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Sample records for lidar vertical profiles

  1. Doppler Lidar Vertical Velocity Statistics Value-Added Product...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Doppler Lidar Vertical Velocity Statistics ... Facility operates coherent Doppler lidar systems at several sites around the globe. ...

  2. Doppler Lidar Vertical Velocity Statistics Value-Added Product...

    Office of Scientific and Technical Information (OSTI)

    Vertical Velocity Statistics Value-Added Product Citation Details In-Document Search Title: Doppler Lidar Vertical Velocity Statistics Value-Added Product You are accessing a ...

  3. ARM: Temperature Profiles from Raman Lidar at 10-min averaging...

    Office of Scientific and Technical Information (OSTI)

    Temperature Profiles from Raman Lidar at 10-min averaging interval Title: ARM: Temperature Profiles from Raman Lidar at 10-min averaging interval Temperature Profiles from Raman ...

  4. ARM: Temperature Profiles from Raman Lidar at 60-min averaging...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: ARM: Temperature Profiles from Raman Lidar at 60-min averaging interval Temperature Profiles from Raman Lidar at 60-min averaging ...

  5. Doppler Lidar Vertical Velocity Statistics Value-Added Product

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

    49 Doppler Lidar Vertical Velocity Statistics Value-Added Product RK Newsom C Sivaraman TR Shippert LD Riihimaki July 2015 DISCLAIMER This report was prepared as an account of work...

  6. Doppler Lidar Vertical Velocity Statistics Value-Added Product (Technical

    Office of Scientific and Technical Information (OSTI)

    Report) | SciTech Connect Vertical Velocity Statistics Value-Added Product Citation Details In-Document Search Title: Doppler Lidar Vertical Velocity Statistics Value-Added Product Accurate height-resolved measurements of higher-order statistical moments of vertical velocity fluctuations are crucial for improved understanding of turbulent mixing and diffusion, convective initiation, and cloud life cycles. The Atmospheric Radiation Measurement (ARM) Climate Research Facility operates coherent

  7. ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction profiles...

    Office of Scientific and Technical Information (OSTI)

    extinction profiles and aerosol optical thickness, from first Ferrare algorithm Citation Details In-Document Search Title: ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction ...

  8. ARM - PI Product - Raman lidar/AERI PBL Height Product

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

    from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of...

  9. ARM: 10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

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

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  10. ARM: 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

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

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  11. ARM: 10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

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

    Chitra Sivaraman; Connor Flynn

    1998-03-01

    10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  12. ARM: 1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

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

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  13. ARM: 1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

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

    Chitra Sivaraman; Connor Flynn

    2004-10-01

    1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  14. ARM: 10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

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

    Newsom, Rob; Goldsmith, John

    1998-03-01

    10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  15. ARM: 10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

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

    Chitra Sivaraman; Connor Flynn

    10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  16. ARM: 10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

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

    Chitra Sivaraman; Connor Flynn

    10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  17. ARM: 10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

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

    Chitra Sivaraman; Connor Flynn

    10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  18. ARM: 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

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

    Sivaraman, Chitra; Flynn, Connor

    2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  19. ARM: 1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

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

    Chitra Sivaraman; Connor Flynn

    1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  20. ARM: 1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

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

    Chitra Sivaraman; Connor Flynn

    1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  1. Lidar Measurements of the Vertical Distribution of Aerosol Optical and Physical Properties over Central Asia

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

    Chen, Boris B.; Sverdlik, Leonid G.; Imashev, Sanjar A.; Solomon, Paul A.; Lantz, Jeffrey; Schauer, James J.; Shafer, Martin M.; Artamonova, Maria S.; Carmichael, Gregory R.

    2013-01-01

    The vertical structure of aerosol optical and physical properties was measured by Lidar in Eastern Kyrgyzstan, Central Asia, from June 2008 to May 2009. Lidar measurements were supplemented with surface-based measurements of PM 2.5 and PM 10 mass and chemical composition in both size fractions. Dust transported into the region is common, being detected 33% of the time. The maximum frequency occurred in the spring of 2009. Dust transported to Central Asia comes from regional sources, for example, Taklimakan desert and Aral Sea basin, and from long-range transport, for example, deserts of Arabia, Northeast Africa, Iran, and Pakistan. Regionalmore » sources are characterized by pollution transport with maximum values of coarse particles within the planetary boundary layer, aerosol optical thickness, extinction coefficient, integral coefficient of aerosol backscatter, and minimum values of the Ångström exponent. Pollution associated with air masses transported over long distances has different characteristics during autumn, winter, and spring. During winter, dust emissions were low resulting in high values of the Ångström exponent (about 0.51) and the fine particle mass fraction (64%). Dust storms were more frequent during spring with an increase in coarse dust particles in comparison to winter. The aerosol vertical profiles can be used to lower uncertainty in estimating radiative forcing.« less

  2. Vertical Seismic Profiling At Rye Patch Area (DOE GTP, 2011)...

    Open Energy Info (EERE)

    Vertical Seismic Profiling At Rye Patch Area (DOE GTP, 2011) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Vertical Seismic Profiling At Rye...

  3. Vertical Seismic Profiling At Snake River Plain Region (DOE GTP...

    Open Energy Info (EERE)

    Vertical Seismic Profiling At Snake River Plain Region (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Vertical Seismic Profiling At...

  4. ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

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

    Sivaraman, Chitra; Flynn, Connor

    2010-12-15

    10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  5. ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

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

    Sivaraman, Chitra; Flynn, Connor

    2010-12-15

    10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  6. ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

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

    Sivaraman, Chitra; Flynn, Connor

    10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

  7. ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

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

    Sivaraman, Chitra; Flynn, Connor

    10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

  8. Raman Lidar Receives Improvements

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

    2 Raman Lidar Receives Improvements The Raman lidar at the SGP central facility is receiving upgrades to its environmental controls. This ground-based remote sensing instrument uses a laser to measure vertical profiles of water vapor mixing ratio, as well as many cloud and aerosol quantities. The lidar is housed in a shipping container (Figure 1) that has its own heating and air conditioning unit to maintain the stable temperature and humidity levels required by the computer and laser equipment.

  9. ARM: 10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

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

    Chitra Sivaraman; Connor Flynn

    1998-03-01

    10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

  10. ARM: 10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

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

    Chitra Sivaraman; Connor Flynn

    10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

  11. Remote Sensing of Cirrus Particle Size Vertical Profile Using 1.38 μm

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

    Spectrum and MODIS/ARM Data Remote Sensing of Cirrus Particle Size Vertical Profile Using 1.38 μm Spectrum and MODIS/ARM Data Wang, Xingjuan UCLA Department of Atmospheric & Oceanic Sciences Liou, Kuo-Nan UCLA Ou, Szu-cheng University of California, Los Angeles Takano, Yoshihede UCLA Department of Atmospheric & Oceanic Sciences Chen, Yong UCLA Category: Cloud Properties The time series of backscattering coefficients derived from lidar and Doppler millimeter-wave radar returns, as

  12. Vertical microphysical profiles of convective clouds as a tool for

    Office of Scientific and Technical Information (OSTI)

    obtaining aerosol cloud-mediated climate forcings (Technical Report) | SciTech Connect Vertical microphysical profiles of convective clouds as a tool for obtaining aerosol cloud-mediated climate forcings Citation Details In-Document Search Title: Vertical microphysical profiles of convective clouds as a tool for obtaining aerosol cloud-mediated climate forcings Quantifying the aerosol/cloud-mediated radiative effect at a global scale requires simultaneous satellite retrievals of cloud

  13. Beam Profile Monitor With Accurate Horizontal And Vertical Beam Profiles

    DOE Patents [OSTI]

    Havener, Charles C [Knoxville, TN; Al-Rejoub, Riad [Oak Ridge, TN

    2005-12-26

    A widely used scanner device that rotates a single helically shaped wire probe in and out of a particle beam at different beamline positions to give a pair of mutually perpendicular beam profiles is modified by the addition of a second wire probe. As a result, a pair of mutually perpendicular beam profiles is obtained at a first beamline position, and a second pair of mutually perpendicular beam profiles is obtained at a second beamline position. The simple modification not only provides more accurate beam profiles, but also provides a measurement of the beam divergence and quality in a single compact device.

  14. Imaging doppler lidar for wind turbine wake profiling

    DOE Patents [OSTI]

    Bossert, David J.

    2015-11-19

    An imaging Doppler lidar (IDL) enables the measurement of the velocity distribution of a large volume, in parallel, and at high spatial resolution in the wake of a wind turbine. Because the IDL is non-scanning, it can be orders of magnitude faster than conventional coherent lidar approaches. Scattering can be obtained from naturally occurring aerosol particles. Furthermore, the wind velocity can be measured directly from Doppler shifts of the laser light, so the measurement can be accomplished at large standoff and at wide fields-of-view.

  15. Finnish Meteorological Institute Doppler Lidar

    SciTech Connect (OSTI)

    Ewan OConnor

    2015-03-27

    This doppler lidar system provides co-polar and cross polar attenuated backscatter coefficients,signal strength, and doppler velocities in the cloud and in the boundary level, including uncertainties for all parameters. Using the doppler beam swinging DBS technique, and Vertical Azimuthal Display (VAD) this system also provides vertical profiles of horizontal winds.

  16. LIDAR

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

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

  17. Finnish Meteorological Institute Doppler Lidar (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Search Results Finnish Meteorological Institute Doppler Lidar Title: Finnish Meteorological Institute Doppler Lidar This doppler lidar system provides co-polar and cross polar attenuated backscatter coefficients,signal strength, and doppler velocities in the cloud and in the boundary level, including uncertainties for all parameters. Using the doppler beam swinging DBS technique, and Vertical Azimuthal Display (VAD) this system also provides vertical profiles of horizontal winds.

  18. Measurements of Wind and Turbulence Profiles with Scanning Doppler Lidar for Wind Energy Applications

    SciTech Connect (OSTI)

    Frehlich, R.; Kelley, N.

    2008-03-01

    High-quality profiles of mean and turbulent statistics of the wind field upstream of a wind farm can be produced using a scanning Doppler lidar. Careful corrections for the spatial filtering of the wind field by the lidar pulse produce turbulence estimates equivalent to point sensors but with the added advantage of a larger sampling volume to increase the statistical accuracy of the estimates. For a well-designed lidar system, this permits accurate estimates of the key turbulent statistics over various subdomains and with sufficiently short observation times to monitor rapid changes in conditions. These features may be ideally suited for optimal operation of wind farms and also for improved resource assessment of potential sites.

  19. Reduction of the pulse spike-cut error in Fourier-deconvolved lidar profiles

    SciTech Connect (OSTI)

    Stoyanov, D.V.; Gurdev, L.L.; Dreischuh, T.N.

    1996-08-01

    A simple approach is analyzed and applied to the National Oceanic and Atmospheric Administration (NOAA) Doppler lidar data to reduce the error in Fourier-deconvolved lidar profiles that is caused by spike-cut uncertainty in the laser pulse shape, i.e., uncertainty of the type of not well-recorded (cut, missed) pulse spikes. Such a type of uncertainty is intrinsic to the case of TE (TEA) CO{sub 2} laser transmitters. This approach requires only an estimate of the spike area to be known. The result from the analytical estimation of error reduction is in agreement with the results from the NOAA lidar data processing and from computer simulation. {copyright} {ital 1996 Optical Society of America.}

  20. Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration

    SciTech Connect (OSTI)

    Rodney Frehlich

    2012-10-30

    New upstream measurements of wind profiles over the altitude range of wind turbines will be produced using a scanning Doppler lidar. These long range high quality measurements will provide improved wind power forecasts for wind energy integration into the power grid. The main goal of the project is to develop the optimal Doppler lidar operating parameters and data processing algorithms for improved wind energy integration by enhancing the wind power forecasts in the 30 to 60 minute time frame, especially for the large wind power ramps. Currently, there is very little upstream data at large wind farms, especially accurate wind profiles over the full height of the turbine blades. The potential of scanning Doppler lidar will be determined by rigorous computer modeling and evaluation of actual Doppler lidar data from the WindTracer system produced by Lockheed Martin Coherent Technologies, Inc. of Louisville, Colorado. Various data products will be investigated for input into numerical weather prediction models and statistically based nowcasting algorithms. Successful implementation of the proposed research will provide the required information for a full cost benefit analysis of the improved forecasts of wind power for energy integration as well as the added benefit of high quality wind and turbulence information for optimal control of the wind turbines at large wind farms.

  1. DOE/SC-ARM/TR-120 Raman Lidar Profiles-Temperature

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

    0 Raman Lidar Profiles-Temperature (RLPROFTEMP) Value-Added Product RK Newsom C Sivaraman SA McFarlane October 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents

  2. Investigating wind turbine impacts on near-wake flow using profiling Lidar data and large-eddy simulations with an actuator disk model

    SciTech Connect (OSTI)

    Mirocha, Jeffrey D.; Rajewski, Daniel A.; Marjanovic, Nikola; Lundquist, Julie K.; Kosovic, Branko; Draxl, Caroline; Churchfield, Matthew J.

