better Buildings Neighborhood Program: Business Model Resources on Digg Find More places to share Better Buildings Neighborhood Program: Business Model Resources on AddThis.com... Getting Started Assess the Market Establish Goals & Objectives Develop Plans of Action Business Model Resources Driving Demand Financing Workforce Development Business Model Resources Business Models Workshop and Materials

13

Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework  

DOE Data Explorer (OSTI)

Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individuals data uploads. Currently the Biofuel Distribution collection includes 59 items, of which 21 are listed as datasets and five as models.

14

Development of a China Dataset of Soil Hydraulic Parameters Using Pedotransfer Functions for Land Surface Modeling  

Science Conference Proceedings (OSTI)

The objective of this study is to develop a dataset of the soil hydraulic parameters associated with two empirical soil functions (i.e., a water retention curve and hydraulic conductivity) using multiple pedotransfer functions (PTFs). The dataset ...

Yongjiu Dai; Wei Shangguan; Qingyun Duan; Baoyuan Liu; Suhua Fu; Guoyue Niu

2013-06-01T23:59:59.000Z

15

A Joint Estimate of the Precipitation Climate Signal in Europe Using Eight Regional Models and Five Observational Datasets  

Science Conference Proceedings (OSTI)

This paper presents an analysis of the precipitation climate signal in Europe emerging from a simulation of heterogeneous regional climate models (RCMs) using five observational datasets as the reference for present day climate conditions. ...

Francisco J. Tapiador

2010-04-01T23:59:59.000Z

16

Observations of Surface Forcing from the Subduction Experiment: A Comparison with Global Model Products and Climatological Datasets  

Science Conference Proceedings (OSTI)

Reliable estimates of the exchange of heat, moisture, and momentum across the air–sea interface are essential in assessing the local “representativeness” of the surface forcing fields depicted by global model and climatological datasets. The ...

K. A. Moyer; R. A. Weller

1997-11-01T23:59:59.000Z

17

Geothermal Resource Conceptual Models Using Surface Exploration Data | Open  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Geothermal Resource Conceptual Models Using Surface Exploration Data Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Geothermal Resource Conceptual Models Using Surface Exploration Data Abstract The most important element of an analysis to target a geothermal well or assess resource capacity is a resource conceptual model consistent with the available information. A common alternative approach to both targeting and assessment is to focus on a data anomaly or, in some cases, several stacked anomalies. However, even stacked anomalies are commonly misleading without

18

Development of Eastern Regional Wind Resource and Wind Plant Output Datasets: March 3, 2008 -- March 31, 2010  

DOE Green Energy (OSTI)

The objective of this project was to provide wind resource inputs to the Eastern Wind Integration and Transmission Study.

Brower, M.

2009-12-01T23:59:59.000Z

19

Modeling renewable energy resources in integrated resource planning  

SciTech Connect

Including renewable energy resources in integrated resource planning (IRP) requires that utility planning models properly consider the relevant attributes of the different renewable resources in addition to conventional supply-side and demand-side options. Otherwise, a utility`s resource plan is unlikely to have an appropriate balance of the various resource options. The current trend toward regulatory set-asides for renewable resources is motivated in part by the perception that the capabilities of current utility planning models are inadequate with regard to renewable resources. Adequate modeling capabilities and utility planning practices are a necessary prerequisite to the long-term penetration of renewable resources into the electric utility industry`s resource mix. This report presents a review of utility planning models conducted for the National Renewable Energy Laboratory (NREL). The review examines the capabilities of utility planning models to address key issues in the choice between renewable resources and other options. The purpose of this review is to provide a basis for identifying high priority areas for advancing the state of the art.

Logan, D.; Neil, C.; Taylor, A. [RCG/Hagler, Bailly, Inc., Boulder, CO (United States)

1994-06-01T23:59:59.000Z

20

Hydropower Resource Assessment Modeling Results  

DOE Green Energy (OSTI)

The Hydropower Evaluation Software uses the Federal Energy Regulatory Commission?s Hydroelectric Power Resource Assessment database to identify sites with undeveloped hydropower capacity and the estimated megawatts of undeveloped capacity at each site. The software integrates this information with environmental values from the National Park Service?s National Rivers Inventory database. Other constraints to development that are modeled include Federal and state legislative protection for river segments that have been identified as being wild and scenic river segments. River segments containing threatened and/or endangered wildlife and fish are also modeled for their influence on hydropower development. The amount that each attribute affects the likelihood of development is dependent on the prior development of a site.

A. M. Conner; J. E. Francfort

1999-07-06T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

An Experimental Field Dataset with Buoyant, Neutral, and Dense Gas Atmospheric Releases and Model Comparisons in Low–Wind Speed (Diffusion) Conditions  

Science Conference Proceedings (OSTI)

A unique field dataset from a series of low–wind speed experiments, modeling efforts using three commonly used models to replicate these releases, and statistical analysis of how well these models were able to predict the plume concentrations is ...

Veronica E. Wannberg; Gustavious Williams; Patrick Sawyer; Richard Venedam

2010-09-01T23:59:59.000Z

22

Correlated Resource Models of Internet End Hosts  

E-Print Network (OSTI)

Understanding and modelling resources of Internet end hosts is essential for the design of desktop software and Internet-distributed applications. In this paper we develop a correlated resource model of Internet end hosts based on real trace data taken from the SETI@home project. This data covers a 5-year period with statistics for 2.7 million hosts. The resource model is based on statistical analysis of host computational power, memory, and storage as well as how these resources change over time and the correlations between them. We find that resources with few discrete values (core count, memory) are well modeled by exponential laws governing the change of relative resource quantities over time. Resources with a continuous range of values are well modeled with either correlated normal distributions (processor speed for integer operations and floating point operations) or log-normal distributions (available disk space). We validate and show the utility of the models by applying them to a resource allocation ...

Heien, Eric M; David, Anderson

2010-01-01T23:59:59.000Z

23

TWC International Open Government Dataset Catalog  

Science Conference Proceedings (OSTI)

The TWC International Open Government Dataset Catalog (IOGDC) integrates a diverse selection of more than 70 government dataset catalogs from around the world. IOGDC demonstrates a practical dataset catalog metadata model for integrating diverse dataset ... Keywords: government data, linked data, metadata, open government

John S. Erickson; Eric Rozell; Yongmei Shi; Jin Zheng; Li Ding; James A. Hendler

2011-09-01T23:59:59.000Z

24

An Experiment with an Advanced Surface Parameterization in a Mesobeta-Scale Model. Part III: Comparison with the HAPEX-MOBILHY Dataset  

Science Conference Proceedings (OSTI)

In this last part, a detailed comparison of the model predictions with all the HAPEX-MOBILHY dataset available within a mesoscale subdomain is carried out. The simulation subdomain encompasses a fraction of a pine forest and of a nearby ...

J. Noilhan; P. Lacarrčre; P. Bougeault

1991-10-01T23:59:59.000Z

25

Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought  

Science Conference Proceedings (OSTI)

Crop growth models are increasingly used as part of research into areas such as climate change and bioenergy, so it is particularly important to understand the effects of environmental inputs on model results. Rather than investigating the effects of ... Keywords: Crop growth model, Drought, Input data, Parameterisation, Sensitivity analysis, Soil water

Mark Pogson; Astley Hastings; Pete Smith

2012-03-01T23:59:59.000Z

26

World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Multi-Model Dataset Archive at PCMDI (Program for Climate Model Diagnosis and Intercomparison)  

DOE Data Explorer (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)

27

Internet Resource Pricing Models, Mechanisms, and Methods  

E-Print Network (OSTI)

With the fast development of video and voice network applications, CDN (Content Distribution Networks) and P2P (Peer-to-Peer) content distribution technologies have gradually matured. How to effectively use Internet resources thus has attracted more and more attentions. For the study of resource pricing, a whole pricing strategy containing pricing models, mechanisms and methods covers all the related topics. We first introduce three basic Internet resource pricing models through an Internet cost analysis. Then, with the evolution of service types, we introduce several corresponding mechanisms which can ensure pricing implementation and resource allocation. On network resource pricing methods, we discuss the utility optimization in economics, and emphasize two classes of pricing methods (including system optimization and entities' strategic optimizations). Finally, we conclude the paper and forecast the research direction on pricing strategy which is applicable to novel service situation in the near future.

He, Huan; Liu, Ying

2011-01-01T23:59:59.000Z

28

A Statistical Downscaling Model for Forecasting Summer Rainfall in China from DEMETER Hindcast Datasets  

Science Conference Proceedings (OSTI)

A new statistical downscaling (SD) scheme is proposed to predict summertime multisite rainfall measurements in China. The potential predictors are multiple large-scale variables from operational dynamical model output. A key step in this SD scheme ...

Huopo Chen; Jianqi Sun; Huijun Wang

2012-06-01T23:59:59.000Z

29

Hydrologic implications of different large-scale meteorological model forcing datasets in mountainous regions  

Science Conference Proceedings (OSTI)

Process-based hydrologic models require extensive meteorological forcing data, including data on precipitation, temperature, shortwave and longwave radiation, humidity, surface pressure and wind speed. Observations of precipitation and temperature ...

Naoki Mizukami; Martyn Clark; Andrew Slater; Levi Brekke; Marketa Elsner; Jeffrey Arnold; Subhrendu Gangopadhyay

30

Calibrating a Land Surface Model of Varying Complexity Using Multicriteria Methods and the Cabauw Dataset  

Science Conference Proceedings (OSTI)

The multicriteria methodology, which provides a means to estimate optimal ranges for land surface model parameter values via calibration, is evaluated. Following calibration, differences between schemes resulting from effective parameter values ...

Y. Xia; A. J. Pitman; H. V. Gupta; M. Leplastrier; A. Henderson-Sellers; L. A. Bastidas

2002-04-01T23:59:59.000Z

31

NREL: Transmission Grid Integration - Western Wind Dataset  

NLE Websites -- All DOE Office Websites (Extended Search)

Western Wind Dataset Western Wind Dataset Here you will find information about the Western Wind Dataset, including the methodology used to develop the dataset, the accuracy of the data, site selection, and power output. Alert! Important Note Obtain the Western Wind Dataset This dataset was originally created for the Western Wind and Solar Integration Study. These data are modeled data and not actual measured data. Learn more about the datasets including the similarities and differences between the Eastern and Western datasets and the differences from the NREL state wind maps. Methodology 3TIER created the Western Dataset with oversight and assistance from NREL. Numerical Weather Prediction (NWP) models were used to essentially recreate the historical weather for the western U.S. for 2004, 2005, and 2006. The

32

Fukushima Radiological Assessment Tool: Benchmarking Radiological Assessment and Dose Models using Fukushima Dataset  

Science Conference Proceedings (OSTI)

The Electric Power Research Institute (EPRI) is developing the Fukushima Radiological Assessment Tool (FRAT), a comprehensive database and software application for accessing, analyzing, and interpreting data related to radiological releases from the Fukushima Daiichi Nuclear Power Plant (NPP). This report documents the development of the FRAT to support the benchmarking of emergency response and dose modeling codes used by nuclear power plants, using radiological data from the Fukushima ...

2013-07-31T23:59:59.000Z

33

USLCI Interconnect Region Electricity datasets, 2008 Datasets...  

Open Energy Info (EERE)

spreadsheet are also included.

Datasets include generation and transmission of electricity for each of the interconnect regions.  It is representative of the year...

34

dataset | OpenEI  

Open Energy Info (EERE)

dataset dataset Dataset Summary Description No description given. Source NCDC Date Released November 01st, 2012 (2 years ago) Date Updated Unknown Keywords dataset NSRDB solar Data application/pdf icon NSRDB User Manual (pdf, 8.1 MiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating. Dataset Summary Description The Energy Statistics Database contains comprehensive energy statistics

35

Distributed Energy Resources Market Diffusion Model  

E-Print Network (OSTI)

International Journal of Distributed Energy Resources, 1 (Gas-Fired Distributed Energy Resources Characterizations.Firestone, R. (2004) Distributed Energy Resources Customer

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

2006-01-01T23:59:59.000Z

36

Comparing the GLC2000 and GeoCover LC land cover datasets for use in economic modelling of land use  

Science Conference Proceedings (OSTI)

This paper compares two recent near-global land cover (GLC) datasets, GLC 2000 and GeoCover LC, with differing resolutions (1km versus 30 m) for their potential usefulness in economic analyses of the determinants of land use. The comparisons are ...

G. C. Nelson; R. D. Robertson

2007-09-01T23:59:59.000Z

37

NREL: Transmission Grid Integration - Data and Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Data and Resources Data and Resources NREL offers the following transmission integration-related data and resources. Eastern Wind Dataset A key task of the Eastern Wind Integration and Transmission Study was to develop a dataset of three years of modeled time series wind speed and power. This dataset was designed to help energy professionals perform wind integration studies, compare potential wind sites spatially and temporally, and estimate power production from hypothetical wind plants. Western Wind Dataset A primary task of the Western Wind and Solar Integration Study was to produce a comprehensive dataset that could be used to model the build-out of potential wind plants in the Western United States. This dataset was designed to help energy professionals perform wind integration studies,

38

Datasets | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Datasets Education Grants Developers Data Apps Challenges International Classroom Education You are here Data.gov Communities Education Education Data and Tools Below is a...

39

System Advisor Model | OpenEI  

Open Energy Info (EERE)

Up Search Facebook icon Twitter icon System Advisor Model Dataset Summary Description Weather resource data for the United States for use in the System Advisor Model (SAM)....

40

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network (OSTI)

4.2.1 Individual TCL model . . . . . . . . . . . . . .4.2.2 Plant: The TCL population . . . . . . . .5 TCL Resource, Revenues & Costs 5.1 Chapter

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Geothermal resource conceptual models using surface exploration data | Open  

Open Energy Info (EERE)

Geothermal resource conceptual models using surface exploration data Geothermal resource conceptual models using surface exploration data Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Geothermal resource conceptual models using surface exploration data Abstract The most important element of an analysis to target a geothermal well or assess resource capacity is a resource conceptual model consistent with the available information. A common alternative approach to both targeting and assessment is to focus on a data anomaly or, in some cases, several stacked anomalies. However, even stacked anomalies are commonly misleading without support from a conceptual model. The most important element of a geothermal conceptual model is a predicted natural state isotherm pattern, especially in section view. Although inferring such an isotherm pattern at an

42

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

43

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

44

National Strategic Unconventional Resource Model | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model This is the second revision to the National Strategic Unconventional Resources Model that was developed in 2005-2006 to support the Task Force mandated by Congress in subsection 369(h) of the Energy Policy Act of 2005. The primary function of the first Model was to evaluate varying economic scenarios for four technologies: Surface Mining, Underground Mining, Modified In-Situ, and True In-Situ. In 2009 the Model was revised to update the cost data in the first Model. This second revision of the Model adds a fifth Hybrid technology that can be evaluated economically; and it also adds the capability of determining water requirements, CO2 production, and energy efficiency for the first four technologies. Subject to the

45

National Strategic Unconventional Resource Model | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model This is the second revision to the National Strategic Unconventional Resources Model that was developed in 2005-2006 to support the Task Force mandated by Congress in subsection 369(h) of the Energy Policy Act of 2005. The primary function of the first Model was to evaluate varying economic scenarios for four technologies: Surface Mining, Underground Mining, Modified In-Situ, and True In-Situ. In 2009 the Model was revised to update the cost data in the first Model. This second revision of the Model adds a fifth Hybrid technology that can be evaluated economically; and it also adds the capability of determining water requirements, CO2 production, and energy efficiency for the first four technologies. Subject to the

46

Determining the optimal spatial distribution of weather station networks for hydrological modelling purposes using RCM datasets: An experimental approach  

Science Conference Proceedings (OSTI)

In many hydrological studies, the main limiting factor in model performance is the low meteorological data quality. In some cases, no meteorological records even exist. Installing weather stations becomes a necessity in these areas when water ...

Richard Arsenault; François Brissette

47

Wind resource assessment with a mesoscale non-hydrostatic model  

E-Print Network (OSTI)

Wind resource assessment with a mesoscale non- hydrostatic model Vincent Guénard, Center for Energy is developed for assessing the wind resource and its uncertainty. The work focuses on an existing wind farm mast measurements. The wind speed and turbulence fields are discussed. It is shown that the k

Paris-Sud XI, Université de

48

New Models Help Optimize Development of Bakken Shale Resources | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Models Help Optimize Development of Bakken Shale Resources Models Help Optimize Development of Bakken Shale Resources New Models Help Optimize Development of Bakken Shale Resources February 7, 2012 - 12:00pm Addthis Washington, DC - Exploration and field development in the largest continuous oil play in the lower 48 states, located in North Dakota and eastern Montana, will be guided by new geo-models developed with funding from the Department of Energy's (DOE) Office of Fossil Energy (FE). The three-year project to develop exploration and reservoir models for the Bakken Shale resource play was conducted by the Colorado School of Mines (CSM), through research funded by FE's Oil and Natural Gas Program. A "play" is a shale formation containing significant accumulations of natural gas or oil. The U.S. Geological Survey estimates the Bakken Shale

49

New Models Help Optimize Development of Bakken Shale Resources | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

New Models Help Optimize Development of Bakken Shale Resources New Models Help Optimize Development of Bakken Shale Resources New Models Help Optimize Development of Bakken Shale Resources February 7, 2012 - 12:00pm Addthis Washington, DC - Exploration and field development in the largest continuous oil play in the lower 48 states, located in North Dakota and eastern Montana, will be guided by new geo-models developed with funding from the Department of Energy's (DOE) Office of Fossil Energy (FE). The three-year project to develop exploration and reservoir models for the Bakken Shale resource play was conducted by the Colorado School of Mines (CSM), through research funded by FE's Oil and Natural Gas Program. A "play" is a shale formation containing significant accumulations of natural gas or oil. The U.S. Geological Survey estimates the Bakken Shale

50

Representative well models for eight geothermal-resource areas  

DOE Green Energy (OSTI)

Representative well models have been constructed for eight major geothermal-resource areas. The models define representative times and costs associated with the individual operations that can be expected during drilling and completion of geothermal wells. The models were made for and have been used to evaluate the impacts of potential new technologies. The nature, construction, and validation of the models are presented.

Carson, C.C.; Lin, Y.T.; Livesay, B.J.

1983-02-01T23:59:59.000Z

51

Model Performance of Downscaling 1999–2004 Hydrometeorological Fields to the Upper Rio Grande Basin Using Different Forcing Datasets  

Science Conference Proceedings (OSTI)

This study downscaled more than five years of data (1999–2004) for hydrometeorological fields over the upper Rio Grande basin (URGB) to a 4-km resolution using a regional model [fifth-generation Pennsylvania State University–National Center for ...

J. Li; X. Gao; S. Sorooshian

2008-08-01T23:59:59.000Z

52

Modeling, Analysis, and Control of Demand Response Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling, Analysis, and Control of Demand Response Resources Speaker(s): Johanna Mathieu Date: April 27, 2012 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact: Sila...

53

Developing High-Quality Field Program Sounding Datasets  

Science Conference Proceedings (OSTI)

Enormous resources of time, effort, and finances are expended in collecting field program rawinsonde (sonde) datasets. Correcting the data and performing quality control (QC) in a timely fashion after the field phase of an experiment are important for ...

Paul E. Ciesielski; Patrick T. Haertel; Richard H. Johnson; Junhong Wang; Scot M. Loehrer

2012-03-01T23:59:59.000Z

54

OpenEI Community - datasets  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Utility Rate OpenEI Community...

55

OpenEI Community - dataset  

Open Energy Info (EERE)

building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Utility Rate OpenEI Community...

56

Fluxnet Synthesis Dataset Collaboration Infrastructure  

E-Print Network (OSTI)

Dataset Collaboration Infrastructure Deb Agarwal (LBNL),for the support infrastructure. As a result of this effort,

Agarwal, Deborah A.

2009-01-01T23:59:59.000Z

57

Experimental Datasets from Chemical Thermodynamics  

E-Print Network (OSTI)

Mar 29, 2005 ... Optimization Online. Experimental Datasets from Chemical Thermodynamics. Evgenii Rudnyi (Evgenii ***at*** Rudnyi.Ru). Abstract: I have ...

58

A new model for allocating resources to scheduled lightpath demands  

Science Conference Proceedings (OSTI)

Recent research has clearly established that holding-time-aware routing-and-wavelength-assignment (RWA) schemes lead to significant improvements in resource utilization for scheduled traffic. Two different models have been proposed for scheduled traffic ... Keywords: Routing and wavelength assignment, Scheduled traffic model, Segmented sliding window model, Wavelength division multiplexing

Ying Chen; Arunita Jaekel; Ataul Bari

2011-09-01T23:59:59.000Z

59

Verification and Intercomparison of Multimodel Simulated Land Surface Hydrological Datasets over the United States  

Science Conference Proceedings (OSTI)

Several land surface datasets, such as the observed Illinois soil moisture dataset; three retrospective offline run datasets from the Noah land surface model (LSM), Variable Infiltration Capacity (VIC) LSM, and Climate Prediction Center leaky ...

Yun Fan; Huug M. van den Dool; Wanru Wu

2011-08-01T23:59:59.000Z

60

Modeling Through Shared Resources, No High-Fashion Experience Required |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Modeling Through Shared Resources, No High-Fashion Experience Modeling Through Shared Resources, No High-Fashion Experience Required Modeling Through Shared Resources, No High-Fashion Experience Required May 30, 2013 - 10:07am Addthis NETL high-performance computer clusters at Oregon State University. NETL high-performance computer clusters at Oregon State University. Modeling - the computer kind, not the runway kind - can help researchers predict particle movement, enabling improvements in the design of components used in energy production. To give graduate students experience modeling these systems, the National Energy Technology Laboratory (NETL) has placed several high-performance computer clusters at Oregon State University. Oregon State professor Sourabh Apte and his graduate students use the computer clusters to work with NETL scientists on Department of

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Resources / Related Web Sites Resources / Related Web Sites Buildings-Related Resources Windows & Glazing Resources Energy-Related Resources International Resources Telephone Directories Buildings-Related Resources California Institute for Energy Efficiency (CIEE) Center for Building Science (CBS) at LBNL Department of Energy (DOE) DOE Energy Efficiency home page Energy Efficiency and Renewable Energy Clearinghouse Fact sheets in both HTML for standard web browsers and PDF format using Adobe Acrobat Reader (free). National Fenestration Rating Council home page Office of Energy Efficiency and Renewable Energy (EREN) back to top... Windows & Glazing Resources National Glass Association (NGA) LBNL Building Technologies Fenestration R&D news LBNL Center for Building Science (CBS) Newsletter

62

Better Buildings Neighborhood Program: Business Model Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

of Energy Efficiency, October 24-26, 2011. Workshop participants learned about various energy efficiency market business models and discussed strategies for long-term program...

63

Commercial Building Profiles

This dataset includes simulation...  

Open Energy Info (EERE)

number in public use datasets. Three modeling scenarios are available: existing stock (with 2003 historical weather), stock as if rebuilt new (with typical weather), and...

64

Resource Planning Model: An Integrated Resource Planning and Dispatch Tool for Regional Electric Systems  

Science Conference Proceedings (OSTI)

This report introduces a new capacity expansion model, the Resource Planning Model (RPM), with high spatial and temporal resolution that can be used for mid- and long-term scenario planning of regional power systems. Although RPM can be adapted to any geographic region, the report describes an initial version of the model adapted for the power system in Colorado. It presents examples of scenario results from the first version of the model, including an example of a 30%-by-2020 renewable electricity penetration scenario.

Mai, T.; Drury, E.; Eurek, K.; Bodington, N.; Lopez, A.; Perry, A.

2013-01-01T23:59:59.000Z

65

Visualization for public-resource climate modeling  

Science Conference Proceedings (OSTI)

Climateprediction.net aims to harness the spare CPU cycles of a million individual users' PCs to run a massive ensemble of climate simulations using an up-to-date, full-scale 3D atmosphere-ocean climate model. Although it has many similarities with other ...

D. A. Stainforth; D. Frame; J. P. R. B. Walton

2004-05-01T23:59:59.000Z

66

Solar Resource Characterization; Session: Modeling and Analysis (Presentation)  

DOE Green Energy (OSTI)

This project supports the Solar America Initiative by: (1) meeting increasing demands for expertise in and products on solar radiation data and models--production and distribution of reliable, accurate domestic and international solar resource data, benchmarking and cross-comparison of solar irradiance models; and coordination with the international community (IEA/SHC Task 36, WMO); (2) reducing data uncertainties and increasing temporal and spatial data resolutions; (3) developing and testing short term solar resource forecasts; (4) evaluating methods for producing long term data sets from short term observations; and (5) conducting measurement activities at selected sites.

Renne, D.

2008-04-01T23:59:59.000Z

67

Modeling Power System Operation with Intermittent Resources  

Science Conference Proceedings (OSTI)

Electricity generating companies and power system operators face the need to minimize total fuel cost or maximize total profit over a given time period. These issues become optimization problems subject to a large number of constraints that must be satisfied simultaneously. The grid updates due to smart-grid technologies plus the penetration of intermittent re- sources in electrical grid introduce additional complexity to the optimization problem. The Renewable Integration Model (RIM) is a computer model of interconnected power system. It is intended to provide insight and advice on complex power systems management, as well as answers to integration of renewable energy questions. This paper describes RIM basic design concept, solution method, and the initial suite of modules that it supports.

Marinovici, Maria C.; Kirkham, Harold; Glass, Kevin A.; Carlsen, Leif C.

2013-02-27T23:59:59.000Z

68

Ocean Datasets | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Ocean Datasets Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Ocean, Coast, and Great Lakes Planning...

69

The Visible Cement Dataset Homepage  

Science Conference Proceedings (OSTI)

NIST. The Visible Cement Dataset is a collection of three-dimensional data sets of hydrating cement, Plaster of Paris, and ...

2013-09-25T23:59:59.000Z

70

Dataset Categories | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Dataset Categories Agriculture Investment and Engineering Animals and Animal Systems Agriculture Fire Hazard Food Quality FoodNon-Food Agricultural Products Geography and...

71

resource | OpenEI Community  

Open Energy Info (EERE)

resource Home Rmckeel's picture Submitted by Rmckeel(297) Contributor 26 September, 2012 - 15:36 Energy API and dataset overview cleanweb hackathon resource webinar Today,...

72

Solar Resource Assessment: Databases, Measurements, Models, and Information Sources (Fact Sheet)  

DOE Green Energy (OSTI)

Fact sheet for Solar Resource Assessment Workshop, Denver CO, Oct 29, 2008: ?Solar Resource Assessment Databases, Measurements, Models, and Information Sources

Not Available

2008-10-01T23:59:59.000Z

73

Cloud resource usage: extreme distributions invalidating traditional capacity planning models  

Science Conference Proceedings (OSTI)

For years Capacity Planning professionals knew or suspected that various characteristics of computer usage have non-normal distribution. At the same time much of the traditional workload modeling and forecasting is based on mathematical techniques assuming ... Keywords: capacity planning, power law, probability distributions, resource usage, volatility

Charles Z. Loboz

2011-06-01T23:59:59.000Z

74

Modeling, Analysis, and Control of Demand Response Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling, Analysis, and Control of Demand Response Resources Modeling, Analysis, and Control of Demand Response Resources Speaker(s): Johanna Mathieu Date: April 27, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Sila Kiliccote While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can play an active role in power systems via Demand Response (DR). Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present a regression-based baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are

75

Liberia-NREL Biomass Resource Assessment | Open Energy Information  

Open Energy Info (EERE)

Liberia-NREL Biomass Resource Assessment Liberia-NREL Biomass Resource Assessment Jump to: navigation, search Logo: Liberia Biomass Resource Assessment Name Liberia Biomass Resource Assessment Agency/Company /Organization National Renewable Energy Laboratory Partner U.S. Agency for International Development Sector Energy Focus Area Biomass Topics Resource assessment, Background analysis Resource Type Dataset, Maps, Software/modeling tools Website http://www.nrel.gov/docs/fy09o Country Liberia Western Africa References Assessment of Biomass Resources in Liberia [1] Abstract This study was conducted to estimate the biomass resources currently and potentially available in the country and evaluate their contribution for power generation and the production of transportation fuels

76

Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Resources The DOE Information Center's current collection has more than 40,000 documents consisting of technical reports and historical materials that relate to DOE operations....

77

Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)  

DOE Data Explorer (OSTI)

The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsĆ data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

78

Modeling of customer adoption of distributed energy resources  

E-Print Network (OSTI)

Customer Adoption of Distributed Energy Resources Ozbek, A.Customer Adoption of Distributed Energy Resources Figure 39.Customer Adoption of Distributed Energy Resources REFERENCES

2001-01-01T23:59:59.000Z

79

Strategies for Energy Efficient Resource Management of Hybrid Programming Models  

Science Conference Proceedings (OSTI)

Many scientific applications are programmed using hybrid programming models that use both message-passing and shared-memory, due to the increasing prevalence of large-scale systems with multicore, multisocket nodes. Previous work has shown that energy efficiency can be improved using software-controlled execution schemes that consider both the programming model and the power-aware execution capabilities of the system. However, such approaches have focused on identifying optimal resource utilization for one programming model, either shared-memory or message-passing, in isolation. The potential solution space, thus the challenge, increases substantially when optimizing hybrid models since the possible resource configurations increase exponentially. Nonetheless, with the accelerating adoption of hybrid programming models, we increasingly need improved energy efficiency in hybrid parallel applications on large-scale systems. In this work, we present new software-controlled execution schemes that consider the effects of dynamic concurrency throttling (DCT) and dynamic voltage and frequency scaling (DVFS) in the context of hybrid programming models. Specifically, we present predictive models and novel algorithms based on statistical analysis that anticipate application power and time requirements under different concurrency and frequency configurations. We apply our models and methods to the NPB MZ benchmarks and selected applications from the ASC Sequoia codes. Overall, we achieve substantial energy savings (8.74% on average and up to 13.8%) with some performance gain (up to 7.5%) or negligible performance loss.

Li, Dong [ORNL; Supinski, Bronis de [Lawrence Livermore National Laboratory (LLNL); Schulz, Martin [Lawrence Livermore National Laboratory (LLNL); Nikolopoulos, Dimitrios S [Virginia Polytechnic Institute and State University; Cameron, Kirk W. [Virginia Polytechnic Institute and State University

2013-01-01T23:59:59.000Z

80

Energy API and dataset overview | OpenEI Community  

Open Energy Info (EERE)

Energy API and dataset overview Energy API and dataset overview Home > Groups > Developer Rmckeel's picture Submitted by Rmckeel(297) Contributor 26 September, 2012 - 14:36 cleanweb hackathon resource webinar Today, Ian Kalin, a presidential innovation fellow, and the OpenEI team recorded an "energy resource" overview for developers of upcoming hackathon events at SXSW Eco and in New York City. You can find this recorded webinar with recent developer resources (APIs, datasets, content) at the links below. Streaming webinar link: https://mmancusa.webex.com/mmancusa/ldr.php?AT=pb&SP=MC&rID=48240102&rKey=40d5d5d42cbfd4e4 Download webinar link: https://mmancusa.webex.com/mmancusa/lsr.php?AT=dw&SP=MC&rID=48240102&rKey=2b23a089b99927fc Time: 13 minutes If you are an application developer in the energy space, or know one,

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

datasets | OpenEI Community  

Open Energy Info (EERE)

datasets Home Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 Commercial and Residential Hourly Load Data Now Available on OpenEI building load building...

82

River Network Routing on the NHDPlus Dataset  

Science Conference Proceedings (OSTI)

The mapped rivers and streams of the contiguous United States are available in a geographic information system (GIS) dataset called National Hydrography Dataset Plus (NHDPlus). This hydrographic dataset has about 3 million river and water body ...