    2015-08-27

    In this study, wind turbine impacts on the atmospheric flow are investigated using data from the Crop Wind Energy Experiment (CWEX-11) and large-eddy simulations (LESs) utilizing a generalized actuator disk (GAD) wind turbine model. CWEX-11 employed velocity-azimuth display (VAD) data from two Doppler lidar systems to sample vertical profiles of flow parameters across the rotor depth both upstream and in the wake of an operating 1.5 MW wind turbine. Lidar and surface observations obtained during four days of July 2011 are analyzed to characterize the turbine impacts on wind speed and flow variability, and to examine the sensitivity of these changes to atmospheric stability. Significant velocity deficits (VD) are observed at the downstream location during both convective and stable portions of four diurnal cycles, with large, sustained deficits occurring during stable conditions. Variances of the streamwise velocity component, σu, likewise show large increases downstream during both stable and unstable conditions, with stable conditions supporting sustained small increases of σu , while convective conditions featured both larger magnitudes and increased variability, due to the large coherent structures in the background flow. Two representative case studies, one stable and one convective, are simulated using LES with a GAD model at 6 m resolution to evaluate the compatibility of the simulation framework with validation using vertically profiling lidar data in the near wake region. Virtual lidars were employed to sample the simulated flow field in a manner consistent with the VAD technique. Simulations reasonably reproduced aggregated wake VD characteristics, albeit with smaller magnitudes than observed, while σu values in the wake are more significantly underestimated. The results illuminate the limitations of using a GAD in combination with coarse model resolution in the simulation of near wake physics, and validation thereof using VAD data.

  3. Investigating wind turbine impacts on near-wake flow using profiling Lidar data and large-eddy simulations with an actuator disk model

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

    Mirocha, Jeffrey D.; Rajewski, Daniel A.; Marjanovic, Nikola; Lundquist, Julie K.; Kosovic, Branko; Draxl, Caroline; Churchfield, Matthew J.

    2015-08-27

    In this study, wind turbine impacts on the atmospheric flow are investigated using data from the Crop Wind Energy Experiment (CWEX-11) and large-eddy simulations (LESs) utilizing a generalized actuator disk (GAD) wind turbine model. CWEX-11 employed velocity-azimuth display (VAD) data from two Doppler lidar systems to sample vertical profiles of flow parameters across the rotor depth both upstream and in the wake of an operating 1.5 MW wind turbine. Lidar and surface observations obtained during four days of July 2011 are analyzed to characterize the turbine impacts on wind speed and flow variability, and to examine the sensitivity of thesemore » changes to atmospheric stability. Significant velocity deficits (VD) are observed at the downstream location during both convective and stable portions of four diurnal cycles, with large, sustained deficits occurring during stable conditions. Variances of the streamwise velocity component, σu, likewise show large increases downstream during both stable and unstable conditions, with stable conditions supporting sustained small increases of σu , while convective conditions featured both larger magnitudes and increased variability, due to the large coherent structures in the background flow. Two representative case studies, one stable and one convective, are simulated using LES with a GAD model at 6 m resolution to evaluate the compatibility of the simulation framework with validation using vertically profiling lidar data in the near wake region. Virtual lidars were employed to sample the simulated flow field in a manner consistent with the VAD technique. Simulations reasonably reproduced aggregated wake VD characteristics, albeit with smaller magnitudes than observed, while σu values in the wake are more significantly underestimated. The results illuminate the limitations of using a GAD in combination with coarse model resolution in the simulation of near wake physics, and validation thereof using VAD data.« less

  4. Differential absorption lidar measurements of atmospheric temperature profiles - Theory and experiment

    SciTech Connect (OSTI)

    Theopold, F.A.; Boesenberg, J. )

    1993-04-01

    The method of measuring atmospheric temperature profiles with differential absorption lidar (DIAL), based on the temperature dependence of oxygen absorption lines in the near-IR, is investigated in detail. Particularly, the influence of Doppler broadening on the Rayleigh-backscattered signal is evaluated, and a correction method for this effect is presented which requires an accurate estimate of the molecular and particle backscatter contributions; this is noted not to be achievable by the usual lidar inversion techniques. Under realistic conditions, resulting errors may be as high as 10 K. First range-resolved measurements using this technique are presented, using a slightly modified DIAL system originally constructed for water vapor measurements. While much better resolution can certainly be achieved by technical improvements, the errors introduced by the uncertainty of the backscatter contributions will remain and determine the accuracy that can be obtained with this method. 35 refs.

  5. Raman lidar/AERI PBL Height Product

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

    Ferrare, Richard

    Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles derived from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of potential temperature. AERI measurements of downwelling radiance are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The Raman lidar and AERI potential temperature profiles are merged to create a single potential temperature profile for computing PBL heights. PBL heights were derived from these merged potential temperature profiles using a modified Heffter (1980) technique that was tailored to the SGP site (Della Monache et al., 2004). PBL heights were computed on an hourly basis for the period January 1, 2009 through December 31, 2011. These heights are provided as meters above ground level.

  6. Raman lidar/AERI PBL Height Product

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

    Ferrare, Richard

    2012-12-14

    Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles derived from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of potential temperature. AERI measurements of downwelling radiance are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The Raman lidar and AERI potential temperature profiles are merged to create a single potential temperature profile for computing PBL heights. PBL heights were derived from these merged potential temperature profiles using a modified Heffter (1980) technique that was tailored to the SGP site (Della Monache et al., 2004). PBL heights were computed on an hourly basis for the period January 1, 2009 through December 31, 2011. These heights are provided as meters above ground level.

  7. Lidar techniques for chemical and aerosol air pollution studies

    SciTech Connect (OSTI)

    Hardesty, R.M.

    1993-12-31

    At the Wave Propagation Laboratory (WPL), lidar methods are being applied in several areas of air pollution research. Differential absorption lidar (DIAL) systems for measuring ozone, ethylene, and other pollutants have been recently developed. The ozone instrument profiles ozone concentration in the boundary layer and lower troposphere to study sources, sinks, and transport of ozone. A goal is to combine DIAL and Doppler lidar techniques for measurement of the vertical fluxes of ozone and other pollutants. Doppler lidars have been also used at WPL to study visibility reduction caused by aerosol pollutants at the Grand Canyon, and to investigate dispersion of hazardous emissions near the Rocky Flats nuclear plant.

  8. Cloud Effects on Radiative Heating Rate Profiles over Darwin using ARM and A-train Radar/Lidar Observations

    SciTech Connect (OSTI)

    Thorsen, Tyler J.; Fu, Qiang; Comstock, Jennifer M.

    2013-06-11

    Observations of clouds from the ground-based U.S. Department of Energy Atmospheric Radiation Measurement program (ARM) and satellite-based A-train are used to compute cloud radiative forcing profiles over the ARM Darwin, Australia site. Cloud properties are obtained from both radar (the ARM Millimeter Cloud Radar (MMCR) and the CloudSat satellite in the A-train) and lidar (the ARM Micropulse lidar (MPL) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite in the A-train) observations. Cloud microphysical properties are taken from combined radar and lidar retrievals for ice clouds and radar only or lidar only retrievals for liquid clouds. Large, statistically significant differences of up to 1.43 K/day exist between the mean ARM and A-train net cloud radiative forcing profiles. The majority of the difference in cloud radiative forcing profiles is shown to be due to a large difference in the cloud fraction above 12 km. Above this altitude the A-train cloud fraction is significantly larger because more clouds are detected by CALIPSO than by the ground-based MPL. It is shown that the MPL is unable to observe as many high clouds as CALIPSO due to being more frequently attenuated and a poorer sensitivity even in otherwise clear-sky conditions. After accounting for cloud fraction differences and instrument sampling differences due to viewing platform we determined that differences in cloud radiative forcing due to the retrieved ice cloud properties is relatively small. This study demonstrates that A-train observations are better suited for the calculation cloud radiative forcing profiles. In addition, we find that it is necessary to supplement CloudSat with CALIPSO observations to obtain accurate cloud radiative forcing profiles since a large portion of clouds at Darwin are detected by CALIPSO only.

  9. Determination of vertical profiles of aerosol extinction, single...

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

    profiles of aerosol extinction, single scatter albedo and asymmetry parameter at Barrow. Sivaraman, Chitra Pacific Northwest National Laboratory Flynn, Connor Pacific...

  10. Proposed ground-based incoherent Doppler lidar with iodine filter discriminator for atmospheric wind profiling

    SciTech Connect (OSTI)

    Liu, Z.S.; Chen, W.B.; Hair, J.W.; She, C.Y.

    1996-12-31

    A new incoherent lidar for measuring atmospheric wind using iodine molecular filter is proposed. A unique feature of the proposed lidar lies in its capability for simultaneous measurement of aerosol mixing ratio, with which the radial wind can be determined uniquely from lidar return. A preliminary laboratory experiment using a dye laser at 589 nm and a rotating wheel has been performed demonstrating the feasibility of the proposed wind measurement.

  11. Low profile, high load vertical rolling positioning stage

    DOE Patents [OSTI]

    Shu, Deming; Barraza, Juan

    1996-01-01

    A stage or support platform assembly for use in a synchrotron accurately positions equipment to be used in the beam line of the synchrotron. The support platform assembly includes an outer housing in which is disposed a lifting mechanism having a lifting platform or stage at its upper extremity on which the equipment is mounted. A worm gear assembly is located in the housing and is adapted to raise and lower a lifting shaft that is fixed to the lifting platform by an anti-binding connection. The lifting platform is moved vertically as the lifting shaft is moved vertically. The anti-binding connection prevents the shaft from rotating with respect to the platform, but does permit slight canting of the shaft with respect to the lifting platform so as to eliminate binding and wear due to possible tolerance mismatches. In order to ensure that the lifting mechanism does not move in a horizontal direction as it is moved vertically, at least three linear roller bearing assemblies are arranged around the outer-periphery of the lifting mechanism. One of the linear roller bearing assemblies can be adjusted so that the roller bearings apply a loading force against the lifting mechanism. Alternatively, a cam mechanism can be used to provide such a loading force.

  12. DOE/SC-ARM/TR-100 Raman Lidar Profiles Best Estimate Value-Added Product Technical Report

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

    0 Raman Lidar Profiles Best Estimate Value-Added Product Technical Report R Newsom January 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  13. Active probing of cloud multiple scattering, optical depth, vertical thickness, and liquid water content using wide-angle imaging LIDAR.

    SciTech Connect (OSTI)

    Love, Steven P.; Davis, A. B.; Rohde, C. A.; Tellier, L. L.; Ho, Cheng,

    2002-01-01

    At most optical wavelengths, laser light in a cloud lidar experiment is not absorbed but merely scattered out of the beam, eventually escaping the cloud via multiple scattering. There is much information available in this light scattered far from the input beam, information ignored by traditional 'on-beam' lidar. Monitoring these off-beam returns in a fully space- and time-resolved manner is the essence of our unique instrument, Wide Angle Imaging Lidar (WAIL). In effect, WAIL produces wide-field (60-degree full-angle) 'movies' of the scattering process and records the cloud's radiative Green functions. A direct data product of WAIL is the distribution of photon path lengths resulting from multiple scattering in the cloud. Following insights from diffusion theory, we can use the measured Green functions to infer the physical thickness and optical depth of the cloud layer, and, from there, estimate the volume-averaged liquid water content. WAIL is notable in that it is applicable to optically thick clouds, a regime in which traditional lidar is reduced to ceilometry. Here we present recent WAIL data oti various clouds and discuss the extension of WAIL to full diurnal monitoring by means of an ultra-narrow magneto-optic atomic line filter for daytime measurements.

  14. ARM - Field Campaign - M-PACE HSR Lidar

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

    HSR Lidar Campaign Links Full Proposal Abstract M-PACE Website ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : M-PACE HSR Lidar 2004.09.27 - 2004.10.21 Lead Scientist : Edwin Eloranta For data sets, see below. Abstract The HSRL provided calibrated vertical profiles of optical depth, backscatter cross section and depoloarization at a wavelength of 532 nm. Profiles were acquired at 2.5 second intervals with

  15. Aerosol backscatter measurements at 10. 6 micrometers with airborne and ground-based CO sub 2 Doppler lidars over the Colorado high plains. 1. Lidar intercomparison

    SciTech Connect (OSTI)

    Bowdle, D.A. ); Rothermel, J. ); Vaughan, J.M.; Brown, D.W. ); Post, M.J. )

    1991-03-20

    An airborne continuous wave (CW) focused CO{sub 2} Doppler lidar and a ground-based pulsed CO{sub 2} Doppler lidar were used to obtain seven pairs of comparative measurements of tropospheric aerosol backscatter profiles at 10.6 {mu}m wavelength, near Denver, Colorado, during a 20-day period in July 1982. In regions of uniform backscatter the two lidars show good agreement, with differences usually less than {approximately}50% near 8-km altitude and less than a factor of 2 or 3 elsewhere but with the pulsed lidar often lower than the CW lidar. Near sharp backscatter gradients the two lidars show poorer agreement, with the pulsed lidar usually higher than the CW lidar. Most discrepancies arise from a combination of atmospheric factors and instrument factors, particularly small-scale areal and temporal backscatter heterogeneity above the planetary boundary layer, unusual large-scale vertical backscatter structure in the upper troposphere and lower stratosphere, and differences in the spatial resolution, detection threshold, and noise estimation for the two lidars.

  16. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Vertical Air Motion (williams-vertair)

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

    Williams, Christopher; Jensen, Mike

    2012-11-06

    This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

  17. Lidar Report

    SciTech Connect (OSTI)

    Wollpert.

    2009-04-01

    This report provides an overview of the LiDAR acquisition methodology employed by Woolpert on the 2009 USDA - Savannah River LiDAR Site Project. LiDAR system parameters and flight and equipment information is also included. The LiDAR data acquisition was executed in ten sessions from February 21 through final reflights on March 2, 2009; using two Leica ALS50-II 150kHz Multi-pulse enabled LiDAR Systems. Specific details about the ALS50-II systems are included in Section 4 of this report.

  18. Two-frequency lidar technique for mesospheric Na temperature measurements

    SciTech Connect (OSTI)

    She, C.Y.; Latifi, H.; Yu, J.R.; Alvarez, R.J. II ); Bills, R.E.; Gardner, C.S. )

    1990-06-01

    The authors describe a new two-frequency lidar for measuring Na temperature profiles that uses a stabilized cw single-mode dye laser oscillator (rms frequency jitter < 1 MHz) followed by a pulsed-dye power amplifier (140 MHz FWHM linewidth) which is pumped by an injection-locked Nd:YAG laser. The laser oscillator is tuned to the two operating frequencies by observing the Doppler-free structure of the Na D{sub 2} fluorescence spectrum in a vapor cells. The lidar technique and the initial observations of the temperature profile between 82 and 102 km at Ft. Collins, CO (40.6{degree}N,105{degree}W) are described. Absolute temperature accuracies at the Na layer peak of better than {plus minus}3 K with a vertical resolution of 1 km and an integration period of approximately 5 min were achieved.

  19. Temporal variability of the trade wind inversion: Measured with a boundary layer vertical profiler. Master's thesis

    SciTech Connect (OSTI)

    Grindinger, C.M.

    1992-05-01

    This study uses Hawaiian Rainband Project (HaRP) data, from the summer of 1991, to show a boundary layer wind profiler can be used to measure the trade wind inversion. An algorithm has been developed for the profiler that objectively measures the depth of the moist oceanic boundary layer. The Hilo inversion, measured by radiosonde, is highly correlated with the moist oceanic boundary layer measured by the profiler at Paradise Park. The inversion height on windward Hawaii is typically 2253 + or - 514 m. The inversion height varies not only on a daily basis, but on less than an hourly basis. It has a diurnal, as well as a three to four day cycle. There appears to be no consistent relationship between inversion height and precipitation. Currently, this profiler is capable of making high frequency (12 minute) measurements of the inversion base variation, as well as other features.

  20. ARM - Evaluation Product - MicroPulse LIDAR Cloud Optical Depth...

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

    from the MPLNOR (Micro Pulse Lidar Normalized Backscatter) and radiosonde thermodynamic profiles. The optical depth retrieval is derived following Comstock et al. (2001),...

  1. ARM - Measurement - Lidar polarization

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

    : Lidar polarization The temporal and geometric behavior of the electric field vector of an electromagnetic wave transmitted or received by a lidar system, e.g. elliptical...

  2. Quantifying the Effect of Lidar Turbulence Error on Wind Power Prediction

    SciTech Connect (OSTI)

    Newman, Jennifer F.; Clifton, Andrew

    2016-01-01

    Currently, cup anemometers on meteorological towers are used to measure wind speeds and turbulence intensity to make decisions about wind turbine class and site suitability; however, as modern turbine hub heights increase and wind energy expands to complex and remote sites, it becomes more difficult and costly to install meteorological towers at potential sites. As a result, remote-sensing devices (e.g., lidars) are now commonly used by wind farm managers and researchers to estimate the flow field at heights spanned by a turbine. Although lidars can accurately estimate mean wind speeds and wind directions, there is still a large amount of uncertainty surrounding the measurement of turbulence using these devices. Errors in lidar turbulence estimates are caused by a variety of factors, including instrument noise, volume averaging, and variance contamination, in which the magnitude of these factors is highly dependent on measurement height and atmospheric stability. As turbulence has a large impact on wind power production, errors in turbulence measurements will translate into errors in wind power prediction. The impact of using lidars rather than cup anemometers for wind power prediction must be understood if lidars are to be considered a viable alternative to cup anemometers.In this poster, the sensitivity of power prediction error to typical lidar turbulence measurement errors is assessed. Turbulence estimates from a vertically profiling WINDCUBE v2 lidar are compared to high-resolution sonic anemometer measurements at field sites in Oklahoma and Colorado to determine the degree of lidar turbulence error that can be expected under different atmospheric conditions. These errors are then incorporated into a power prediction model to estimate the sensitivity of power prediction error to turbulence measurement error. Power prediction models, including the standard binning method and a random forest method, were developed using data from the aeroelastic simulator FAST for a 1.5 MW turbine. The impact of lidar turbulence error on the predicted power from these different models is examined to determine the degree of turbulence measurement accuracy needed for accurate power prediction.

  3. Application of lidar to current atmospheric topics

    SciTech Connect (OSTI)

    Sedlacek, A.J. III

    1996-12-31

    The goal of the conference was to address the various applications of lidar to topics of interest in the atmospheric community. Specifically, with the development of frequency-agile, all solid state laser systems, high-quantum-efficiency detectors, increased computational power along with new and more powerful algorithms, and novel detection schemes, the application of lidar to both old and new problems has expanded. This expansion is evidenced by the contributions to the proceedings, which demonstrate the progress made on a variety of atmospheric remote sensing problems, both theoretically and experimentally. The first session focused on aerosol, ozone, and temperature profile measurements from ground-based units. The second session, Chemical Detection, provided applications of lidar to the detection of atmospheric pollutants. Papers in the third session, Wind and Turbulence Measurements, described the Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) experiments, Doppler techniques for ground-based wind profiling and mesopause radial wind and temperature measurements utilizing a frequency-agile lidar system. The papers in the last two sessions, Recent Advanced in Lidar Technology and Techniques and Advanced Operational Lidars, provided insights into novel approaches, materials, and techniques that would be of value to the lidar community. Papers have been processed separately for inclusion on the data base.

  4. Raman Lidar (RL) Handbook

    SciTech Connect (OSTI)

    Newsom, RK

    2009-03-01

    The Raman lidar at the ARM Climate Research Facility (ACRF) Southern Great Plains (SGP) Central Facility (SGPRL) is an active, ground-based laser remote sensing instrument that measures height and time resolved profiles of water vapor mixing ratio and several cloud- and aerosol-related quantities. The system is a non-commercial custom-built instrument developed by Sandia National Laboratories specifically for the ARM Program. It is fully computer automated, and will run unattended for many days following a brief (~5-minute) startup period. The self-contained system (requiring only external electrical power) is housed in a climate-controlled 8’x8’x20’ standard shipping container.

  5. Wind Measurements from Arc Scans with Doppler Wind Lidar

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

    Wang, H.; Barthelmie, R. J.; Clifton, Andy; Pryor, S. C.

    2015-11-25

    When defining optimal scanning geometries for scanning lidars for wind energy applications, we found that it is still an active field of research. Our paper evaluates uncertainties associated with arc scan geometries and presents recommendations regarding optimal configurations in the atmospheric boundary layer. The analysis is based on arc scan data from a Doppler wind lidar with one elevation angle and seven azimuth angles spanning 30° and focuses on an estimation of 10-min mean wind speed and direction. When flow is horizontally uniform, this approach can provide accurate wind measurements required for wind resource assessments in part because of itsmore » high resampling rate. Retrieved wind velocities at a single range gate exhibit good correlation to data from a sonic anemometer on a nearby meteorological tower, and vertical profiles of horizontal wind speed, though derived from range gates located on a conical surface, match those measured by mast-mounted cup anemometers. Uncertainties in the retrieved wind velocity are related to high turbulent wind fluctuation and an inhomogeneous horizontal wind field. Moreover, the radial velocity variance is found to be a robust measure of the uncertainty of the retrieved wind speed because of its relationship to turbulence properties. It is further shown that the standard error of wind speed estimates can be minimized by increasing the azimuthal range beyond 30° and using five to seven azimuth angles.« less

  6. Wind Measurements from Arc Scans with Doppler Wind Lidar

    SciTech Connect (OSTI)

    Wang, H.; Barthelmie, R. J.; Clifton, Andy; Pryor, S. C.

    2015-11-25

    When defining optimal scanning geometries for scanning lidars for wind energy applications, we found that it is still an active field of research. Our paper evaluates uncertainties associated with arc scan geometries and presents recommendations regarding optimal configurations in the atmospheric boundary layer. The analysis is based on arc scan data from a Doppler wind lidar with one elevation angle and seven azimuth angles spanning 30° and focuses on an estimation of 10-min mean wind speed and direction. When flow is horizontally uniform, this approach can provide accurate wind measurements required for wind resource assessments in part because of its high resampling rate. Retrieved wind velocities at a single range gate exhibit good correlation to data from a sonic anemometer on a nearby meteorological tower, and vertical profiles of horizontal wind speed, though derived from range gates located on a conical surface, match those measured by mast-mounted cup anemometers. Uncertainties in the retrieved wind velocity are related to high turbulent wind fluctuation and an inhomogeneous horizontal wind field. Moreover, the radial velocity variance is found to be a robust measure of the uncertainty of the retrieved wind speed because of its relationship to turbulence properties. It is further shown that the standard error of wind speed estimates can be minimized by increasing the azimuthal range beyond 30° and using five to seven azimuth angles.

  7. Doppler lidar for measurement of atmospheric wind fields

    SciTech Connect (OSTI)

    Menzies, R.T. )

    1991-01-01

    Measurements of wind fields in the earth's troposphere with daily global coverage is widely considered as a significant advance for forecasting and transport studies. For optimal use by NWP (Numerical Weather Prediction) models the horizontal and vertical resolutions should be approximately 100 km and 1 km, respectively. For boundary layer studies vertical resolution of a few hundred meters seems essential. Earth-orbiting Doppler lidar has a unique capability to measure global winds in the troposphere with the high vertical resolution required. The lidar approach depends on transmission of pulses with high spectral purity and backscattering from the atmospheric aerosol particles or layered clouds to provide a return signal. Recent field measurement campaigns using NASA research aircraft have resulted in collection of aerosol and cloud data which can be used to optimize the Doppler lidar instrument design and measurement strategy. 5 refs.

  8. ARM - Campaign Instrument - lidar-dial

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

    govInstrumentslidar-dial Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Dial Lidar (LIDAR-DIAL) Instrument Categories Aerosols, Atmospheric Profiling Campaigns ARM-FIRE Water Vapor Experiment [ Download Data ] Southern Great Plains, 2000.11.01 - 2000.12.31 Water Vapor IOP [ Download Data ] Southern Great Plains, 2000.09.18 - 2000.10.08 Primary Measurements Taken The following measurements are those considered scientifically

  9. Characterizing Aerosol Distributions and Optical Properties Using the NASA Langley High Spectral Resolution Lidar

    SciTech Connect (OSTI)

    Hostetler, Chris; Ferrare, Richard

    2013-02-14

    The objective of this project was to provide vertically and horizontally resolved data on aerosol optical properties to assess and ultimately improve how models represent these aerosol properties and their impacts on atmospheric radiation. The approach was to deploy the NASA Langley Airborne High Spectral Resolution Lidar (HSRL) and other synergistic remote sensors on DOE Atmospheric Science Research (ASR) sponsored airborne field campaigns and synergistic field campaigns sponsored by other agencies to remotely measure aerosol backscattering, extinction, and optical thickness profiles. Synergistic sensors included a nadir-viewing digital camera for context imagery, and, later in the project, the NASA Goddard Institute for Space Studies (GISS) Research Scanning Polarimeter (RSP). The information from the remote sensing instruments was used to map the horizontal and vertical distribution of aerosol properties and type. The retrieved lidar parameters include profiles of aerosol extinction, backscatter, depolarization, and optical depth. Products produced in subsequent analyses included aerosol mixed layer height, aerosol type, and the partition of aerosol optical depth by type. The lidar products provided vertical context for in situ and remote sensing measurements from other airborne and ground-based platforms employed in the field campaigns and was used to assess the predictions of transport models. Also, the measurements provide a data base for future evaluation of techniques to combine active (lidar) and passive (polarimeter) measurements in advanced retrieval schemes to remotely characterize aerosol microphysical properties. The project was initiated as a 3-year project starting 1 January 2005. It was later awarded continuation funding for another 3 years (i.e., through 31 December 2010) followed by a 1-year no-cost extension (through 31 December 2011). This project supported logistical and flight costs of the NASA sensors on a dedicated aircraft, the subsequent analysis and archival of the data, and the presentation of results in conferences, workshops, and publications. DOE ASR field campaigns supported under this project included - MAX-Mex /MILAGRO (2006) - TexAQS 2006/GoMACCS (2006) - CHAPS (2007) - RACORO (2009) - CARE/CalNex (2010) In addition, data acquired on HSRL airborne field campaigns sponsored by other agencies were used extensively to fulfill the science objectives of this project and the data acquired have been made available to other DOE ASR investigators upon request.