Cédric H. David; David R. Maidment; Guo-Yue Niu; Zong-Liang Yang; Florence Habets; Victor Eijkhout

2011-10-01T23:59:59.000Z

83

Energy Datasets | OpenEI  

Open Energy Info (EERE)

Datasets Datasets OpenEI users have contributed 846 energy datasets to date. Name Source Date Updated Overall Rating STIL2 Swedish Office Buildings Survey The STIL2 project has performed a survey of high performance office buildings in Sweden to provide energy efficiency data for non-residential premises. The data covers... Swedish Energy Agency 04/09/2010 803 National Solar Radiation Data Base The National Solar Radiation Data Base (NSRDB) is the most comprehensive collection of solar data freely available. The 1991 - 2005 NSRDB contains hourly solar radiation (... NREL 965 Energy Technology Cost and Performance Data This data indicates the range of recent cost estimates for renewable energy and other technologies. The estimates are shown in dollars per installed kilowatts of generating... NREL 08/06/2009 803

84

NREL: Transmission Grid Integration - Wind Integration Datasets  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Integration Datasets The Wind Integration Datasets provide energy professionals with a consistent set of wind profiles for the eastern United States and the western United...

85

Modeling of customer adoption of distributed energy resources  

SciTech Connect

This report describes work completed for the California Energy Commission (CEC) on the continued development and application of the Distributed Energy Resources Customer Adoption Model (DER-CAM). This work was performed at Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) between July 2000 and June 2001 under the Consortium for Electric Reliability Technology Solutions (CERTS) Distributed Energy Resources Integration (DERI) project. Our research on distributed energy resources (DER) builds on the concept of the microgrid ({mu}Grid), a semiautonomous grouping of electricity-generating sources and end-use sinks that are placed and operated for the benefit of its members. Although a {mu}Grid can operate independent of the macrogrid (the utility power network), the {mu}Grid is usually interconnected, purchasing energy and ancillary services from the macrogrid. Groups of customers can be aggregated into {mu}Grids by pooling their electrical and other loads, and the most cost-effective combination of generation resources for a particular {mu}Grid can be found. In this study, DER-CAM, an economic model of customer DER adoption implemented in the General Algebraic Modeling System (GAMS) optimization software is used, to find the cost-minimizing combination of on-site generation customers (individual businesses and a {mu}Grid) in a specified test year. DER-CAM's objective is to minimize the cost of supplying electricity to a specific customer by optimizing the installation of distributed generation and the self-generation of part or all of its electricity. Currently, the model only considers electrical loads, but combined heat and power (CHP) analysis capability is being developed under the second year of CEC funding. The key accomplishments of this year's work were the acquisition of increasingly accurate data on DER technologies, including the development of methods for forecasting cost reductions for these technologies, and the creation of a credible example California {mu}Grid for use in this study and in future work. The work performed during this year demonstrates the viability of DER-CAM and of our approach to analyzing adoption of DER.

Marnay, Chris; Chard, Joseph S.; Hamachi, Kristina S.; Lipman, Timothy; Moezzi, Mithra M.; Ouaglal, Boubekeur; Siddiqui, Afzal S.

2001-08-01T23:59:59.000Z

86

Modeling of customer adoption of distributed energy resources  

SciTech Connect

This report describes work completed for the California Energy Commission (CEC) on the continued development and application of the Distributed Energy Resources Customer Adoption Model (DER-CAM). This work was performed at Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) between July 2000 and June 2001 under the Consortium for Electric Reliability Technology Solutions (CERTS) Distributed Energy Resources Integration (DERI) project. Our research on distributed energy resources (DER) builds on the concept of the microgrid ({mu}Grid), a semiautonomous grouping of electricity-generating sources and end-use sinks that are placed and operated for the benefit of its members. Although a {mu}Grid can operate independent of the macrogrid (the utility power network), the {mu}Grid is usually interconnected, purchasing energy and ancillary services from the macrogrid. Groups of customers can be aggregated into {mu}Grids by pooling their electrical and other loads, and the most cost-effective combination of generation resources for a particular {mu}Grid can be found. In this study, DER-CAM, an economic model of customer DER adoption implemented in the General Algebraic Modeling System (GAMS) optimization software is used, to find the cost-minimizing combination of on-site generation customers (individual businesses and a {mu}Grid) in a specified test year. DER-CAM's objective is to minimize the cost of supplying electricity to a specific customer by optimizing the installation of distributed generation and the self-generation of part or all of its electricity. Currently, the model only considers electrical loads, but combined heat and power (CHP) analysis capability is being developed under the second year of CEC funding. The key accomplishments of this year's work were the acquisition of increasingly accurate data on DER technologies, including the development of methods for forecasting cost reductions for these technologies, and the creation of a credible example California {mu}Grid for use in this study and in future work. The work performed during this year demonstrates the viability of DER-CAM and of our approach to analyzing adoption of DER.

Marnay, Chris; Chard, Joseph S.; Hamachi, Kristina S.; Lipman, Timothy; Moezzi, Mithra M.; Ouaglal, Boubekeur; Siddiqui, Afzal S.

2001-08-01T23:59:59.000Z

87

Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)  

DOE Data Explorer (OSTI)

The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsĆ data uploads. Currently the Feedstock Logistics collection includes 38 items or links, of which eight are datasets.

88

Use of high performance computing resources for underwater acoustic modeling.  

Science Conference Proceedings (OSTI)

The majority of standard underwater propagation models provide a two?dimensional (range and depth) acoustic field for a single frequency point source. Computational resource demand increases considerably when the three?dimensional acoustic field of a broad?band spatially extended source is of interest. An upgrade of the standard parabolic equationmodel RAM for use in a high?performance computing (HPC) environment is discussed. A benchmarked upgraded version of RAM is used in the Louisiana Optical Network Initiative HPC?environment to model the three?dimensional acoustic field of a seismic airgun array. Four?dimensional visualization (time and space) of the generated data volume is also addressed. [Research supported by the Louisiana Optical Network Initiative

Anca M. Niculescu; Natalia A. Sidorovskaia; Peter Achi; Arslan M. Tashmukhambetov; George E. Ioup; Juliette W. Ioup

2009-01-01T23:59:59.000Z

89

Optimal Control of Distributed Energy Resources using Model Predictive Control  

Science Conference Proceedings (OSTI)

In an isolated power system (rural microgrid), Distributed Energy Resources (DERs) such as renewable energy resources (wind, solar), energy storage and demand response can be used to complement fossil fueled generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation. The problem is formulated as a multi-objective optimization problem with the goals of minimizing fuel costs and changes in power output of diesel generators, minimizing costs associated with low battery life of energy storage and maintaining system frequency at the nominal operating value. Two control modes are considered for controlling the energy storage to compensate either net load variability or wind variability. Model predictive control (MPC) is used to solve the aforementioned problem and the performance is compared to an open-loop look-ahead dispatch problem. Simulation studies using high and low wind profiles, as well as, different MPC prediction horizons demonstrate the efficacy of the closed-loop MPC in compensating for uncertainties in wind and demand.

Mayhorn, Ebony T.; Kalsi, Karanjit; Elizondo, Marcelo A.; Zhang, Wei; Lu, Shuai; Samaan, Nader A.; Butler-Purry, Karen

2012-07-22T23:59:59.000Z

90

Architectural Models for Resource Management in the Grid  

Science Conference Proceedings (OSTI)

The concept of coupling geographically distributed (high-end) resources for solving large-scale problems is becoming increasingly popular, forming what is popularly called grid computing. The management of resources in the grid environment becomes complex ...

Rajkumar Buyya; Steve J. Chapin; David C. DiNucci

2000-12-01T23:59:59.000Z

91

Modeling of customer adoption of distributed energy resources  

E-Print Network (OSTI)

energy resources imbalance energy market (of CAISO) imbalance energy revenue neutrality International Fuel Cell market analysis and information

2001-01-01T23:59:59.000Z

92

Evaluation of a Mesoscale Atmospheric Dispersion Modeling System with Observations from the 1980 Great Plains Mesoscale Tracer Field Experiment. Part I: Datasets and Meteorological Simulations  

Science Conference Proceedings (OSTI)

The Colorado State University mesoscale atmospheric dispersion (MAD) numerical modeling system, which consists of a prognostic mesoscale meteorological model coupled to a mesoscale Lagrangian particle dispersion model, has been used to simulate ...

Michael D. Moran; Roger A. Pielke

1996-03-01T23:59:59.000Z

93

A combined neural network and DEA for measuring efficiency of large scale datasets  

Science Conference Proceedings (OSTI)

Data Envelopment Analysis (DEA) is one of the most widely used methods in the measurement of the efficiency and productivity of Decision Making Units (DMUs). DEA for a large dataset with many inputs/outputs would require huge computer resources in terms ... Keywords: Back-propagation DEA, Data Envelopment Analysis, Large datasets, Neural networks

Ali Emrouznejad; Estelle Shale

2009-02-01T23:59:59.000Z

94

Reference Inflow Characterization for River Resource Reference Model (RM2)  

DOE Green Energy (OSTI)

Sandia National Laboratory (SNL) is leading an effort to develop reference models for marine and hydrokinetic technologies and wave and current energy resources. This effort will allow the refinement of technology design tools, accurate estimates of a baseline levelized cost of energy (LCoE), and the identification of the main cost drivers that need to be addressed to achieve a competitive LCoE. As part of this effort, Oak Ridge National Laboratory was charged with examining and reporting reference river inflow characteristics for reference model 2 (RM2). Published turbulent flow data from large rivers, a water supply canal and laboratory flumes, are reviewed to determine the range of velocities, turbulence intensities and turbulent stresses acting on hydrokinetic technologies, and also to evaluate the validity of classical models that describe the depth variation of the time-mean velocity and turbulent normal Reynolds stresses. The classical models are found to generally perform well in describing river inflow characteristics. A potential challenge in river inflow characterization, however, is the high variability of depth and flow over the design life of a hydrokinetic device. This variation can have significant effects on the inflow mean velocity and turbulence intensity experienced by stationary and bottom mounted hydrokinetic energy conversion devices, which requires further investigation, but are expected to have minimal effects on surface mounted devices like the vertical axis turbine device designed for RM2. A simple methodology for obtaining an approximate inflow characterization for surface deployed devices is developed using the relation umax=(7/6)V where V is the bulk velocity and umax is assumed to be the near-surface velocity. The application of this expression is recommended for deriving the local inflow velocity acting on the energy extraction planes of the RM2 vertical axis rotors, where V=Q/A can be calculated given a USGS gage flow time-series and stage vs. cross-section area rating relationship.

Neary, Vincent S [ORNL

2011-12-01T23:59:59.000Z

95

Preprocessing based statistical segmentation of MRA dataset  

Science Conference Proceedings (OSTI)

This paper describes a preprocessing mask technique based statistical mixture components segmentation method for extracting blood vessels from brain magnetic resonance angiography (MRA) dataset. The voxels whose intensity is high in the dataset belong ... Keywords: MIP, MRA, statistical segmentation

Fucang Jia; Shaorong Wang; Liyan Liu; Hua Li

2004-06-01T23:59:59.000Z

96

The CMS dataset bookkeeping service  

SciTech Connect

The CMS Dataset Bookkeeping Service (DBS) has been developed to catalog all CMS event data from Monte Carlo and Detector sources. It provides the ability to identify MC or trigger source, track data provenance, construct datasets for analysis, and discover interesting data. CMS requires processing and analysis activities at various service levels and the DBS system provides support for localized processing or private analysis, as well as global access for CMS users at large. Catalog entries can be moved among the various service levels with a simple set of migration tools, thus forming a loose federation of databases. DBS is available to CMS users via a Python API, Command Line, and a Discovery web page interfaces. The system is built as a multi-tier web application with Java servlets running under Tomcat, with connections via JDBC to Oracle or MySQL database backends. Clients connect to the service through HTTP or HTTPS with authentication provided by GRID certificates and authorization through VOMS. DBS is an integral part of the overall CMS Data Management and Workflow Management systems.

Afaq, Anzar,; /Fermilab; Dolgert, Andrew; /Cornell U., Phys. Dept.; Guo, Yuyi; /Fermilab; Jones, Chris; /Cornell U., Phys. Dept.; Kosyakov, Sergey; /Fermilab; Kuznetsov, Valentin; /Cornell U., Phys. Dept.; Lueking, Lee; /Fermilab; Riley, Dan; /Cornell U., Phys. Dept.; Sekhri, Vijay; /Fermilab

2007-10-01T23:59:59.000Z

97

A new evaluation measure for imbalanced datasets  

Science Conference Proceedings (OSTI)

The area of imbalanced datasets is still relatively new, and it is known that the use of overall accuracy is not an appropriate evaluation measure for imbalanced datasets, because of the dominating effect of the majority class. Although, researchers ... Keywords: ROC and cost sensitive learning, evaluation, imbalanced datasets

Cheng G. Weng; Josiah Poon

2008-11-01T23:59:59.000Z

98

A global coupled Eulerian-Lagrangian model and 1 1 km CO2 surface flux dataset for high-resolution atmospheric CO2 transport simulations  

Science Conference Proceedings (OSTI)

Abstract. We designed a method to simulate atmospheric CO2 concentrations at several continuous observation sites around the globe using surface fluxes at a very high spatial resolution. The simulations presented in this study were performed using the Global Eulerian-Lagrangian Coupled Atmospheric model (GELCA), comprising a Lagrangian particle dispersion model coupled to a global atmospheric tracer transport model with prescribed global surface CO2 flux maps at a 1 1 km resolution. The surface fluxes used in the simulations were prepared by assembling the individual components of terrestrial, oceanic and fossil fuel CO2 fluxes. This experimental setup (i.e. a transport model running at a medium resolution, coupled to a high-resolution Lagrangian particle dispersion model together with global surface fluxes at a very high resolution), which was designed to represent high-frequency variations in atmospheric CO2 concentration, has not been reported at a global scale previously. Two sensitivity experiments were performed: (a) using the global transport model without coupling to the Lagrangian dispersion model, and (b) using the coupled model with a reduced resolution of surface fluxes, in order to evaluate the performance of Eulerian-Lagrangian coupling and the role of high-resolution fluxes in simulating high-frequency variations in atmospheric CO2 concentrations. A correlation analysis between observed and simulated atmospheric CO2 concentrations at selected locations revealed that the inclusion of both Eulerian-Lagrangian coupling and highresolution fluxes improves the high-frequency simulations of the model. The results highlight the potential of a coupled Eulerian-Lagrangian model in simulating high-frequency atmospheric CO2 concentrations at many locations worldwide. The model performs well in representing observations of atmospheric CO2 concentrations at high spatial and temporal resolutions, especially for coastal sites and sites located close to sources of large anthropogenic emissions. While this study focused on simulations of CO2 concentrations, the model could be used for other atmospheric compounds with known estimated emissions.

Ganshin, A [Central Aerological Observatory; Oda, T [National Institute for Environmental Studies, Japan; Saito, M [National Institute for Environmental Studies, Japan; Maksyutov, S [National Institute for Environmental Studies, Japan; Valsala, V [National Institute for Environmental Studies, Japan; Andres, Robert Joseph [ORNL; Fischer, R [University of London; Lowry, D [University of London; Lukyanov, A [Central Aerological Observatory; Matsueda, H [Meteorological Research Institute, Japan; Nisbet, E [University of London; Rigby, M [University of Bristol, UK; Sawa, Y [Meteorological Research Institute, Japan; Toumi, R [Imperial College, London; Tsuboi, K [Meteorological Research Institute, Japan; Varlagin, A [A.N. Severtsov Institute of Ecology and Evolution, Russia; Zhuravlev, R [Central Aerological Observatory

2012-01-01T23:59:59.000Z

99

Modeling access to wind resources in the United States  

DOE Green Energy (OSTI)

To project the US potential to meet future electricity demands with wind energy, estimates of available wind resource and costs to access that resource are critical. The US Department of Energy (DOE) Energy Information Administration (EIA) annually estimates the US market penetration of wind in its Annual Energy Outlook series. For these estimates, the EIA uses wind resource data developed by the Pacific Northwest National Laboratory for each region of the country. However, the EIA multiplies the cost of windpower by several factors, some as large as 3, to account for resource quality, market factors associated with accessing the resource, electric grid impacts, and rapid growth in the wind industry. This paper examines the rationale behind these additional costs and suggests alternatives.

Short, W.D.

1999-10-20T23:59:59.000Z

100

Modelling renewable electric resources: A case study of wind  

DOE Green Energy (OSTI)

The central issue facing renewables in the integrated resource planning process is the appropriate assessment of the value of renewables to utility systems. This includes their impact on both energy and capacity costs (avoided costs), and on emissions and environmental impacts, taking account of the reliability, system characteristics, interactions (in dispatch), seasonality, and other characteristics and costs of the technologies. These are system-specific considerations whose relationships may have some generic implications. In this report, we focus on the reliability contribution of wind electric generating systems, measured as the amount of fossil capacity they can displace while meeting the system reliability criterion. We examine this issue for a case study system at different wind characteristics and penetration, for different years, with different system characteristics, and with different modelling techniques. In an accompanying analysis we also examine the economics of wind electric generation, as well as its emissions and social costs, for the case study system. This report was undertaken for the {open_quotes}Innovative IRP{close_quotes} program of the U.S. Department of Energy, and is based on work by both Union of Concerned Scientists (UCS) and Tellus Institute, including America`s Energy Choices and the UCS Midwest Renewables Project.

Bernow, S.; Biewald, B.; Hall, J.; Singh, D. [Tellus Institute, Boston, MA (United States)

1994-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Agency Datasets | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Networx Business Volume_FY2011_1st Qtr Networx Business Volume_FY2011_1st Qtr The dataset represents the Networx Universal and Enterprise business volume by contractor, agency, contract vehicle and month for the centralized billing account. This represents the business volume of each government agency that has ordered telecommunications services from the Networx contract. GSA Information and Communications Combined Federal Campaign, CFC, 2009 Information on donor contributions through the 2010 Combined Federal Campaign by local campaign. Data includes information on the number of donors, campaign costs, payroll deduction contributions, and recipient organizations. GSA Population Combined Federal Campaign, CFC, 2010 Information on donor contributions through the 2010 Combined Federal Campaign by local campaign. Data includes information on the number of donors, campaign costs, payroll deduction contributions, and recipient organizations.

102

Modeling of customer adoption of distributed energy resources  

E-Print Network (OSTI)

energy revenue neutrality International Fuel Cell market analysis and informationenergy market) price during hour h, type of day t, and month m ($/kWh) Distributed Energy Resource Technologies Information

2001-01-01T23:59:59.000Z

103

Resource allocation in cloud computing: model and algorithm  

Science Conference Proceedings (OSTI)

This paper provides an optimal approach to satisfy cloud user requests and schedule resources within cloud computing environment. The paper exploits the market concept into the interaction among the Software as a Service SaaS services providers, service ...

Chunlin Li; Layuan Li

2013-05-01T23:59:59.000Z

104

210 King Street: a dataset for integrated performance assessment  

Science Conference Proceedings (OSTI)

This paper presents a Building Information Modeling (BIM) re-creation of a designated heritage building located in Toronto, Canada. By taking advantage of BIM as a centralized database, which describes both geometric and semantic aspects of a building, ... Keywords: building information modeling, dataset, performance analysis, point cloud

Ramtin Attar; Venk Prabhu; Michael Glueck; Azam Khan

2010-04-01T23:59:59.000Z

105

Type B: Andesitic Volcanic Resource | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Type B: Andesitic Volcanic Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type B: Andesitic Volcanic Resource Dictionary.png Type B: Andesitic Volcanic Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources.[1] Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource

106

Ethiopia-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Ethiopia-DLR Resource Assessments Ethiopia-DLR Resource Assessments Jump to: navigation, search Name Ethiopia-DLR Cooperation Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/tt/desktopde Program Start 2001 Program End 2004 Country Ethiopia Eastern Africa References DLR-SWERA Resource Assessments[1] From 2001 to 2004 the German Aerospace Center (DLR) worked with Ethiopia on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme. References ↑ "DLR-SWERA Resource Assessments" Retrieved from "http://en.openei.org/w/index.php?title=Ethiopia-DLR_Resource_Assessments&oldid=328651"

107

Type F: Oceanic-ridge, Basaltic Resource | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Type F: Oceanic-ridge, Basaltic Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type F: Oceanic-ridge, Basaltic Resource Dictionary.png Type F: Oceanic-ridge, Basaltic Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources.[1] Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource

108

Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets  

Science Conference Proceedings (OSTI)

Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.

Sheppy, M.; Beach, A.; Pless, S.

2013-04-01T23:59:59.000Z

109

Nepal-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

analysis, Resource assessment Resource Type Softwaremodeling tools, Dataset, Maps Website http:www.dlr.dettdesktopde Program Start 2001 Program End 2004 Country...

110

Bangladesh-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

analysis, Resource assessment Resource Type Softwaremodeling tools, Dataset, Maps Website http:www.dlr.dettdesktopde Program Start 2001 Program End 2004 Country...

111

Ghana-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Energy, Solar Topics Resource assessment, Background analysis Resource Type Dataset, Maps, Softwaremodeling tools Website http:www.dlr.dettdesktopde Program Start 2001...

112

Final Map Draft Comparison Report WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT  

E-Print Network (OSTI)

II Final Map Draft Comparison Report #12;WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT Tel: 978-749-9591 Fax: 978-749-9713 mbrower@awstruewind.com August 10, 2004 #12;2 WIND ENERGY RESOURCE issues. 1 Background In Task 2 of the project, five promising areas of the state for wind energy

113

The ISLSCP Initiative I Global Datasets: Surface Boundary Conditions and Atmospheric Forcings for Land-Atmosphere Studies  

Science Conference Proceedings (OSTI)

A comprehensive series of global datasets for land-atmosphere models has been collected, formatted to a common grid, and released on a set of CD-ROMS. This paper describes the motivation for and the, contents of the dataset.

P. J. Sellers; B. W. Meeson; J. Closs; J. Collatz; F. Corprew; D. Dazlich; F. G. Hall; Y. Kerr; R. Koster; S. Los; K. Mitchell; J. McManus; D. Myers; K-J. Sun; P. Try

1996-09-01T23:59:59.000Z

114

ISATEM: an integration of socioeconomic and spatial models for mineral resources exploitation  

Science Conference Proceedings (OSTI)

In the spatial-integrated socioeconomic model field, a multi-agent approach is appropriate for supporting applications modelled at a detailed territory scale, but it is less used than other approaches when supporting applications modelled at a larger ... Keywords: agent, component, mineral resources exploitation, simulation, socioeconomic model, spatial shape data

Fenintsoa Andriamasinoro; Daniel Cassard; Bruno Martel-Jantin

2010-03-01T23:59:59.000Z

115

U.S. Life Cycle Inventory Database Dataset Additions - November...  

NLE Websites -- All DOE Office Websites (Extended Search)

Life Cycle Inventory Database Dataset Additions - Type Category Dataset Name Chemical Manufacturing Polylactide Biopolymer Resin, at plant Chemical Manufacturing Recycled...

116

Solar Resources By Class Per Country | OpenEI  

Open Energy Info (EERE)

Resources By Class Per Country Resources By Class Per Country Dataset Summary Description These estimates are derived from the best available solar resource datasets available to NREL by country. These vary in spatial resolution from 1 km to 1 degree (approximately 100 km) depending on the data source. High spatial resolution datasets (1 km to 40 km cells) were modeled to support country or regional projects. Where high resolution datasets were not available, data from NASA's Surface Meteorology and Solar Energy (SSE) version 6 database were used. The data represents total potential solar energy per year as a function of land area per solar class (KWh/m²/day). Each solar class correlates to a specific 0.5 kWh/m²/day range. Energy is calculated by multiplying the productive land by the class, conversion efficiency and number of days per year. In this case, a standard calendar year of 365 days was used. The conversion efficiency rate applied was 10%. (E = Productive Land * kWh/m²/day * 365 days * 10% efficiency). The solar data has been derived from solar data measured or modeled between 1961 and 2008, depending on the dataset.

117

A New Global Water Vapor Dataset  

Science Conference Proceedings (OSTI)

A comprehensive and accurate global water vapor dataset is critical to the adequate understanding of water vapor's role in the earth's climate system. To begin to satisfy this need, the authors have produced a blended dataset made up of global, 5-...

David L. Randel; Thomas J. Greenwald; Thomas H. Vonder Haar; Graeme L. Stephens; Mark A. Ringerud; Cynthia L. Combs

1996-06-01T23:59:59.000Z

118

Clustering High Dimensional Massive Scientific Datasets  

Science Conference Proceedings (OSTI)

Many scientific applications can benefit from an efficient clustering algorithm of massively large high dimensional datasets. However most of the developed algorithms are impractical to use when the amount of data is very large. Given N objects ... Keywords: clustering, datasets, high dimensional, scientific

Ekow J. Otoo; Arie Shoshani; Seung-Won Hwang

2001-12-01T23:59:59.000Z

119

Linked data about: /lod/resource/datasets/373/  

Open Energy Info (EERE)

373 linked data This is a machine representation of data from an OpenEI page. View the human-readable lodresourcedatasets373 page on OpenEI. An Entity of Type : unknown...

120

MADCAP - The Microwave Anisotropy Dataset Computational Analysis Package  

E-Print Network (OSTI)

In the standard model of cosmology the universe starts with a hot Big Bang. As the universe expands it cools, and after 300,000 years it drops below the ionisation temperature of hydrogen. The previously free electrons become bound to protons, and with no electrons for the photons to scatter off they continue undeflected to us today. This image of the surface of last-scattering is what we call the Cosmic (because it fills the universe) Microwave (because of the frequency at which its black body spectrum peaks today) Background (because it originates behind all other light sources). Despite its stunning uniformity - isotropic to a few parts in a million - it is the tiny perturbations in the CMB that give us an unprecedented view of the early universe. First detected by the COBE satellite in 1991, these anisotropies are an imprint of the primordial density fluctuations needed to seed the development of gravitationally bound objects in the universe, and are potentially the most powerful discriminant between cosmological models. Realizing the extraordinary scientific potential of the CMB requires precise measurements of these tiny anisotropies over a significant fraction of the sky at very high resolution. The analysis of the resulting datasets is a serious computational challenge. Existing algorithms require terabytes of memory and hundreds of years of CPU time. We must therefore both maximize our resources by moving to supercomputers and minimize our requirements by algorithmic development. Here we will outline the nature of the challenge, present our current optimal algorithm, discuss its implementation - as the MADCAP software package - and its application to data from the North American test flight of the joint Italian-U.S. BOOMERanG experiment on the Cray T3E at NERSC...

Julian Borrill

1999-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Agency Datasets | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Surface Meterorology and Solar Energy Surface Meterorology and Solar Energy Renewable energy resource website NASA Geography and Environment MY NASA DATA data access, lessons plans, computer tools, science focus NASA Geography and Environment Earth Observations -Astronaut Photography The Gateway to Astronaut Photography of Earth database of images hosts the best and most complete online collection of astronaut photographs of the Earth. NASA Geography and Environment Global Climate Change NASA's Eyes on the Earth: Global Climate Change and Global Warming. Current news and data streams about global warming and climate change from NASA's Jet Propulsion Laboratory. NASA Science and Technology JPL Tropical Cyclone Information System The JPL Tropical Cyclone Information System (TCIS) brings together satellite and in situ data sets from various sources to help you find information for a particular tropical cyclone over the world's oceans.

122

Selectivity Estimation of Window Queries for Line Segment Datasets  

E-Print Network (OSTI)

Intl. Conf. on Information and Knowledge Management, pages 490--499, Washington, DC, 1993. [11] J 214--221, Washington, DC, 1993. [13] G. Proietti and C. Faloutsos. Accurate modeling of region dataSelectivity Estimation of Window Queries for Line Segment Datasets Guido Proietti 1 Christos

123

A resource-constrained profit-based dynamic order management model  

Science Conference Proceedings (OSTI)

This research extends the Available-to-Promise (ATP) concept to include both capacity and profitability considerations in a two-level supply chain. The model in study is referred in practice as Profitable-to-Promise (PTP) ... Keywords: ATP, DSS, available-to-, capacity, decision models, decision support systems, demand management, dynamic order management, production planning, profitability, profitable-to-, promise, resource constraints, resource planning, two-level supply chains

Elias T. Kirche; Rajesh Srivastava

2007-11-01T23:59:59.000Z

124

Information Resources: Model Specification for LED Roadway Luminaires...  

NLE Websites -- All DOE Office Websites (Extended Search)

Model Specification for LED Roadway Luminaires Webcast This November 15, 2011 webcast presented information about the Model Specification for LED Roadway Luminaires developed by...

125

Afghanistan-NREL Resource Maps and Toolkits | Open Energy Information  

Open Energy Info (EERE)

Afghanistan-NREL Resource Maps and Toolkits Afghanistan-NREL Resource Maps and Toolkits Jump to: navigation, search Logo: Afghanistan Resources Maps and Toolkits Name Afghanistan Resources Maps and Toolkits Agency/Company /Organization National Renewable Energy Laboratory Sector Energy Focus Area Solar, Wind Topics Resource assessment, Background analysis Resource Type Dataset, Maps, Software/modeling tools Website http://www.nrel.gov/internatio Country Afghanistan Southern Asia References NREL International Activities Website [1] Abstract NREL partnered with Afghanistan to develop high-resolution wind and solar resource maps and data products for Afghanistan. NREL partnered with Afghanistan to develop high-resolution wind and solar resource maps and data products for Afghanistan. The data were output in

126

China-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » China-DLR Resource Assessments Jump to: navigation, search Name China-DLR Resource Assessments Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/tt/desktopde Program Start 2001 Program End 2004 Country China Eastern Asia References DLR-SWERA Resource Assessments[1] From 2001 to 2004 the German Aerospace Center (DLR) worked with China on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme. References ↑ "DLR-SWERA Resource Assessments" Retrieved from

127

Jordan-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Jordan-DLR Resource Assessments Jordan-DLR Resource Assessments Jump to: navigation, search Name Jordan-DLR Resource Assessments Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy, Solar, Wind Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/en/ Program Start 2007 Program End 2008 Country Jordan Western Asia References DLR Website [1] From 2007-2008 the German Aerospace Center (DLR) developed a collection of solar and wind resource assessments for Tunisia. The key products included maps of existing resource assessments, pre feasibility studies for CSP and wind projects. References ↑ "DLR Website" Retrieved from "http://en.openei.org/w/index.php?title=Jordan-DLR_Resource_Assessments&oldid=328867"

128

Vector nonlinear time-series analysis of gamma-ray burst datasets on heterogeneous clusters  

Science Conference Proceedings (OSTI)

The simultaneous analysis of a number of related datasets using a single statistical model is an important problem in statistical computing. A parameterized statistical model is to be fitted on multiple datasets and tested for goodness of fit within ... Keywords: Data Analysis, Dynamic Load Balancing, Heterogeneous Computing

Ioana Banicescu; Ricolindo L. Cariňo; Jane L. Harvill; John Patrick Lestrade

2005-04-01T23:59:59.000Z

129

Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)  

DOE Data Explorer (OSTI)

The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsĆ data uploads. Currently the Biofuel Production collection includes 100 items. Most of these are categorized as literature, but six datasets and 16 models are listed.

130

Search for a Dataset - Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

content content Jump to Content Search for: Search data.gov Data Topics Agriculture Consumer Education Energy Finance Geospatial Global Development Health Jobs & Skills Public Safety Science & Research Weather Business Cities Counties Ethics Law Manufacturing Ocean States Applications Developers Contact Data Catalog Back to Topic Organizations Interactive Datasets To find datasets, enter your search terms in the search box below or browse through the categories on the left. As you browse, you will be refining and narrowing your search. To broaden your search again, click on the "clear all" link at the top of any category or on the "X" to the right of any single term. Home Datasets Federal datasets are subject to the U.S. Federal Government Data Policy. Non-federal participants (e.g., universities, organizations, and tribal,

131

Category:Datasets | Open Energy Information  

Open Energy Info (EERE)

Category Category Edit History Facebook icon Twitter icon » Category:Datasets Jump to: navigation, search Add a new Dataset Pages in category "Datasets" The following 9 pages are in this category, out of 9 total. B BP Statistical Review of World Energy C Coal Power Plant Database E ENERGY STAR Labeled Buildings and Plants G Geothermal CSC Data Templates N NSRDB 1961-1990 NSRDB 1991-2005 R Renewable Fuel Standard Schedule S State Energy Data System U U.S. Geological Survey Data Series 140 Retrieved from "http://en.openei.org/w/index.php?title=Category:Datasets&oldid=156371" What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation:

132

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Services 2013-09-17 07:19:12 Data on Combined Title II Disability and Title XVI BlindDisabled Average Processing Time (In Days) The data contained in this dataset shows the...

133

Template:DatasetValue | Open Energy Information  

Open Energy Info (EERE)

to call on the results. Example: 'max'. Example Usage DatasetValue |id452 |subjectArgentina |predicatedsprop:provedNaturalGasReserves Retrieved from "http:en.openei.org...

134

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

as type, mine location, lost days and the degree of injury. DOL MSHA Energy and Utilities 2012-09-12 13:13:27 EmploymentProduction Data Set - Yearly This dataset contains the...

135

An Assimilated Dataset for Earth Science Applications  

Science Conference Proceedings (OSTI)

The Data Assimilation Office at NASA's Goddard Space Flight Center is currently producing a multiyear gridded global atmospheric dataset for use in climate research, including tropospheric chemistry applications. The data, which are being made ...

Siegfried D. Schubert; Richard B. Rood; James Pfaendtner

1993-12-01T23:59:59.000Z

136

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Social Security Administration Percentage of Fast-Track Receipts for Fiscal Year 2010 and 2011 The dataset provides the percentage of fast-track receipts by state during the...

137

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network (OSTI)

buildings”. In: Journal of Solar Energy Engineering 120 (I-II”. In: Journal of Solar Energy Engineering 120 (1998),modeling”. In: Journal of Solar Energy Engineering 120 (

Mathieu, Johanna L.

2013-01-01T23:59:59.000Z

138

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network (OSTI)

buildings”. In: Journal of Solar Energy Engineering 120 (I-II”. In: Journal of Solar Energy Engineering 120 (1998),modeling”. In: Journal of Solar Energy Engineering 120 (

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

139

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

June 2013 USCIS FOIA LOG This is a monthly dataset of Freedom of Information Act/Privacy Act (FOIA/PA) requests received and processed by the US Citizen and Immigration Services (USCIS) during the month. Each record in the dataset is associated with a FOIA request. It includes the case control number, requester name, document scanned date, and request subject. DHS USCIS Information and Communications 2013-09-12 13:59:47 June 2013 USCIS FOIA LOG This is a monthly dataset of Freedom of Information Act/Privacy Act (FOIA/PA) requests received and processed by the US Citizen and Immigration Services (USCIS) during the month. Each record in the dataset is associated with a FOIA request. It includes the case control number, requester name, document scanned date, and request subject. DHS USCIS Information and Communications 2013-09-12 13:59:47 July 2013 USCIS FOIA LOG This is a monthly dataset of Freedom of Information Act/Privacy Act (FOIA/PA) requests received and processed by the US Citizen and Immigration Services (USCIS) during the month. Each record in the dataset is associated with a FOIA request. It includes the case control number, requester name, document scanned date, and request subject. DHS Information and Communications 2013-09-12 13:59:47

140

Toward The Development Of Occurrence Models For Geothermal Resources In The  

Open Energy Info (EERE)

Toward The Development Of Occurrence Models For Geothermal Resources In The Toward The Development Of Occurrence Models For Geothermal Resources In The Western United States Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Toward The Development Of Occurrence Models For Geothermal Resources In The Western United States Details Activities (6) Areas (2) Regions (0) Abstract: Simplified geothermal occurrence models using attributes identified at Coso and elsewhere were developed and applied in preparing the recently completed Department of Defensefunded evaluation of geothermal potential on U.S. military bases. An interpretation of the spatial associations between selected characteristics was used to direct field investigations. Several potential targets were identified using this method, and field investigations at two bases provided evidence supporting

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

An integrated mobility and traffic model for resource allocation in wireless networks  

Science Conference Proceedings (OSTI)

In a wireless communications network, the movement of mobile users presents significant technical challenges to providing efficient access to the wired broadband network. In this paper, we construct a new analytical/numerical model that characterizes ... Keywords: admission control, mobility, resource allocation, traffic modeling, wireless networks

Hisashi Kobayashi; Shun-Zheng Yu; Brian L. Mark

2000-08-01T23:59:59.000Z

142

Project Title Economic Modeling & Unconventional Gas Resource Appraisal Program Line Tough Gas  

E-Print Network (OSTI)

support to assess the economic viability of new tough gas plays (tight gas, shale gas, CBM). Project are illustrated using the US shale gas plays as case templates. Discounted cash flow models are applied1 Project Title Economic Modeling & Unconventional Gas Resource Appraisal Program Line Tough Gas

Santos, Juan

143

Algeria-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

DLR Resource Assessments DLR Resource Assessments Jump to: navigation, search Name Algeria-DLR Resource Assessments Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy, Solar, Wind Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/en/ Program Start 2007 Program End 2008 Country Algeria Northern Africa References DLR Website [1] From 2007-2008 the German Aerospace Center (DLR) developed a collection of solar and wind resource assessments for Algeria. The key products included maps of existing ressource assessments, pre feasibility studies for CSP and wind projects. References ↑ "DLR Website" Retrieved from "http://en.openei.org/w/index.php?title=Algeria-DLR_Resource_Assessments&oldid=328383"

144

Uncertainty in Temperature and Precipitation Datasets over Terrestrial Regions of the Western Arctic  

Science Conference Proceedings (OSTI)

A better understanding of the interannual variability in temperature and precipitation datasets used as forcing fields for hydrologic models will lead to a more complete description of hydrologic model uncertainty, in turn helping scientists ...

Sheldon Drobot; James Maslanik; Ute Christina Herzfeld; Charles Fowler; Wanli Wu

2006-12-01T23:59:59.000Z

145

Distributed energy resources customer adoption modeling with combined heat and power applications  

E-Print Network (OSTI)

of Microgrid Distributed Energy Resource Potential Usingon Integration of Distributed Energy Resources: The CERTSof Customer Adoption of Distributed Energy Resources. ”

Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

146

Human Resources, Human Resource Management, and the Competitive Advantage of Firms: Toward a More Comprehensive Model of Causal Linkages  

Science Conference Proceedings (OSTI)

We maintain that human resources are strategically significant in at least three cases, when these resources (1) help create traditional Ricardian rents; (2) function as components of organizational capabilities that generate nontraditional Ricardian ... Keywords: dynamic capabilities, entrepreneurship, rent theories, resource-based view, strategic HRM

Clint Chadwick; Adina Dabu

2009-01-01T23:59:59.000Z

147

OpenEI:Projects/Datasets Patterns | Open Energy Information  

Open Energy Info (EERE)

Patterns Patterns Jump to: navigation, search About Dataset Patterns The Dataset Patterns project page will be used for tracking new use cases related to dataset submissions that help identify key patters for improving future dataset submissions. These patterns stem from the recent growth of dataset submissions, and relate to specific use cases where OpenEI member uploaded datasets in the datasets area of OpenEI. As this space continue to grow, this page will benefit new contributors by referencing past use cases in a concise manner to improve the ease with which new datasets are contributed. Dataset patterns from weekly meetings will also be tracked on this page Datasets Review: 1/21/11 Source example Dataset Topic Source/Issue Lessons Learned from this dataset User

148

Designing Information Appliances using a Resource Replication Model  

E-Print Network (OSTI)

. We discuss the design of new network applications that collect and manage data and interface with users through portable devices. These applications maintain data pipelines that interact with network information servers and distill information into reduced data models that may be queried and replicated effectively through wireless networks to computing devices of very small size. We present initial design considerations for applications of this class. 1.

Mário J. Silva; Ana Paula Afonso

1999-01-01T23:59:59.000Z

149

Models, Simulators, and Data-driven Resources for Oil and Natural Gas Research  

DOE Data Explorer (OSTI)

NETL provides a number of analytical tools to assist in conducting oil and natural gas research. Software, developed under various DOE/NETL projects, includes numerical simulators, analytical models, databases, and documentation.[copied from http://www.netl.doe.gov/technologies/oil-gas/Software/Software_main.html] Links lead users to methane hydrates models, preedictive models, simulators, databases, and other software tools or resources.

150

Resource planning for gas utilities: Using a model to analyze pivotal issues  

Science Conference Proceedings (OSTI)

With the advent of wellhead price decontrols that began in the late 1970s and the development of open access pipelines in the 1980s and 90s, gas local distribution companies (LDCs) now have increased responsibility for their gas supplies and face an increasingly complex array of supply and capacity choices. Heretofore this responsibility had been share with the interstate pipelines that provide bundled firm gas supplies. Moreover, gas supply an deliverability (capacity) options have multiplied as the pipeline network becomes increasing interconnected and as new storage projects are developed. There is now a fully-functioning financial market for commodity price hedging instruments and, on interstate Pipelines, secondary market (called capacity release) now exists. As a result of these changes in the natural gas industry, interest in resource planning and computer modeling tools for LDCs is increasing. Although in some ways the planning time horizon has become shorter for the gas LDC, the responsibility conferred to the LDC and complexity of the planning problem has increased. We examine current gas resource planning issues in the wake of the Federal Energy Regulatory Commission`s (FERC) Order 636. Our goal is twofold: (1) to illustrate the types of resource planning methods and models used in the industry and (2) to illustrate some of the key tradeoffs among types of resources, reliability, and system costs. To assist us, we utilize a commercially-available dispatch and resource planning model and examine four types of resource planning problems: the evaluation of new storage resources, the evaluation of buyback contracts, the computation of avoided costs, and the optimal tradeoff between reliability and system costs. To make the illustration of methods meaningful yet tractable, we developed a prototype LDC and used it for the majority of our analysis.

Busch, J.F.; Comnes, G.A.

1995-11-01T23:59:59.000Z

151

Effectiveness of a participatory modeling effort to identify and advance community water resource goals in St. Albans, Vermont  

Science Conference Proceedings (OSTI)

Natural resource managers face complex challenges in addressing non-point source water pollution. A participatory modeling approach was applied in the St. Albans Bay watershed to identify the most effective phosphorus control options to achieve the load ... Keywords: Lake Champlain, Natural resource planning, Participatory modeling, Social dynamics, Watershed model

Erica J. Brown Gaddis; Hilary Harp Falk; Clare Ginger; Alexey Voinov

2010-11-01T23:59:59.000Z

152

AEO2011: Coal Supply, Disposition, and Prices This dataset comes...  

Open Energy Info (EERE)

Supply, Disposition, and Prices This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is...

153

Mining Truth Tables and Straddling Biclusters in Binary Datasets.  

E-Print Network (OSTI)

??As the world swims deeper into a deluge of data, binary datasets relating objects to properties can be found in many different fields. Such datasets… (more)

Owens, Clifford Conley

2010-01-01T23:59:59.000Z

154

USGS-Earth Resources Observation and Science (EROS) Center | Open Energy  

Open Energy Info (EERE)

USGS-Earth Resources Observation and Science (EROS) Center USGS-Earth Resources Observation and Science (EROS) Center Jump to: navigation, search Tool Summary LAUNCH TOOL Name: USGS-Earth Resources Observation and Science (EROS) Center Agency/Company /Organization: United States Geological Survey Sector: Land Topics: Resource assessment Resource Type: Dataset, Maps, Software/modeling tools User Interface: Website Website: eros.usgs.gov/#/Find_Data/Products_and_Data_Available/Elevation_Produc Cost: Free USGS-Earth Resources Observation and Science (EROS) Center Screenshot References: USGS-Earth Resources Observation and Science (EROS) Center[1] Logo: USGS-Earth Resources Observation and Science (EROS) Center "Earth Resources Observation and Science (EROS) Center is a remotely sensed data management, systems development, and research field center for the

155

Type A: Magma-heated, Dry Steam Resource | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Type A: Magma-heated, Dry Steam Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type A: Magma-heated, Dry Steam Resource Dictionary.png Type A: Magma-heated, Dry Steam Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources.[1] Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource

156

SMART: A Stochastic Multiscale Model for the Analysis of Energy Resources, Technology, and Policy  

Science Conference Proceedings (OSTI)

We address the problem of modeling energy resource allocation, including dispatch, storage, and the long-term investments in new technologies, capturing different sources of uncertainty such as energy from wind, demands, prices, and rainfall. We also ... Keywords: analysis of algorithms, artificial intelligence, queues, simulation, statistical analysis

Warren B. Powell; Abraham George; Hugo Simăo; Warren Scott; Alan Lamont; Jeffrey Stewart

2012-10-01T23:59:59.000Z

157

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

FEWSNET Price Volatility Data 2002-2012 This dataset documents ten years, from 2002 to 2012, of cereal price fluctuations across twenty-five African countries. These numbers provide a month-by-month record of the degree and scope of price crises as well as undisturbed cereal markets in Africa. USAID Prices 2013-05-03 12:27:14 FEWSNET Price Volatility Data 2002-2012 This dataset documents ten years, from 2002 to 2012, of cereal price fluctuations across twenty-five African countries. These numbers provide a month-by-month record of the degree and scope of price crises as well as undisturbed cereal markets in Africa. USAID Prices 2013-05-03 12:27:14 Feed the Future Bangladesh: Baseline Integrated Household Survey The Bangladesh Integrated Household Survey dataset is a thorough assessment of current standard of food security in Bangladesh taken from 2011-2012. The dataset includes all baseline household surveys made under the USAID-led Feed the Future initiative, a collaborative effort that supports country-owned processes and plans for improving food security and promoting transparency, and within the Zones of Influence as outlined by the Feed the Future Bangladesh plan .The BIHS sample is statistically representative at the following levels: (a) nationally representative of rural Bangladesh; (b) representative of rural areas of each of the seven administrative divisions of the country; and, (c) representative of the Feed the Future (FTF) zone of influence. USAID Population 2013-05-03 12:27:14

158

Hydrogen Demand and Resource Assessment Tool | Open Energy Information  

Open Energy Info (EERE)

Hydrogen Demand and Resource Assessment Tool Hydrogen Demand and Resource Assessment Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Hydrogen Demand and Resource Assessment Tool Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Hydrogen, Transportation Topics: Technology characterizations Resource Type: Dataset, Software/modeling tools User Interface: Website Website: maps.nrel.gov/ Web Application Link: maps.nrel.gov/hydra Cost: Free Language: English References: http://maps.nrel.gov/hydra Logo: Hydrogen Demand and Resource Assessment Tool Use HyDRA to view, download, and analyze hydrogen data spatially and dynamically. HyDRA provides access to hydrogen demand, resource, infrastructure, cost, production, and distribution data. A user account is

159

Modeling the Global Water Resource System in an Integrated Assessment Modeling Framework: IGSM-WRS  

E-Print Network (OSTI)

The availability of water resources affects energy, agricultural and environmental systems, which are linked together as well as to climate via the water cycle. As such, watersheds and river basins are directly impacted ...

Strzepek, Kenneth M.

160

Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model  

E-Print Network (OSTI)

BD Biosciences Pharmingen Distributed Energy Resources inin many regions. Distributed Energy Resources in PracticeAssessment of µGrid Distributed Energy Resource Potential

Bailey, Owen; Creighton, Charles; Firestone, Ryan; Marnay, Chris; Stadler, Michael

2003-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

MADCAP The Microwave Anisotropy Dataset Computational Analysis Package  

E-Print Network (OSTI)

Realizing the extraordinary scientific potential of the CMB requires precise measurements of its tiny anisotropies over a significant fraction of the sky at very high resolution. The analysis of the resulting datasets is a serious computational challenge. Existing algorithms require terabytes of memory and hundreds of years of CPU time. We must therefore both maximize our resources by moving to supercomputers and minimize our requirements by algorithmic development. Here we will outline the nature of the challenge, present our current optimal algorithm, and discuss its implementation as the MADCAP software package and application to data from the North American test flight of the joint Italian-U.S. BOOMERanG experiment on the Cray T3E at NERSC and CINECA. A documented beta-release of MADCAP is publicly available at http://cfpa.berkeley.edu/~borrill/cmb/madcap.html

Borrill, J

1999-01-01T23:59:59.000Z

162

MADCAP - The Microwave Anisotropy Dataset Computational Analysis Package  

E-Print Network (OSTI)

Realizing the extraordinary scientific potential of the CMB requires precise measurements of its tiny anisotropies over a significant fraction of the sky at very high resolution. The analysis of the resulting datasets is a serious computational challenge. Existing algorithms require terabytes of memory and hundreds of years of CPU time. We must therefore both maximize our resources by moving to supercomputers and minimize our requirements by algorithmic development. Here we will outline the nature of the challenge, present our current optimal algorithm, and discuss its implementation as the MADCAP software package and application to data from the North American test flight of the joint Italian-U.S. BOOMERanG experiment on the Cray T3E at NERSC and CINECA. A documented beta-release of MADCAP is publicly available at http://cfpa.berkeley.edu/~borrill/cmb/madcap.html

Julian Borrill

1999-11-19T23:59:59.000Z

163

Comparison of an Experimental NOAA AVHRR Cloud Dataset with Other Observed and Forecast Cloud Datasets  

Science Conference Proceedings (OSTI)

CLAVR [cloud from AVHRR (Advanced Very High Resolution Radiometer)] is a global cloud dataset under development at NOAA/NESDIS (National Environmental Satellite, Data, and Information Service). Total cloud amount from two experimental cases, 9 ...

Yu-Tai Hou; Kenneth A. Campana; Kenneth E. Mitchell; Shi-Keng Yang; Larry L. Stowe

1993-12-01T23:59:59.000Z

164

To users of the Western Wind Dataset: We have run into some issues on the wind dataset. For many uses of the dataset  

E-Print Network (OSTI)

-of-the-art forecasts would use on-site data to correct the wind energy forecast and effectively remove this biasTo users of the Western Wind Dataset: We have run into some issues on the wind dataset. For many), these issues may not affect you. However, if you are using the dataset for an extensive wind integration study

165

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Initial Disability Insurance Applications filed via the Internet This dataset provides monthly data at the national level from federal fiscal year 2008 - 2011 for initial Social Security Disability Insurance (SSDI) applications filed via the Internet. The dataset includes only SSDI initial receipts. SSDI initial receipt represent a worker in covered employment long enough and recently enough to be "insured", meaning paid Social Security taxes. Social Security work credits are based on total yearly wages or self-employment income. The amount needed for a credit changes from year to year. The number of work credits needed to qualify for disability benefits depends on age at disability onset. Generally, 40 credits are needed, 20 of which were earned in the last 10 years ending with the year of disability onset. SSA Social Insurance and Human Services 2013-02-07 14:10:00

166

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Federal Cost of School Food Program Data The mission of FNS is to provide children and needy families better access to food and a more healthful diet through its food assistance programs and comprehensive nutrition education efforts. These dataset provides a summary of all the FNS School Food Program combined into one dataset. It contains cash payments and commodity costs for the National School Lunch Program, School Breakfast Program and the Special Milk Program. (format: html, xls) USDA FNS Health and Nutrition 2013-04-10 11:15:00 Federal Cost of School Food Program Data The mission of FNS is to provide children and needy families better access to food and a more healthful diet through its food assistance programs and comprehensive nutrition education efforts. These dataset provides a summary of all the FNS School Food Program combined into one dataset. It contains cash payments and commodity costs for the National School Lunch Program, School Breakfast Program and the Special Milk Program. (format: html, xls) USDA FNS Health and Nutrition 2013-04-10 11:15:00 USDA Economic Research Service Data Products Complete catalog of current data products from the USDA Economic Research Service. USDA ERS Agriculture 2013-04-16 13:56:08 Food Dollar Series The food dollar series measures annual expenditures by U.S. consumers on domestically produced food. This data series is composed of three primary series - the marketing bill series, the industry group series, and the primary factor series - that shed light on different aspects of the food supply chain. The three series show three different ways to split up the same food dollar. USDA ERS Agriculture 2013-04-16 13:56:08

167

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

2012 Preliminary Toxics Release Inventory data for the state of Alaska Preliminary Toxics Release Inventory Data. The Toxics Release Inventory (TRI) is a publicly available EPA database that contains information on toxic chemical releases and waste management activities reported annually by facilities in certain industries as well as federal facilities. The TRI Program provides the Preliminary Toxics Release Inventory dataset annually in mid- to late July to give the public an opportunity to see the most recent TRI information prior to the publication of the TRI National Analysis report in December. Please note that the Preliminary Toxics Release Inventory dataset is not yet complete and will be updated every two weeks as the TRI Program continues to process additional reporting year 2012 TRI submissions. DISCLAIMER: See http://www2.epa.gov/toxics-release-inventory-tri-program/2012-tri-preliminary-dataset for limitations and other information regarding the use of this data. EPA Geography and Environment 2013-08-14 14:19:22

168

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Appropriation Figures for the Antitrust Division, Fiscal Years 1903-2012 This dataset contains five elements for appropriation figures for the Antitrust Division from 1903 to present. - Fiscal year - Direct Appropriation Amount Included in Appropriations Bill ($ in thousands) - Filing Fee Revenue Amount Included in Appropriations Bill ($ in thousands) - Total Funding Appropriated ($ in thousands) - Notes DOJ ATR Federal Government Finances and Employment 2013-11-07 11:13:56 Appropriation Figures for the Antitrust Division, Fiscal Years 1903-2012 This dataset contains five elements for appropriation figures for the Antitrust Division from 1903 to present. - Fiscal year - Direct Appropriation Amount Included in Appropriations Bill ($ in thousands) - Filing Fee Revenue Amount Included in Appropriations Bill ($ in thousands) - Total Funding Appropriated ($ in thousands) - Notes DOJ ATR Federal Government Finances and Employment 2013-11-07 11:13:56 Antitrust Division Sherman Act Violations Yielding a Corporate Fine of $10 Million or More This dataset contains five elements for Sherman Act violations yielding a corporate fine of $10 million or more - Defendant name (Federal Government Fiscal Year) - Product - Fine ($ in millions) - Geographic scope (domestic or international) - Country DOJ ATR Law Enforcement, Courts, and Prisons 2013-11-21 09:30:41

169

DND: a model for forecasting electrical energy usage by water-resource subregion  

SciTech Connect

A forecast methodology was derived from principles of econometrics using exogenous variables, i.e., cost of electricity, consumer income, and price elasticity as indicators of growth for each consuming sector: residential, commercial, and industrial. The model was calibrated using forecast data submitted to the Department of Energy (DOE) by the nine Regional Electric Reliability Councils. Estimates on electrical energy usage by specific water-resource subregion were obtained by normalizing forecasted total electrical energy usage by state into per capita usage. The usage factor and data on forecasted population were applied for each water resource subregion. The results derived using the model are self-consistent and in good agreement with DOE Energy Information Administration projections. The differences that exist are largely the result of assumptions regarding specific aggregations and assignment of regional-system reliability and load factors. 8 references, 2 figures, 13 tables.

Sonnichsen, J.C. Jr.

1980-02-01T23:59:59.000Z

170

Developing A Data Set for Modeling Distributed Resource Devices in Electric Power System Simulations  

Science Conference Proceedings (OSTI)

Advances in distributed resource (DR) technologies and the restructuring of the electric utility industry are encouraging increased use of DR in power systems. For DR to realize full potential, however, it must be carefully integrated into the power system. This report provides a preliminary data set of DR device characteristics for use in simulation tools to model electric power systems incorporating varying levels of distributed generation and storage.

2000-12-06T23:59:59.000Z

171

NREL GIS Data: Illinois High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

Illinois High Resolution Wind Resource Illinois High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential of Illinois at a 50 meter height. Purpose: Provide information on the wind resource development potential within Illinois. Supplemental_Information: This data set was produced and validated by NREL using their WRAM model. This shapefile was generated from a raster dataset with a 1000 m resolution, in a Transverse Mercator projection with the following parameters: Projection: TRANSVERSE Zunits NO Units METERS Spheroid CLARKE1866 Xshift 0.0000000000 Yshift 0.0000000000 Parameters 1.00000000 /* scale factor at central meridian -89 30 0.000 /* longitude of central meridian 39 45 0.000 /* latitude of origin 0.00000 /* false easting (meters) 0.00000 /* false northing (meters)

172

SWERA/Wind Resource Information | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » SWERA/Wind Resource Information < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Wind Resource Information SWERA wind products provide estimates of how much wind resource is available at potential development sites. SWERA wind resources are depicted as average wind speed (meters per second) or wind power density (watts per square meter) at a specified height above the ground (nominally 50 m). These are derived from models and satellite and global weather observations

173

Mexico-NREL Wind Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Wind Resource Assessments Wind Resource Assessments Jump to: navigation, search Logo: Mexico-NREL Initiatives Name Mexico-NREL Initiatives Agency/Company /Organization National Renewable Energy Laboratory Sector Energy Focus Area Wind Topics Background analysis Resource Type Dataset, Maps, Software/modeling tools Website http://www.nrel.gov/internatio Country Mexico Central America References NREL International Program Overview [1] Abstract Currently NREL is working with Mexico to develop wind resource assessments including wind maps for Tamuilipas and & Baja California (10/10) and to prepare wind development scenarios for these regions. Currently NREL is working with Mexico to develop wind resource assessments including wind maps for Tamuilipas and & Baja California (10/10) and to

174

File:Excel sheet Datasets Tools.pdf | Open Energy Information  

Open Energy Info (EERE)

Excel sheet Datasets Tools.pdf Excel sheet Datasets Tools.pdf Jump to: navigation, search File File history File usage File:Excel sheet Datasets Tools.pdf Size of this preview: 776 × 600 pixels. Go to page 1 2 3 Go! next page → next page → Full resolution ‎(1,650 × 1,275 pixels, file size: 68 KB, MIME type: application/pdf, 3 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 16:19, 18 May 2012 Thumbnail for version as of 16:19, 18 May 2012 1,650 × 1,275, 3 pages (68 KB) Dbrodt (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following 2 pages link to this file: Energy Data Initiative/Resources

175

Validated modeling of distributed energy resources at distribution voltages : LDRD project 38672.  

SciTech Connect

A significant barrier to the deployment of distributed energy resources (DER) onto the power grid is uncertainty on the part of utility engineers regarding impacts of DER on their distribution systems. Because of the many possible combinations of DER and local power system characteristics, these impacts can most effectively be studied by computer simulation. The goal of this LDRD project was to develop and experimentally validate models of transient and steady state source behavior for incorporation into utility distribution analysis tools. Development of these models had not been prioritized either by the distributed-generation industry or by the inverter industry. A functioning model of a selected inverter-based DER was developed in collaboration with both the manufacturer and industrial power systems analysts. The model was written in the PSCAD simulation language, a variant of the ElectroMagnetic Transients Program (EMTP), a code that is widely used and accepted by utilities. A stakeholder team was formed and a methodology was established to address the problem. A list of detailed DER/utility interaction concerns was developed and prioritized. The list indicated that the scope of the problem significantly exceeded resources available for this LDRD project. As this work progresses under separate funding, the model will be refined and experimentally validated. It will then be incorporated in utility distribution analysis tools and used to study a variety of DER issues. The key next step will be design of the validation experiments.

Ralph, Mark E.; Ginn, Jerry W.

2004-03-01T23:59:59.000Z

176

Model Predictive Control-based Optimal Coordination of Distributed Energy Resources  

SciTech Connect

Distributed energy resources, such as renewable energy resources (wind, solar), energy storage and demand response, can be used to complement conventional generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging, especially in isolated systems. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation performance. The goals of the optimization problem are to minimize fuel costs and maximize the utilization of wind while considering equipment life of generators and energy storage. Model predictive control (MPC) is used to solve a look-ahead dispatch optimization problem and the performance is compared to an open loop look-ahead dispatch problem. Simulation studies are performed to demonstrate the efficacy of the closed loop MPC in compensating for uncertainties and variability caused in the system.

Mayhorn, Ebony T.; Kalsi, Karanjit; Lian, Jianming; Elizondo, Marcelo A.

2013-01-07T23:59:59.000Z

177

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

TARP Transactions Report, Capital Purchase Program (Investments) The Troubled Asset Relief Program (TARP) played a critical role in breaking the back of the financial crisis and laying a foundation for future growth. It included a comprehensive set of measures to recapitalize the financial system, restart the credit markets, restore confidence, and lower borrowing costs for businesses and families. This dataset shows Trouble Asset Relief Program (TARP) investment transactions. TREAS Federal Government Finances and Employment 2013-02-11 13:24:42 TARP Transactions Report, Capital Purchase Program (Investments) The Troubled Asset Relief Program (TARP) played a critical role in breaking the back of the financial crisis and laying a foundation for future growth. It included a comprehensive set of measures to recapitalize the financial system, restart the credit markets, restore confidence, and lower borrowing costs for businesses and families. This dataset shows Trouble Asset Relief Program (TARP) investment transactions. TREAS Federal Government Finances and Employment 2013-02-11 13:24:42 2011 America the Beautiful Coin Production Figures The Coin Production figures represent all of the "circulating" coins produced by the United States Mint, including the coins sold through the numismatic bags & rolls program. These numbers do not include the "proof" or "uncirculated" quality (i.e. UNC sets) coins produced by the Mint. TREAS DO Federal Government Finances and Employment 2013-02-07 14:10:00

178

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Social Security Administration Data on Overall Customer Service Satisfaction This dataset provides data at the national level for overall satisfaction of customers who have used one of the main methods for conducting business with SSA. SSA Social Insurance and Human Services 2013-03-14 07:48:08 Social Security Administration Data on Overall Customer Service Satisfaction This dataset provides data at the national level for overall satisfaction of customers who have used one of the main methods for conducting business with SSA. SSA Social Insurance and Human Services 2013-03-14 07:48:08 Earnings Public-Use File, 2006 Social Security Administration released Earnings Public-Use File (EPUF) for 2006. File contains earnings information for individuals drawn from a systematic random 1-percent sample of all Social Security numbers (SSNs) issued before January 2007. EPUF consists of two linkable subfiles. One contains selected demographic and aggregate earnings information for all 4,348,254 individuals in the file, and the second contains annual earnings records for the 3,131,424 individuals who had positive earnings in at least 1 year from 1951 through 2006. ** Please Note: This data set is very large and will not work properly in Microsoft Excel. Data software capable of handling large files should be used. SSA Social Insurance and Human Services 2013-03-26 06:52:11

179

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

USDA Economic Research Service Data Products Complete catalog of current data products from the USDA Economic Research Service. USDA ERS Agriculture 2013-04-16 13:56:08 USDA Economic Research Service Data Products Complete catalog of current data products from the USDA Economic Research Service. USDA ERS Agriculture 2013-04-16 13:56:08 Rice Yearbook U.S. rice production, supply, disappearance, trade, and price data. Includes state acreage, yield, and production data; U.S. and world price series; and program statistics. Contains world supply and use estimates as well. USDA ERS Agriculture 2013-04-16 13:56:09 Federal Cost of School Food Program Data The mission of FNS is to provide children and needy families better access to food and a more healthful diet through its food assistance programs and comprehensive nutrition education efforts. These dataset provides a summary of all the FNS School Food Program combined into one dataset. It contains cash payments and commodity costs for the National School Lunch Program, School Breakfast Program and the Special Milk Program. (format: html, xls) USDA FNS Health and Nutrition 2013-04-10 11:15:00

180

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Colorado Plateau Ecoregion (COP) This map shows the location of the Colorado Plateau Ecoregion. DOI BLM Natural Resources 2013-04-01 08:09:25 Colorado Plateau Ecoregion (COP) This map shows the location of the Colorado Plateau Ecoregion. DOI BLM Natural Resources 2013-04-01 08:09:25 Colorado Plateau Rapid Ecoregion Assessment Conservation Elements - White-Tailed Prairie Dog This map shows the potential current distribution of white-tailed prairie dog, in the context of current and near-term terrestrial intactness and long-term potential for climate change and energy development. DOI BLM Natural Resources 2013-04-01 08:09:25 Colorado Plateau Rapid Ecoregion Assessment Conservation Elements - Aquatic Species: Razorback Sucker This map shows the potential current distribution of razorback sucker as well as current and near-term status, and long term potential for change (due to climate change). DOI BLM Natural Resources 2013-04-03 13:33:07

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

offshore resource | OpenEI  

Open Energy Info (EERE)

resource resource Dataset Summary Description Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW) Source National Renewable Energy Laboratory Date Released July 12th, 2012 (2 years ago) Date Updated July 12th, 2012 (2 years ago) Keywords offshore resource offshore wind renewable energy potential Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon offshore_resource_100_vs2.xlsx (xlsx, 41.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote

182

OpenEI:Projects/Public Resources | Open Energy Information  

Open Energy Info (EERE)

This page is used to coordinate the plans to collect energy data, tools, This page is used to coordinate the plans to collect energy data, tools, models, and other digital assets (that have appropriate licensing terms) within OpenEI. Contents 1 Goals, Tips, and Strategies 2 Inventory of Specific Resources 3 Inventory of General Sources 4 Inventory of Potential Sources 5 Others (Quick Links) 6 Data from the 2008 Carbon Sequestration Atlas of the United States and Canada (by NETL) 7 NREL GIS Data 8 SWERA GIS and TMY Data (often NREL or others are original source) 9 See Also 10 Participants Goals, Tips, and Strategies We met our goal for December 2010 -- 100 datasets -- and we surpassed it!. Let's continue to add datasets available in the lists below, including the "General Resources" list. We still want to identify and keep track of NREL

183

DTE Energy Technologies With Detroit Edison Co. and Kinectrics Inc.: Distributed Resources Aggregation Modeling and Field Configuration Testing  

Science Conference Proceedings (OSTI)

Summarizes the work of DTE Energy Technologies, Detroit Edison, and Kinectrics, under contract to DOE's Distribution and Interconnection R&D, to develop distributed resources aggregation modeling and field configuration testing.