  10. Evaluation of three lidar scanning strategies for turbulence measurements

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

    Newman, J. F.; Klein, P. M.; Wharton, S.; Sathe, A.; Bonin, T. A.; Chilson, P. B.; Muschinski, A.

    2015-11-24

    Several errors occur when a traditional Doppler-beam swinging (DBS) or velocityazimuth display (VAD) strategy is used to measure turbulence with a lidar. To mitigate some of these errors, a scanning strategy was recently developed which employs six beam positions to independently estimate the u, v, and w velocity variances and covariances. In order to assess the ability of these different scanning techniques to measure turbulence, a Halo scanning lidar, WindCube v2 pulsed lidar and ZephIR continuous wave lidar were deployed at field sites in Oklahoma and Colorado with collocated sonic anemometers. Results indicate that the six-beam strategy mitigates somemoreof the errors caused by VAD and DBS scans, but the strategy is strongly affected by errors in the variance measured at the different beam positions. The ZephIR and WindCube lidars overestimated horizontal variance values by over 60 % under unstable conditions as a result of variance contamination, where additional variance components contaminate the true value of the variance. A correction method was developed for the WindCube lidar that uses variance calculated from the vertical beam position to reduce variance contamination in the u and v variance components. The correction method reduced WindCube variance estimates by over 20 % at both the Oklahoma and Colorado sites under unstable conditions, when variance contamination is largest. This correction method can be easily applied to other lidars that contain a vertical beam position and is a promising method for accurately estimating turbulence with commercially available lidars.less

  11. Vertical Velocity Focus Group

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

    Velocity Focus Group ARM 2008 Science Team Meeting Norfolk, VA March 10-14 Background Vertical velocity measurements have been at the top of the priority list of the cloud modeling community for some time. Doppler measurements from ARM profiling radars operating at 915-MHz, 35-GHz and 94-GHz have been largely unexploited. The purpose of this new focus group is to develop vertical velocity ARM products suitable for modelers. ARM response to their request has been slow. Most ARM instruments are

  12. Profiling

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

    Projects Profiles in Renewable Energy: Case Studies of Successful Utility-Sector Projects The Shape of Renewable Energy Technologies Today Biomass Wood-Burning Plant Reduces Air Pollution Kettle Falls Wood-Fired Plant Washington Power Company Regulatory Changes Spur Wood-Fired Plant Grayling Generating Station Decker Energy International, Inc. Community Partnership Leads to Waste-Burning Plant Bristol Waste-to-Energy Plant Ogden Martin Systems Geothermal Geothermal Loan Encourages New Power

  13. Seasonal and optical characterisation of cirrus clouds over Indian sub-continent using LIDAR

    SciTech Connect (OSTI)

    Jayeshlal, G. S. Satyanarayana, Malladi Dhaman, Reji K. Motty, G. S.

    2014-10-15

    Light Detection and Ranging (LIDAR) is an important remote sensing technique to study about the cirrus clouds. The subject of cirrus clouds and related climate is challenging one. The received scattered signal from Lidar contains information on the physical and optical properties of cirrus clouds. The Lidar profile of the cirrus cloud provides information on the optical characteristics like depolarisation ratio, lidar ratio and optical depth, which give knowledge about possible phase, structure and orientation of cloud particle that affect the radiative budgeting of cirrus clouds. The findings from the study are subjected to generate inputs for better climatic modelling.

  14. Coplanar Doppler Lidar Retrieval of Rotors from T-REX

    SciTech Connect (OSTI)

    Hill, Michael; Calhoun, Ron; Fernando, H. J. S.; Wieser, Andreas; Dornbrack, Andreas; Weissmann, Martin; Mayr, G.; Newsom, Rob K.

    2010-03-01

    Two coherent Doppler lidars were deployed during the Terrain-induced Rotor EXperiment (T-REX). Coplanar Range Height Indicator (RHI) scans by the lidars (along the same azimuthal angle) allowed retrieval of two-dimensional velocity vectors on a vertical/cross-barrier plane using the least squares method. Vortices are shown to evolve and advect in the flow field, allowing analysis of their behavior in the mountain-wave-boundary layer system. The locations, magnitudes, and evolution of the vortices can be studied through calculated fields of velocity, vorticity, streamlines, and swirl. Two classes of vortical motions are identified: rotors and sub-rotors, which differ in scale and behavior. The level of coordination of the two lidars and the nature of the output (i.e., in range-gates) creates inherent restrictions on the spatial and temporal resolution of retrieved fields.

  15. "Lidar Investigations of Aerosol, Cloud, and Boundary Layer Properties

    Office of Scientific and Technical Information (OSTI)

    Over the ARM ACRF Sites" (Technical Report) | SciTech Connect Technical Report: "Lidar Investigations of Aerosol, Cloud, and Boundary Layer Properties Over the ARM ACRF Sites" Citation Details In-Document Search Title: "Lidar Investigations of Aerosol, Cloud, and Boundary Layer Properties Over the ARM ACRF Sites" Project goals; Characterize the aerosol and ice vertical distributions over the ARM NSA site, and in particular to discriminate between elevated aerosol

  16. Raman Lidar Profiles–Temperature (RLPROFTEMP) Value-Added Product

    SciTech Connect (OSTI)

    Newsom, RK; Sivaraman, C; McFarlane, SA

    2012-10-31

    The purpose of this document is to describe the Raman Lidar Profiles–Temperature (RLPROFTEMP) value-added product (VAP) and the procedures used to derive atmospheric temperature profiles from the raw RL measurements. Sections 2 and 4 describe the input and output variables, respectively. Section 3 discusses the theory behind the measurement and the details of the algorithm, including calibration and overlap correction.

  17. SpinnerLidar

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

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

  18. A Doppler lidar for measuring winds in the middle atmosphere

    SciTech Connect (OSTI)

    Chanin, M.L.; Garnier, A.; Hauchecorne, A.; Porteneuve, J. )

    1989-11-01

    The possibility of measuring winds in the middle atmosphere with a Doppler lidar has just been demonstrated. It is aimed at studying the wave-mean flow interaction, when used is association with the Rayleigh lidar providing density and temperature profiles and their fluctuations. The new Doppler lidar relies on the Rayleigh scattering from air molecules is designed to cover the height range 25-60 km, a region where radars cannot operate. The Doppler shift to the backscattered echo is measured by inter-comparing the signal detected through each of the two high-resolution, narrow band-pass Fabry-Perot interferometers tuned on either side of the emitted laser line.

  19. ARM - Measurement - Vertical velocity

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

    assurance purposes. ARM Instruments CO2FLX : Carbon Dioxide Flux Measurement Systems DL : Doppler Lidar ECOR : Eddy Correlation Flux Measurement System KAZR : Ka ARM Zenith Radar...

  20. Horizontal-Velocity and Variance Measurements in the Stable Boundary Layer Using Doppler Lidar: Sensitivity to Averaging Procedures

    SciTech Connect (OSTI)

    Pichugina, Yelena L.; Banta, Robert M.; Kelley, Neil D.; Jonkman, Bonnie J.; Tucker, Sara C.; Newsom, Rob K.; Brewer, W. A.

    2008-08-01

    Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--has been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAAs High Resolution Doppler Lidar (HRDL), which have been shown to be numerically equivalent to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance ?u2 were computed from HRDL measurements of the line-of-sight (LOS) velocity using a technique described in Banta, et al. (2002). The technique was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. It then describes several series of averaging tests that produced the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal velocity variance ?u2. The results show high correlation (0.71-0.97) of the mean U and average wind speed measured by sodar and in-situ instruments, independent of sampling strategies and averaging procedures. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging techniques.

  1. Lidar Investigations of Aerosol, Cloud, and Boundary Layer Properties Over the ARM ACRF Sites”

    SciTech Connect (OSTI)

    Ferrare, Richard; Turner, David

    2015-01-13

    Project goals; Characterize the aerosol and ice vertical distributions over the ARM NSA site, and in particular to discriminate between elevated aerosol layers and ice clouds in optically thin scattering layers; Characterize the water vapor and aerosol vertical distributions over the ARM Darwin site, how these distributions vary seasonally, and quantify the amount of water vapor and aerosol that is above the boundary layer; Use the high temporal resolution Raman lidar data to examine how aerosol properties vary near clouds; Use the high temporal resolution Raman lidar and Atmospheric Emitted Radiance Interferometer (AERI) data to quantify entrainment in optically thin continental cumulus clouds; and Use the high temporal Raman lidar data to continue to characterize the turbulence within the convective boundary layer and how the turbulence statistics (e.g., variance, skewness) is correlated with larger scale variables predicted by models.

  2. Doppler Lidar (DL) Handbook

    SciTech Connect (OSTI)

    Newsom, RK

    2012-02-13

    The Doppler lidar (DL) is an active remote sensing instrument that provides range- and time-resolved measurements of radial velocity and attenuated backscatter. The principle of operation is similar to radar in that pulses of energy are transmitted into the atmosphere; the energy scattered back to the transceiver is collected and measured as a time-resolved signal. From the time delay between each outgoing transmitted pulse and the backscattered signal, the distance to the scatterer is inferred. The radial or line-of-sight velocity of the scatterers is determined from the Doppler frequency shift of the backscattered radiation. The DL uses a heterodyne detection technique in which the return signal is mixed with a reference laser beam (i.e., local oscillator) of known frequency. An onboard signal processing computer then determines the Doppler frequency shift from the spectra of the heterodyne signal. The energy content of the Doppler spectra can also be used to determine attenuated backscatter.

  3. ARM - Campaign Instrument - co2lidar

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

    us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Carbon Dioxide Doppler Lidar (CO2LIDAR) Instrument Categories Cloud Properties Campaigns Remote Cloud...

  4. Sandia Energy - ARM Raman Lidar Development

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

    Raman lidar was delivered in the fall of 1995. The automated nature of the Raman lidar Raman scattering boxr1 provided multiple-day views of water vapor mixing ratio and...

  5. Doppler Lidar Wind Value-Added Product

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

    8 Doppler Lidar Wind Value-Added Product RK Newsom C Sivaraman TR Shippert LD Riihimaki ... DOESC-ARMTR-148 Doppler Lidar Wind Value-Added Product Version 1.0 RK Newsom C Sivaraman ...

  6. 2 micron LIDAR for laser-based remote sensing: Flight demonstration and application survey

    SciTech Connect (OSTI)

    Wagener, T.J.; Demma, N.; Kmetec, J.D.; Kubo, T.S.

    1995-02-01

    A flight test of a diode-pumped solid-state 2 micron Doppler Light Detection And Ranging (LIDAR) system was conducted on-board the NASA Ames DC-8 Airborne Laboratory. This was the first ever airborne demonstration of a 2 micron diode-pumped solid-state Doppler LIDAR. The LIDAR performance was verified by comparing the true-airspeed (TAS) estimate with that found using the pneumatic air data system; excellent agreement was found. The capabilities of this pulsed 2 micron Doppler LIDAR system include high bandwidth air data determination without the need for extensive forebody calibration, remote wind profiling as far as several kilometers away from the aircraft, eye-safe laser transmission at 2 micron, and diode-pumped solid-state design for compact construction and reliable performance. 7 refs.

  7. The lidar dark band: An oddity of the radar bright band analogy

    SciTech Connect (OSTI)

    Sassen, K.

    1996-04-01

    Although much has sbeen learned from independent radar and lidar studies of atmospheric precipitations, occasionally supported by aircraft profiling, what has been lacking is combined optical, microwave, and insitu observations of the melting layer. Fortunately, the rainshowers on April 21, 1994, during the Remote Cloud Sensing intensive obervations Period (RCSIOP) at the Southern Great Plains Cloud and radiation Testbed (CART) site provided an opportunity for coordinated dual-wavelength University of Utah Polarization Diversity Lidar, University of Massachusetts Cloud Profiling Radar System Doppler Radar, and the University of North Dakota Citation aircraft measurements.

  8. Cirrus cloud-temperature interactions over a tropical station, Gadanki from lidar and satellite observations

    SciTech Connect (OSTI)

    S, Motty G Satyanarayana, M. Krishnakumar, V. Dhaman, Reji k.