Not Available

2003-10-01T23:59:59.000Z

184

Production of BaBar Skimmed Analysis Datasets Using the Grid  

SciTech Connect

The BABAR Collaboration, based at Stanford Linear Accelerator Center (SLAC), Stanford, US, has been performing physics reconstruction, simulation studies and data analysis for 8 years using a number of compute farms around the world. Recent developments in Grid technologies could provide a way to manage the distributed resources in a single coherent structure. We describe enhancements to the BABAR experiment's distributed skimmed dataset production system to make use of European Grid resources and present the results with regard to BABAR's latest cycle of skimmed dataset production. We compare the benefits of a local and Grid-based systems, the ease with which the system is managed and the challenges of integrating the Grid with legacy software. We compare job success rates and manageability issues between Grid and non-Grid production.

Brew, C.A.J.; /Rutherford; Wilson, F.F.; /Rutherford; Castelli, G.; /Rutherford; Adye, T.; /Rutherford; Roethel, W.; /Rutherford; Luppi, E.; /INFN, Ferrara; Andreotti, D.; /INFN, Ferrara; Smith, D.; /SLAC; Khan, A.; /Brunel U.; Barrett, M.; /Brunel U.; Barlow, R.; /Manchester U.; Bailey, D.; /Manchester U.

2011-11-10T23:59:59.000Z

185

Production of BaBar Skimmed Analysis Datasets Using the Grid  

SciTech Connect

The BABAR Collaboration, based at Stanford Linear Accelerator Center (SLAC), Stanford, US, has been performing physics reconstruction, simulation studies and data analysis for 8 years using a number of compute farms around the world. Recent developments in Grid technologies could provide a way to manage the distributed resources in a single coherent structure. We describe enhancements to the BABAR experiment's distributed skimmed dataset production system to make use of European Grid resources and present the results with regard to BABAR's latest cycle of skimmed dataset production. We compare the benefits of a local and Grid-based systems, the ease with which the system is managed and the challenges of integrating the Grid with legacy software. We compare job success rates and manageability issues between Grid and non-Grid production.

Brew, C.A.J.; /Rutherford; Wilson, F.F.; /Rutherford; Castelli, G.; /Rutherford; Adye, T.; /Rutherford; Roethel, W.; /Rutherford; Luppi, E.; /INFN, Ferrara; Andreotti, D.; /INFN, Ferrara; Smith, D.; /SLAC; Khan, A.; /Brunel U.; Barrett, M.; /Brunel U.; Barlow, R.; /Manchester U.; Bailey, D.; /Manchester U.

2011-11-10T23:59:59.000Z

186

Seeing about Soil -- Management Lessons from a Simple Model for Renewable Resources  

E-Print Network (OSTI)

Employing an effective cellular automata model, we investigate and analyze the build-up and erosion of soil. Depending on the strategy employed for handling agricultural production, in many cases we find a critical dependence on the prescribed production target, with a sharp transition between stable production and complete breakdown of the system. Strategies which are particularly well-suited for mimicking real-world management approaches can produce almost cyclic behaviour, which can also either lead to sustainable production or to breakdown. While designed to describe the dynamics of soil evolution, this model is quite general and may also be useful as a model for other renewable resources and may even be employed in other disciplines like psychology.

Lichtenegger, Klaus

2013-01-01T23:59:59.000Z

187

Modeling Resource, Infrastructure, and Policy Cost Layers for Optimizing Renewable Energy Investment and Deployment  

SciTech Connect

This paper presents a framework for creating a common spatial canvass that can bring together considerations of resource availability, infrastructure reliability, and development costs while strategizing renewable energy investment. We describe the underlying models and methodologies that annotate an investment plan for potential sites over a time-period with costs and constraints which may be imposed on distance from infrastructure, system impact on infrastructure, and policy incentives. The framework is intended as an enabler for visualization, optimization and decision making across diverse dimensions while searching for lucrative investment-plans.

Sukumar, Sreenivas R [ORNL; Olama, Mohammed M [ORNL; Shankar, Mallikarjun [ORNL; Hadley, Stanton W [ORNL; Nutaro, James J [ORNL; Protopopescu, Vladimir A [ORNL; Malinchik, Sergey [Lockheed Martin Corporation; Ives, Barry [Lockheed Martin Corporation

2010-01-01T23:59:59.000Z

188

D-Factor: A Quantitative Model of Application Slow-Down in Multi-Resource Shared Systems  

SciTech Connect

Scheduling multiple jobs onto a platform enhances system utilization by sharing resources. The benefits from higher resource utilization include reduced cost to construct, operate, and maintain a system, which often include energy consumption. Maximizing these benefits comes at a price - resource contention among jobs increases job completion time. In this paper, we analyze slow-downs of jobs due to contention for multiple resources in a system; referred to as dilation factor. We observe that multiple-resource contention creates non-linear dilation factors of jobs. From this observation, we establish a general quantitative model for dilation factors of jobs in multi-resource systems. A job is characterized by a vector-valued loading statistics and dilation factors of a job set are given by a quadratic function of their loading vectors. We demonstrate how to systematically characterize a job, maintain the data structure to calculate the dilation factor (loading matrix), and calculate the dilation factor of each job. We validate the accuracy of the model with multiple processes running on a native Linux server, virtualized servers, and with multiple MapReduce workloads co-scheduled in a cluster. Evaluation with measured data shows that the D-factor model has an error margin of less than 16%. We also show that the model can be integrated with an existing on-line scheduler to minimize the makespan of workloads.

Lim, Seung-Hwan [ORNL; Huh, Jae-Seok [ORNL; Kim, Youngjae [ORNL; Shipman, Galen M [ORNL; Das, Chita [Pennsylvania State University, University Park, PA

2012-01-01T23:59:59.000Z

189

Tracer test analysis of the Klamath Falls geothermal resource: a comparison of models  

DOE Green Energy (OSTI)

Two tracer tests on doublet systems in a fractured geothermal system were carried out in Klamath Falls, Oregon. The purpose of the tests were to obtain data which would lead to information about the reservoir and to test the applicability of current tracer flow models. The results show rapid breakthrough times and indicate fracture flow with vigorous mixing of injector fluid before production of same. This leads to the idea that thermal breakthrough is not directly related to tracer breakthrough in the Klamath Union doublet system. There has been no long-term enthalpy loss from exploiting the resource for 40 years. In order to reduce the data, models were developed to analyze the results. Along with a porous media flow model two mathematical models developed to analyze fractured geothermal systems are used to help decipher the various tracer return curves. The flow of tracers in doublet systems was investigated. A mathematical description is used for tracer flow through fractures as a function of time and various nonlinear parameters which can be found using a curve fitting technique. This allows the reservoir to be qualitatively defined. These models fit the data well, but point to the fact that future improvement needs to be considered for a clearer and more quantitative understanding of fractured geothermal systems. 22 refs., 32 figs., 11 tabs.

Johnson, S.E.

1984-06-01T23:59:59.000Z

190

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

2011 America the Beautiful Coin Production Figures The Coin Production figures represent all of the "circulating" coins produced by the United States Mint, including the coins sold through the numismatic bags & rolls program. These numbers do not include the "proof" or "uncirculated" quality (i.e. UNC sets) coins produced by the Mint. TREAS DO Federal Government Finances and Employment 2013-02-07 14:10:00 2011 America the Beautiful Coin Production Figures The Coin Production figures represent all of the "circulating" coins produced by the United States Mint, including the coins sold through the numismatic bags & rolls program. These numbers do not include the "proof" or "uncirculated" quality (i.e. UNC sets) coins produced by the Mint. TREAS DO Federal Government Finances and Employment 2013-02-07 14:10:00 TARP Transactions Report, Capital Purchase Program (Investments) The Troubled Asset Relief Program (TARP) played a critical role in breaking the back of the financial crisis and laying a foundation for future growth. It included a comprehensive set of measures to recapitalize the financial system, restart the credit markets, restore confidence, and lower borrowing costs for businesses and families. This dataset shows Trouble Asset Relief Program (TARP) investment transactions. TREAS Federal Government Finances and Employment 2013-02-11 13:24:42

191

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

DAILY RESEARCH NEWS This feed provides readers with abstracts of published articles. USDA ARS Agriculture 2013-05-21 13:55:25 DAILY RESEARCH NEWS This feed provides readers with abstracts of published articles. USDA ARS Agriculture 2013-05-21 13:55:25 AVAILABLE TECHNOLOGIES This feed provides readers with information about ARS technologies relating to biobased products, biotechnology, crop production, food safety & nutrition, natural resources, and animal production. USDA ARS Agriculture 2013-05-21 13:55:25 PARTNERING OPPORTUNITIES This feed provides readers with information regarding partnering opportunities that are available within the USDA/ARS community. USDA ARS Agriculture 2013-05-21 13:55:25 ARMS Farm Financial and Crop Production Practices The information provided here comes from the annual Agricultural Resource Management Survey (ARMS)-USDA's primary source of information on the financial condition, production practices, resource use, and the economic well-being of America's farm households. Sponsored jointly by ERS and the National Agricultural Statistics Service (NASS), ARMS is the only national survey that provides observations of field-level farm practices, the economics of the farm business, and the characteristics of the American farm household-all collected in a representative sample. Information about crop production, farm production, business, and households includes data for 15 selected States where available. USDA ERS Agriculture 2013-05-03 14:51:53

192

State Energy Data System (SEDS) Complete Dataset through 2009...  

Open Energy Info (EERE)

Complete Dataset through 2009 The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy...

193

AEO2011: Electricity Generating Capacity This dataset comes from...  

Open Energy Info (EERE)

case. The dataset uses gigawatts. The data is broken down into power only, combined heat and power, cumulative planned additions, cumulative unplanned conditions,...

194

Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards  

NLE Websites -- All DOE Office Websites (Extended Search)

399E 399E ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Andrew Satchwell, Peter Cappers, and Charles Goldman Preprint version of paper for conference proceedings, ECEEE Summer Study, Giens, France, June 6-11, 2011 Environmental Energy Technologies Division March 2011 The work described in this report was funded by the U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability (OE) - Permitting, Siting and Analysis Division under Contract No. DE-AC02-05CH11231. ii Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct

195

ADAPTIVE MANAGEMENT AND PLANNING MODELS FOR CULTURAL RESOURCES IN OIL & GAS FIELDS IN NEW MEXICO AND WYOMING  

SciTech Connect

This report summarizes activities that have taken place in the last six (6) months (January 2005-June 2005) under the DOE-NETL cooperative agreement ''Adaptive Management and Planning Models for Cultural Resources in Oil and Gas Fields, New Mexico and Wyoming'' DE-FC26-02NT15445. This project examines the practices and results of cultural resource investigation and management in two different oil and gas producing areas of the United States: southeastern New Mexico and the Powder River Basin of Wyoming. The project evaluates how cultural resource investigations have been conducted in the past and considers how investigation and management could be pursued differently in the future. The study relies upon full database population for cultural resource inventories and resources and geomorphological studies. These are the basis for analysis of cultural resource occurrence, strategies for finding and evaluating cultural resources, and recommendations for future management practices. Activities can be summarized as occurring in either Wyoming or New Mexico. Gnomon as project lead, worked in both areas.

Peggy Robinson

2005-07-01T23:59:59.000Z

196

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

NLRB CATS Final C-Case Data in XML - 2001 NLRB C-Case (Unfair Labor Practice) data from CATS (Case Activity Tracking System) for the period of 01/01/2001 through 12/31/2001. This dataset represents all data that is disclosable under FOIA, for a single calendar year, as obtained from the Agency's Case Activity Tracking System (CATS). Please be aware that from April 2011 through September 9, 2011, the NLRB implemented a new case management system (NxGen) that replaced CATS. This was an ongoing process, and each month, from April through September, additional regions migrated to NxGen, with the data for those regions being retained solely in NxGen. Accordingly, for cases that did not close before a region migrated to NxGen, any information regarding subsequent actions or dispositions that occurred after the region migrated to NxGen was not captured in CATS. Thus, this is the most complete information available from CATS. This supersedes any previous XML data publication by the NLRB on Data.Gov, as significant data review and cleanup was performed in CATS prior to the migration to NxGen. This also represents the final posting of the bulk-data (aka "Data Dump") from CATS. There are some known closing-date errors in this data, reflecting data-entry mistakes within CATS that have been identified and corrected within NxGen. This data has not been corrected within CATS since CATS is no longer the system of record for this Agency. Therefore, if any case shows a closing date beyond 09/30/2011, you can find the corrected closing date on http://www.nlrb.gov, under "Cases & Decisions," "Case Search." NLRB Labor Force, Employment, and Earnings 2013-04-11 13:14:15

197

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

NLRB CATS Final C-Case Data in XML - 2001 NLRB C-Case (Unfair Labor Practice) data from CATS (Case Activity Tracking System) for the period of 01/01/2001 through 12/31/2001. This dataset represents all data that is disclosable under FOIA, for a single calendar year, as obtained from the Agency's Case Activity Tracking System (CATS). Please be aware that from April 2011 through September 9, 2011, the NLRB implemented a new case management system (NxGen) that replaced CATS. This was an ongoing process, and each month, from April through September, additional regions migrated to NxGen, with the data for those regions being retained solely in NxGen. Accordingly, for cases that did not close before a region migrated to NxGen, any information regarding subsequent actions or dispositions that occurred after the region migrated to NxGen was not captured in CATS. Thus, this is the most complete information available from CATS. This supersedes any previous XML data publication by the NLRB on Data.Gov, as significant data review and cleanup was performed in CATS prior to the migration to NxGen. This also represents the final posting of the bulk-data (aka "Data Dump") from CATS. There are some known closing-date errors in this data, reflecting data-entry mistakes within CATS that have been identified and corrected within NxGen. This data has not been corrected within CATS since CATS is no longer the system of record for this Agency. Therefore, if any case shows a closing date beyond 09/30/2011, you can find the corrected closing date on http://www.nlrb.gov, under "Cases & Decisions," "Case Search." NLRB Labor Force, Employment, and Earnings 2013-04-11 13:14:15

198

The Impact of Forcing Datasets on the High-Resolution Simulation of Tropical Storm Ivan (2004) in the Southern Appalachians  

Science Conference Proceedings (OSTI)

The influence of large-scale forcing on the high-resolution simulation of Tropical Storm Ivan (2004) in the southern Appalachians was investigated using the Weather Research and Forecasting model (WRF). Two forcing datasets were employed: the ...

Xiaoming Sun; Ana P. Barros

2012-10-01T23:59:59.000Z

199

Transmission/Resource Library/Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Transmission/Resource Library/Resources < Transmission‎ | Resource Library(Redirected from Transmission/Resource Library/Public Involvement) Jump to: navigation, search ResourceLibraryHeader.png Public Involvement Resources GIS Tools and Maps Environmental Resources and Mitigation NEPA MOUs General Transmission Documents Transmission Dashboard Permitting Atlas Compare States Arizona California Colorado Idaho Montana Nevada New Mexico Oregon Utah Washington Wyoming Resource Library NEPA Database Public Participation for Interstate Transmission Public participation is a requirement of any project that must comply with

200

Using PCA to predict customer churn in telecommunication dataset  

Science Conference Proceedings (OSTI)

Failure to identify potential churners affects significantly a company revenues and services that can provide. Imbalance distribution of instances between churners and non-churners and the size of customer dataset are the concerns when building a churn ... Keywords: PCA, predict potential churners, telecommunication dataset

T. Sato; B. Q. Huang; Y. Huang; M.-T. Kechadi; B. Buckley

2010-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Face and Eye Detection on Hard Datasets , Michael Wilber  

E-Print Network (OSTI)

Face and Eye Detection on Hard Datasets Jon Parris 1 , Michael Wilber 1 , Brian Heflin 2 , Ham Rara is a dataset collected using auto mated face detection with refinement. Similarly, [3] lever ages parts the ratios de scribed in csuPreprocessnormalize. c, part of the CSU Face Evaluation and ldentification

Farag, Aly A.

202

Advanced GPU-based ray casting for bricked datasets  

Science Conference Proceedings (OSTI)

Since the 90s, the Direct Volume Rendering shows itself as an efficient tool for the visual analysis of volumetric datasets. There are approaches that allow for the real-time Ray Casting for visualization of the datasets that can be divided into bricks ...

Nikolay Gavrilov; Vadim Turlapov

2012-08-01T23:59:59.000Z

203

Computer resources Computer resources  

E-Print Network (OSTI)

Computer resources 1 Computer resources available to the LEAD group Cédric David 30 September 2009 #12;Ouline · UT computer resources and services · JSG computer resources and services · LEAD computers· LEAD computers 2 #12;UT Austin services UT EID and Password 3 https://utdirect.utexas.edu #12;UT Austin

Yang, Zong-Liang

204

Distributed energy resources customer adoption modeling with combined heat and power applications  

SciTech Connect

In this report, an economic model of customer adoption of distributed energy resources (DER) is developed. It covers progress on the DER project for the California Energy Commission (CEC) at Berkeley Lab during the period July 2001 through Dec 2002 in the Consortium for Electric Reliability Technology Solutions (CERTS) Distributed Energy Resources Integration (DERI) project. CERTS has developed a specific paradigm of distributed energy deployment, the CERTS Microgrid (as described in Lasseter et al. 2002). The primary goal of CERTS distributed generation research is to solve the technical problems required to make the CERTS Microgrid a viable technology, and Berkeley Lab's contribution is to direct the technical research proceeding at CERTS partner sites towards the most productive engineering problems. The work reported herein is somewhat more widely applicable, so it will be described within the context of a generic microgrid (mGrid). Current work focuses on the implementation of combined heat and power (CHP) capability. A mGrid as generically defined for this work is a semiautonomous grouping of generating sources and end-use electrical loads and heat sinks that share heat and power. Equipment is clustered and operated for the benefit of its owners. Although it can function independently of the traditional power system, or macrogrid, the mGrid is usually interconnected and exchanges energy and possibly ancillary services with the macrogrid. In contrast to the traditional centralized paradigm, the design, implementation, operation, and expansion of the mGrid is meant to optimize the overall energy system requirements of participating customers rather than the objectives and requirements of the macrogrid.

Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

2003-07-01T23:59:59.000Z

205

Projecting Continental U.S. Water Stress Based on Global Datasets  

Science Conference Proceedings (OSTI)

Human populations may be adversely impacted by water stress, a situation which is commonly defined as a per capita water availability of less than 1700 cubic meters of freshwater per person per year. Water stress may result from either overuse of available freshwater resources or a reduction in the amount of available water due to decreases in rainfall and stored water supplies. Analyzing the interrelationship between human populations and water availability is complicated by the uncertainties associated with climate change projections and population projections. We have developed a simple methodology to integrate disparate climate and population data sources and develop first-order per capita water availability projections at the global scale. Simulations from the coupled land-ocean-atmosphere Community Climate System Model version 3 (CCSM3) forced with a range of hypothetical greenhouse gas emissions scenarios have been used to project grid-based changes in precipitation minus evapotranspiration as proxies for changes in runoff, or fresh water supply. Population growth changes, according to Intergovernmental Panel on Climate Change (IPCC) storylines, have been used as proxies for changes in fresh water demand by 2025, 2050 and 2100. These freshwater supply and demand projections have then been combined to yield estimates of per capita water availability aggregated by U.S. watershed. Results suggest that important insights might be extracted from the use of the process developed here, including the identification of potentially vulnerable areas in need of more detailed analysis. This high-level analysis also illustrates the relative importance of population growth versus climate change in in altering future freshwater supplies. However, these are only exemplary insights and, as such, could be considered hypotheses that should be rigorously tested with multiple climate models, multiple observational climate datasets, and more comprehensive population growth projections.

Parish, Esther S [ORNL; Kodra, Evan [Northeastern University; Steinhaeuser, Karsten [University of Minnesota; Ganguly, Auroop R [Northeastern University

2012-01-01T23:59:59.000Z

206

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

December 2012) This raw data set provides Federal civilian employee population data as of December 2012. The scope of this raw data set includes all data elements used in the creation of the FedScope Employment Cube (http://www.fedscope.opm.gov/). The following workforce characteristics are available for analysis: Agency, State/Country, Occupation, Occupation Category, Pay Plan & Grade, GS & Equivalent Grade, Salary Level ($10,000 interval), Work Schedule, Type of Appointment, Gender, Age (5 year interval), Length of Service (5 year interval), Employment, Average Salary, and Average Length of Service. Starting in FY 2010, the OPM Enterprise Human Resources Integration-Statistical Data Mart (EHRI-SDM) is the source for all FedScope data. Data is processed on a quarterly basis (i.e. March, June, September and December). OPM Federal Government Finances and Employment 2013-03-15 10:32:45

207

A Comparison of Mass and Energy Budgets from Two FGGE Datasets and a GCM  

Science Conference Proceedings (OSTI)

Vertically integrated budgets of mass and energy for the global atmosphere, based on the ECMWF and GFDL FGGE III-b datasets for July 1979, have been obtained and compared with one another and with the results of a general circulation model. The ...

G. J. Boer

1986-05-01T23:59:59.000Z

208

Distributed energy resources customer adoption modeling with combined heat and power applications  

E-Print Network (OSTI)

CHP (PX and Tariff case) Distributed Energy Resources42 Figure 10. Energy Consumption Breakdown - 1999 (TariffFigure 10. Energy Consumption Breakdown - 1999 (Tariff Case)

Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

209

Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management  

Science Conference Proceedings (OSTI)

The call for more effective integration of science and decision making is ubiquitous in environmental management. While scientists often complain that their input is ignored by decision makers, the latter have also expressed dissatisfaction that critical ... Keywords: Decision support, Integrated modeling, Scenario analysis, Sustainability, Water resources management

Yuqiong Liu; Hoshin Gupta; Everett Springer; Thorsten Wagener

2008-07-01T23:59:59.000Z

210

Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model  

SciTech Connect

This report describes a Berkeley Lab effort to model the economics and operation of small-scale (<500 kW) on-site electricity generators based on real-world installations at several example customer sites. This work builds upon the previous development of the Distributed Energy Resource Customer Adoption Model (DER-CAM), a tool designed to find the optimal combination of installed equipment, and idealized operating schedule, that would minimize the site's energy bills, given performance and cost data on available DER technologies, utility tariffs, and site electrical and thermal loads over a historic test period, usually a recent year. This study offered the first opportunity to apply DER-CAM in a real-world setting and evaluate its modeling results. DER-CAM has three possible applications: first, it can be used to guide choices of equipment at specific sites, or provide general solutions for example sites and propose good choices for sites with similar circumstances; second, it can additionally provide the basis for the operations of installed on-site generation; and third, it can be used to assess the market potential of technologies by anticipating which kinds of customers might find various technologies attractive. A list of approximately 90 DER candidate sites was compiled and each site's DER characteristics and their willingness to volunteer information was assessed, producing detailed information on about 15 sites of which five sites were analyzed in depth. The five sites were not intended to provide a random sample, rather they were chosen to provide some diversity of business activity, geography, and technology. More importantly, they were chosen in the hope of finding examples of true business decisions made based on somewhat sophisticated analyses, and pilot or demonstration projects were avoided. Information on the benefits and pitfalls of implementing a DER system was also presented from an additional ten sites including agriculture, education, health care, airport, and manufacturing facilities.

Bailey, Owen; Creighton, Charles; Firestone, Ryan; Marnay, Chris; Stadler, Michael

2003-02-01T23:59:59.000Z

211

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Combined Federal Campaign, CFC, 2011 Information on donor contributions through the 2011 Combined Federal Campaign by local campaign. Data includes information on the number of donors, campaign costs, payroll deduction contributions, and recipient organizations. OPM Population 2013-01-23 13:35:53 Combined Federal Campaign, CFC, 2011 Information on donor contributions through the 2011 Combined Federal Campaign by local campaign. Data includes information on the number of donors, campaign costs, payroll deduction contributions, and recipient organizations. OPM Population 2013-01-23 13:35:53 Combined Federal Campaign, CFC, 2009-2011 Information on donor contributions through the 2010 Combined Federal Campaign by local campaign. Data includes information on the number of donors, campaign costs, payroll deduction contributions, and recipient organizations. OPM Population 2013-01-23 13:35:54 FedScope Employment Cube (December 2012) This raw data set provides Federal civilian employee population data as of December 2012. The scope of this raw data set includes all data elements used in the creation of the FedScope Employment Cube (http://www.fedscope.opm.gov/). The following workforce characteristics are available for analysis: Agency, State/Country, Occupation, Occupation Category, Pay Plan & Grade, GS & Equivalent Grade, Salary Level ($10,000 interval), Work Schedule, Type of Appointment, Gender, Age (5 year interval), Length of Service (5 year interval), Employment, Average Salary, and Average Length of Service. Starting in FY 2010, the OPM Enterprise Human Resources Integration-Statistical Data Mart (EHRI-SDM) is the source for all FedScope data. Data is processed on a quarterly basis (i.e. March, June, September and December). OPM Federal Government Finances and Employment 2013-03-15 10:32:45

212

USLCI Interconnect Region Electricity datasets, 2008 | OpenEI  

Open Energy Info (EERE)

76 76 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278976 Varnish cache server USLCI Interconnect Region Electricity datasets, 2008 Dataset Summary Description Datasets are for the US electricity grid system interconnect regions (ASCC, FRCC, HICC, MRO, NPCC, RFC, SERC, SPP, TRE, WECC) for 2008. The data is provided in life cycle inventory (LCI) forms (both xls and xml). A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the interconnect regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the interconnect regions and is based on the EIA electricity reports for all power plants in the US. Detailed information on the methodology is included in the module report and detailed spreadsheet.

213

A Homogenized Historical Temperature Extreme Dataset for the United States  

Science Conference Proceedings (OSTI)

A subset of stations from the daily U.S. Historical Climatology Network (HCN) is used as a basis for a historical database of temperature extreme occurrence in the United States. The dataset focuses on daily temperature occurrences that exceed (...

Arthur T. DeGaetano; Robert J. Allen; Kevin P. Gallo

2002-09-01T23:59:59.000Z

214

Homogeneity of Gridded Precipitation Datasets for the Colorado River Basin  

Science Conference Proceedings (OSTI)

Inhomogeneity in gridded meteorological data may arise from the inclusion of inhomogeneous station data or from aspects of the gridding procedure itself. However, the homogeneity of gridded datasets is rarely questioned, even though an analysis ...

Galina Guentchev; Joseph J. Barsugli; Jon Eischeid

2010-12-01T23:59:59.000Z

215

Offshore Wind Resource | OpenEI  

Open Energy Info (EERE)

Offshore Wind Resource Offshore Wind Resource Dataset Summary Description Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW) Source National Renewable Energy Laboratory Date Released July 12th, 2012 (2 years ago) Date Updated July 12th, 2012 (2 years ago) Keywords offshore resource offshore wind renewable energy potential Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon offshore_resource_100_vs2.xlsx (xlsx, 41.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access

216

Sampling Within k-Means Algorithm to Cluster Large Datasets  

Science Conference Proceedings (OSTI)

Due to current data collection technology, our ability to gather data has surpassed our ability to analyze it. In particular, k-means, one of the simplest and fastest clustering algorithms, is ill-equipped to handle extremely large datasets on even the most powerful machines. Our new algorithm uses a sample from a dataset to decrease runtime by reducing the amount of data analyzed. We perform a simulation study to compare our sampling based k-means to the standard k-means algorithm by analyzing both the speed and accuracy of the two methods. Results show that our algorithm is significantly more efficient than the existing algorithm with comparable accuracy. Further work on this project might include a more comprehensive study both on more varied test datasets as well as on real weather datasets. This is especially important considering that this preliminary study was performed on rather tame datasets. Also, these datasets should analyze the performance of the algorithm on varied values of k. Lastly, this paper showed that the algorithm was accurate for relatively low sample sizes. We would like to analyze this further to see how accurate the algorithm is for even lower sample sizes. We could find the lowest sample sizes, by manipulating width and confidence level, for which the algorithm would be acceptably accurate. In order for our algorithm to be a success, it needs to meet two benchmarks: match the accuracy of the standard k-means algorithm and significantly reduce runtime. Both goals are accomplished for all six datasets analyzed. However, on datasets of three and four dimension, as the data becomes more difficult to cluster, both algorithms fail to obtain the correct classifications on some trials. Nevertheless, our algorithm consistently matches the performance of the standard algorithm while becoming remarkably more efficient with time. Therefore, we conclude that analysts can use our algorithm, expecting accurate results in considerably less time.

Bejarano, Jeremy [Brigham Young University; Bose, Koushiki [Brown University; Brannan, Tyler [North Carolina State University; Thomas, Anita [Illinois Institute of Technology; Adragni, Kofi [University of Maryland; Neerchal, Nagaraj [University of Maryland; Ostrouchov, George [ORNL

2011-08-01T23:59:59.000Z

217

Modeling the resource consumption of Housing in New Orleans using System Dynamics  

E-Print Network (OSTI)

This work uses Systems Dynamics as a methodology to analyze the resource requirements of New Orleans as it recovers from Hurricane Katrina. It examines the behavior of the city as a system of stocks, flows and time delays ...

Quinn, David James, Ph. D. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

218

Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model  

E-Print Network (OSTI)

Incentive Program , : 28 New York State Funding for EnergyState of Hawaii Energy, Resources, and Technology Web site, there are no incentivesEnergy Regulatory Committee (FERC) regulations individual states determine incentives

Bailey, Owen; Creighton, Charles; Firestone, Ryan; Marnay, Chris; Stadler, Michael

2003-01-01T23:59:59.000Z

219

Development of the resource model for the Decision Aids for Tunneling (DAT)  

E-Print Network (OSTI)

The Decision Aids for Tunneling (DAT) are a computer based method with which distributions of tunnel construction time and cost as well as required and produced resources can be estimated considering uncertainties in ...

Min, Sangyoon, 1973-

2008-01-01T23:59:59.000Z

220

Evaluation of CLM4 Solar Radiation Partitioning Scheme Using Remote Sensing and Site Level FPAR Datasets  

E-Print Network (OSTI)

Abstract: This paper examines a land surface solar radiation partitioning scheme, i.e., that of the Community Land Model version 4 (CLM4) with coupled carbon and nitrogen cycles. Taking advantage of a unique 30-year fraction of absorbed photosynthetically active radiation (FPAR) dataset, derived from the Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) data set, multiple other remote sensing datasets, and site level observations, we evaluated the CLM4 FPAR’s seasonal cycle, diurnal cycle, long-term trends, and spatial patterns. Our findings show that the model generally agrees with observations in the seasonal cycle, long-term trends, and spatial patterns, but does not reproduce the diurnal cycle. Discrepancies also exist in seasonality magnitudes, peak value months, and spatial heterogeneity. We identify the discrepancy in the diurnal cycle as, due to, the absence of dependence on sun angle in the model. Implementation of sun angle dependence in a one-dimensional (1-D) model is proposed. The need for better relating of vegetation to climate in the model, indicated by long-term trends, is also noted. Evaluation of the CLM4 land surface solar radiation partitioning scheme using remote sensing and site level FPAR datasets provides targets for

Kai Wang; Jiafu Mao; Robert E. Dickinson; Xiaoying Shi; Wilfred M. Post; Zaichun Zhu; Ranga B. Myneni

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Solar Resource Assessment  

DOE Green Energy (OSTI)

This report covers the solar resource assessment aspects of the Renewable Systems Interconnection study. The status of solar resource assessment in the United States is described, and summaries of the availability of modeled data sets are provided.

Renne, D.; George, R.; Wilcox, S.; Stoffel, T.; Myers, D.; Heimiller, D.

2008-02-01T23:59:59.000Z

222

NREL: Renewable Resource Data Center - Wind Resource Information  

NLE Websites -- All DOE Office Websites (Extended Search)

Wind Resource Information Wind Resource Information Photo of five wind turbines at the Nine Canyon Wind Project. The Nine Canyon Wind Project in Benton County, Washington, includes 37 wind turbines and 48 MW of capacity. Detailed wind resource information can be found on NREL's Wind Research Web site. This site provides access to state and international wind resource maps. Wind Integration Datasets are provided to help energy professionals perform wind integration studies and estimate power production from hypothetical wind plants. In addition, RReDC offers Meteorological Field Measurements at Potential and Actual Wind Turbine Sites and a Wind Energy Resource Atlas of the United States. Wind resource maps are also available from the NREL Dynamic Maps, GIS Data, and Analysis Tools Web site.

223

Category:State Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:State Wind Resources Jump to: navigation, search Category containing State Wind Resources Pages in category "State Wind Resources" The following 100 pages are in this category, out of 100 total. A Alabama/Wind Resources Alabama/Wind Resources/Full Version Alaska/Wind Resources Alaska/Wind Resources/Full Version Arizona/Wind Resources Arizona/Wind Resources/Full Version Arkansas/Wind Resources Arkansas/Wind Resources/Full Version C California/Wind Resources California/Wind Resources/Full Version Colorado/Wind Resources Colorado/Wind Resources/Full Version

224

Research - Resources | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Resources Resources Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research Resources/Other Data Sources This section contains links to data and datasets provided by both Federal and non-Federal sources. If you find the resources useful, or have suggestions for other links, let us know through the forums. Please note that you will be leaving the Data.Gov website to access these resources. Science.Gov Science.gov searches over 50 databases and over 2100 selected websites from 13 Federal agencies, offering 200 million pages of authoritative U.S. government science information including research and development results. Science.gov is governed by the interagency Science.gov Alliance. Research.Gov Research.gov is the National Science Foundation's (NSF) grants management

225

Tools & Resources: Resource Directory  

NLE Websites -- All DOE Office Websites (Extended Search)

that reduce air emissions. Emissions & Generation Resource Integrated Database (eGRID) A tool that provides data on the environmental characteristics of almost all electric...

226

Publications & Resources, Human Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

or approved by Brookhaven National Laboratory or the Human Resources Division. Manuals Scientific Staff Manual Supervisors Personnel Manual SBMS Subject Areas Compensation...

227

DOE Launches New Dataset on its Environmental Reviews | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Dataset on its Environmental Reviews Dataset on its Environmental Reviews DOE Launches New Dataset on its Environmental Reviews January 28, 2010 - 1:44pm Addthis Washington, DC - To further transparency and openness in its implementation of the National Environmental Policy Act (NEPA), the Department of Energy (DOE) has created a comprehensive database of categorical exclusion (CX) determinations. The information is available at Data.gov and the DOE NEPA Website. This initiative supports the Obama Administration's Open Government Directive and provides easy access to useful information regarding DOE's compliance with NEPA. "This sets a new standard of transparency for the Federal government's implementation of NEPA," said Scott Blake Harris, DOE General Counsel, "and shines a light on an important part of our

228

DOE Launches New Dataset on its Environmental Reviews | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Launches New Dataset on its Environmental Reviews Launches New Dataset on its Environmental Reviews DOE Launches New Dataset on its Environmental Reviews January 28, 2010 - 1:44pm Addthis Washington, DC - To further transparency and openness in its implementation of the National Environmental Policy Act (NEPA), the Department of Energy (DOE) has created a comprehensive database of categorical exclusion (CX) determinations. The information is available at Data.gov and the DOE NEPA Website. This initiative supports the Obama Administration's Open Government Directive and provides easy access to useful information regarding DOE's compliance with NEPA. "This sets a new standard of transparency for the Federal government's implementation of NEPA," said Scott Blake Harris, DOE General Counsel, "and shines a light on an important part of our

229

Evaluation Model Analysis of the Control Efficiency of Environmental Resource Regulation  

Science Conference Proceedings (OSTI)

The exterior of Environmental resources decide that the Energy consumption and reducing pollutant emissions can restrict and improve the way of Production and life by means of energy and environmental control policy. Because the existing environmental ... Keywords: BP neural network, Cluster Analysis, control policy

Linxiu Wang; Kun Cheng

2009-04-01T23:59:59.000Z

230

GIS model for geothermal resource exploration in Akita and Iwate prefectures, northern Japan  

Science Conference Proceedings (OSTI)

In this study, a Geographic Information System (GIS) is used as a decision-making tool to target potential regional-scale geothermal resources in the Akita and Iwate prefectures of northern Japan. The aims of the study are to determine the relationships ... Keywords: GIS, Geochemistry, Geoprocessing, Geothermal, Heat flow, Temperature gradient

Younes Noorollahi; Ryuichi Itoi; Hikari Fujii; Toshiaki Tanaka

2007-08-01T23:59:59.000Z

231

DOE Hydrogen Analysis Repository: HyDRA: Hydrogen Demand and Resource  

NLE Websites -- All DOE Office Websites (Extended Search)

HyDRA: Hydrogen Demand and Resource Analysis Tool HyDRA: Hydrogen Demand and Resource Analysis Tool Project Summary Full Title: HyDRA: Hydrogen Demand and Resource Analysis Tool Project ID: 220 Principal Investigator: Johanna Levene Brief Description: HyDRA has evolved from a basic display of spatial data to a repository of over 100 datasets with dynamic data, querying, and interoperability with other models and spatial data repositories and over 350 registered users. Keywords: Hydrogen infrastructure; wind; solar; biomass; coal; natural gas Purpose Facilitate regional and geographical analyses of resources, demand, and infrastructure relevant to the implementation of hydrogen production, delivery, and dispensing. Performer Principal Investigator: Johanna Levene Organization: National Renewable Energy Laboratory (NREL)

232

Integration of Water Resource Models with Fayetteville Shale Decision Support and Information System  

SciTech Connect

Significant issues can arise with the timing, location, and volume of surface water withdrawals associated with hydraulic fracturing of gas shale reservoirs as impacted watersheds may be sensitive, especially in drought years, during low flow periods, or during periods of the year when activities such as irrigation place additional demands on the surface supply of water. Significant energy production and associated water withdrawals may have a cumulative impact to watersheds over the short-term. Hence, hydraulic fracturing based on water withdrawal could potentially create shifts in the timing and magnitude of low or high flow events or change the magnitude of river flow at daily, monthly, seasonal, or yearly time scales. These changes in flow regimes can result in dramatically altered river systems. Currently little is known about the impact of fracturing on stream flow behavior. Within this context the objective of this study is to assess the impact of the hydraulic fracturing on the water balance of the Fayetteville Shale play area and examine the potential impacts of hydraulic fracturing on river flow regime at subbasin scale. This project addressed that need with four unique but integrated research and development efforts: 1) Evaluate the predictive reliability of the Soil and Water Assessment Tool (SWAT) model based at a variety of scales (Task/Section 3.5). The Soil and Water Assessment Tool (SWAT) model was used to simulate the across-scale water balance and the respective impact of hydraulic fracturing. A second hypothetical scenario was designed to assess the current and future impacts of water withdrawals for hydraulic fracturing on the flow regime and on the environmental flow components (EFCs) of the river. The shifting of these components, which present critical elements to water supply and water quality, could influence the ecological dynamics of river systems. For this purpose, we combined the use of SWAT model and Richter et al.’s (1996) methodology to assess the shifting and alteration of the flow regime within the river and streams of the study area. 2) Evaluate the effect of measurable land use changes related to gas development (well-pad placement, access road completion, etc.) on surface water flow in the region (Task/Section 3.7). Results showed that since the upsurge in shale-gas related activities in the Fayetteville Shale Play (between 2006 and 2010), shale-gas related infrastructure in the region have increase by 78%. This change in land-cover in comparison with other land-cover classes such as forest, urban, pasture, agricultural and water indicates the highest rate of change in any land-cover category for the study period. A Soil and Water Assessment Tool (SWAT) flow model of the Little Red River watershed simulated from 2000 to 2009 showed a 10% increase in storm water runoff. A forecast scenario based on the assumption that 2010 land-cover does not see any significant change over the forecast period (2010 to 2020) also showed a 10% increase in storm water runoff. Further analyses showed that this change in the stream-flow regime for the forecast period is attributable to the increase in land-cover as introduced by the shale-gas infrastructure. 3) Upgrade the Fayetteville Shale Information System to include information on watershed status. (Tasks/Sections 2.1 and 2.2). This development occurred early in the project period, and technological improvements in web-map API’s have made it possible to further improve the map. The current sites (http://lingo.cast.uark.edu) is available but is currently being upgraded to a more modern interface and robust mapping engine using funds outside this project. 4) Incorporate the methodologies developed in Tasks/Sections 3.5 and 3.7 into a Spatial Decision Support System for use by regulatory agencies and producers in the play. The resulting system is available at http://fayshale.cast.uark.edu and is under review the Arkansas Natural Resources Commission.

Cothren, Jackson; Thoma, Greg; DiLuzio, Mauro; Limp, Fred

2013-06-30T23:59:59.000Z

233

Post processing wrapper generated tables for labeling anonymous datasets  

Science Conference Proceedings (OSTI)

A large number of wrappers generate tables without column names for human consumption because the meaning of the columns are apparent from the context and easy for humans to understand, but in emerging applications, labels are needed for autonomous assignment ... Keywords: anonymous datasets, hidden web, html forms, ontology, web data integration, wrapper

Emdad Ahmed; Hasan M. Jamil

2009-11-01T23:59:59.000Z

234

Face and Eye Detection on Hard Datasets Jon Parris1  

E-Print Network (OSTI)

Face and Eye Detection on Hard Datasets Jon Parris1 , Michael Wilber1 , Brian Heflin2 , Ham Rara3 with refinement. Similarly, [3] lever- ages parts of existing data and spends much of their discus- sion about by using the ratios de- scribed in csuPreprocessnormalize.c, part of the CSU Face Evaluation

Boult, Terrance E.

235

Cultural Data Sculpting: Omnispatial Visualization for Cultural Datasets  

Science Conference Proceedings (OSTI)

This paper presents four research projects currently underway to develop new omni spatial visualization strategies for the collaborative interrogation of large-scale heterogeneous cultural datasets using the worlds' first 360-degree stereoscopic visualization ... Keywords: 3D, immersive, information visualization, interactive narrative, museum collections, archaeology, corpora

Sarah Kenderdine; Oscar Kin Chung Au; Jeffrey Shaw

2011-07-01T23:59:59.000Z

236

Using Large Datasets to Forecast Sectoral Employment Rangan Gupta*  

E-Print Network (OSTI)

Using Large Datasets to Forecast Sectoral Employment Rangan Gupta* Department of Economics Bayesian and classical methods to forecast employment for eight sectors of the US economy. In addition-sample period and January 1990 to March 2009 as the out-of- sample horizon, we compare the forecast performance

Ahmad, Sajjad

237

Selectivity Estimation of Window Queries for Line Segment Datasets  

E-Print Network (OSTI)

{499, Washington, DC, 1993. 11] J. Orenstein. Spatial query processing in an object- oriented database system- ples of Database Systems,pages 214{221, Washington, DC, 1993. 13] G. Proietti and C. FaloutsosSelectivity Estimation of Window Queries for Line Segment Datasets Guido Proietti Dept. of Computer

Faloutsos, Christos

238

Bulk Data Movement for Climate Dataset: Efficient Data Transfer Management with Dynamic Transfer Adjustment  

Science Conference Proceedings (OSTI)

Many scientific applications and experiments, such as high energy and nuclear physics, astrophysics, climate observation and modeling, combustion, nano-scale material sciences, and computational biology, generate extreme volumes of data with a large number of files. These data sources are distributed among national and international data repositories, and are shared by large numbers of geographically distributed scientists. A large portion of data is frequently accessed, and a large volume of data is moved from one place to another for analysis and storage. One challenging issue in such efforts is the limited network capacity for moving large datasets to explore and manage. The Bulk Data Mover (BDM), a data transfer management tool in the Earth System Grid (ESG) community, has been managing the massive dataset transfers efficiently with the pre-configured transfer properties in the environment where the network bandwidth is limited. Dynamic transfer adjustment was studied to enhance the BDM to handle significant end-to-end performance changes in the dynamic network environment as well as to control the data transfers for the desired transfer performance. We describe the results from the BDM transfer management for the climate datasets. We also describe the transfer estimation model and results from the dynamic transfer adjustment.

Sim, Alexander; Balman, Mehmet; Williams, Dean; Shoshani, Arie; Natarajan, Vijaya

2010-07-16T23:59:59.000Z

239

Decline curve analysis in unconventional resource plays using logistic growth models.  

E-Print Network (OSTI)

??Current models used to forecast production in unconventional oil and gas formations are often not producing valid results. When traditional decline curve analysis models are… (more)

Clark, Aaron James

2011-01-01T23:59:59.000Z

240

Geothermal Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Geothermal Resources Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Geothermal Resources There are a number of different resource potential estimates that have been developed. A few are listed below. NREL Geothermal Favorability Map NREL Supply Characterization and Representation In 2011, NREL conducted an analysis to characterize and represent the supply of electricity generation potential from geothermal resources in the United States. The principal products were: Capacity Potential Estimates - quantitative estimates of the potential electric capacity of U.S. geothermal resources

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

resource assessment | OpenEI  

Open Energy Info (EERE)

resource assessment resource assessment Dataset Summary Description Reduction of global greenhouse gas emission to arrest global warming requires minimizing the use of fossil fuels. To achieve this a large scale use of renewable energies must be made over the globe for production of electrical and thermal energy. Success of wind and solar energy projects require detailed and precise information on the resources. For most developing countries adequate information on the resources are not available. Source Renewable Energy Research Centre, University of Dhaka Date Released February 19th, 2007 (7 years ago) Date Updated Unknown Keywords Feasibility Study resource assessment Solar Energy SWERA Bangladesh Wind Energy Data application/pdf icon swera_bangladesh_fullreport.pdf (pdf, 2.7 MiB)

242

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Data Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Bookmark and Share Bookmark and Share Data Resources NREL's Geographic Information System (GIS) team develops technology-specific GIS data maps for a variety of areas, as well as targeted analysis tools that can help determine availability of renewable energy resources. Geographic Information System Data NREL's GIS Team develops technology-specific GIS data maps for a variety of areas, including biomass, geothermal, solar, wind, and renewable hydrogen. The team has made some of our datasets available for download through this Web site. 10km and 40km solar datasets are available for the United States and some international sites. 50m wind datasets are available for specific states, regions and some international sites. 25km wind datasets are available for the United States. 90m offshore wind datasets are available

243

Energy Data Initiative/Resources | Open Energy Information  

Open Energy Info (EERE)

< Energy Data Initiative < Energy Data Initiative Jump to: navigation, search Energy Data Initiative Crystal Clear filesystem socket.png Energy Data Jam Crystal Clear filesystem socket.png Energy Datapalooza Training.jpg Resources Partners.jpg Community Energy Data Jam Resources Title File Breakout Session Groups Breakout Session Groups Breakout Session Guidance Breakout Session Guidance Green Button Initiative Green Button Initiative - Energy Data Jam Presentation Selected Data Sets Selected Data Sets A Presentation on the value of Open Energy Information Open Energy Information Presentation Datasets Tools Datasets Tools Energy Data Jam Datasets Title Dataset Link DOE's Buildings Performance Database, sample data in csv. Dataset Energy Data Jam Tear Sheets This is a gallery view of 11 tear sheets from the energy data jam. If you

244

Integrative analysis of transcriptomic and proteomic data of Shewanella oneidensis: missing value imputation using temporal datasets  

SciTech Connect

Despite significant improvements in recent years, proteomic datasets currently available still suffer large number of missing values. Integrative analyses based upon incomplete proteomic and transcriptomic da-tasets could seriously bias the biological interpretation. In this study, we applied a non-linear data-driven stochastic gradient boosted trees (GBT) model to impute missing proteomic values for proteins experi-mentally undetected, using a temporal transcriptomic and proteomic dataset of Shewanella oneidensis. In this dataset, genes expression was measured after the cells were exposed to 1 mM potassium chromate for 5-, 30-, 60-, and 90-min, while protein abundance was measured only for 45- and 90-min samples. With the goal of elucidating the relationship between temporal gene expression and protein abundance data, and then using it to impute missing proteomic values for samples of 45-min (which does not have cognate transcriptomic data) and 90-min, we initially used nonlinear Smoothing Splines Curve Fitting (SSCF) to identify temporal relationships among transcriptomic data at different time points and then imputed missing gene expression measurements for the sample at 45-min. After the imputation was validated by biological constrains (i.e. operons), we used a data-driven Gradient Boosted Trees (GBT) model to uncover possible non-linear relationships between temporal transcriptomic and proteomic data, and to impute protein abundance for the proteins experimentally undetected in the 45- and 90-min sam-ples, based on relevant predictors such as temporal mRNA gene expression data, cellular roles, molecular weight, sequence length, protein length, guanine-cytosine (GC) content and triple codon counts. The imputed protein values were validated using biological constraints such as operon, regulon and pathway information. Finally, we demonstrated that such missing value imputation improved characterization of the temporal response of S. oneidensis to chromate.

Torres-García, Wandaliz [Arizona State University; Brown, Steven D [ORNL; Johnson, Roger [Arizona State University; Zhang, Weiwen [Arizona State University; Runger, George [Arizona State University; Meldrum, Deirdre [Arizona State University

2011-01-01T23:59:59.000Z

245

Wind Resources By Class Per Country At 50m | OpenEI  

Open Energy Info (EERE)

42 42 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142279642 Varnish cache server Wind Resources By Class Per Country At 50m Dataset Summary Description These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (United States) as processed for use in the IMAGE model. The high resolution datasets were produced by the National Renewable Energy Laboratory (United States), Risø DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data represents wind power class intervals 3 through 7 at 50 m height above ground. Wind class is derived from the capacity factor obtained from the 20% Wind Energy by 2030 Table B-10. The range was created from years 2005 and 2010.

246

A Cooperative Atmosphere–Surface Exchange Study (CASES) Dataset for Analyzing and Parameterizing the Effects of Land Surface Heterogeneity on Area-Averaged Surface Heat Fluxes  

Science Conference Proceedings (OSTI)

A multiscale dataset that includes atmospheric, surface, and subsurface observations obtained from an observation network covering a region that has a scale order comparable to mesoscale and general circulation models is described and analyzed. ...

David N. Yates; Fei Chen; Margaret A. LeMone; Russell Qualls; Steven P. Oncley; Robert L. Grossman; Edward A. Brandes

2001-05-01T23:59:59.000Z

247

Modeling of Inverter Control with Distribution Management System for Distributed Energy Resources  

Science Conference Proceedings (OSTI)

A distribution energy resource management system (DERMS) has been added as an external control to the OpenDSS software. This report discusses that control and provides case studies illustrating the feeder response. The visual interpretation of the feeder in the external control is similar to that of an operator’s control interface.The DERMS uses meters on a feeder to provide power flow data. This data is processed and used to update the control of the inverter-based generation. The ...

2013-12-20T23:59:59.000Z

248

Renewable Diesel from Algal Lipids: An Integrated Baseline for Cost, Emissions, and Resource Potential from a Harmonized Model  

DOE Green Energy (OSTI)

The U.S. Department of Energy's Biomass Program has begun an initiative to obtain consistent quantitative metrics for algal biofuel production to establish an 'integrated baseline' by harmonizing and combining the Program's national resource assessment (RA), techno-economic analysis (TEA), and life-cycle analysis (LCA) models. The baseline attempts to represent a plausible near-term production scenario with freshwater microalgae growth, extraction of lipids, and conversion via hydroprocessing to produce a renewable diesel (RD) blendstock. Differences in the prior TEA and LCA models were reconciled (harmonized) and the RA model was used to prioritize and select the most favorable consortium of sites that supports production of 5 billion gallons per year of RD. Aligning the TEA and LCA models produced slightly higher costs and emissions compared to the pre-harmonized results. However, after then applying the productivities predicted by the RA model (13 g/m2/d on annual average vs. 25 g/m2/d in the original models), the integrated baseline resulted in markedly higher costs and emissions. The relationship between performance (cost and emissions) and either productivity or lipid fraction was found to be non-linear, and important implications on the TEA and LCA results were observed after introducing seasonal variability from the RA model. Increasing productivity and lipid fraction alone was insufficient to achieve cost and emission targets; however, combined with lower energy, less expensive alternative technology scenarios, emissions and costs were substantially reduced.

Davis, R.; Fishman, D.; Frank, E. D.; Wigmosta, M. S.; Aden, A.; Coleman, A. M.; Pienkos, P. T.; Skaggs, R. J.; Venteris, E. R.; Wang, M. Q.

2012-06-01T23:59:59.000Z

249

COMPUTATIONAL RESOURCES FOR BIOFUEL FEEDSTOCK SPECIES  

SciTech Connect

While current production of ethanol as a biofuel relies on starch and sugar inputs, it is anticipated that sustainable production of ethanol for biofuel use will utilize lignocellulosic feedstocks. Candidate plant species to be used for lignocellulosic ethanol production include a large number of species within the Grass, Pine and Birch plant families. For these biofuel feedstock species, there are variable amounts of genome sequence resources available, ranging from complete genome sequences (e.g. sorghum, poplar) to transcriptome data sets (e.g. switchgrass, pine). These data sets are not only dispersed in location but also disparate in content. It will be essential to leverage and improve these genomic data sets for the improvement of biofuel feedstock production. The objectives of this project were to provide computational tools and resources for data-mining genome sequence/annotation and large-scale functional genomic datasets available for biofuel feedstock species. We have created a Bioenergy Feedstock Genomics Resource that provides a web-based portal or �clearing house� for genomic data for plant species relevant to biofuel feedstock production. Sequence data from a total of 54 plant species are included in the Bioenergy Feedstock Genomics Resource including model plant species that permit leveraging of knowledge across taxa to biofuel feedstock species.We have generated additional computational analyses of these data, including uniform annotation, to facilitate genomic approaches to improved biofuel feedstock production. These data have been centralized in the publicly available Bioenergy Feedstock Genomics Resource (http://bfgr.plantbiology.msu.edu/).

Buell, Carol Robin [Michigan State University; Childs, Kevin L [Michigan State University

2013-05-07T23:59:59.000Z

250

Resource Data File - Alaska (ARDF) | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Resource Data File - Alaska (ARDF) Resource Data File - Alaska (ARDF) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data Resource Data File - Alaska (ARDF) Dataset Summary Description The value of mineral production by state in the United States. The data represent commodities covered by the Minerals Information Team of the U.S. Geological Survey. Tags {Alaska,value,mineral,production,state,United,commodities,Minerals,information,Team,USGS,"federal data download",environment,"mining industry",economy,"economic geology","mineral resources","federal datasets",environment,mines,prospects,"mineral occurrences",gold,silver} Dataset Ratings Overall 0 No votes yet Data Utility

251

The Advanced Very High Resolution Radiometer Pathfinder Atmosphere (PATMOS) Climate Dataset: A Resource for Climate Research  

Science Conference Proceedings (OSTI)

As part of the joint National Oceanic and Atmospheric Administration (NOAA) and National Aeronautics and Space Administration (NASA) Pathfinder program, the NOAA National Environmental Satellite, Data, and Information Service (NESDIS) has created ...

Herbert Jacobowitz; Larry L. Stowe; George Ohring; Andrew Heidinger; Kenneth Knapp; Nicholas R. Nalli

2003-06-01T23:59:59.000Z

252

Stakeholder driven update and improvement of a national water resources model  

Science Conference Proceedings (OSTI)

It is generally acknowledged that water management must be based on an integrated approach, considering the entire freshwater cycle. This has in particularly been endorsed in Europe by the European Water Framework Directive (WFD) imposing integrated ... Keywords: Denmark, Groundwater, Integrated modelling, Model updating, National model, Stakeholder involvement

Anker Lajer HřJberg; Lars Troldborg; Simon Stisen; Britt B. S. Christensen; Hans JřRgen Henriksen

2013-02-01T23:59:59.000Z

253

Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios  

SciTech Connect

This paper introduces a technique for digesting geospatial wind-speed data into areally defined -- country-level, in this case -- wind resource supply curves. We combined gridded wind-vector data for ocean areas with bathymetry maps, country exclusive economic zones, wind turbine power curves, and other datasets and relevant parameters to build supply curves that estimate a country's offshore wind resource defined by resource quality, depth, and distance-from-shore. We include a single set of supply curves -- for a particular assumption set -- and study some implications of including it in a global energy model. We also discuss the importance of downscaling gridded wind vector data to capturing the full resource potential, especially over land areas with complex terrain. This paper includes motivation and background for a statistical downscaling methodology to account for terrain effects with a low computational burden. Finally, we use this forum to sketch a framework for building synthetic electric networks to estimate transmission accessibility of renewable resource sites in remote areas.

Arent, D.; Sullivan, P.; Heimiller, D.; Lopez, A.; Eurek, K.; Badger, J.; Jorgensen, H. E.; Kelly, M.; Clarke, L.; Luckow, P.

2012-10-01T23:59:59.000Z

254

Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios  

DOE Green Energy (OSTI)

This paper introduces a technique for digesting geospatial wind-speed data into areally defined -- country-level, in this case -- wind resource supply curves. We combined gridded wind-vector data for ocean areas with bathymetry maps, country exclusive economic zones, wind turbine power curves, and other datasets and relevant parameters to build supply curves that estimate a country's offshore wind resource defined by resource quality, depth, and distance-from-shore. We include a single set of supply curves -- for a particular assumption set -- and study some implications of including it in a global energy model. We also discuss the importance of downscaling gridded wind vector data to capturing the full resource potential, especially over land areas with complex terrain. This paper includes motivation and background for a statistical downscaling methodology to account for terrain effects with a low computational burden. Finally, we use this forum to sketch a framework for building synthetic electric networks to estimate transmission accessibility of renewable resource sites in remote areas.

Arent, D.; Sullivan, P.; Heimiller, D.; Lopez, A.; Eurek, K.; Badger, J.; Jorgensen, H. E.; Kelly, M.; Clarke, L.; Luckow, P.

2012-10-01T23:59:59.000Z

255

Hospitality resources | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

256

Healthcare resources | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

257

Congregation resources | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

258

Analysis of Heart Diseases Dataset using Neural Network Approach  

E-Print Network (OSTI)

One of the important techniques of Data mining is Classification. Many real world problems in various fields such as business, science, industry and medicine can be solved by using classification approach. Neural Networks have emerged as an important tool for classification. The advantages of Neural Networks helps for efficient classification of given data. In this study a Heart diseases dataset is analyzed using Neural Network approach. To increase the efficiency of the classification process parallel approach is also adopted in the training phase.

Rani, K Usha

2011-01-01T23:59:59.000Z

259

Renewable Resources: a national catalog of model projects. Volume 3. Southern Solar Energy Center Region  

DOE Green Energy (OSTI)

This compilation of diverse conservation and renewable energy projects across the United States was prepared through the enthusiastic participation of solar and alternate energy groups from every state and region. Compiled and edited by the Center for Renewable Resources, these projects reflect many levels of innovation and technical expertise. In many cases, a critique analysis is presented of how projects performed and of the institutional conditions associated with their success or failure. Some 2000 projects are included in this compilation; most have worked, some have not. Information about all is presented to aid learning from these experiences. The four volumes in this set are arranged in state sections by geographic region, coinciding with the four Regional Solar Energy Centers. The table of contents is organized by project category so that maximum cross-referencing may be obtained. This volume includes information on the Southern Solar Energy Center Region. (WHK)

None

1980-07-01T23:59:59.000Z

260

Renewable Resources: a national catalog of model projects. Volume 4. Western Solar Utilization Network Region  

DOE Green Energy (OSTI)

This compilation of diverse conservation and renewable energy projects across the United States was prepared through the enthusiastic participation of solar and alternate energy groups from every state and region. Compiled and edited by the Center for Renewable Resources, these projects reflect many levels of innovation and technical expertise. In many cases, a critique analysis is presented of how projects performed and of the institutional conditions associated with their success or failure. Some 2000 projects are included in this compilation; most have worked, some have not. Information about all is presented to aid learning from these experiences. The four volumes in this set are arranged in state sections by geographic region, coinciding with the four Regional Solar Energy Centers. The table of contents is organized by project category so that maximum cross-referencing may be obtained. This volume includes information on the Western Solar Utilization Network Region. (WHK)

None

1980-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Renewable Resources: a national catalog of model projects. Volume 1. Northeast Solar Energy Center Region  

DOE Green Energy (OSTI)

This compilation of diverse conservation and renewable energy projects across the United States was prepared through the enthusiastic participation of solar and alternate energy groups from every state and region. Compiled and edited by the Center for Renewable Resources, these projects reflect many levels of innovation and technical expertise. In many cases, a critique analysis is presented of how projects performed and of the institutional conditions associated with their success or failure. Some 2000 projects are included in this compilation; most have worked, some have not. Information about all is presented to aid learning from these experiences. The four volumes in this set are arranged in state sections by geographic region, coinciding with the four Regional Solar Energy Centers. The table of contents is organized by project category so that maximum cross-referencing may be obtained. This volume includes information on the Northeast Solar Energy Center Region. (WHK).

None

1980-07-01T23:59:59.000Z

262

OpenEI:Projects/Datasets Improvements | Open Energy Information  

Open Energy Info (EERE)

Improvements Improvements Jump to: navigation, search Contents 1 Purpose 2 Discussions on Feb 22, 2011 2.1 Longer-term Changes 2.2 Near-term Modifications to Metadata 3 Suggestions from Jan 13, 2011 3.1 Specific Changes to Metadata Fields (part of 'upload data' experience) 3.1.1 Fields as Links (rather than strings) 3.1.2 Multiple Fields 3.1.3 Data Upload Links 3.1.4 Remove 'Order' for Multiple Fields 3.2 Specific Recommendations for Improving/Expanding Metadata Fields 3.2.1 Flexible Properties/Metadata Fields 3.2.2 Wizard Flows for Common File Types 3.3 New Aspects of Datasets 3.3.1 Duplication/Relationship Detection 3.3.2 Wiki-Style Metadata 3.3.3 New Dataset 'Type': Translation (?) 3.3.4 Relationships/Similarities 4 Errors/Issues (uploading datasets) Purpose Evaluate current user-experience (for uploading, browsing, and

263

Teacher Resource Center: Curricular Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Curricular Resources Curricular Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center provides workshops and consultations on Mathematics and Science Curriculum development. Here are a list of resources for educators. See the 'Customized Workshops" link in the "Teacher's Lounge" for information about more workshops available through the TRC. Key Science Resources for Curriculum Planning Key Science Resources for Curriculum Planning

264

Wind Resources in Alaska | OpenEI  

Open Energy Info (EERE)

Resources in Alaska Resources in Alaska Dataset Summary Description Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and 100 meters and wind power density (W/m^2) at a hub height of 50 meters for a 40,000 square meter area. The additional gridded wind parameter data includes data for points spaced 2 kilometers apart, and include: predicted wind speed frequency distribution as well as speed and energy in 16 directions (the information needed to produce a wind rose image at a given point). Data included here as .kml files (for viewing in Google Earth). GIS shape files available for the gridded wind parameters datasets from AEDI (http://akenergyinventory.org/data.shtml).