    2014-10-15

    The cirrus clouds play an important role in the radiation budget of the earth's atmospheric system and are important to characterize their vertical structure and optical properties. LIDAR measurements are obtained from the tropical station Gadanki (13.5{sup 0} N, 79.2{sup 0} E), India, and meteorological indicators derived from Radiosonde data. Most of the cirrus clouds are observed near to the tropopause, which substantiates the strength of the tropical convective processes. The height and temperature dependencies of cloud height, optical depth, and depolarization ratio were investigated. Cirrus observations made using CALIPSO satellite are compared with lidar data for systematic statistical study of cirrus climatology.

  9. Instrument Development Tethered Balloon Sounding System for Vertical...

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

    Tethered Balloon Sounding System for Vertical Radiation Profiles C. D. Whiteman J. M. Alzheimer G. A. Anderson M. R. Garnich W. J. Shaw Pacific Northwest Laboratory Richland, WA...

  10. Analysis of Doppler Lidar Data Acquired During the Pentagon Shield Field Campaign

    SciTech Connect (OSTI)

    Newsom, Rob K.

    2011-04-14

    Observations from two coherent Doppler lidars deployed during the Pentagon Shield field campaign are analyzed in conjunction with other sensors to characterize the overall boundary-layer structure, and identify the dominant flow characteristics during the entire two-week field campaign. Convective boundary layer (CBL) heights and cloud base heights (CBH) are estimated from an analysis of the lidar signal-to-noise-ratio (SNR), and mean wind profiles are computed using a modified velocity-azimuth-display (VAD) algorithm. Three-dimensional wind field retrievals are computed from coordinated overlapping volume scans, and the results are analyzed by visualizing the flow in horizontal and vertical cross sections. The VAD winds show that southerly flows dominate during the two-week field campaign. Low-level jets (LLJ) were evident on all but two of the nights during the field campaign. The LLJs tended to form a couple hours after sunset and reach maximum strength between 03 and 07 UTC. The surface friction velocities show distinct local maxima during four nights when strong LLJs formed. Estimates of the convective boundary layer height and residual layer height are obtained through an analysis of the vertical gradient of the lidar signal-to-noise-ratio (SNR). Strong minimum in the SNR gradient often develops just above the surface after sunrise. This minimum is associated with the developing CBL, and increases rapidly during the early portion of the daytime period. On several days, this minimum continues to increase until about sunset. Secondary minima in the SNR gradient were also observed at higher altitudes, and are believed to be remnants of the CBL height from previous days, i.e. the residual layer height. The dual-Doppler analysis technique used in this study makes use of hourly averaged radial velocity data to produce three-dimensional grids of the horizontal velocity components, and the horizontal velocity variance. Visualization of horizontal and vertical cross sections of the dual-Doppler wind retrievals often indicated a jet-like flow feature over the Potomac River under southerly flow conditions. This linear flow feature is roughly aligned with the Potomac River corridor to the south of the confluence with the Anatostia River, and is most apparent at low levels (i.e. below ~150 m MSL). It is believed that this flow arises due to reduced drag over the water surface and when the large scale flow aligns with the Potomac River corridor. A so-called area-constrained VAD analysis generally confirmed the observations from the dual-Doppler analysis. When the large scale flow is southerly, wind speeds over the Potomac River are consistently larger than the at a site just to the west of the river for altitudes less than 100 m MSL. Above this level, the trend is somewhat less obvious. The data suggest that the depth of the wind speed maximum may be reduced by strong directional shear aloft.

  11. Vertical Seismic Profiling | Open Energy Information

    Open Energy Info (EERE)

    Borehole Seismic Techniques Information Provided by Technique Lithology: Rock unit density influences elastic wave velocities. StratigraphicStructural: Structural geology-...

  12. Macrophysical and optical properties of midlatitude cirrus clouds from four ground-based lidars and collocated CALIOP observations

    SciTech Connect (OSTI)

    Dupont, Jean-Charles; Haeffelin, M.; Morille, Y.; Noel, V.; Keckhut, P.; Winker, D.; Comstock, Jennifer M.; Chervet, P.; Roblin, A.

    2010-05-27

    Ground-based lidar and CALIOP datasets gathered over four mid-latitude sites, two US and two French sites, are used to evaluate the consistency of cloud macrophysical and optical property climatologies that can be derived by such datasets. The consistency in average cloud height (both base and top height) between the CALIOP and ground datasets ranges from -0.4km to +0.5km. The cloud geometrical thickness distributions vary significantly between the different datasets, due in part to the original vertical resolutions of the lidar profiles. Average cloud geometrical thicknesses vary from 1.2 to 1.9km, i.e. by more than 50%. Cloud optical thickness distributions in subvisible, semi-transparent and moderate intervals differ by more than 50% between ground and space-based datasets. The cirrus clouds with 2 optical thickness below 0.1 (not included in historical cloud climatologies) represent 30-50% of the non-opaque cirrus class. The differences in average cloud base altitude between ground and CALIOP datasets of 0.0-0.1 km, 0.0-0.2 km and 0.0-0.2 km can be attributed to irregular sampling of seasonal variations in the ground-based data, to day-night differences in detection capabilities by CALIOP, and to the restriction to situations without low-level clouds in ground-based data, respectively. The cloud geometrical thicknesses are not affected by irregular sampling of seasonal variations in the ground-based data, while up to 0.0-0.2 km and 0.1-0.3 km differences can be attributed to day-night differences in detection capabilities by CALIOP, and to the restriction to situations without lowlevel clouds in ground-based data, respectively.

  13. Sandia Energy - ARM Raman Lidar Applications

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

    in the analysis deriving water vapor flux observations using coincident Raman and Doppler lidar measurements and characterizing entrainment in cumulus clouds using Raman...

  14. Raman lidar and MPL Measurements during ALIVE

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

    Raman lidar and MPL Measurements during ALIVE Ferrare, Richard NASA Langley Research ... National Laboratory Clayton, Marian NASA Langley Research Center Schmid, Beat Bay ...

  15. Application of coherent 10 micron imaging lidar

    SciTech Connect (OSTI)

    Simpson, M.L.; Hutchinson, D.P.; Richards, R.K.; Bennett, C.A.

    1997-04-01

    With the continuing progress in mid-IR array detector technology and high bandwidth fan-outs, i.f. electronics, high speed digitizers, and processing capability, true coherent imaging lidar is becoming a reality. In this paper experimental results are described using a 10 micron coherent imaging lidar.

  16. Automated retrieval of cloud and aerosol properties from the ARM Raman lidar, part 1: feature detection

    SciTech Connect (OSTI)

    Thorsen, Tyler J.; Fu, Qiang; Newsom, Rob K.; Turner, David D.; Comstock, Jennifer M.

    2015-11-01

    A Feature detection and EXtinction retrieval (FEX) algorithm for the Atmospheric Radiation Measurement (ARM) program’s Raman lidar (RL) has been developed. Presented here is part 1 of the FEX algorithm: the detection of features including both clouds and aerosols. The approach of FEX is to use multiple quantities— scattering ratios derived using elastic and nitro-gen channel signals from two fields of view, the scattering ratio derived using only the elastic channel, and the total volume depolarization ratio— to identify features using range-dependent detection thresholds. FEX is designed to be context-sensitive with thresholds determined for each profile by calculating the expected clear-sky signal and noise. The use of multiple quantities pro-vides complementary depictions of cloud and aerosol locations and allows for consistency checks to improve the accuracy of the feature mask. The depolarization ratio is shown to be particularly effective at detecting optically-thin features containing non-spherical particles such as cirrus clouds. Improve-ments over the existing ARM RL cloud mask are shown. The performance of FEX is validated against a collocated micropulse lidar and observations from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite over the ARM Darwin, Australia site. While we focus on a specific lidar system, the FEX framework presented here is suitable for other Raman or high spectral resolution lidars.

  17. Vertical axis wind turbines

    DOE Patents [OSTI]

    Krivcov, Vladimir; Krivospitski, Vladimir; Maksimov, Vasili; Halstead, Richard; Grahov, Jurij

    2011-03-08

    A vertical axis wind turbine is described. The wind turbine can include a top ring, a middle ring and a lower ring, wherein a plurality of vertical airfoils are disposed between the rings. For example, three vertical airfoils can be attached between the upper ring and the middle ring. In addition, three more vertical airfoils can be attached between the lower ring and the middle ring. When wind contacts the vertically arranged airfoils the rings begin to spin. By connecting the rings to a center pole which spins an alternator, electricity can be generated from wind.

  18. Horizontal Velocity and Variance Measurements in the Stable Boundary Layer Using Doppler Lidar: Sensitivity to Averaging Procedures

    SciTech Connect (OSTI)

    Pichugina, Y. L.; Banta, R. M.; Kelley, N. D.; Jonkman, B. J.; Tucker, S. C.; Newsom, R. K.; Brewer, W. A.

    2008-08-01

    Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--have been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAA's high-resolution Doppler lidar (HRDL), which have been shown to be approximately equal to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance {sigma}2u were computed from HRDL measurements of the line-of-sight (LOS) velocity using a method described by Banta et al., which uses an elevation (vertical slice) scanning technique. The method was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. The results for the mean U and mean wind speed measured by sodar and in situ instruments for all nights of LLLJP show high correlation (0.71-0.97), independent of sampling strategies and averaging procedures, and correlation coefficients consistently >0.9 for four high-wind nights, when the low-level jet speeds exceeded 15 m s{sup -1} at some time during the night. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging parameters. Several series of averaging tests are described, to find the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal-velocity variance {sigma}{sup 2}{sub u}. Because of the nonstationarity of the SBL data, the best results were obtained when the velocity data were first averaged over intervals of 1 min, and then further averaged over 3-15 consecutive 1-min intervals, with best results for the 10- and 15-min averaging periods. For these cases, correlation coefficients exceeded 0.9. As a part of the analysis, Eulerian integral time scales ({tau}) were estimated for the four high-wind nights. Time series of {tau} through each night indicated erratic behavior consistent with the nonstationarity. Histograms of {tau} showed a mode at 4-5 s, but frequent occurrences of larger {tau} values, mostly between 10 and 100 s.

  19. Micropulse Lidar The ARM Program studies

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

    1 Micropulse Lidar The ARM Program studies clouds, sunlight, and their interactions to understand how they affect Earth's climate. One of the many instruments used to look at clouds at the SGP CART site is the micropulse lidar (MPL; "lidar" was coined from "light distance and ranging"). The ARM Program operates five MPLs. One is at the SGP central facility; one is at the North Slope of Alaska CART site in Barrow, Alaska; and three are for use at the Tropical Western Pacific

  20. Vertical Axis Wind Turbine

    Energy Science and Technology Software Center (OSTI)

    2002-04-01

    Blade fatigue life is an important element in determining the economic viability of the Vertical-Axis Wind Turbine (VAWT). VAWT-SAL Vertical Axis Wind Turbine- Stochastic Aerodynamic Loads Ver 3.2 numerically simulates the stochastic (random0 aerodynamic loads of the Vertical-Axis Wind Turbine (VAWT) created by the atomspheric turbulence. The program takes into account the rotor geometry, operating conditions, and assumed turbulence properties.

  1. ARM - Field Campaign - Aerosol Lidar Validation Experiment -...

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

    govCampaignsAerosol Lidar Validation Experiment - ALIVE Campaign Links ALIVE Website ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below...

  2. Lidar Inter-Comparison Exercise Final Campaign Report (Program Document) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Program Document: Lidar Inter-Comparison Exercise Final Campaign Report Citation Details In-Document Search Title: Lidar Inter-Comparison Exercise Final Campaign Report The objective of this field campaign was to evaluate the performance of the new Leosphere R-MAN 510 lidar, procured by the Australian Bureau of Meteorology, by testing it against the MicroPulse Lidar (MPL) and Raman lidars, at the Darwin Atmospheric Radiation Measurement (ARM) site. This lidar is an eye-safe

  3. Lidar Inter-Comparison Exercise Final Campaign Report (Technical Report) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Lidar Inter-Comparison Exercise Final Campaign Report Citation Details In-Document Search Title: Lidar Inter-Comparison Exercise Final Campaign Report The objective of this IOP was to evaluate the performances of the new Leosphere R-MAN 510 lidar procured by the Australian Bureau of Meteorology, by testing it against the MPL and Raman lidars at the Darwin ARM site. This lidar is an eye-safe (355 nm), turn-key mini Raman lidar, which allows for the detection of aerosols and

  4. Lidar for remote sensing; Proceedings of the Meeting, Berlin, Germany, June 24-26, 1992

    SciTech Connect (OSTI)

    Becherer, R.J.; Werner, C.

    1992-01-01

    The present volume on lidar for remote sensing discusses lidar system techniques for remote sensing of atmospheric pollution, airborne and surface-based lidar for environmental sensing of water and oceans, Doppler lidar for wind sensing and related measurement, aerosol measurements using lidar, ozone, water vapor, temperature, and density sensing with lidar systems, and new lidar technology systems and concepts. Attention is given to remote sensing of air pollution over large European cities by lidar, differential absorption lidar monitoring of atmospheric atomic mercury, an experimental evaluation of an airborne depth-sounding lidar, and remote sensing of the sea by tunable multichannel lidar. Topics addressed include recent developments in lidar techniques to measure the wind in the middle atmosphere, recent stratospheric aerosol measurements with a combined Raman elastic-backscatter lidar, the development of an eye-safe IR aerosol lidar, and temperature measurement by rotational Raman lidar.