265

Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker, Et Al.,  

Open Energy Info (EERE)

Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker, Et Al., Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker, Et Al., 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker, Et Al., 2010) Exploration Activity Details Location Akutan Fumaroles Area Exploration Technique Modeling-Computer Simulations Activity Date Usefulness useful DOE-funding Unknown Notes "Conceptual Model: Based on conceptual models built primarily from MT and geochemical datasets, it appears that development of the Akutan geothermal resource for power and/or direct use may be feasible. These datasets point to a shallow, tabular aquifer(s) of 155-180degrees C (i.e., "outflow zone") and a deeper, hotter resource of >220degrees C (i.e., "upflow zone") that

266

A general model of resource production and exchange in systems of interdependent specialists.  

SciTech Connect

Infrastructures are networks of dynamically interacting systems designed for the flow of information, energy, and materials. Under certain circumstances, disturbances from a targeted attack or natural disasters can cause cascading failures within and between infrastructures that result in significant service losses and long recovery times. Reliable interdependency models that can capture such multi-network cascading do not exist. The research reported here has extended Sandia's infrastructure modeling capabilities by: (1) addressing interdependencies among networks, (2) incorporating adaptive behavioral models into the network models, and (3) providing mechanisms for evaluating vulnerability to targeted attack and unforeseen disruptions. We have applied these capabilities to evaluate the robustness of various systems, and to identify factors that control the scale and duration of disruption. This capability lays the foundation for developing advanced system security solutions that encompass both external shocks and internal dynamics.

Conrad, Stephen Hamilton; Finley, Patrick D.; Beyeler, Walter Eugene; Brown, Theresa Jean; Glass, Robert John, Jr.; Breen, Peter; Kuypers, Marshall; Norton, Matthew David; Quach, Tu-Thach; Antognoli, Matthew; Mitchell, Michael David

2011-11-01T23:59:59.000Z

267

Help:Energy Hackathon Resources | Open Energy Information  

Open Energy Info (EERE)

Help page Help page Edit History Facebook icon Twitter icon » Help:Energy Hackathon Resources Jump to: navigation, search Energy Hackathon Resources (Data, APIs, Examples) for Cleanweb Hacks and Energy Mashups Join the OpenEI Energy Developer Community! Community-banner.jpg The OpenEI Developer Community is a great place to have meaningful conversations around energy datasets and APIs. Also available: energy programmer Q&A. With your log-in account, ask questions on energy development issues, find APIs and be a part of discussions that are shaping the future of open energy data and resources. Browse Energy APIs Energy API browser promo.jpg NEW: browse energy APIs available to developers! style=clear: both Energy datasets OpenEI now federates datasets from a variety of resources. Check out its

268

Detection of cognitive features from web resources in support of cultural modeling and analysis  

Science Conference Proceedings (OSTI)

The World Wide Web serves as a valuable source of culture-relevant information, which can be used to support cultural modeling and analysis activities. Part of the challenge in exploiting the Web as a source of culture-relevant information relates to ...

Antonio Penta; Nigel Shadbolt; Paul Smart; Winston R. Sieck

2011-11-01T23:59:59.000Z

269

Vulnerability assessment of groundwater resources: A modelling-based approach to the Mancha Occidental aquifer, Spain  

Science Conference Proceedings (OSTI)

The semiarid Mancha Occidental aquifer represents a paradigmatic case of intensive groundwater use for agriculture. Irrigation has proven a catalyst for welfare in the area over the last three decades, if at a significant environmental cost and while ... Keywords: Aquifer, Groundwater, Mancha Occidental, Participatory modelling, Vulnerability, Water Framework Directive

Pedro Martínez-Santos; M. Ramón Llamas; Pedro E. Martínez-Alfaro

2008-09-01T23:59:59.000Z

270

Modeling water resource systems using a service-oriented computing paradigm  

Science Conference Proceedings (OSTI)

Service-oriented computing is a software engineering paradigm that views complex software systems as an interconnected collection of distributed computational components. Each component has a defined web service interface that allows it to be loosely-coupled ... Keywords: Integrated modeling, Systems analysis, Water management, Web services

Jonathan L. Goodall; Bella F. Robinson; Anthony M. Castronova

2011-05-01T23:59:59.000Z

271

Language model adaptation using machine-translated text for resource-deficient languages  

Science Conference Proceedings (OSTI)

Text corpus size is an important issue when building a language model (LM). This is a particularly important issue for languages where little data is available. This paper introduces an LM adaptation technique to improve an LM built using a small amount ...

Arnar Thor Jensson; Koji Iwano; Sadaoki Furui

2008-01-01T23:59:59.000Z

272

Improved computational schemes for the numerical modeling of hydrothermal resources in Wyoming  

DOE Green Energy (OSTI)

A new method, the Conjugate Gradient Squared (CGS) solution technique, is shown to be extremely effective when applied to the finite-difference solution of conductive and convective heat transfer in geologic systems. The CGS method is compared to the Successive Over/Under Relaxation schemes, a version of the Gaussian elimination method, and the Generalized Minimum Residual (GMRES) approach. The CGS procedure converges at least ten times faster than the nearest competitor. The model is applied to the Thermopolis hydrothermal system, located in northwestern Wyoming. Modeled results are compared with measured temperature-depth profiles and results from other studies. The temperature decrease from 72{degree}C to 54{degrees}C along the crest of the Thermopolis anticline is shown to result from cooling of the geothermal fluid as it moves to the southeast. Modeled results show correct general trends, however, a time-varying three-dimensional model will be needed to fully explain the effects of mixing within the aquifers along the crest of the anticline and thermal affects of surface surface topography. 29 refs., 18 figs., 2 tabs.

Heasler, H.P.; George, J.H.; Allen, M.B.

1990-05-01T23:59:59.000Z

273

A New Homogenized Climate Division Precipitation Dataset for Analysis of Climate Variability and Climate Change  

Science Conference Proceedings (OSTI)

A new homogeneous climate division monthly precipitation dataset [based on full network estimated precipitation (FNEP)] was created as an alternative to the National Climatic Data Center (NCDC) climate division dataset. These alternative climate ...

D. Brent McRoberts; John W. Nielsen-Gammon

2011-06-01T23:59:59.000Z

274

Index of /datasets/files/41/pub/PUBID8_0996  

Open Energy Info (EERE)

12 Varnish cache server Directory Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot...

275

Index of /datasets/files/41/pub/PUBID8_0590  

Open Energy Info (EERE)

12 Varnish cache server Directory Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot...

276

AEO2011: Coal Production by Region and Type This dataset comes...  

Open Energy Info (EERE)

by Region and Type This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is Table 140,...

277

Zeb: Software for Integration, Display and Management of Diverse Environmental Datasets  

Science Conference Proceedings (OSTI)

This paper describes the Zeb software for integration, display, and management of diverse environmental datasets. Zeb's primary use is for the superpositioning of observational datasets (such as those collected by satellite, radar, mesonet, and ...

Jonathan Corbet; Cynthia Mueller; Chris Burghart; Kristine Gould; Gary Granger

1994-05-01T23:59:59.000Z

278

Organic aerosol components observed in Northern Hemispheric datasets from Aerosol Mass Spectrometry  

E-Print Network (OSTI)

In this study we compile and present results from the factor analysis of 43 Aerosol Mass Spectrometer (AMS) datasets (27 of the datasets are reanalyzed in this work). The components from all sites, when taken together, ...

Kroll, Jesse

279

Resource Requirements for Fault-Tolerant Quantum Simulation: The Transverse Ising Model Ground State  

E-Print Network (OSTI)

The cost, in both computational space and time, of calculating the energy of the ground state of the transverse Ising model on a fault-tolerant quantum computer is estimated using the Quantum Logic Array (QLA) architecture model. The QLA is a homogeneous, scalable, tile-based quantum architecture design employing concatenated quantum error correction for the construction of logical qubits and gates, based on experimentally viable ion-trap device technology parameters and components. The error correction requirements for calculating the energy on the QLA architecture are comparable to those for factoring large integers via Shor's quantum factoring algorithm number due to the exponential scaling of the computational timesteps with the precision. As a result, a fault-tolerant QLA-based quantum computer which can factor 1024-bit integers can also be used to calculate the Ising ground-state energy with precision of up to 7 decimal digits.

Clark, Craig R; Metodi, Tzvetan S; Gasster, Samuel D

2008-01-01T23:59:59.000Z

280

Combining PCA-based datasets without retraining of the basis vector set  

Science Conference Proceedings (OSTI)

A method of combining multiple PCA datasets together with re-projecting the dataset into the new PCA space is presented which does not require preservation of the original datasets from which the PCA descriptors were derived. Practical applications based ... Keywords: Combining collections, Incremental PCA, Principal component analysis

Gabriel Nicolae Costache; Peter Corcoran; Pawel Puslecki

2009-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Technical Resources  

Science Conference Proceedings (OSTI)

AOCS Resource Directory helps members maintain technical excellence in their professions. Technical Resources Analytical Chemistry acid analysis Analytical Chemistry aocs applicants april articles atomic)FluorometryDifferential scanning calorimetry chemi

282

What is your favorite OpenEI dataset? | OpenEI Community  

Open Energy Info (EERE)

What is your favorite OpenEI dataset? What is your favorite OpenEI dataset? Home > Groups > OpenEI Community Central Dbrodt's picture Submitted by Dbrodt(72) Contributor 31 May, 2012 - 20:14 Utility Rate Database 80% (4 votes) National Solar Radiation Database 0% (0 votes) Incentives and Policies 20% (1 vote) Other 0% (0 votes) Total votes: 5 Please let us know your favorite datasets on OpenEI. If you choose "other" plese inform us of which dataset you like. If you have a dataset you like that is not on OpenEI - please upload it here: http://en.openei.org/datasets/node/add/dataset Groups: OpenEI Community Central Login to post comments Latest polls Dc Are you willing to reply to a text message once a day with information about your comfort level at your indoor location? Posted: 17 Sep 2013 - 12:39 by Dc

283

Final report for %22High performance computing for advanced national electric power grid modeling and integration of solar generation resources%22, LDRD Project No. 149016.  

Science Conference Proceedings (OSTI)

Design and operation of the electric power grid (EPG) relies heavily on computational models. High-fidelity, full-order models are used to study transient phenomena on only a small part of the network. Reduced-order dynamic and power flow models are used when analysis involving thousands of nodes are required due to the computational demands when simulating large numbers of nodes. The level of complexity of the future EPG will dramatically increase due to large-scale deployment of variable renewable generation, active load and distributed generation resources, adaptive protection and control systems, and price-responsive demand. High-fidelity modeling of this future grid will require significant advances in coupled, multi-scale tools and their use on high performance computing (HPC) platforms. This LDRD report demonstrates SNL's capability to apply HPC resources to these 3 tasks: (1) High-fidelity, large-scale modeling of power system dynamics; (2) Statistical assessment of grid security via Monte-Carlo simulations of cyber attacks; and (3) Development of models to predict variability of solar resources at locations where little or no ground-based measurements are available.

Reno, Matthew J.; Riehm, Andrew Charles; Hoekstra, Robert John; Munoz-Ramirez, Karina; Stamp, Jason Edwin; Phillips, Laurence R.; Adams, Brian M.; Russo, Thomas V.; Oldfield, Ron A.; McLendon, William Clarence, III; Nelson, Jeffrey Scott; Hansen, Clifford W.; Richardson, Bryan T.; Stein, Joshua S.; Schoenwald, David Alan; Wolfenbarger, Paul R.

2011-02-01T23:59:59.000Z

284

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot References: SAM[1] System Advisor Model [2]

285

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from Solar Advisor Model) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot

286

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from System Advisor Model) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot

287

Transmission/Resource Library | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Transmission/Resource Library < Transmission Jump to: navigation, search ResourceLibraryHeader.png Public Involvement Resources GIS Tools and Maps Environmental Resources and Mitigation NEPA MOUs General Transmission Documents Transmission Dashboard Permitting Atlas Compare States Arizona California Colorado Idaho Montana Nevada New Mexico Oregon Utah Washington Wyoming Resource Library NEPA Database About Transmission Electricity Transmission: A Primer Overview of the grid system and the role of states in overseeing this system. The Design, Construction, and Operation of Long-Distance High-Voltage

288

Workplan and Annex: Solar Resource Knowledge Management  

DOE Green Energy (OSTI)

''Solar Resource Knowledge Management'' will be a new task under the International Energy Agency's Solar Heating and Cooling Programme. The task development has involved researchers from Germany, France, Switzerland, Spain, Portugal, Italy, Canada, the U.S. that have been engaged in the use of satellite imagery to develop solar resource maps and datasets around the world. The task will address three major areas: (1) ''Benchmarking'' of satellite-based solar resource methods so that resource information derived from approaches developed in one country or based on a specific satellite can be quantitatively intercompared with methods from other countries using different satellites, as well as with ground data; (2) Data archiving and dissemination procedures, especially focusing on access to the data by end users; and (3) basic R&D for improving the reliability and usability of the data, and for examining new types of products important to the solar industry, such as solar resource forecasts.

Renne, D.

2005-01-01T23:59:59.000Z

289

Safety Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Resources Print LBNLPub-3000: Health and Safety Manual Berkeley Lab safety guide, policies and procedures. Environment, Health, and Safety (EH&S) Staff Contact information for the...

290

Biomass Resources  

Energy.gov (U.S. Department of Energy (DOE))

Biomass resources include any plant-derived organic matter that is available on a renewable basis. These materials are commonly referred to as feedstocks.

291

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from SAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot References: SAM[1]

292

Determination of Ice Water Path Over the ARM SGP Using Combined Surface and Satellite Datasets  

NLE Websites -- All DOE Office Websites (Extended Search)

Determination of Ice Water Path Over the ARM SGP Using Determination of Ice Water Path Over the ARM SGP Using Combined Surface and Satellite Datasets J. Huang, M. M. Khaiyer, and P. W. Heck Analytical Services & Materials, Inc. Hampton, Virginia P. Minnis and B. Lin Atmospheric Sciences National Aeronautics and Space Administration Langley Research Center Hampton, Virginia T.-F. Fan Science Applications International Corporation Hampton, Virginia Introduction Global information of cloud ice water path (IWP) is urgently needed for testing of global climate models (GCMs) and other applications. Accurate quantification of the IWP is essential for characterizing the hydrological and radiation budget. For example, the reflection of shortwave radiation by ice clouds reduces the solar energy reaching the earth's surface. Ice clouds can also trap the longwave radiation

293

NREL GIS Data: Hawaii Low Resolution Concentrating Solar Power Resource |  

Open Energy Info (EERE)

Low Resolution Concentrating Solar Power Resource Low Resolution Concentrating Solar Power Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Hawaii. Purpose: Provide information on the solar resource potential for Hawaii. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

294

NREL GIS Data: Alaska Low Resolution Concentrating Solar Power Resource |  

Open Energy Info (EERE)

Alaska Low Resolution Concentrating Solar Power Resource Alaska Low Resolution Concentrating Solar Power Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Alaska. Purpose: Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximatley 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain. Units are in watt hours.

295

EU Energy Statistics 2010 (1990 - 2007)

These two datasets...  

Open Energy Info (EERE)

EU Energy Statistics 2010 (1990 - 2007)

These two datasets include energy statistics for the European Union (EU). The statistics are available from the 

296

Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets  

E-Print Network (OSTI)

components within functional genomics datasets BMC SystemssiRNA-based functional genomics of pigmentation identifiesrelated functional genomics data. J R Soc Interface Motulsky

Ho, Hsiang; Milenkovi?, Tijana; Memiševi?, Vesna; Aruri, Jayavani; Pržulj, Nataša; Ganesan, Anand K

2010-01-01T23:59:59.000Z

297

A Large-Scale, High-Resolution Hydrological Model Parameter Data Set for Climate Change Impact Assessment for the Conterminous US  

SciTech Connect

To extend geographical coverage, refine spatial resolution, and improve modeling efficiency, a computation- and data-intensive effort was conducted to organize a comprehensive hydrologic dataset with post-calibrated model parameters for hydro-climate impact assessment. Several key inputs for hydrologic simulation including meteorologic forcings, soil, land class, vegetation, and elevation were collected from multiple best-available data sources and organized for 2107 hydrologic subbasins (8-digit hydrologic units, HUC8s) in the conterminous United States at refined 1/24 (~4 km) spatial resolution. Using high-performance computing for intensive model calibration, a high-resolution parameter dataset was prepared for the macro-scale Variable Infiltration Capacity (VIC) hydrologic model. The VIC simulation was driven by DAYMET daily meteorological forcing and was calibrated against USGS WaterWatch monthly runoff observations for each HUC8. The results showed that this new parameter dataset may help reasonably simulate runoff at most US HUC8 subbasins. Based on this exhaustive calibration effort, it is now possible to accurately estimate the resources required for further model improvement across the entire conterminous United States. We anticipate that through this hydrologic parameter dataset, the repeated effort of fundamental data processing can be lessened, so that research efforts can emphasize the more challenging task of assessing climate change impacts. The pre-organized model parameter dataset will be provided to interested parties to support further hydro-climate impact assessment.

Oubeidillah, Abdoul A [ORNL] [ORNL; Kao, Shih-Chieh [ORNL] [ORNL; Ashfaq, Moetasim [ORNL] [ORNL; Naz, Bibi S [ORNL] [ORNL; Tootle, Glenn [University of Alabama, Tuscaloosa] [University of Alabama, Tuscaloosa

2014-01-01T23:59:59.000Z

298

Mobile Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Mobile Resources Mobile Resources Mobile Resources Have a mobile device? Find tips and information here. Questions? 505-667-5809 Email For information call the Service Desk at (505) 667-5809 or email mobilelibrary@lanl.gov The following resources are optimized for mobile devices or have mobile apps available for download. Resource Available App Mobile Website Available off Yellow Network with Pairing or Login Additional Information AACR Journals Apple Yes, the Journals are optimized for mobile viewing. Not the whole AACR site. Instructional pdf on pairing with voucher ACS Apple Android No American Institute of Physics Apple No American Mathematical Society No Yes Instructions for pairing mobile devices, tablets, laptops, etc. American Physical Society No Annual Reviews No Yes Instructions for pairing with mobile device available on website.

299

Federal agency resources | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

300

Multifamily housing resources | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Entertainment venue resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

302

Higher education resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

303

Data center resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

304

Senior care resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

305

Auto dealer resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

306

Online Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Online Resources Online Resources       General Information Discovering New Physics - Fermilab: where physicists unravel the mysteries of the universe Electromagnetic Simulation: Charged Particle Motion in E/M Field (by Fu-Kwun Hwang, National Taiwan Normal University) Fermilabyrinth - Online versions of exhibits at the Lederman Science Center Fermilab Virtual Tour - Photos of accelerators and detectors with figure captions International Particle Physics Outreach Group (from CERN) Fermilab Homepage - Links to general information, experiments and projects (Fermilab at Work), particle physics (inquiring minds), resources for students (education) and more High-Energy Physics Acronyms - (from Fermilab) Particle Physics - a list of links from the American Physical Society)

307

Type C: Caldera Resource | Open Energy Information  

Open Energy Info (EERE)

C: Caldera Resource C: Caldera Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type C: Caldera Resource Dictionary.png Type C: Caldera Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources. Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource Type F: Oceanic-ridge, Basaltic Resource Caldera resources may be found in many tectonic settings but are defined by their caldera structures which control the flow of the fluids in the system.

308

A survey of video datasets for human action and activity recognition  

Science Conference Proceedings (OSTI)

Vision-based human action and activity recognition has an increasing importance among the computer vision community with applications to visual surveillance, video retrieval and human-computer interaction. In recent years, more and more datasets dedicated ... Keywords: Database, Dataset, Human action recognition, Human activity recognition, Review, Survey

Jose M. Chaquet; Enrique J. Carmona; Antonio FernáNdez-Caballero

2013-06-01T23:59:59.000Z

309

Level-of-detail rendering of large-scale irregular volume datasets using particles  

Science Conference Proceedings (OSTI)

This paper describes a level-of-detail rendering technique for large-scale irregular volume datasets. It is well known that the memory bandwidth consumed by visibility sorting becomes the limiting factor when carrying out volume rendering of such datasets. ... Keywords: large-scale irregular volume, level-of-detail, volume rendering of unstructured meshes

Takuma Kawamura; Naohisa Sakamoto; Koji Koyamada

2010-09-01T23:59:59.000Z

310

Combining integrated sampling with SVM ensembles for learning from imbalanced datasets  

Science Conference Proceedings (OSTI)

Learning from imbalanced datasets is difficult. The insufficient information that is associated with the minority class impedes making a clear understanding of the inherent structure of the dataset. Most existing classification methods tend not to perform ... Keywords: Classification, Data sampling, Imbalanced data mining

Yang Liu; Xiaohui Yu; Jimmy Xiangji Huang; Aijun An

2011-07-01T23:59:59.000Z

311

Short Communication: Monitoring strategies and scale-appropriate hydrologic and biogeochemical modelling for natural resource management: Conclusions and recommendations from a session held at the iEMSs 2008  

Science Conference Proceedings (OSTI)

This short communication paper presents recommendations for developing scale-appropriate monitoring and modelling strategies to assist decision making in natural resource management (NRM). These ideas presented here were discussed in the session (S5) ... Keywords: Monitoring strategies, Nutrients, Uncertainty, Water quality, Water resources

Ulrike Bende-Michl; Martin Volk; Daren Harmel; Lachlan Newham; Tommy Dalgaard

2011-04-01T23:59:59.000Z

312

Rapidly Expanding Uses of Climate Data and Information in Agriculture and Water Resources: Causes and Characteristics of New Applications  

Science Conference Proceedings (OSTI)

During the last 20 years the use of climate data and information in agriculture and water resources has increased dramatically. This has resulted from vastly improved access to comprehensive datasets and climate information made available by wide ...

Stanley A. Changnon; Kenneth E. Kunkel

1999-05-01T23:59:59.000Z

313

Center Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Resources for Planning Center Activities Resources for Planning Center Activities       QuarkNet at Work - Resources Home QuarkNet is a teacher professional development effort funded by the National Science Foundation and the US Department of Energy. Teachers work on particle physics experiments during a summer and join a cadre of scientists and teachers working to introduce some aspects of their research into their classrooms. This allows tomorrow's particle physicists to peek over the shoulder of today's experimenters. These resources are available for lead teachers and mentors at Quartnet Centers as they design activities for associate teacher workshops and follow-on activities. Important Findings from Previous Years Mentor Tips Associate Teacher Institute Toolkit

314

Resource Directory  

Science Conference Proceedings (OSTI)

Online search and networking tool that connects AOCS members with their peers who share a common technical interest, geographic location, or affinity. Resource Directory Membership Information achievement application award Awards distinguished div

315

USLCI eGrid region electricity datasets, 2008 | OpenEI  

Open Energy Info (EERE)

eGrid region electricity datasets, 2008 eGrid region electricity datasets, 2008 Dataset Summary Description Datasets are for the US electricity grid system for eGrid regions (AKGD, AKMS, AZNM, CAMX, ERCT, FRCC, HIMS, HIOA, MROE, MROW, NEWE, NWPP, NYCW, NYLI, NYUP, RFCE, RFCM, RFCW, RMPA, SPNO, SPSO, SRMV, SRMW, SRSO, SRTV, SRVC) for 2008. The data is provided in life cycle inventory forms (xls and xml) . A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the eGrid regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the eGrid regions and is based on the EIA electricity reports for all power plants in the US. Detailed information on the methodology is included in the module

316

Reading Comprehension - Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

the planet Earth. Food, water, and sunlight are all examples of a natural resource unnatural resource science resource . A natural resource is a material found in...

317

Energy Basics: Biomass Resources  

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

Share this resource Biomass Biofuels Biopower Bio-Based Products Biomass Resources Geothermal Hydrogen Hydropower Ocean Solar Wind Biomass Resources Biomass resources include any...

318

Pathway and Resource Overview  

NLE Websites -- All DOE Office Websites (Extended Search)

Pathway and Resource Overview Pathway and Resource Overview Delivering Renewable Hydrogen Workshop - A Focus on Near-Term Applications Mark F. Ruth November 16, 2009 Palm Springs, CA NREL/PR-6A1-47108 National Renewable Energy Laboratory Innovation for Our Energy Future Definition and Presentation Outline Hydrogen pathway analysis is analysis of the total levelized cost (including return on investment), well-to- wheels (WTW) energy use, and WTW emissions for hydrogen production, delivery, and distribution pathways. This presentation focuses on * Pathway analyses using the Macro-System Model (MSM) * Resource and pathway analysis using the Hydrogen Demand and Resource Analysis Tool (HyDRA) * Status of water-electrolysis technology

319

Tools & Resources: Resource Directory  

NLE Websites -- All DOE Office Websites (Extended Search)

Resource Directory Resource Directory The guidance documents and reports below have been used by Better Buildings Neighborhood Program partners to build their programs and guide them to early successes. The tools and calculators can be used by homeowners, business owners, and program designers to help determine energy savings and other benefits associated with energy efficiency upgrades. Guidance Documents and Reports Background Program Evaluation Program Updates and Lessons Learned Program Design Marketing and Driving Demand Financing and Incentives Workforce Development Partnering with Utilities Technical Resources Tools and Calculators For Homes For Commercial Buildings Emissions and Equivalency Calculators Guidance Documents and Reports Background Recovery Through Retrofit Report

320

Template:GeothermalResourceArea | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Template Edit History Facebook icon Twitter icon » Template:GeothermalResourceArea Jump to: navigation, search This is the GeothermalResourceArea template. To define a new Geothermal Resource Area, please use the Geothermal Resource Area form. Contents 1 Parameters 2 Dependencies 3 Usage 4 Example Parameters Map - The map of the resource area. Place - The city or state in which the resource area is located. GeothermalRegion - The geothermal exploration region in which the resource area is located. GEADevelopmentPhase - The phase of plant construction, as defined by GEA (can have more than one phase if more than one project)

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Tools, Methods, and Modeling for Dynamic Distribution Systems, Power Factor Guidelines: Power Control with Distributed Energy Resources  

Science Conference Proceedings (OSTI)

With the onset in the past few years of tax incentives, subsidies, and renewable portfolio standards for distributed energy resources (DER), utilities are experiencing increasing numbers of interconnection requests for both large, MW-class systems as well as small, residential-scale systems. As a result, utilities need methods for integrating DER without impacting system reliability or power quality for other customers, while also maintaining flexibility for future changes and minimizing ...

2013-12-19T23:59:59.000Z

322

FTT:Power : A global model of the power sector with induced technological change and natural resource depletion  

E-Print Network (OSTI)

. The decarbonisation of the global power system depends first and foremost on the rate at which highly emitting technologies based on fossil fuels can be substituted for cleaner ones. While fossil fueled electricity generation technologies are mature and well... determine the 90% confidence level, and the blue curve corresponds to the most probable set of values. Uncertainty in the determination of natural resource avail- ability is notable in the case of fossil fuel reserves and re- sources. Rogner (1997) paints a...

Mercure, Jean-Francois

2011-08-25T23:59:59.000Z

323

NREL: Renewable Resource Data Center - SMARTS  

NLE Websites -- All DOE Office Websites (Extended Search)

- Simple Model of the Atmospheric Radiative Transfer of Sunshine Renewable Resource Data Center Search More Search Options Site Map The Simple Model of the Atmospheric Radiative...

324

Global Datasets of Rooting Zone Depth Inferred from Inverse Methods  

Science Conference Proceedings (OSTI)

Two inverse methods are applied to a land surface model to infer global patterns of the hydrologically active depth of the vegetation's rooting zone. The first method is based on the assumption that vegetation is optimally adapted to its ...

Axel Kleidon

2004-07-01T23:59:59.000Z

325

Storage and Sharing of Large 3D Imaging Datasets  

Science Conference Proceedings (OSTI)

A Implicit Model for Generating Polycrtalline Structures and Unstructured Meshes ... to Promote the Use of High-energy X-ray Diffraction Experiments and Detailed ... Distribution of Carbide Particles and Its Influence on Grain Growth of Ferrite ...

326

Leveraging high-throughput datasets for studies of gene regulation  

E-Print Network (OSTI)

In this thesis, I leveraged computational methods on biological data to better understand gene regulation and development of the human body, as well as of the model organisms mouse and yeast. Firstly, I tackled biological ...

Yen, Angela

2011-01-01T23:59:59.000Z

327

A Hierarchy of Data-Based ENSO Models  

Science Conference Proceedings (OSTI)

Global sea surface temperature (SST) evolution is analyzed by constructing predictive models that best describe the dataset’s statistics. These inverse models assume that the system’s variability is driven by spatially coherent, additive noise ...

D. Kondrashov; S. Kravtsov; A. W. Robertson; M. Ghil

2005-11-01T23:59:59.000Z

328

Executive Resources  

Energy.gov (U.S. Department of Energy (DOE))

The Executive Resources Division provides integrated executive policy and operational personnel support services in a centralized location to the Senior Executive Service (SES), Senior-Level (SL), Scientific and Professional (ST), Excepted Service and political appointees. Additional SES information can be found on the SES website which is located on the Office of Personnel Management’s (OPM) website.

329

A Two-Century Precipitation Dataset for the Continent of Africa  

Science Conference Proceedings (OSTI)

A wealth of historical information on climate and weather exists for the African continent. Documentary information, hydrologic indicators, and rain gauge records have been compiled and combined into a semiquantitative precipitation dataset that extends ...

Sharon E. Nicholson; Amin K. Dezfuli; Douglas Klotter

2012-08-01T23:59:59.000Z

330

Subvisual-Thin Cirrus Lidar Dataset for Satellite Verification and Climatological Research  

Science Conference Proceedings (OSTI)

A polarization (0.694-?m wavelength) lidar dataset for subvisual and thin (bluish-colored) cirrus clouds is drawn from Project FIRE (First ISCCP Regional Experiment) extended time observations. The clouds are characterized by their day–night ...

Kenneth Sassen; Byung Sung Cho

1992-11-01T23:59:59.000Z

331

Index of /datasets/files/41/pub/PUBID8_0651  

Open Energy Info (EERE)

5 - DIR Exist 21-May-2012 16:46 - DIR MaxTech 21-May-2012 16:46 - Wiki Apps Datasets Browse Upload GDR data Community Login | Sign Up Search Facebook icon Twitter icon ...

332

State Energy Data System (SEDS) Complete Dataset through 2009 | OpenEI  

Open Energy Info (EERE)

Energy Data System (SEDS) Complete Dataset through 2009 Energy Data System (SEDS) Complete Dataset through 2009 Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. The multi-dimensional nature of this EIA dataset allows users to make comparisons across States, energy sources, sectors, and over time. Related Links Link to state SEDS SEDS documentation Complete SEDS data tables and files

333

NOAA's Second-Generation Global Medium-Range Ensemble Reforecast Dataset  

Science Conference Proceedings (OSTI)

A multidecadal ensemble reforecast database is now available that is approximately consistent with the operational 0000 UTC cycle of the 2012 NOAA Global Ensemble Forecast System (GEFS). The reforecast dataset consists of an 11-member ensemble run once ...

Thomas M. Hamill; Gary T. Bates; Jeffrey S. Whitaker; Donald R. Murray; Michael Fiorino; Thomas J. Galarneau Jr.; Yuejian Zhu; William Lapenta

2013-10-01T23:59:59.000Z

334

Spatiotemporal Mapping of Temperature and Precipitation for the Development of a Multidecadal Climatic Dataset for Wisconsin  

Science Conference Proceedings (OSTI)

Results from the generation of a multidecadal gridded climatic dataset for 57 yr (1950–2006) of daily and monthly precipitation (PTotal), maximum temperature (Tmax), and minimum temperature (Tmin) are presented for the important agricultural and ...

Shawn P. Serbin; Christopher J. Kucharik

2009-04-01T23:59:59.000Z

335

A Framework for the Statistical Analysis of Large Radar and Lightning Datasets: Results from STEPS 2000  

Science Conference Proceedings (OSTI)

A framework for the statistical analysis of large radar and lightning datasets is described and implemented in order to analyze two research questions in atmospheric electricity: storms dominated by positive cloud-to-ground (+CG) lightning and ...

Timothy J. Lang; Steven A. Rutledge

2011-08-01T23:59:59.000Z

336

An Examination of Tropical Cyclone Position, Intensity, and Intensity Life Cycle within Atmospheric Reanalysis Datasets  

Science Conference Proceedings (OSTI)

The following study examines the position and intensity differences of tropical cyclones (TCs) among the Best-Track and five atmospheric reanalysis datasets to evaluate the degree to which reanalyses are appropriate for studying TCs. While ...