  5. Raman Lidar Profiles-Temperature (RLPROFTEMP) Value-Added Product...

    Office of Scientific and Technical Information (OSTI)

    Authors: Newsom, RK ; Sivaraman, C ; McFarlane, SA Publication Date: 2012-10-31 OSTI Identifier: 1053989 Report Number(s): DOESC-ARMTR-120 PNNL-21965 DOE Contract Number: ...

  6. Micromachined electrostatic vertical actuator

    DOE Patents [OSTI]

    Lee, Abraham P.; Sommargren, Gary E.; McConaghy, Charles F.; Krulevitch, Peter A.

    1999-10-19

    A micromachined vertical actuator utilizing a levitational force, such as in electrostatic comb drives, provides vertical actuation that is relatively linear in actuation for control, and can be readily combined with parallel plate capacitive position sensing for position control. The micromachined electrostatic vertical actuator provides accurate movement in the sub-micron to micron ranges which is desirable in the phase modulation instrument, such as optical phase shifting. For example, compact, inexpensive, and position controllable micromirrors utilizing an electrostatic vertical actuator can replace the large, expensive, and difficult-to-maintain piezoelectric actuators. A thirty pound piezoelectric actuator with corner cube reflectors, as utilized in a phase shifting diffraction interferometer can be replaced with a micromirror and a lens. For any very precise and small amplitudes of motion` micromachined electrostatic actuation may be used because it is the most compact in size, with low power consumption and has more straightforward sensing and control options.

  7. A review of the remote sensing of lower-tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles

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

    Wulfmeyer, Volker; Hardesty, Mike; Turner, David D.; Behrendt, Andreas; Cadeddu, Maria; Di Girolamo, Paolo; Schlüssel, Peter; van Baelen, Joël; Zus, Florian

    2015-07-08

    A review of remote sensing technology for lower-tropospheric thermodynamic (TD) profiling is presented with focus on high accuracy and high temporal-vertical resolution. The contributions of these instruments to the understanding of the Earth system are assessed with respect to radiative transfer, land-surface-atmosphere feedback, convection initiation, and data assimilation. We demonstrate that for progress in weather and climate research, TD profilers are essential. These observational systems must resolve gradients of humidity and temperature in the stable or unstable atmospheric surface layer close to the ground, in the mixed layer, in the interfacial layer – usually characterized by an inversion – andmore » the lower troposphere. A thorough analysis of the current observing systems is performed revealing significant gaps that must be addressed to fulfill existing needs. We analyze whether current and future passive and active remote sensing systems can close these gaps. A methodological analysis and demonstration of measurement capabilities with respect to bias and precision is executed both for passive and active remote sensing including passive infrared and microwave spectroscopy, the global positioning system as well as water-vapor and temperature Raman lidar and water-vapor differential absorption lidar. Whereas passive remote sensing systems are already mature with respect to operational applications, active remote sensing systems require further engineering to become operational in networks. However, active remote sensing systems provide a smaller bias as well as higher temporal and vertical resolutions. For a suitable mesoscale network design, TD profiler system developments should be intensified and dedicated observing system simulation experiments should be performed.« less

  8. A review of the remote sensing of lower-tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles

    SciTech Connect (OSTI)

    Wulfmeyer, Volker; Hardesty, Mike; Turner, David D.; Behrendt, Andreas; Cadeddu, Maria; Di Girolamo, Paolo; Schlüssel, Peter; van Baelen, Joël; Zus, Florian

    2015-07-08

    A review of remote sensing technology for lower-tropospheric thermodynamic (TD) profiling is presented with focus on high accuracy and high temporal-vertical resolution. The contributions of these instruments to the understanding of the Earth system are assessed with respect to radiative transfer, land-surface-atmosphere feedback, convection initiation, and data assimilation. We demonstrate that for progress in weather and climate research, TD profilers are essential. These observational systems must resolve gradients of humidity and temperature in the stable or unstable atmospheric surface layer close to the ground, in the mixed layer, in the interfacial layer – usually characterized by an inversion – and the lower troposphere. A thorough analysis of the current observing systems is performed revealing significant gaps that must be addressed to fulfill existing needs. We analyze whether current and future passive and active remote sensing systems can close these gaps. A methodological analysis and demonstration of measurement capabilities with respect to bias and precision is executed both for passive and active remote sensing including passive infrared and microwave spectroscopy, the global positioning system as well as water-vapor and temperature Raman lidar and water-vapor differential absorption lidar. Whereas passive remote sensing systems are already mature with respect to operational applications, active remote sensing systems require further engineering to become operational in networks. However, active remote sensing systems provide a smaller bias as well as higher temporal and vertical resolutions. For a suitable mesoscale network design, TD profiler system developments should be intensified and dedicated observing system simulation experiments should be performed.

  9. Offshore Resource Assessment and Design Conditions Public Meeting...

    Broader source: Energy.gov (indexed) [DOE]

    Standoff, multiple vertical profile measurements of winds can be obtained currently with Doppler lidar. Some of the more powerful systems could measure wind profiles over the...

  10. Accessing the Energy Department's Lidar Buoy Data off Virginia Beach |

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

    Department of Energy Accessing the Energy Department's Lidar Buoy Data off Virginia Beach Accessing the Energy Department's Lidar Buoy Data off Virginia Beach In December 2014, Pacific Northwest National Laboratory (PNNL) deployed the Energy Department's floating lidar buoy off of Virginia Beach, Virginia, in less than 30 meters (m) of water, approximately 28 nautical miles offshore (approximate coordinates: 36° 52.00' N, 75° 29.53' W). This buoy is collecting meteorological and

  11. Advanced Lidars for ARM: What Would We Get?

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

    CMWG Breakout Session 2009 ARM Science Team Meeting Advanced Lidars for ARM: What Would We Get? Dave Turner, Ed Eloranta University of Wisconsin - Madison CMWG Breakout Session 2009 ARM Science Team Meeting What is an "Advanced Lidar?" (1) * Ceilometer - Max range ~7km, unpolarized, uncalibrated * Micropulse lidar (MPL) - Sensitive to clouds & aerosols throughout troposphere - Small telescope, rep rate is 1.5 kHz, microjoules of power - Loses sensitivity to cirrus in upper trop

  12. LiDAR (Lewicki & Oldenburg, 2005) | Open Energy Information

    Open Energy Info (EERE)

    Technique LiDAR Activity Date Usefulness useful DOE-funding Unknown References Jennifer L. Lewicki, Curtis M. Oldenburg (2005) Strategies To Detect Hidden Geothermal Systems...

  13. LiDAR (Lewicki & Oldenburg, 2004) | Open Energy Information

    Open Energy Info (EERE)

    Technique LiDAR Activity Date Usefulness useful DOE-funding Unknown References Jennifer L. Lewicki, Curtis M. Oldenburg (2004) Strategies For Detecting Hidden Geothermal Systems...

  14. A Lidar View of Clouds in Southeastern China

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

    Lidar View of Clouds in Southeastern China For original submission and image(s), see ARM Research Highlights http:www.arm.govsciencehighlights Research Highlight From May 2008...

  15. ARM - Field Campaign - Lidar support for ICECAPS at Summit, Greenland

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

    govCampaignsLidar support for ICECAPS at Summit, Greenland Campaign Links ICECAPS Campaign Summary (PDF) Summit Station Research Highlight New Data from Greenland for Arctic...

  16. ARM - Field Campaign - M-PACE - Polarization Diversity Lidar (PDL)

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

    - Polarization Diversity Lidar (PDL) Campaign Links M-PACE Website ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : M-PACE - Polarization Diversity Lidar (PDL) 2004.09.01 - 2004.10.21 Lead Scientist : Kenneth Sassen For data sets, see below. Abstract In support of M-PACE, a Polarization Diversity Lidar (PDL), was deployed to the NSA. Unlike the micro pulses of the MPL (micropulse lidar) present at NSA, the

  17. Summary of Convective Core Vertical Velocity Properties Using ARM UHF Wind

    Office of Scientific and Technical Information (OSTI)

    Profilers in Oklahoma (Journal Article) | SciTech Connect Journal Article: Summary of Convective Core Vertical Velocity Properties Using ARM UHF Wind Profilers in Oklahoma Citation Details In-Document Search Title: Summary of Convective Core Vertical Velocity Properties Using ARM UHF Wind Profilers in Oklahoma Authors: Giangrande S. E. ; Collis, S. ; Straka, J. ; Protat, A. ; Williams, C. ; Krueger, S. A Publication Date: 2013-10-01 OSTI Identifier: 1122734 Report Number(s):

  18. Three-dimensional elastic lidar winds

    SciTech Connect (OSTI)

    Buttler, W.T.

    1996-07-01

    Maximum cross-correlation techniques have been used with satellite data to estimate winds and sea surface velocities for several years. Los Alamos National Laboratory (LANL) is currently using a variation of the basic maximum cross-correlation technique, coupled with a deterministic application of a vector median filter, to measure transverse winds as a function of range and altitude from incoherent elastic backscatter lidar data taken throughout large volumes within the atmospheric boundary layer. Hourly representations of three- dimensional wind fields, derived from elastic lidar data taken during an air-quality study performed in a region of complex terrain near Sunland Park, New Mexico, are presented and compared with results from an Environmental Protection Agency (EPA) approved laser doppler velocimeter. The wind fields showed persistent large scale eddies as well as general terrain following winds in the Rio Grande valley.

  19. Lidar techniques for search and rescue

    SciTech Connect (OSTI)

    Cabral, W.L.

    1985-01-01

    Four techniques for using LIDAR in Search and Rescue Operations will be discussed. The topic will include laser retroreflection, laser-induced fluorescence in the visible, laser-induced fluorescence during daylight hours, and laser-induced fluorescence in the uv. These techniques use high-repetition rate lasers at a variety of frequencies to induce either fluorescence in dye markers or retroreflection from plastic corner cubes on life preservers and other emergency markers.

  20. Adaptive Data Processing Technique for Lidar-Assisted Control to Bridge the Gap between Lidar Systems and Wind Turbines: Preprint

    SciTech Connect (OSTI)

    Schlipf, David; Raach, Steffen; Haizmann, Florian; Cheng, Po Wen; Fleming, Paul; Scholbrock, Andrew, Krishnamurthy, Raghu; Boquet, Mathieu

    2015-12-14

    This paper presents first steps toward an adaptive lidar data processing technique crucial for lidar-assisted control in wind turbines. The prediction time and the quality of the wind preview from lidar measurements depend on several factors and are not constant. If the data processing is not continually adjusted, the benefit of lidar-assisted control cannot be fully exploited, or can even result in harmful control action. An online analysis of the lidar and turbine data are necessary to continually reassess the prediction time and lidar data quality. In this work, a structured process to develop an analysis tool for the prediction time and a new hardware setup for lidar-assisted control are presented. The tool consists of an online estimation of the rotor effective wind speed from lidar and turbine data and the implementation of an online cross correlation to determine the time shift between both signals. Further, initial results from an ongoing campaign in which this system was employed for providing lidar preview for feed-forward pitch control are presented.

  1. Multicolored Vertical Silicon Nanowires

    SciTech Connect (OSTI)

    Seo, Kwanyong; Wober, Munib; Steinvurzel, P.; Schonbrun, E.; Dan, Yaping; Ellenbogen, T.; Crozier, K. B.

    2011-04-13

    We demonstrate that vertical silicon nanowires take on a surprising variety of colors covering the entire visible spectrum, in marked contrast to the gray color of bulk silicon. This effect is readily observable by bright-field microscopy, or even to the naked eye. The reflection spectra of the nanowires each show a dip whose position depends on the nanowire radii. We compare the experimental data to the results of finite difference time domain simulations to elucidate the physical mechanisms behind the phenomena we observe. The nanowires are fabricated as arrays, but the vivid colors arise not from scattering or diffractive effects of the array, but from the guided mode properties of the individual nanowires. Each nanowire can thus define its own color, allowing for complex spatial patterning. We anticipate that the color filter effect we demonstrate could be employed in nanoscale image sensor devices.

  2. Application of coherent lidar to ion measurements in plasma diagnostics

    SciTech Connect (OSTI)

    Hutchinson, D.P.; Richards, R.K.; Bennett, C.A.; Simpson, M.L.

    1997-03-01

    A coherent lidar system has been constructed for the measurement of alpha particles in a burning plasma. The lidar system consists of a pulsed CO{sub 2} laser transmitter and a heterodyne receiver. The receiver local oscillator is a cw, sequence-band CO{sub 2} laser operating with a 63.23 GHz offset from the transmitter.

  3. ARM - Publications: Science Team Meeting Documents: Modeling the vertical

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

    profiles of aerosol characteristics and radiative impacts over the ARM sites Modeling the vertical profiles of aerosol characteristics and radiative impacts over the ARM sites Chuang, Catherine DOE/Lawrence Livermore National Laboratory Chin, Steve DOE/Lawrence Livermore National Laboratory Atmospheric aerosols play an important role in mediating the radiative balance of the Earth-atmosphere system. A global high-resolution aerosol modeling system developed by the Lawrence Livermore National

  4. On the relationship among cloud turbulence, droplet formation and drizzle as viewed by Doppler radar, microwave radiometer and lidar

    SciTech Connect (OSTI)

    Feingold, G.; Frisch, A.S.; Cotton, W.R.

    1999-09-01

    Cloud radar, microwave radiometer, and lidar remote sensing data acquired during the Atlantic Stratocumulus Transition Experiment (ASTEX) are analyzed to address the relationship between (1) drop number concentration and cloud turbulence as represented by vertical velocity and vertical velocity variance and (2) drizzle formation and cloud turbulence. Six cases, each of about 12 hours duration, are examined; three of these cases are characteristic of nondrizzling boundary layers and three of drizzling boundary layers. In all cases, microphysical retrievals are only performed when drizzle is negligible (radar reflectivity{lt}{minus}17dBZ). It is shown that for the cases examined, there is, in general, no correlation between drop concentration and cloud base updraft strength, although for two of the nondrizzling cases exhibiting more classical stratocumulus features, these two parameters are correlated. On drizzling days, drop concentration and cloud-base vertical velocity were either not correlated or negatively correlated. There is a significant positive correlation between drop concentration and mean in-cloud vertical velocity variance for both nondrizzling boundary layers (correlation coefficient r=0.45) and boundary layers that have experienced drizzle (r=0.38). In general, there is a high correlation (r{gt}0.5) between radar reflectivity and in-cloud vertical velocity variance, although one of the boundary layers that experienced drizzle exhibited a negative correlation between these parameters. However, in the subcloud region, all boundary layers that experienced drizzle exhibit a negative correlation between radar reflectivity and vertical velocity variance. {copyright} 1999 American Geophysical Union

  5. Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012

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

    Jaffe, Todd

    Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012

  6. Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012

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

    Jaffe, Todd

    2012-01-01

    Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012

  7. Calculation of aerosol backscatter from airborne continuous wave focused CO sub 2 Doppler lidar measurements. 1. Algorithm description

    SciTech Connect (OSTI)

    Rothermel, J. ); Bowdle, D.A. ); Vaughan, J.M.; Brown, D.W. ); Woodfield, A.A. )

    1991-03-20

    Since 1981 the Royal Signals and Radar Establishment and the Royal Aircraft Establishment, United Kingdom, have made vertical and horizontal sounding measurements of aerosol backscatter coefficients at 10.6 {mu}m using an airborne continuous wave focused CO{sub 2} Doppler lidar, the Laser True Airspeed System (LATAS). The heterodyne signal from the LATAS detector is spectrally analyzed. Then, in conjunction with aircraft flight parameters, the data are processed in a six-stage computer algorithm: Set search window, search for peak signal, test peak signal, measure total signal, calculate signal-to-noise ratio (SNR), and calculate backscatter coefficient.

  8. Estimation of the mixing layer height over a high altitude site in Central Himalayan region by using Doppler lidar

    SciTech Connect (OSTI)

    Shukla, K. K.; Phanikumar, D. V.; Newsom, Rob K.; Kumar, Niranjan; Ratnam, Venkat; Naja, M.; Singh, Narendra

    2014-03-01

    A Doppler lidar was installed at Manora Peak, Nainital (29.4 N; 79.2 E, 1958 amsl) to estimate mixing layer height for the first time by using vertical velocity variance as basic measurement parameter for the period September-November 2011. Mixing layer height is found to be located ~0.57 +/- 0.1and 0.45 +/- 0.05km AGL during day and nighttime, respectively. The estimation of mixing layer height shows good correlation (R>0.8) between different instruments and with different methods. Our results show that wavelet co-variance transform is a robust method for mixing layer height estimation.

  9. Conventional Energy Forum & Associated Vertical Business Development...

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

    Conventional Energy Forum & Associated Vertical Business Development: Best Practices in Indian Country Conventional Energy Forum & Associated Vertical Business Development: Best ...

  10. People Profiles

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

    People Profiles Featured Profile Peter Thelin The art of optics Read More Lisa Burrows Lisa Burrows Jeremy Huckins Jeremy Huckins Ibo Matthews Ibo Matthews Susanna Reyes Susana...

  11. Vertical microphysical profiles of convective clouds as a tool...

    Office of Scientific and Technical Information (OSTI)

    at a global scale requires simultaneous satellite retrievals of cloud condensation nuclei ... of boundary layer convective clouds from an operational polar orbiting weather satellite. ...

  12. Vertical Seismic Profiling At Rye Patch Area (Feighner, Et Al...

    Open Energy Info (EERE)

    reflectivity in the area and to obtain velocity information for the design and potential processing of the proposed 3-D seismic survey Feighner et al. (1998). Because the results...

  13. Vertical Seismic Profiling At Neal Hot Springs Geothermal Area...

    Open Energy Info (EERE)

    were taken in three different wells. A 60 kg accelerated weight drop and Vibroseis machine was used as the seismic source. Two receiver arrays were used, one was a linear...

  14. Vertical Seismic Profiling (Majer, 2003) | Open Energy Information

    Open Energy Info (EERE)

    DOE-funding Unknown Notes The goal of this work is to evaluate the most promising methods and approaches that may be used for improved geothermal exploration and reservoir...

  15. ARM - Measurement - Liquid water content

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

    : PNNL's Atmospheric Remote Sensing Laboratory PARTIMG : Particle imager PDI : Phase Doppler Interferometer RLPROF : Raman LIDAR Vertical Profiles TDLAS : Tunable Diode Laser...

  16. Quantifying the Aerosol Indirect Effect Using Ground-Based Remote...

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

    (with assumed particle chemistry), a vertical wind profile (ideally we would need a Doppler lidar to provide this, but the cloud radar will suffice), and surface temperature...

  17. Atmospheric Data, Images, and Animations from Lidar Instruments used by the University of Wisconsin Lidar Group

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

    The Space Science and Engineering Center is a research and development center affiliated with the University of Wisconsin-Madison’s Graduate School. Its primary focus is on geophysical research and technology to enhance understanding of the atmosphere of Earth, the other planets in the Solar System, and the cosmos. SSEC develops new observing tools for spacecraft, aircraft, and ground-based platforms, and models atmospheric phenomena. The Center receives, manages and distributes huge amounts of geophysical data and develops software to visualize and manipulate these data for use by researchers and operational meteorologists all over the world.[Taken from About SSEC at http://www.ssec.wisc.edu/overview/] A huge collection of data products, images, and animations comes to the SSEC from the University of Wisconsin Lidar Group. Contents of this collection include: • An archive of thousands of Lidar images acquired before 2004 • Arctic HSRL, MMCR, PAERI, MWR, Radiosonde, and CRAS forecast data Data after May 1, 2004 • MPEG animations and Lidar Multiple Scattering Models

  18. Atmospheric Data, Images, and Animations from Lidar Instruments used by the University of Wisconsin Lidar Group

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

    The Space Science and Engineering Center is a research and development center affiliated with the University of Wisconsin-Madisons Graduate School. Its primary focus is on geophysical research and technology to enhance understanding of the atmosphere of Earth, the other planets in the Solar System, and the cosmos. SSEC develops new observing tools for spacecraft, aircraft, and ground-based platforms, and models atmospheric phenomena. The Center receives, manages and distributes huge amounts of geophysical data and develops software to visualize and manipulate these data for use by researchers and operational meteorologists all over the world.[Taken from About SSEC at http://www.ssec.wisc.edu/overview/] A huge collection of data products, images, and animations comes to the SSEC from the University of Wisconsin Lidar Group. Contents of this collection include: An archive of thousands of Lidar images acquired before 2004 Arctic HSRL, MMCR, PAERI, MWR, Radiosonde, and CRAS forecast data Data after May 1, 2004 MPEG animations and Lidar Multiple Scattering Models

  19. ARM - PI Product - Finnish Meteorological Institute Doppler Lidar

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

    ProductsFinnish Meteorological Institute Doppler Lidar Citation DOI: 10.54391177194 What is this? ARM Data Discovery Browse Data Comments? We would love to hear from you Send...

  20. LiDAR (Lewicki & Oldenburg) | Open Energy Information

    Open Energy Info (EERE)

    Technique LiDAR Activity Date Usefulness useful DOE-funding Unknown References Jennifer L. Lewicki, Curtis M. Oldenburg (Unknown) Near-Surface Co2 Monitoring And Analysis To...

  1. Cloud properties derived from the High Spectral Resolution Lidar...

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

    depth. These results will be compared to similar results observed during the first 8-months of our current deployment at Eureka, Canada (80N, 86.2W). http:lidar.ssec.wisc.edu...

  2. Elastic Scattering LIDAR Data Acquisition Visualization and Analysis

    Energy Science and Technology Software Center (OSTI)

    1999-10-12

    ELASTIC/EVIEW is a software system that controls an elastic scattering atmospheric Light Detection and Ranging (LIDAR) instrument. It can acquire elastic scattering LIDAR data using this system and produce images of one, two, and three-dimensional atmospheric data on particulates and other atmospheric pollutants. The user interface is a modern menu driven syatem with appropriate support for user configuration and printing files.

  3. Lidar Inter-Comparison Exercise Final Campaign Report (Program Document) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Program Document: Lidar Inter-Comparison Exercise Final Campaign Report Citation Details In-Document Search Title: Lidar Inter-Comparison Exercise Final Campaign Report × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional information resources in energy science and technology. A paper copy

  4. Vertical axis wind turbine airfoil

    DOE Patents [OSTI]

    Krivcov, Vladimir; Krivospitski, Vladimir; Maksimov, Vasili; Halstead, Richard; Grahov, Jurij Vasiljevich

    2012-12-18

    A vertical axis wind turbine airfoil is described. The wind turbine airfoil can include a leading edge, a trailing edge, an upper curved surface, a lower curved surface, and a centerline running between the upper surface and the lower surface and from the leading edge to the trailing edge. The airfoil can be configured so that the distance between the centerline and the upper surface is the same as the distance between the centerline and the lower surface at all points along the length of the airfoil. A plurality of such airfoils can be included in a vertical axis wind turbine. These airfoils can be vertically disposed and can rotate about a vertical axis.

  5. LIDAR Wind Speed Measurements of Evolving Wind Fields

    SciTech Connect (OSTI)

    Simley, E.; Pao, L. Y.

    2012-07-01

    Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed Taylor's frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylor's hypothesis applied, the only source of wind speed measurement error is distortion caused by the LIDAR. This study introduces wind evolution, characterized by the longitudinal coherence of the wind, to LIDAR measurement simulations to create a more realistic measurement model. A simple model of wind evolution is applied to a frozen wind field used in previous studies to investigate the effects of varying the intensity of wind evolution. LIDAR measurements are also evaluated with a large eddy simulation of a stable boundary layer provided by the National Center for Atmospheric Research. Simulation results show the combined effects of LIDAR errors and wind evolution for realistic turbine-mounted LIDAR measurement scenarios.

  6. An Evaluation of Mesoscale Model Predictions of Down-Valley and Canyon Flows and Their Consequences Using Doppler Lidar Measurements During VTMX 2000

    SciTech Connect (OSTI)

    Fast, Jerome D.; Darby, Lisa S.

    2004-04-01

    A mesoscale model, a Lagrangian particle dispersion model, and extensive Doppler lidar wind measurements during the VTMX 2000 field campaign were used to examine converging flows over the Salt Lake Valley and their effect on vertical mixing of tracers at night and during the morning transition period. The simulated wind components were transformed into radial velocities to make a direct comparison with about 1.3 million Doppler lidar data points and critically evaluate, using correlation coefficients, the spatial variations in the simulated wind fields aloft. The mesoscale model captured reasonably well the general features of the observed circulations including the daytime up-valley flow, the nighttime slope, canyon, and down-valley flows, and the convergence of the flows over the valley. When there were errors in the simulated wind fields, they were usually associated with the timing, structure, or strength of specific flows. Simulated outflows from canyons along the Wasatch Mountains propagated over the valley and converged with the down-valley flow, but the advance and retreat of these simulated flows was often out of phase with the lidar measurements. While the flow reversal during the evening transition period produced rising motions over much of the valley atmosphere in the absence of significant ambient winds, average vertical velocities became close to zero as the down-valley flow developed. Still, vertical velocities between 5 and 15 cm s-1 occurred where down-slope, canyon and down-valley flows converged and vertical velocities greater than 50 cm s-1 were produced by hydraulic jumps at the base of the canyons. The presence of strong ambient winds resulted in smaller average rising motions during the evening transition period and larger average vertical velocities after that. A fraction of the tracer released at the surface was transported up to the height of the surrounding mountains; however, higher concentrations were produced aloft for evenings characterized by well-developed drainage circulations. Simulations with and without vertical motions in the particle model produced large differences in the tracer concentrations at specific locations and times; however, the overall ventilation of the valley atmosphere differed by only 5% or less. Despite the atmospheric stability, turbulence produced by vertical wind shears mixed particles well above the surface stable layer for the particle model simulation without vertical motions.