Benjamin A. Schenkel; Robert E. Hart

2012-05-01T23:59:59.000Z

337

Thousands of Federated Datasets on Data.gov Cities, States and...  

NLE Websites -- All DOE Office Websites (Extended Search)

added all the time. You'll find datasets from such cities as Chicago, New York and Seattle. We've got Cook and King Counties, and Denver and San Francisco City and Counties as...

338

Derived Over-Ocean Water Vapor Transports from Satellite-Retrieved E ? P Datasets  

Science Conference Proceedings (OSTI)

A methodology is developed for deriving atmospheric water vapor transports over the World Oceans from satellite-retrieved precipitation (P) and evaporation (E) datasets. The motivation for developing the method is to understand climatically ...

Byung-Ju Sohn; Eric A. Smith; Franklin R. Robertson; Seong-Chan Park

2004-03-01T23:59:59.000Z

339

FIFE Surface Climate and Site-Average Dataset 1987–89  

Science Conference Proceedings (OSTI)

This paper analyzes the First ISLSCP (International Satellite Land Surface Climatology Project) Field Experiment site-average datasets for near-surface meteorology, soil moisture, and temperature; the surface fluxes of radiation, sensible, and ...

Alan K. Betts; John H. Ball

1998-04-01T23:59:59.000Z

340

Comparison of Water-Related Land Cover Types in Six 1-km Global Land Cover Datasets  

Science Conference Proceedings (OSTI)

Land cover classification is a fundamental and vital activity that is helpful for understanding natural dynamics and the human impacts of land surface processes. Available multiple 1-km global land cover datasets have been compared to identify ...

Tosiyuki Nakaegawa

2012-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

A Global Atmospheric Analysis Dataset Downscaled from the NCEP–DOE Reanalysis  

Science Conference Proceedings (OSTI)

A global atmospheric analysis dataset is constructed via a spectral nudging technique. The 6-hourly National Centers for Environmental Prediction (NCEP)–Department of Energy (DOE) reanalysis from January 1979 to February 2011 is utilized to force ...

Jung-Eun Kim; Song-You Hong

2012-04-01T23:59:59.000Z

342

Removing the Laser-Chirp Influence from Coherent Doppler Lidar Datasets by Two-Dimensional Deconvolution  

Science Conference Proceedings (OSTI)

A chirped laser pulse can introduce artifacts into datasets of coherent Doppler wind lidars. At close vicinity of strong signal peaks undesired artificial velocities can be measured and continuous signals can be shifted by a constant factor. It is ...

Johannes Bühl; Ronny Engelmann; Albert Ansmann

2012-08-01T23:59:59.000Z

343

Comparison of the Highly Reflective Cloud and Outgoing Longwave Radiation Datasets for Use in Estimating Tropical Deep Convection  

Science Conference Proceedings (OSTI)

Currently, there are two long-term satellite-derived datasets most are frequently used as indices for tropical deep convection. These are the Outgoing Longwave Radiation (OLR) and Highly Reflective Cloud (HRC) datasets. Although both of these ...

Duane E. Waliser; Nicholas E. Graham; Catherine Gautier

1993-02-01T23:59:59.000Z

344

Exudate-based diabetic macular edema detection in fundus images using publicly available datasets  

SciTech Connect

Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME through the presence of exudation. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing (e.g., the classifier was trained on an independent dataset and tested on MESSIDOR). Our algorithm obtained an AUC between 0.88 and 0.94 depending on the dataset/features used. Additionally, it does not need ground truth at lesion level to reject false positives and is computationally efficient, as it generates a diagnosis on an average of 4.4 s (9.3 s, considering the optic nerve localization) per image on an 2.6 GHz platform with an unoptimized Matlab implementation.

Giancardo, Luca [ORNL; Meriaudeau, Fabrice [ORNL; Karnowski, Thomas Paul [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Garg, Seema [University of North Carolina; Tobin Jr, Kenneth William [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK)

2011-01-01T23:59:59.000Z

345

Help:Energy Hackathon Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Help page Edit History Facebook icon Twitter icon » Help:Energy Hackathon Resources Jump to: navigation, search Energy Hackathon Resources (Data, APIs, Examples) for Cleanweb Hacks and Energy Mashups Join the OpenEI Energy Developer Community! Community-banner.jpg The OpenEI Developer Community is a great place to have meaningful conversations around energy datasets and APIs. Also available: energy programmer Q&A. With your log-in account, ask questions on energy development issues, find APIs and be a part of discussions that are shaping the future of open energy data and resources. Browse Energy APIs Energy API browser promo.jpg NEW: browse energy APIs available to

346

OSIRIS and the Collaborative Modeling Initiative on REDD Economics | Open  

Open Energy Info (EERE)

OSIRIS and the Collaborative Modeling Initiative on REDD Economics OSIRIS and the Collaborative Modeling Initiative on REDD Economics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: OSIRIS and the Collaborative Modeling Initiative on REDD Economics Agency/Company /Organization: Conservation International Sector: Climate, Land Focus Area: Forestry Topics: GHG inventory, Resource assessment Resource Type: Dataset, Software/modeling tools User Interface: Spreadsheet Website: www.conservation.org/osiris/Pages/overview.aspx RelatedTo: Open Source Impacts of REDD Incentives Spreadsheet (OSIRIS) Cost: Free Language: English OSIRIS and the Collaborative Modeling Initiative on REDD Economics Screenshot References: OSIRIS[1] The Open Source Impacts of REDD+ Incentives Spreadsheet (OSIRIS) is a suite of free, transparent, open-source, spreadsheet-based decision support tools

347

Teacher Resource Center: Fermilab Web Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Fermilab Web Resources Fermilab Web Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The following materials are on the webserver. Fermilab Resources for Students - You might bookmark some of these resources to give your students easy access to information. Fermilab Resources for Students - You might bookmark some of these resources to give your students easy access to information. Photographs and video clips from Fermilab's Visual Media Services

348

Transmission/Resource Library/MOU | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Transmission/Resource Library/MOU < Transmission‎ | Resource Library Jump to: navigation, search ResourceLibraryHeader.png Public Involvement Resources GIS Tools and Maps Environmental Resources and Mitigation NEPA MOUs General Transmission Documents Transmission Dashboard Permitting Atlas Compare States Arizona California Colorado Idaho Montana Nevada New Mexico Oregon Utah Washington Wyoming Resource Library NEPA Database Memorandums of Understanding (MOUs)for Interstate Transmission Projects Multi-state transmission siting and permitting projects benefit from effective collaboration between government entities, tribes, project

349

Renewable Resources: a national catalog of model projects. Volume 2. Mid-American Solar Energy Complex Region  

DOE Green Energy (OSTI)

This compilation of diverse conservation and renewable energy projects across the United States was prepared through the enthusiastic participation of solar and alternate energy groups from every state and region. Compiled and edited by the Center for Renewable Resources, these projects reflect many levels of innovation and technical expertise. In many cases, a critique analysis is presented of how projects performed and of the institutional conditions associated with their success or failure. Some 2000 projects are included in this compilation; most have worked, some have not. Information about all is presented to aid learning from these experiences. The four volumes in this set are arranged in state sections by geographic region, coinciding with the four Regional Solar Energy Centers. The table of contents is organized by project category so that maximum cross-referencing may be obtained. This volume includes information on the Mid-American Solar Energy Complex Region. (WHK)

None

1980-07-01T23:59:59.000Z

350

Image Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Mosaic of earth and sky images Mosaic of earth and sky images Image Resources Free image resources covering energy, environment, and general science. Here are some links to energy- and environment-related photographic databases. Berkeley Lab Photo Archive Berkeley Lab's online digital image collection. National Science Digital Library (NSDL) NSDL is the Nation's online library for education and research in science, technology, engineering, and mathematics. The World Bank Group Photo Library A distinctive collection of over 11,000 images that illustrate development through topics such as Agriculture, Education, Environment, Health, Trade and more. Calisphere Compiles the digital collections of libraries, museums, and cultural heritage organizations across California, and organizes them by theme, such

351

Teacher Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Resources Resources Teacher Programs JLab Science Activities for Teachers - An afternoon science program for 5th, 6th and 8th grade teachers. [Program Dates: September 2013 - May 2014] Teacher Night at Jefferson Lab - Teacher Night will be held on April 2nd, 2014. Please sign-up by March 19th, 2014! Education Events Physics Fest - Cryogenics, electricity and more! Reserve your space today! Science Series - Science lectures for high school and middle school students! [Video Archive] Education Events Mailing List - An electronic mailing list to keep you informed of Jefferson Lab's public education events! Workshops and Local Groups The Virginia Section of the American Nuclear Society - Single and multi-day workshops on the science of nuclear energy and radiation.

352

OpenEI - resource assessment  

Open Energy Info (EERE)

25 Jun 2013 14:25:10 +0000 Skkhadem 965 at http:en.openei.orgdatasets United States weather resource data, compatible with System Advisor Model (SAM) http:en.openei.org...

353

Human Resource Management on Social Capital  

Science Conference Proceedings (OSTI)

Over the past years, several researchers have analysed the relational dynamics that takes place inside and between organizations concept, mediating and moderating variables, effects, etc. considering it as a resource capable of contributing to the orientation ... Keywords: Human Resource Policy, Human Resources Management, Information Technology, Proposed a Model, Social Capital

Macarena López-Fernández; Fernando Martín-Alcázar; Pedro Miguel Romero-Fernández

2010-04-01T23:59:59.000Z

354

Energy Basics: Geothermal Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Direct Use Electricity Production Geothermal Resources Hydrogen Hydropower Ocean...

355

Energy Basics: Hydropower Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Large-Scale Hydropower Microhydropower Hydropower Resources...

356

A 20-Year Dataset of Downwelling Longwave Flux at the Arctic Surface from TOVS Satellite Data  

NLE Websites -- All DOE Office Websites (Extended Search)

20-Year Dataset of Downwelling Longwave Flux 20-Year Dataset of Downwelling Longwave Flux at the Arctic Surface from TOVS Satellite Data J. Francis Rutgers University New Brunswick, New Jersey A. Schweiger Polar Science Center University of Washington Seattle, Washington J. Key National Oceanic and Atmospheric Administration National Environmental Satellite, Data, and Information Service Madison, Wisconsin Introduction This paper summarizes the progress of a study under way to generate a 20-year dataset of surface downwelling longwave flux (DLF) retrievals from satellite data over the Arctic Ocean. We will produce daily fields between late 1979 and late 1998 on a grid with a spatial resolution of 100 km x 100 km 2 north of 60°N. Surface measurements from the Surface Heat Budget of the Arctic (SHEBA) and the

357

NREL GIS Data: Indiana High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

Indiana High Resolution Wind Resource Indiana High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for the state of Indiana at a 50 meter height. Purpose: Provide information on the wind resource development potential within the state of Indiana. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 16 datum WGS 84 projection system. Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

358

NREL GIS Data: Hawaii High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

Wind Resource Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for the state of Hawaii at a 50 meter height. Purpose: Provide information on the wind resource development potential within the state of Hawaii. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 4, datum WGS 84 projection system. Other_Citation_Details: The wind power resource estimates were produced by TrueWind Solutions using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

359

Resource Center | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Site Map Printable Version Development Adoption Compliance Regulations Resource Center FAQs Publications Resource Guides eLearning Model Policies Glossary Related Links ACE Learning Series Utility Savings Estimators Resource Center The U.S. Department of Energy (DOE), through the Building Energy Codes Program (BECP) Resource Center, provides a comprehensive collection of information, resources, and technical assistance designed to answer questions and address issues related to energy codes. This includes frequently asked questions, publications, model adoption policies, compliance software and tools, and training/eLearning modules based on best practices. BECP's team of building energy codes experts is also available to answer specific questions submitted through the web-based help desk.

360

model | OpenEI  

Open Energy Info (EERE)

model model Dataset Summary Description NREL's Research and Support Facility (RSF) energy model for 2011. Source NREL Date Released February 07th, 2013 (10 months ago) Date Updated Unknown Keywords 2011 energy model NREL RSF Data text/csv icon rsf_energy_model_2011.csv (csv, 772 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating. Dataset Summary Description

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Arkansas/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Arkansas/Wind Resources/Full Version < Arkansas‎ | Wind Resources Jump to: navigation, search Print PDF Arkansas Wind Resources ArkansasMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

362

Alabama/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Alabama/Wind Resources/Full Version < Alabama‎ | Wind Resources Jump to: navigation, search Print PDF Alabama Wind Resources AlabamaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

363

Florida/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Florida/Wind Resources/Full Version < Florida‎ | Wind Resources Jump to: navigation, search Print PDF Florida Wind Resources FloridaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

364

Wind for Schools Portal Educational Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Wind for Schools Portal Educational Resources Jump to: navigation, search Wind for Schools Portal Home Comparison Motion Chart Educational Resources Educational Resources University Trade School High School Middle School Elementary School Other Resources To add a new entry, you can upload a new file. In the summary field, type in the following text to add the file to this page: [[Category:Wind for Schools LEVEL Curricula]] Where LEVEL is one of: University Trade School High School Middle School Elementary School Or assign the upload to: [[Category:Wind_for_Schools_Portal_Other_Resources]]

365

Oregon/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Oregon/Wind Resources/Full Version < Oregon‎ | Wind Resources Jump to: navigation, search Print PDF Oregon Wind Resources OregonMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

366

Maine/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Maine/Wind Resources/Full Version < Maine‎ | Wind Resources Jump to: navigation, search Print PDF Maine Wind Resources MaineMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

367

Nevada/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Nevada/Wind Resources/Full Version < Nevada‎ | Wind Resources Jump to: navigation, search Print PDF Nevada Wind Resources NevadaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

368

Delaware/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Delaware/Wind Resources/Full Version < Delaware‎ | Wind Resources Jump to: navigation, search Print PDF Delaware Wind Resources DelawareMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

369

Optimally Merging Precipitation to Minimize Land Surface Modeling Errors  

Science Conference Proceedings (OSTI)

This paper introduces a new method to improve land surface model skill by merging different available precipitation datasets, given that an accurate land surface parameter ground truth is available. Precipitation datasets are merged with the ...

M. Tugrul Yilmaz; Paul Houser; Roshan Shrestha; Valentine G. Anantharaj

2010-03-01T23:59:59.000Z

370

Energy Information, Data, and other Resources | OpenEI  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Main Page Jump to: navigation, search Your Gateway to the World's Energy Information and Data buildings geothermal hydrogen smart grid solar utilities water wind Since 2009, 6,384 users and bots have contributed 737,338 edits on 179,413 pages. See the impact we're having. Follow OpenEI on: FaceBook 32x32.png Twitter 32x32.png Youtube 32x32.png Search Find Energy Resources by region World Outline.png by type datasets, docs, maps updates from the community developer resources Recent Community Activity Not seeing a widget? (More info) Featured on OpenEI TCDB frontpage promo 188px.png

371

Scalable isosurface visualization of massive datasets on commodity off-the-shelf clusters  

Science Conference Proceedings (OSTI)

Tomographic imaging and computer simulations are increasingly yielding massive datasets. Interactive and exploratory visualizations have rapidly become indispensable tools to study large volumetric imaging and simulation data. Our scalable isosurface ... Keywords: Metabuffer, Multi-resolution, Parallel and out-of-core isocontouring, Parallel rendering, Progressive mesh

Xiaoyu Zhang; Chandrajit Bajaj

2009-01-01T23:59:59.000Z

372

Automatic Diabetic Macular Edema Detection in Fundus Images Using Publicly Available Datasets  

SciTech Connect

Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing. Our algorithm is robust to segmentation uncertainties, does not need ground truth at lesion level, and is very fast, generating a diagnosis on an average of 4.4 seconds per image on an 2.6 GHz platform with an unoptimised Matlab implementation.

Giancardo, Luca [ORNL; Meriaudeau, Fabrice [ORNL; Karnowski, Thomas Paul [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Garg, Seema [University of North Carolina; Tobin Jr, Kenneth William [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK)

2011-01-01T23:59:59.000Z

373

iGMT: Interactive Mapping of Geoscientific Datasets. User manual for version 1.0  

E-Print Network (OSTI)

GMT: Interactive Mapping of Geoscientific Datasets. # # Easy access to GMT via a Tcl/Tk GUI # # # # Copyright (C) and the Tcl/Tk toolkit by John Ousterhout. Small parts of the routines and templates were taken directly from the Tcl/Tk book by Ousterhout (1993) or the GMT documentation. Some of the initial Tk frame packing

Taylor, Mark A J

374

A Global 9-yr Biophysical Land Surface Dataset from NOAA AVHRR Data  

Science Conference Proceedings (OSTI)

Global, monthly, 1° by 1° biophysical land surface datasets for 1982–90 were derived from data collected by the Advanced Very High Resolution Radiometer (AVHRR) on board the NOAA-7, -9, and -11 satellites. The AVHRR data are adjusted for sensor ...

S. O. Los; N. H. Pollack; M. T. Parris; G. J. Collatz; C. J. Tucker; P. J. Sellers; C. M. Malmström; R. S. DeFries; L. Bounoua; D. A. Dazlich

2000-04-01T23:59:59.000Z

375

A method for mapping corn using the US Geological Survey 1992 National Land Cover Dataset  

Science Conference Proceedings (OSTI)

Long-term exposure to elevated nitrate levels in community drinking water supplies has been associated with an elevated risk of several cancers including non-Hodgkin's lymphoma, colon cancer, and bladder cancer. To estimate human exposure to nitrate, ... Keywords: Corn, Crop mapping, Landsat, National Land Cover Dataset (NLCD), Nebraska, Platte River Valley

S. K. Maxwell; J. R. Nuckols; M. H. Ward

2006-04-01T23:59:59.000Z

376

Margin-based over-sampling method for learning from imbalanced datasets  

Science Conference Proceedings (OSTI)

Learning from imbalanced datasets has drawn more and more attentions from both theoretical and practical aspects. Oversampling is a popular and simple method for imbalanced learning. In this paper, we show that there is an inherently potential risk associated ... Keywords: generalization, imbalance learning, large margin theory, over-fitting, over-sampling

Xiannian Fan; Ke Tang; Thomas Weise

2011-05-01T23:59:59.000Z

377

Workplan and Annex: Solar Resource Knowledge Management  

SciTech Connect

''Solar Resource Knowledge Management'' will be a new task under the International Energy Agency's Solar Heating and Cooling Programme. The task development has involved researchers from Germany, France, Switzerland, Spain, Portugal, Italy, Canada, the U.S. that have been engaged in the use of satellite imagery to develop solar resource maps and datasets around the world. The task will address three major areas: (1) ''Benchmarking'' of satellite-based solar resource methods so that resource information derived from approaches developed in one country or based on a specific satellite can be quantitatively intercompared with methods from other countries using different satellites, as well as with ground data; (2) Data archiving and dissemination procedures, especially focusing on access to the data by end users; and (3) basic R&D for improving the reliability and usability of the data, and for examining new types of products important to the solar industry, such as solar resource forecasts.

Renne, D.

2005-01-01T23:59:59.000Z

378

United States weather resource data, compatible with System Advisor...  

Open Energy Info (EERE)

United States weather resource data, compatible with System Advisor Model (SAM)

Weather resource data for the United States for use in the System Advisor Model (SAM).
...

379

Geothermal Resources Council's 36  

Office of Scientific and Technical Information (OSTI)

Geothermal Resources Council's 36 Geothermal Resources Council's 36 th Annual Meeting Reno, Nevada, USA September 30 - October 3, 2012 Advanced Electric Submersible Pump Design Tool for Geothermal Applications Xuele Qi, Norman Turnquist, Farshad Ghasripoor GE Global Research, 1 Research Circle, Niskayuna, NY, 12309 Tel: 518-387-4748, Email: qixuele@ge.com Abstract Electrical Submersible Pumps (ESPs) present higher efficiency, larger production rate, and can be operated in deeper wells than the other geothermal artificial lifting systems. Enhanced Geothermal Systems (EGS) applications recommend lifting 300°C geothermal water at 80kg/s flow rate in a maximum 10-5/8" diameter wellbore to improve the cost-effectiveness. In this paper, an advanced ESP design tool comprising a 1D theoretical model and a 3D CFD analysis

380

Clean Energy Manufacturing Resources - Technology Prototyping | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Guide Home » Clean Energy Manufacturing Resources - Technology Guide Home » Clean Energy Manufacturing Resources - Technology Prototyping Clean Energy Manufacturing Resources - Technology Prototyping Clean Energy Manufacturing Resources - Technology Prototyping Find resources to help you design and refine a prototype of a new clean energy technology or product. For prototyping, areas to consider include materials characterization; models and tools; intellectual property protection; small-scale production; R&D funding; and regional, state, and local resources. For more resources, see the Clean Energy Manufacturing Federal Resource Guide. Characterize Materials Shared Research Equipment User Facility - a facility at Oak Ridge National Laboratory that provides access to advanced instruments and scientists for the scale characterization of materials.

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Texas/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Texas/Wind Resources < Texas Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Texas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

382

Illinois/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Illinois/Wind Resources < Illinois Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Illinois Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

383

Arizona/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Arizona/Wind Resources < Arizona Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Arizona Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

384

California/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » California/Wind Resources < California Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> California Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

385

Connecticut/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Connecticut/Wind Resources < Connecticut Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Connecticut Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

386

Oklahoma/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Oklahoma/Wind Resources < Oklahoma Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Oklahoma Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

387

Michigan/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Michigan/Wind Resources < Michigan Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Michigan Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

388

Indiana/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Indiana/Wind Resources < Indiana Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Indiana Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

389

Maine/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Maine/Wind Resources < Maine Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Maine Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

390

Mississippi/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Mississippi/Wind Resources < Mississippi Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Mississippi Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

391

Tennessee/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Tennessee/Wind Resources < Tennessee Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Tennessee Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

392

Virginia/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Virginia/Wind Resources < Virginia Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Virginia Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

393

Georgia/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Georgia/Wind Resources < Georgia Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Georgia Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

394

Delaware/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Delaware/Wind Resources < Delaware Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Delaware Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

395

Colorado/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Colorado/Wind Resources < Colorado Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Colorado Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

396

Arkansas/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Arkansas/Wind Resources < Arkansas Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Arkansas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

397

Utah/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Utah/Wind Resources < Utah Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Utah Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate?

398

Building Technologies Office: Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Resources to someone by Resources to someone by E-mail Share Building Technologies Office: Resources on Facebook Tweet about Building Technologies Office: Resources on Twitter Bookmark Building Technologies Office: Resources on Google Bookmark Building Technologies Office: Resources on Delicious Rank Building Technologies Office: Resources on Digg Find More places to share Building Technologies Office: Resources on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Partner Log In Become a Partner Criteria Partner Locator Resources Housing Innovation Awards Events Guidelines for Home Energy Professionals Technology Research, Standards, & Codes

399

A marketplace for cloud resources  

Science Conference Proceedings (OSTI)

Cloud computing is an emerging paradigm aimed to offer users pay-per-use computing resources, while leaving the burden of managing the computing infrastructure to the cloud provider. We present a new programming and pricing model that gives the cloud ... Keywords: cloud computing, iaas, large-scale scheduling, pricing models, worst-case execution time

Thomas A. Henzinger; Anmol V. Singh; Vasu Singh; Thomas Wies; Damien Zufferey

2010-10-01T23:59:59.000Z

400

Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Environmental Energy Technologies DivisionMarch 2011  

Science Conference Proceedings (OSTI)

Energy efficiency resource standards (EERS) are a prominent strategy to potentially achieve rapid and aggressive energy savings goals in the U.S. As of December 2010, twenty-six U.S. states had some form of an EERS with savings goals applicable to energy efficiency (EE) programs paid for by utility customers. The European Union has initiated a similar type of savings goal, the Energy End-use Efficiency and Energy Services Directive, where it is being implemented in some countries through direct partnership with regulated electric utilities. U.S. utilities face significant financial disincentives under traditional regulation which affects the interest of shareholders and managers in aggressively pursuing cost-effective energy efficiency. Regulators are considering some combination of mandated goals ('sticks') and alternative utility business model components ('carrots' such as performance incentives) to align the utility's business and financial interests with state and federal energy efficiency public policy goals. European countries that have directed their utilities to administer EE programs have generally relied on non-binding mandates and targets; in the U.S., most state regulators have increasingly viewed 'carrots' as a necessary condition for successful achievement of energy efficiency goals and targets. In this paper, we analyze the financial impacts of an EERS on a large electric utility in the State of Arizona using a pro-forma utility financial model, including impacts on utility earnings, customer bills and rates. We demonstrate how a viable business model can be designed to improve the business case while retaining sizable ratepayer benefits. Quantifying these concerns and identifying ways they can be addressed are crucial steps in gaining the support of major stakeholder groups - lessons that can apply to other countries looking to significantly increase savings targets that can be achieved from their own utility-administered EE programs.

Satchwell, Andrew; Cappers, Peter; Goldman, Charles

2011-03-22T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

K-12 school resources | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

402

Sector-specific resources | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

403

Grocery & convenience stores resources | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

404

NREL: Renewable Resource Data Center - Solar Resource Data  

NLE Websites -- All DOE Office Websites (Extended Search)

Solar Resource Data The following solar resource data collections can be found in the Renewable Resource Data Center (RReDC). Cooperative Networks for Renewable Resource...

405

A GIS approach to cultural resources management and NEPA compliance  

SciTech Connect

Cultural resources management and historic preservation compliance are best approached within the broader framework of natural resources planning and land management. Argonne National Laboratory is currently assisting federal agencies with the development of computer- based resource management systems for large facilities, and cultural resources management and preservation are components of these systems. In the area of cultural resources, Argonne is using the GIS tool to demonstrate how federal facilities can manage large, complex databases, integrate cultural resource data with other environmental variables, model distributions of resources to aid in inventory and evaluation, link the data to quantitative and impact modes, and effectively manage and monitor resource planning activities and environmental compliance.

Moeller, K.

1996-06-01T23:59:59.000Z

406

Leadership Development Resource Center | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Leadership Development Resource Center Leadership Development Resource Center Leadership Development Resource Center The Office of Learning and Workforce Development believes that effective leadership is central to organizational success and has implemented the Leadership Development Resource Center. This will provide current and emerging leaders with the tools and information to help them build their leadership capacity. The LDRC is a means of coordinating resources and program efforts in order to meet DOE's mission by progressing in all phases of leadership development. DOE Leadership Philosophy Several themes describe the state of leadership development today: A growing recognition that leadership development, regardless of the theory or model that an organization adopts, involves more than just

407

LBNL-60590 JART Distributed energy resources market  

E-Print Network (OSTI)

LBNL-60590 JART Distributed energy resources market diffusion model Karl Magnus Maribua , Ryan M by the Office of Electricity Delivery and Energy Reliability, Distributed Energy Program of the U.S. Department Policy 35 (2007) 4471­4484 Distributed energy resources market diffusion model Karl Magnus Maribua

408

Type E: Extensional Tectonic, Fault-Controlled Resource | Open Energy  

Open Energy Info (EERE)

Type E: Extensional Tectonic, Fault-Controlled Resource Type E: Extensional Tectonic, Fault-Controlled Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type E: Extensional Tectonic, Fault-Controlled Resource Dictionary.png Type E: Extensional Tectonic, Fault-Controlled Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources.[1] Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource Type F: Oceanic-ridge, Basaltic Resource Extensional-tectonic, fault-controlled resources typically result from a

409

Clean Cities: Information Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Information Resources Information Resources Printable Version Share this resource Send a link to Clean Cities: Information Resources to someone by E-mail Share Clean Cities: Information Resources on Facebook Tweet about Clean Cities: Information Resources on Twitter Bookmark Clean Cities: Information Resources on Google Bookmark Clean Cities: Information Resources on Delicious Rank Clean Cities: Information Resources on Digg Find More places to share Clean Cities: Information Resources on AddThis.com... Publications Technical Assistance Information Resources Learn about Clean Cities by exploring these information resources. Publications View Clean Cities-branded publications or search for publications about alternative fuels and vehicles. Technical Assistance Learn about technical assistance available to help organizations overcome

410

Building reliability growth model using sequential experiments and the Bayesian theorem for small datasets  

Science Conference Proceedings (OSTI)

Early in the process of developing a new product, on hand data is usually scarce and it is hard to assess product reliability. Many previous studies thus assume prior product failure distribution in the area of reliability estimation. However, when real ... Keywords: Bayesian method, Reliability assessment, Reliability growth, Small data

Der-Chiang Li; Fengming M. Chang; Kuei-Ching Chen

2010-04-01T23:59:59.000Z

411

Croplands in West Africa: A Geographically Explicit Dataset for Use in Models  

Science Conference Proceedings (OSTI)

West Africa has experienced increases in cultivated lands over the last 50 yr, as well as increasing rates of deforestation. Croplands have expanded to meet the food demands of a rapidly increasing population. Nevertheless, this region remains ...

Navin Ramankutty

2004-12-01T23:59:59.000Z

412

GeoModel | OpenEI  

Open Energy Info (EERE)

GeoModel GeoModel Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA

413

NREL GIS Data: New York High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

New York High Resolution Wind Resource New York High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for New York at a 50 meter height. Purpose: Provide information on the wind resource development potential in New York. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 18, datum WGS 84 projection system. Other_Citation_Details: This map has been validated with available surface data by NREL and wind energy meteorological consultants. Source National Renewable Energy Laboratory (NREL) Date Released November 30th, 2003 (10 years ago)

414

Computer-based systematic execution model on human resources management in maritime transportation industry: The case of master selection for embarking on board merchant ships  

Science Conference Proceedings (OSTI)

Human resources management (HRM) have been increased its functionality and popularity in the shipping business, due to the expeditiously changes in technology, market strategies, risks and challenges in transportation industry. Despite the requirements ... Keywords: Analytic Network Process, Human resources management, Information technology, STCW requirements, Seafarers employment

Metin Celik; I. Deha Er; Y. Ilker Topcu

2009-03-01T23:59:59.000Z

415

Industrial Applications of Renewable Resources  

Science Conference Proceedings (OSTI)

Archive of Industrial Applications of Renewable Resources Industrial Applications of Renewable Resources Cincinnati, Ohio, USA Industrial Applications of Renewable Resources ...

416

Wind resource analysis. Annual report  

SciTech Connect

FY78 results of the Wind Resource Analyses task of the ERAB are described. Initial steps were taken to acquire modern atmosphere models of near-surface wind flow and primary data sets used in previous studies of national and regional wind resources. Because numerous assumptions are necessary to interpret available data in terms of wind energy potential, conclusions of previous studies differ considerably. These data analyses may be improved by future SERI research. State-of-the-art atmosphere models are a necessary component of the SERI wind resource analyses capacity. However, these methods also need to be tested and verified in diverse applications. The primary data sets and principal features of the models are discussed.

Hardy, D. M.

1978-12-01T23:59:59.000Z

417

Solar radiation resource assessment  

DOE Green Energy (OSTI)

The bulletin discusses the following: introduction; Why is solar radiation resource assessment important Understanding the basics; the solar radiation resource assessment project; and future activities.

Not Available

1990-11-01T23:59:59.000Z

418

Cultural resources GIS.  

E-Print Network (OSTI)

??Cultural resources are inherently spatial entities, and the paper based inventory systems that have prevailed for cultural resources have been relatively effective at recording and… (more)

Clark, Kinney E.

2006-01-01T23:59:59.000Z

419

Energy Basics: Ocean Resources  

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

Resources Although the potential for ocean energy technologies is believed to be very large, no comprehensive studies have been conducted to date to determine an accurate resource...

420

Drivers and Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Drivers and Resources Regulatory Drivers National Laws Executive Orders DOE Orders and Directives Information Resources DOE P2 Web Sites Other P2 Web Sites Environmental...

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Assessment of Biomass Resources from Marginal Lands in APEC Countries |  

Open Energy Info (EERE)

from Marginal Lands in APEC Countries from Marginal Lands in APEC Countries Jump to: navigation, search Logo: Assessment of Biomass Resources from Marginal Lands in APEC Countries Name Assessment of Biomass Resources from Marginal Lands in APEC Countries Agency/Company /Organization National Renewable Energy Laboratory Sector Energy Focus Area Biomass Topics Resource assessment Resource Type Dataset, Maps, Publications Website http://www.biofuels.apec.org/p Country Australia, Brunei, Canada, Chile, China, Indonesia, Japan, South Korea, Malaysia, Mexico, New Zealand, Papua New Guinea, Peru, Philippines, Russia, Chinese Taipei, Thailand, United States, Vietnam Australia and New Zealand, South-Eastern Asia, Northern America, South America, Eastern Asia, South-Eastern Asia, Eastern Asia, Eastern Asia, South-Eastern Asia, Central America, Australia and New Zealand, Melanesia, South America, South-Eastern Asia, Eastern Europe, , South-Eastern Asia, Northern America, South-Eastern Asia

422

Assessment and Mapping of the Riverine Hydrokinetic Resource in the  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Assessment and Mapping of the Riverine Hydrokinetic Resource in the Continental United States Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Assessment and Mapping of the Riverine Hydrokinetic Resource in the Continental United States Abstract This report describes the methodology and results of the most rigorous assessment to date of the riverine hydrokinetic energy resource in the contiguous 48 states and Alaska, excluding tidal waters. The assessment provides estimates of the gross, naturally available resource, termed the

423

Category:Geothermal Resource Areas | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:Geothermal Resource Areas Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Geothermal Areas page? For detailed information on Geothermal Areas, click here. Category:Geothermal Resource Areas Add.png Add a new Geothermal Resource Area Please be sure the area does not already exist in the list below before adding - perhaps under a different name. Pages in category "Geothermal Resource Areas" The following 200 pages are in this category, out of 323 total. (previous 200) (next 200) A Abraham Hot Springs Geothermal Area

424

Development and Evaluation of a Dataset Generator Tool for Generating Synthetic Log Files Containing Computer Attack Signatures  

Science Conference Proceedings (OSTI)

A key requirement for experimental analysis in the areas of network intrusion and computer forensics is the availability of suitable datasets. However, the inherent security and privacy issues surrounding these disciplines have resulted in a lack of ... Keywords: Computer Forensics, Data Mining, Dataset Generator, Experimental Analysis, Intrusion Detection

Stephen O'Shaughnessy; Geraldine Gray

2011-04-01T23:59:59.000Z

425

A 22-Year Dataset of Surface Longwave Fluxes in the Arctic  

NLE Websites -- All DOE Office Websites (Extended Search)

22-Year Dataset of Surface Longwave Fluxes 22-Year Dataset of Surface Longwave Fluxes in the Arctic J. Francis and J. Secora Institute of Marine and Coastal Sciences Rutgers University New Brunswick, New Jersey Abstract Downwelling longwave fluxes (DLFs) over the Arctic surface have been generated from 22.5 years of radiances and retrievals from the TIROS (television and infrared observation satellite) operational vertical sounder (TOVS). The flux retrieval algorithm has been validated and improved using surface- based radiation and cloud observations from the Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) site in Barrow, Alaska, and from the Surface Heat Balance of the Arctic (SHEBA) field program (1997-98) in the Beaufort Sea. The DLF product is presented on a 100 x

426

OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets  

NLE Websites -- All DOE Office Websites (Extended Search)

OpenMSI: A Science OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets August 27, 2013 | Tags: Basic Energy Sciences (BES), Carver, Computer Science, Dirac, Hopper, Life Sciences, Science Gateways, Visualization Group Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov OpenMSINERSC.jpg This overlay of mass spectrometry images shows the spatial distribution of three different kind of lipids across a whole mouse cross-section. Lipids act as the structural components of cell membranes and are responsible for energy storage, among other things. Image credit: Wolfgang Reindl (Berkeley Lab). Using cutting-edge mass spectrometry imaging (MSI) technology, scientists can study tissues, cell cultures and bacterial colonies in unprecedented

427

NREL GIS Data: Alaska Low Resolution Photovoltaic Solar Resource | OpenEI  

Open Energy Info (EERE)

8 8 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278078 Varnish cache server NREL GIS Data: Alaska Low Resolution Photovoltaic Solar Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Alaska. Purpose: Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximatley 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

428

Geochemical Fingerprinting of Coltan Ores by Machine Learning on Uneven Datasets  

Science Conference Proceedings (OSTI)

Two modern machine learning techniques, Linear Programming Boosting (LPBoost) and Support Vector Machines (SVMs), are introduced and applied to a geochemical dataset of niobium-tantalum ('coltan') ores from Central Africa to demonstrate how such information may be used to distinguish ore provenance, i.e., place of origin. The compositional data used include uni- and multivariate outliers and elemental distributions are not described by parametric frequency distribution functions. The 'soft margin' techniques of LPBoost and SVMs can be applied to such data. Optimization of their learning parameters results in an average accuracy of up to c. 92%, if spot measurements are assessed to estimate the provenance of ore samples originating from two geographically defined source areas. A parameterized performance measure, together with common methods for its optimization, was evaluated to account for the presence of uneven datasets. Optimization of the classification function threshold improves the performance, as class importance is shifted towards one of those classes. For this dataset, the average performance of the SVMs is significantly better compared to that of LPBoost.

Savu-Krohn, Christian, E-mail: christian.savu-krohn@unileoben.ac.at; Rantitsch, Gerd, E-mail: gerd.rantitsch@unileoben.ac.at [Montanuniversitaet Leoben, Department of Applied Geosciences and Geophysics (Austria); Auer, Peter, E-mail: auer@unileoben.ac.at [Chair for Information Technology, Montanuniversitaet Leoben (Austria); Melcher, Frank, E-mail: frank.melcher@bgr.de; Graupner, Torsten, E-mail: torsten.graupner@bgr.de [Federal Institute for Geosciences and Natural Resources (Germany)

2011-09-15T23:59:59.000Z

429

Detailed Renewable Energy Resource Assessment Data Inventory (US) | OpenEI  

Open Energy Info (EERE)

Detailed Renewable Energy Resource Assessment Data Inventory (US) Detailed Renewable Energy Resource Assessment Data Inventory (US) Dataset Summary Description Detailed inventory of available renewable energy (RE) resource assessment data. Although the type, amount, and regional distribution of resource information vary by resource, assessments are available for each RE category (conducted by DOE and various private and public organizations). Solar, wind and geothermal resources have assessment products available at numerous scales (national, regional, and site specific). Assessments are available for biomass and hydropower resources at a national level, with only limited information available at the regional and site-specific levels. Ocean energy has the least resource assessment information available. This information was compiled by NREL and initially published in the 2006 Report to Congress on Renewable Energy Resource Assessment Information for the United States (Original document courtesy of archive.org). This datasets was last updated in January, 2011. For each assessment, the inventory includes: data name, data type, source, period of record, spatial coverage, spatial resolution, temporal scale, units, stated accuracy, availability, URL, update frequency, and additional notes.

430

Business and Technical Resources  

Science Conference Proceedings (OSTI)

Business and Technical Resources. Small Business Administration. The SBA provides information on programs for starting ...

2012-06-19T23:59:59.000Z

431

Collaborative Resource Constraint Scheduling with a Fractional Shared Resource  

Science Conference Proceedings (OSTI)

We consider a collaborative scheduling problem motivated by mining in remote off-grid areas. In our model, jobs are assigned to processors who each have their own machine for executing them. As each job needs a certain amount of a resource shared between ...

Gaurav Singh; Rene Weiskircher

2008-12-01T23:59:59.000Z

432

WATER RESOURCES NEWS NEBRASKA WATER RESOURCES RESEARCH INSTITUTE  

E-Print Network (OSTI)

system for the .Atlantic Richfield Hanford Company which will accept models of ground-water conditions operations on the Hanford ground-water regime which moves through ancient sand and gravel channels deep under environmental impacts as essential factors in the planning, design and construction of water resources projects

Nebraska-Lincoln, University of

433

Teacher Resource Center: Science Fair Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Fair Resources Science Fair Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center collection is available for use onsite. The TRC is a member of the DuPage Library System. This list was prepared for a presentation to several regional library systems. The Science Fair and Beyond, was presented by Susan Dahl, sdahl@fnal.gov, 630-840-3094. (links checked October 27, 2009) See the 'Customized Workshops" link in the "Teacher's Lounge" for information about more workshops available through the TRC. Explore the Education Office website for other opportunities and services.

434

The USDA Natural Resources Conservation Service Soil Climate Analysis Network (SCAN)  

Science Conference Proceedings (OSTI)

Surface soil moisture plays an important role in the dynamics of land–atmosphere interactions and many current and upcoming models and satellite sensors. In situ data will be required to provide calibration and validation datasets. Therefore, ...

Garry L. Schaefer; Michael H. Cosh; Thomas J. Jackson

2007-12-01T23:59:59.000Z

435

Global Data on Land Surface Parameters from NOAA AVHRR for Use in Numerical Climate Models  

Science Conference Proceedings (OSTI)

This paper reviews satellite datasets from the NOAA Advanced Very High Resolution Radiometer that could be employed in support of numerical climate modeling at regional and global scales. Presently available NOAA operational and research datasets ...

G. Garik Gutman

1994-05-01T23:59:59.000Z

436

Development of a Relationship between Station and Grid-Box Rainday Frequencies for Climate Model Evaluation  

Science Conference Proceedings (OSTI)

The validation of climate model simulations creates substantial demands for comprehensive observed climate datasets. These datasets need not only to be historically and geographically extensive, but need also to be describing areally averaged ...

T. J. Osborn; M. Hulme

1997-08-01T23:59:59.000Z

437

Education: Digital Resource Center -- Ceramics: Web resources  

Science Conference Proceedings (OSTI)

Glossary of cement/ceramic terminology plus high school lesson plans and resources, 0 ... WEB: Ceramic Glossary – Ceramic Terminology and Abbreviations ...

438

Natural resource prices: will they ever turn up?  

E-Print Network (OSTI)

the same as the price of unextracted coal-here~ called theModel 1991 real price* Resource Aluminum Coal Copper Iron1991) 1991 actual price * Resource Aluminum Coal Copper Iron

Berck, Peter; Roberts, Mike

1995-01-01T23:59:59.000Z

439

Rapid DNA barcoding analysis of large datasets using the composition vector method  

E-Print Network (OSTI)

Background: Sequence alignment is the rate-limiting step in constructing profile trees for DNA barcoding purposes. We recently demonstrated the feasibility of using unaligned rRNA sequences as barcodes based on a composition vector (CV) approach without sequence alignment (Bioinformatics 22:1690). Here, we further explored the grouping effectiveness of the CV method in large DNA barcode datasets (COI, 18S and 16S rRNA) from a variety of organisms, including birds, fishes, nematodes and crustaceans. Results: Our results indicate that the grouping of taxa at the genus/species levels based on the CV/NJ approach is invariably consistent with the trees generated by traditional approaches, although in some cases the clustering among higher groups might differ. Furthermore, the CV method is always much faster than the K2P method routinely used in constructing profile trees for DNA barcoding. For instance, the alignment of 754 COI sequences (average length 649 bp) from fishes took more than ten hours to complete, while the whole tree construction process using the CV/NJ method required no more than five minutes on the same computer. Conclusion: The CV method performs well in grouping effectiveness of DNA barcode sequences, as compared to K2P analysis of aligned sequences. It was also able to reduce the time required for analysis by over 15-fold, making it a far superior method for analyzing large datasets. We conclude that the CV method is a fast and reliable method for analyzing large datasets for DNA barcoding purposes.

Ka Hou Chu; Minli Xu; Chi Pang Li

2009-01-01T23:59:59.000Z

440

International H2O Project (IHOP) 2002: Datasets Related to Atmospheric Moisture and Rainfall Prediction  

DOE Data Explorer (OSTI)

IHOP 2002 was a field experiment that took place over the Southern Great Plains of the United States from 13 May to 25 June 2002. The chief aim of IHOP_2002 was improved characterization of the four-dimensional (4-D) distribution of water vapor and its application to improving the understanding and prediction of convection. The region was an optimal location due to existing experimental and operational facilities, strong variability in moisture, and active convection [copied from http://www.eol.ucar.edu/projects/ihop/]. The project's master list of data identifies 146 publicly accessible datasets.

Schanot, Allen [IHOP 2002 PI; Friesen, Dick [IHOP 2002 PI

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Development of a high-resolution bathymetry dataset for the Columbia River through the Hanford Reach  

SciTech Connect

A bathymetric and topographic data collection and processing effort involving existing and newly collected data has been performed for the Columbia River through the Hanford Reach in central Washington State, extending 60-miles from the tailrace of Priest Rapids Dam (river mile 397) to near the vicinity of the Interstate 182 bridge just upstream of the Yakima River confluence (river mile 337). The contents of this report provide a description of the data collections, data inputs, processing methodology, and final data quality assessment used to develop a comprehensive and continuous merged 1m resolution bathymetric and topographic surface dataset for the Columbia River through the Hanford Reach.

Coleman, Andre M.; Ward, Duane L.; Larson, Kyle B.; Lettrick, Joseph W.

2010-10-08T23:59:59.000Z

442

A study of pricing for cloud resources  

Science Conference Proceedings (OSTI)

We present a study of pricing cloud resources in this position paper. Our objective is to explore and understand the interplay between economics and systems designs proposed by recent research. We develop a general model that captures the resource needs ... Keywords: capacity right-sizing, cloud computing, economics, performance guarantees, pricing, throttling

Hong Xu; Baochun Li

2013-04-01T23:59:59.000Z

443

Primer on gas integrated resource planning  

Science Conference Proceedings (OSTI)

This report discusses the following topics: gas resource planning: need for IRP; gas integrated resource planning: methods and models; supply and capacity planning for gas utilities; methods for estimating gas avoided costs; economic analysis of gas utility DSM programs: benefit-cost tests; gas DSM technologies and programs; end-use fuel substitution; and financial aspects of gas demand-side management programs.

Goldman, C.; Comnes, G.A.; Busch, J.; Wiel, S. [Lawrence Berkeley Lab., CA (United States)

1993-12-01T23:59:59.000Z

444

Teacher Resource Center  

NLE Websites -- All DOE Office Websites (Extended Search)

Teacher Resource Center: Putting It All Together Teacher Resource Center: Putting It All Together TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center provides a preview collection of K-12 instructional materials. TRC services include professional development workshops, consultation assistance, bibliographies and reference assistance. Educators have access to curriculum materials, books, multimedia, educational supply catalogs, periodicals and newsletters. The collection

445

Energy Resources | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

providing users with metadata for DOE research dataset announcement notices. U.S. Energy Information Administration The Energy Information Administration is the statistical...

446

Treatment Planning Constraints to Avoid Xerostomia in Head-and-Neck Radiotherapy: An Independent Test of QUANTEC Criteria Using a Prospectively Collected Dataset  

Science Conference Proceedings (OSTI)

Purpose: The severe reduction of salivary function (xerostomia) is a common complication after radiation therapy for head-and-neck cancer. Consequently, guidelines to ensure adequate function based on parotid gland tolerance dose-volume parameters have been suggested by the QUANTEC group and by Ortholan et al. We perform a validation test of these guidelines against a prospectively collected dataset and compared with a previously published dataset. Methods and Materials: Whole-mouth stimulated salivary flow data from 66 head-and-neck cancer patients treated with radiotherapy at the British Columbia Cancer Agency (BCCA) were measured, and treatment planning data were abstracted. Flow measurements were collected from 50 patients at 3 months, and 60 patients at 12-month follow-up. Previously published data from a second institution, Washington University in St. Louis (WUSTL), were used for comparison. A logistic model was used to describe the incidence of Grade 4 xerostomia as a function of the mean dose of the spared parotid gland. The rate of correctly predicting the lack of xerostomia (negative predictive value [NPV]) was computed for both the QUANTEC constraints and Ortholan et al. recommendation to constrain the total volume of both glands receiving more than 40 Gy to less than 33%. Results: Both datasets showed a rate of xerostomia of less than 20% when the mean dose to the least-irradiated parotid gland is kept to less than 20 Gy. Logistic model parameters for the incidence of xerostomia at 12 months after therapy, based on the least-irradiated gland, were D{sub 50} = 32.4 Gy and and {gamma} = 0.97. NPVs for QUANTEC guideline were 94% (BCCA data), and 90% (WUSTL data). For Ortholan et al. guideline NPVs were 85% (BCCA) and 86% (WUSTL). Conclusion: These data confirm that the QUANTEC guideline effectively avoids xerostomia, and this is somewhat more effective than constraints on the volume receiving more than 40 Gy.

Moiseenko, Vitali, E-mail: vmoiseenko@bccancer.bc.ca [Department of Medical Physics, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Wu, Jonn [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Hovan, Allan [Department of Oral Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Saleh, Ziad; Apte, Aditya; Deasy, Joseph O. [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY (United States); Harrow, Stephen [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Rabuka, Carman; Muggli, Adam [Department of Oral Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Thompson, Anna [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada)

2012-03-01T23:59:59.000Z

447

NREL: Water Power Research - Resource Characterization  

NLE Websites -- All DOE Office Websites (Extended Search)

Resource Characterization Resource Characterization Building on its success in wind resource characterization and assessment, the National Renewable Energy Laboratory (NREL) has extended its capabilities to the field of water power. NREL's team of scientists, engineers and computer experts has broad experience in physical oceanography, meteorology, modeling, data analysis, and Geographic Information Systems. Many years of experience in wind assessment have enabled NREL to develop the skills and methodologies to evaluate the development potential of many different water-based energy technologies. Read about NREL's current water power resource characterization projects. Printable Version Water Power Research Home Capabilities Design Review & Analysis Device & Component Testing

448

Where can I find APIs and other resources for developers competing at  

Open Energy Info (EERE)

Where can I find APIs and other resources for developers competing at Where can I find APIs and other resources for developers competing at Cleanweb hackathons? Home > Groups > Developer Submitted by Rmckeel on 25 June, 2012 - 07:23 1 answer Points: 0 There are a few that I know of: http://en.openei.org/wiki/Help:Energy_Hackathon_Resources is the list on OpenEI (please add/edit the page if you want!) Also check out http://cleanweb.co/apis and http://cleanweb.co/datasets for APIs and datasets developers can use! Rmckeel on 25 June, 2012 - 07:24 Groups Menu You must login in order to post into this group. Recent content Thank you Jon, I know about th... Hi Yury-Thank you for your i... source code for OpenEI extensions Timo,My apologies for the ... Browse by region (RaphaelSVGMap) more Group members (19) Managers: Rmckeel Recent members:

449

Where can I find APIs and other resources for developers competing at  

Open Energy Info (EERE)

Where can I find APIs and other resources for developers competing at Where can I find APIs and other resources for developers competing at Cleanweb hackathons? Home > Groups > Developer Submitted by Rmckeel on 25 June, 2012 - 07:23 1 answer Points: 0 There are a few that I know of: http://en.openei.org/wiki/Help:Energy_Hackathon_Resources is the list on OpenEI (please add/edit the page if you want!) Also check out http://cleanweb.co/apis and http://cleanweb.co/datasets for APIs and datasets developers can use! Rmckeel on 25 June, 2012 - 07:24 Groups Menu You must login in order to post into this group. Recent content Thank you Jon, I know about th... Hi Yury-Thank you for your i... source code for OpenEI extensions Timo,My apologies for the ... Browse by region (RaphaelSVGMap) more Group members (19) Managers: Rmckeel Recent members:

450

NREL GIS Data: South Carolina High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

646 646 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278646 Varnish cache server NREL GIS Data: South Carolina High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for the state of South Carolina at a 50 meter height. Purpose: Provide information on the wind resource development potential within the state of South Carolina. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a WGS 84 projection system.

451

Assessment of the Accuracy and Computing Speed of Simplified Saturation Vapor Equations Using a New Reference Dataset  

Science Conference Proceedings (OSTI)

A revised saturation vapor dataset is proposed for use in meteorology. Based on new engineering data of the American Society of Heating, Refrigerating, and Air-Conditioning Engineers for temperatures above 0°C, it should supersede the older ...

Christian Gueymard

1993-07-01T23:59:59.000Z

452

A Comparison of Decadal-to-Interdecadal Variability and Trend in Reanalysis Datasets Using Atmospheric Angular Momentum  

Science Conference Proceedings (OSTI)

An intercomparison of the global relative angular momentum MR in five reanalysis datasets, including the Twentieth Century Reanalysis (20CR), is performed for the second half of the twentieth century. The intercomparison forms a stringent test for ...

Houk Paek; Huei-Ping Huang

2012-07-01T23:59:59.000Z

453

APHRODITE: Constructing a Long-Term Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges  

Science Conference Proceedings (OSTI)

A daily gridded precipitation dataset covering a period of more than 57 yr was created by collecting and analyzing rain gauge observation data across Asia through the activities of the Asian Precipitation—Highly Resolved Observational Data Integration ...

Akiyo Yatagai; Kenji Kamiguchi; Osamu Arakawa; Atsushi Hamada; Natsuko Yasutomi; Akio Kitoh

2012-09-01T23:59:59.000Z

454

Seasonal Variations in the Southern Hemisphere Storm Tracks and Jet Streams as Revealed in a Reanalysis Dataset  

Science Conference Proceedings (OSTI)

Regional characteristics of the climatological seasonal variations in Southern Hemisphere (SH) storm tracks are examined based on a reanalysis dataset. When differences in vertical structure between the subpolar and subtropical jet streams (SPJ ...

Hisashi Nakamura; Akihiko Shimpo

2004-05-01T23:59:59.000Z

455

Comparison of High-Cloud Characteristics as Estimated by Selected Spaceborne Observations and Ground-Based Lidar Datasets  

Science Conference Proceedings (OSTI)

The characterization of high clouds as performed from selected spaceborne observations is assessed in this article by employing a number of worldwide ground-based lidar multiyear datasets as reference. Among the latter, the ground lidar ...

Artemio Plana-Fattori; Gérard Brogniez; Patrick Chervet; Martial Haeffelin; Olga Lado-Bordowsky; Yohann Morille; Frédéric Parol; Jacques Pelon; Antoine Roblin; Genevičve Sčze; Claudia Stubenrauch

2009-06-01T23:59:59.000Z

456

Low-Frequency Variability of the Equatorial Pacific Ocean Using a New Pseudostress Dataset: 1930–1989  

Science Conference Proceedings (OSTI)

Interannual and interdecadal variability of the equatorial Pacific are examined using a new pseudostress dataset. The monthly mean pseudostress fields (1930–89)are derived from Comprehensive Ocean-Atmosphere Data Set (COADS) pseudostresses using ...

Jay F. Shriver; James J. O'Brien

1995-11-01T23:59:59.000Z

457

A Southeastern South American Daily Gridded Dataset of Observed Surface Minimum and Maximum Temperature for 1961–2000  

Science Conference Proceedings (OSTI)

This study presents a southeastern South American gridded dataset of daily minimum and maximum surface temperatures for 1961–2000. The data used for the gridding are observed daily data from meteorological stations in Argentina, Brazil, Paraguay, and ...

Bárbara Tencer; Matilde Rusticucci; Phil Jones; David Lister

2011-10-01T23:59:59.000Z

458

Supercooled Liquid Water Clouds in Utah Winter Mountain Storms: Cloud-seeding Implications of a Remote-Sensing Dataset  

Science Conference Proceedings (OSTI)

A polarization lidar, dual-wavelength microwave radiometer, and radiosonde dataset from 19 winter storms studied over the Tushar Mountains in the 1985 and 1987 Utah?NOAA cooperative weather modification field campaigns are used to characterize ...

Kenneth Sassen; Hongjie Zhao

1993-09-01T23:59:59.000Z

459

A New Operational Model for Satellite-Derived Irradiances: Description and  

Open Energy Info (EERE)

A New Operational Model for Satellite-Derived Irradiances: Description and A New Operational Model for Satellite-Derived Irradiances: Description and Validation Dataset Summary Description (Abstract): We present a new simple model capable of exploiting geostationary satellite visible images for the production of site/time specific global and direct irradiances The new model features new clear sky global and direct irradiance functions, a new cloud-index-to-irradiance index function, a new global-to-direct-irradiance conversion model. The model can also exploit operationally available snow cover resource data, while deriving local ground specular reflectance characteristics from the stream of incoming satellite data. Validation against 10 US locations representing a wide range of climatic environments indicates that model performance is

460

Local Energy Sites and Resources | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Local Energy Sites and Resources Local Energy Sites and Resources Energy Data Apps Maps Challenges Resources Blogs Let's Talk Energy Beta You are here Data.gov » Communities » Energy » Forums Local Energy Sites and Resources Submitted by Jeanne Holm on Thu, 06/30/2011 - 2:16am Log in to vote 2 We've started a list of city and state energy sites and resources. Do you know of others? Please let us know what sites, resources, events, and activities you find useful in your area. Thanks! Add new comment I like Permalink Submitted by Anonymous on Fri, 07/01/2011 - 3:36am. I like reply Energy information by state Permalink Submitted by Ryan McKeel on Tue, 07/05/2011 - 12:51pm. Jeanne, If it'd be useful for you, we have state energy resources by state. They aren't in the form of a state-created dataset (I like the

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Training and Learning Resources | Open Energy Information  

Open Energy Info (EERE)

Training and Learning Resources Training and Learning Resources Jump to: navigation, search Where can I learn more about clean energy technologies? The trainings, websites, presentations and publications listed below provide general and technical information on clean energy technologies, as well as policy, market and financial information to better inform clean energy decisions. Contents 1 Featured Training Resources 1.1 Clean Energy 1.1.1 Cross-cutting 1.1.2 Energy Efficiency 1.1.3 Renewable Energy 1.2 Energy Modeling 1.3 Local Planning 1.4 Sustainable Development and Climate Change 2 Featured Presentations 2.1 Biomass 2.2 Solar 2.3 Planning 3 Featured Websites 4 Search by Sector 5 Search All Resources 6 Country-Specific Training Programs 7 Add Resources Featured Training Resources Clean Energy

462

Transmission/Resource Library/Enviromental Resources and Mitigation...  

Open Energy Info (EERE)

Resources and Mitigation < Transmission | Resource Library(Redirected from TransmissionResource LibraryMitigation) Redirect page Jump to: navigation, search REDIRECT...

463

Energy Resource Library  

Energy.gov (U.S. Department of Energy (DOE))

The Office of Indian Energy resource library provides links to helpful resources for Tribes on energy project development and financing in Indian Country. The library includes links to more than 85...

464

Enabling Materials Resource Sustainability  

Science Conference Proceedings (OSTI)

Mar 6, 2013 ... REWAS 2013: Enabling Materials Resource Sustainability: Enabling Sustainability through Education and Consumer Awareness Sponsored ...

465

Web Resources - TMS  

Science Conference Proceedings (OSTI)

New Messages, Rating, WEB RESOURCE: Research on Nuclear Wastes French Atomic Energy Commission. Strategies for radioactive waste management, 0 ...

466

Electronic Materials: Web resources  

Science Conference Proceedings (OSTI)

Jan 11, 2008 ... WEB: NETWORKS MATEC, Maricopa Community Colleges. NSF resource center focused on semiconductor and electronics education, 0, 811 ...

467

Live Working Resource Center  

Science Conference Proceedings (OSTI)

This report is a summary of work performed in 2008 on the EPRI Live Working Resource Center (LWRC) web site.

2008-12-16T23:59:59.000Z

468

Geothermal Energy Resources (Louisiana)  

Energy.gov (U.S. Department of Energy (DOE))

Louisiana developed policies regarding geothermal stating that the state should pursue the rapid and orderly development of geothermal resources.

469

A Comparison between Raw Ensemble Output, (Modified) Bayesian Model Averaging, and Extended Logistic Regression Using ECMWF Ensemble Precipitation Reforecasts  

Science Conference Proceedings (OSTI)

Using a 20-yr ECMWF ensemble reforecast dataset of total precipitation and a 20-yr dataset of a dense precipitation observation network in the Netherlands, a comparison is made between the raw ensemble output, Bayesian model averaging (BMA), and ...

Maurice J. Schmeits; Kees J. Kok

2010-11-01T23:59:59.000Z

470

Bulk flows from galaxy luminosities: application to 2MASS redshift survey and forecast for next-generation datasets  

E-Print Network (OSTI)

We present a simple method for measuring cosmological bulk flows from large redshift surveys, based on the apparent dimming or brightening of galaxies due to their peculiar motion. It is aimed at estimating bulk flows of cosmological volumes containing large numbers of galaxies. Constraints on the bulk flow are obtained by minimizing systematic variations in galaxy luminosities with respect to a reference luminosity function measured from the whole survey. This method offers two advantages over more popular bulk flow estimators: it is independent of error-prone distance indicators and of the poorly-known galaxy bias. We apply the method to the 2MASS redshift survey (2MRS) to measure the local bulk flows of spherical shells centered on the Milky Way (MW). The result is consistent with that obtained by Nusser and Davis (2011) using the SFI++ catalogue of Tully-Fisher distance indicators. We also make an assessment of the ability of the method to constrain bulk flows at larger redshifts ($z=0.1-0.5$) from next generation datasets. As a case study we consider the planned EUCLID survey. Using this method we will be able to measure a bulk motion of $ \\sim 200 \\kms$ of $10^6$ galaxies with photometric redshifts, at the $3\\sigma$ level for both $z\\sim 0.15$ and $z\\sim 0.5$. Thus the method will allow us to put strong constraints on dark energy models as well as alternative theories for structure formation.

Adi Nusser; Enzo Branchini; Marc Davis

2011-02-21T23:59:59.000Z

471

Bulk Data Movement for Climate Dataset: Efficient Data Transfer Management with Dynamic Transfer Adjustment  

E-Print Network (OSTI)

computing.llnl.gov/resources/gdo/ NERSC Data Transfer Node (replication from LLNL to NERSC over shared network. GridFTPat LLNL to one destination at NERSC show throughput history

Sim, Alexander

2010-01-01T23:59:59.000Z

472

PNNL-MILAGRO Aerosol Modeling in Mexico | Open Energy Information  

Open Energy Info (EERE)

PNNL-MILAGRO Aerosol Modeling in Mexico PNNL-MILAGRO Aerosol Modeling in Mexico Jump to: navigation, search Name PNNL-MILAGRO Aerosol Modeling in Mexico Agency/Company /Organization Pacific Northwest National Laboratory Topics Co-benefits assessment Resource Type Dataset, Maps Website http://www.pnl.gov/atmospheric Country Mexico UN Region Latin America and the Caribbean References PNNL-MILAGRO Aerosol Modeling in Mexico[1] "MILGARO surface data includes measurements from Supersites, RAMA (Red Automatica de Monitoreo Atmosferico), Mobile, and Other sites. A description of each site type follows along with a plot of the site locations. Supersites Supersites provide detailed atmospheric chemistry and meteorological measurements; these sites included: T0 (located at the Instituto Mexicano

473

Laie, Hawaii: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Laie, Hawaii: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 21.649067°, -157.925454° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":21.649067,"lon":-157.925454,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

474

Caruthersville, Missouri: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Caruthersville, Missouri: Energy Resources (Redirected from Caruthersville, MO) Jump to: navigation, search Equivalent URI DBpedia Coordinates 36.1931245°, -89.6556353° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":36.1931245,"lon":-89.6556353,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

475

Rankin, Pennsylvania: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Rankin, Pennsylvania: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.412569°, -79.879216° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.412569,"lon":-79.879216,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

476

Colorado: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Colorado: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.5500507,"lon":-105.7820674,"alt":0,"address":"Colorado","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

477

Guinea: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Guinea: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":11,"lon":-10,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

478

Katy, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Katy, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.7857853°, -95.8243956° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.7857853,"lon":-95.8243956,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

479

Scottsdale, Arizona: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Scottsdale, Arizona: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.5092103°, -111.8990327° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.5092103,"lon":-111.8990327,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

480

California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » California: Energy Resources (Redirected from State of California) Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

Note: This page contains sample records for the topic "resource datasets modeled" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Oregon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Oregon: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.8041334,"lon":-120.5542012,"alt":0,"address":"Oregon","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

482

Portugal: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Portugal: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.5,"lon":-8,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

483

Arkansas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Arkansas: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.20105,"lon":-91.8318334,"alt":0,"address":"Arkansas","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

484

Liberia: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Liberia: Energy Resources (Redirected from ECOWAS Gateway-Liberia) Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":6.428055,"lon":-9.429499,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}