  7. Final Technical Report for Interagency Agreement No. DE-SC0005453 “Characterizing Aerosol Distributions, Types, and Optical and Microphysical Properties using the NASA Airborne High Spectral Resolution Lidar (HSRL) and the Research Scanning Polarimeter (RSP)”

    SciTech Connect (OSTI)

    Hostetler, Chris; Ferrare, Richard

    2015-01-13

    Measurements of the vertical profile of atmospheric aerosols and aerosol optical and microphysical characteristics are required to: 1) determine aerosol direct and indirect radiative forcing, 2) compute radiative flux and heating rate profiles, 3) assess model simulations of aerosol distributions and types, and 4) establish the ability of surface and space-based remote sensors to measure the indirect effect. Consequently the ASR program calls for a combination of remote sensing and in situ measurements to determine aerosol properties and aerosol influences on clouds and radiation. As part of our previous DOE ASP project, we deployed the NASA Langley airborne High Spectral Resolution Lidar (HSRL) on the NASA B200 King Air aircraft during major field experiments in 2006 (MILAGRO and MaxTEX), 2007 (CHAPS), 2009 (RACORO), and 2010 (CalNex and CARES). The HSRL provided measurements of aerosol extinction (532 nm), backscatter (532 and 1064 nm), and depolarization (532 and 1064 nm). These measurements were typically made in close temporal and spatial coincidence with measurements made from DOE-funded and other participating aircraft and ground sites. On the RACORO, CARES, and CalNEX missions, we also deployed the NASA Goddard Institute for Space Studies (GISS) Research Scanning Polarimeter (RSP). RSP provided intensity and degree of linear polarization over a broad spectral and angular range enabling column-average retrievals of aerosol optical and microphysical properties. Under this project, we analyzed observations and model results from RACORO, CARES, and CalNex and accomplished the following objectives. 1. Identified aerosol types, characterize the vertical distribution of the aerosol types, and partition aerosol optical depth by type, for CARES and CalNex using HSRL data as we have done for previous missions. 2. Investigated aerosol microphysical and macrophysical properties using the RSP. 3. Used the aerosol backscatter and extinction profiles measured by the HSRL to characterize the planetary boundary layer height (PBL) and the transition zone thickness, for the RACORO and CARES and CalNex campaigns as we have done for previous campaigns. 4. Investigated how optical properties measured by HSRL vary near clouds. 5. Assessed model simulations of aerosol spatial distributions and optical and microphysical properties.

  8. Modeling LIDAR Detection of Biological Aerosols to Determine Optimum Implementation Strategy

    SciTech Connect (OSTI)

    Sheen, David M.; Aker, Pam M.

    2007-09-19

    This report summarizes work performed for a larger multi-laboratory project named the Background Interferent Measurement and Standards project. While originally tasked to develop algorithms to optimize biological warfare agent detection using UV fluorescence LIDAR, the current uncertainties in the reported fluorescence profiles and cross sections the development of any meaningful models. It was decided that a better approach would be to model the wavelength-dependent elastic backscattering from a number of ambient background aerosol types, and compare this with that generated from representative sporulated and vegetative bacterial systems. Calculations in this report show that a 266, 355, 532 and 1064 nm elastic backscatter LIDAR experiment will allow an operator to immediately recognize when sulfate, VOC-based or road dust (silicate) aerosols are approaching, independent of humidity changes. It will be more difficult to distinguish soot aerosols from biological aerosols, or vegetative bacteria from sporulated bacteria. In these latter cases, the elastic scattering data will most likely have to be combined with UV fluorescence data to enable a more robust categorization.

  9. LiDAR At Chocolate Mountains Area (Alm, Et Al., 2010) | Open...

    Open Energy Info (EERE)

    aerial Li-DAR survey flown over the project areas, securing over 177,000 square kilometers of <30cm accuracy digital elevation data. LiDAR data were analyzed to characterize...

  10. Estimations of atmospheric boundary layer fluxes and other turbulence parameters from Doppler lidar data

    SciTech Connect (OSTI)

    Tzvi Galchen; Mei Xu ); Eberhard, W.L. )

    1992-11-30

    This work is part of the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE), an international land-surface-atmosphere experiment aimed at improving the way climate models represent energy, water, heat, and carbon exchanges, and improving the utilization of satellite based remote sensing to monitor such parameters. Here the authors present results on doppler LIDAR measurements used to measure a range of turbulence parameters in the region of the unstable planetary boundary layer (PBL). The parameters include, averaged velocities, cartesian velocities, variances in velocities, parts of the covariance associated with vertical fluxes of horizontal momentum, and third moments of the vertical velocity. They explain their analysis technique, especially as it relates to error reduction of the averaged turbulence parameters from individual measurements with relatively large errors. The scales studied range from 150m to 12km. With this new diagnostic they address questions about the behavior of the convectively unstable PBL, as well as the stable layer which overlies it.

  11. Symposium on Lower Tropospheric Profiling: Needs and Technologies, 1st, Boulder, CO, May 31-June 3, 1988, Papers

    SciTech Connect (OSTI)

    Dabberdt, W.F.; Hardesty, R.M.

    1989-10-01

    Papers on lower tropospheric profiling are presented, covering topics such as horizontal resolution needs for adequate lower tropospheric profiling with atmospheric systems forced by horizontal gradients in surface heating, meteorological data requirements for modeling air quality uncertainties, and kinematic quantities derived from a triangle of VHF Doppler wind profilers. Other topics include the intercomparison of wind measurements from two acoustic Doppler sodars, a laser Doppler radar, and in situ sensors, studying precipitation processes in the troposphere with an FM-CW radar, Doppler lidar measurements of profiles of turbulence and momentum flux, and airborne Doppler lidar measurements of the extended California sea breeze. Additional subjects include DIAL tropospheric ozone measurement using a Nd:YAG laser and the Raman shifting technique, design considerations for a network of thermodynamic profilers, nonredundant frequencies for ground-based microwave radiometric temperature profiling, and the sounding range of a 1-m wavelength radio acoustic sounder.

  12. Comparison of Two Independent LIDAR-Based Pitch Control Designs

    SciTech Connect (OSTI)

    Dunne, F.; Schlipf, D.; Pao, L. Y.

    2012-08-01

    Two different lidar-based feedforward controllers have previously been designed for the NREL 5 MW wind turbine model under separate studies. Feedforward controller A uses a finite-impulse-response design, with 5 seconds of preview, and three rotating lidar measurements. Feedforward controller B uses a static-gain design, with the preview time defined by the pitch actuator dynamics, a simulation of a real nacelle-based scanning lidar system, and a lowpass filter defined by the lidar configuration. These controllers are now directly compared under the same lidar configuration, in terms of fatigue load reduction, rotor speed regulation, and power capture. The various differences in design choices are discussed and compared. We also compare frequency plots of individual pitch feedforward and collective pitch feedforward load reductions, and we see that individual pitch feedforward is effective mainly at the once-per-revolution and twice-per-revolution frequencies. We also explain how to determine the required preview time by breaking it down into separate parts, and we then compare it to the expected preview time available.

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

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

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

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

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

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

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

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

    Karen Johnson; Michael Jensen

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

  16. ARM: ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

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

    Karen Johnson; Michael Jensen

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

  17. Continuous Profiles of Cloud Microphysical Properties for the Fixed Atmospheric Radiation Measurement Sites

    SciTech Connect (OSTI)

    Jensen, M; Jensen, K

    2006-06-01

    The Atmospheric Radiation Measurement (ARM) Program defined a specific metric for the third quarter of Fiscal Year 2006 to produce and refine a one-year continuous time series of cloud microphysical properties based on cloud radar measurements for each of the fixed ARM sites. To accomplish this metric, we used a combination of recently developed algorithms that interpret radar reflectivity profiles, lidar backscatter profiles, and microwave brightness temperatures into the context of the underlying cloud microphysical structure.

  18. Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control: Preprint

    SciTech Connect (OSTI)

    Davoust, S.; Jehu, A.; Bouillet, M.; Bardon, M.; Vercherin, B.; Scholbrock, A.; Fleming, P.; Wright, A.

    2014-05-01

    Turbine-mounted lidars provide preview measurements of the incoming wind field. By reducing loads on critical components and increasing the potential power extracted from the wind, the performance of wind turbine controllers can be improved [2]. As a result, integrating a light detection and ranging (lidar) system has the potential to lower the cost of wind energy. This paper presents an evaluation of turbine-mounted lidar availability. Availability is a metric which measures the proportion of time the lidar is producing controller-usable data, and is essential when a wind turbine controller relies on a lidar. To accomplish this, researchers from Avent Lidar Technology and the National Renewable Energy Laboratory first assessed and modeled the effect of extreme atmospheric events. This shows how a multirange lidar delivers measurements for a wide variety of conditions. Second, by using a theoretical approach and conducting an analysis of field feedback, we investigated the effects of the lidar setup on the wind turbine. This helps determine the optimal lidar mounting position at the back of the nacelle, and establishes a relationship between availability, turbine rpm, and lidar sampling time. Lastly, we considered the role of the wind field reconstruction strategies and the turbine controller on the definition and performance of a lidar's measurement availability.

  19. Vertically Integrated Circuits at Fermilab

    SciTech Connect (OSTI)

    Deptuch, Grzegorz; Demarteau, Marcel; Hoff, James; Lipton, Ronald; Shenai, Alpana; Trimpl, Marcel; Yarema, Raymond; Zimmerman, Tom; /Fermilab

    2009-01-01

    The exploration of the vertically integrated circuits, also commonly known as 3D-IC technology, for applications in radiation detection started at Fermilab in 2006. This paper examines the opportunities that vertical integration offers by looking at various 3D designs that have been completed by Fermilab. The emphasis is on opportunities that are presented by through silicon vias (TSV), wafer and circuit thinning and finally fusion bonding techniques to replace conventional bump bonding. Early work by Fermilab has led to an international consortium for the development of 3D-IC circuits for High Energy Physics. The consortium has submitted over 25 different designs for the Fermilab organized MPW run organized for the first time.

  20. Vertical tube liquid pollutant separators

    SciTech Connect (OSTI)

    Lynch, W.M.

    1982-06-08

    A plurality of elongated hollow, circular, foraminous substantially vertical tubes contiguously stacked transversely to the direction flowing liquid such as waste water containing foreign matter, I.E., settable solids and free oil, in a coalescer-separator apparatus provide a filter body providing for significant surface area contact by the liquid on both inside and outside surfaces of the tubes to entrap the foreign matter but defining substantially vertical passages permitting the entrapped foreign matter to be gravity separated with the lighter matter coalescing and floating upwardly and the heavier matter settling downwardly so that substantially clarified effluent flows from the apparatus. The stacked tube filter body is contained within an insulated closed container of a sufficient capacity, and the arrays of holes in the tube walls are coordinated with respect to the intended volumetric capacity of the apparatus, so that turbulence in the liquid flowing through the filter body is minimized.

  1. Radar Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

    1) To provide profiles of the horizontal wind to be used to test and validate short-term cloud advection forecasts for solar-energy applications and 2) to provide vertical ...

  2. NASA Lidar system support and MOPA technology demonstration. Final report

    SciTech Connect (OSTI)

    Laughman, L.M.; Capuano, B.; Wayne, R.J.

    1986-08-01

    A series of lidar design and technology demonstration tasks in support of a CO/sub 2/ lidar program is discussed. The first of these tasks is discussed in Section VI of this report under the heading of NASA Optical Lidar Design and it consists of detailed recommendations for the layout of a CO/sub 2/ Doppler lidar incorporating then existing NASA optical components and mounts. The second phase of this work consisted of the design, development, and delivery to NASA of a novel acousto-optic laser frequency stabilization system for use with the existing NASA ring laser transmitter. The second major task in this program encompasses the design and experimental demonstration of a master oscillator-power amplifier (MOPA) laser transmitter utilizing a commercially available laser as the amplifier. The MOPA design including the low chirp master oscillator is discussed in detail. Experimental results are given for one, two and three pass amplification. The report includes operating procedures for the MOPA system.

  3. SGP and TWP (Manus) Ice Cloud Vertical Velocities (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Search Results SGP and TWP (Manus) Ice Cloud Vertical Velocities Title: SGP and TWP (Manus) Ice Cloud Vertical Velocities Daily netcdf-files of ice-cloud dynamics observed at the ARM sites at SGP (Jan1997-Dec2010) and Manus (Jul1999-Dec2010). The files include variables at different time resolution (10s, 20min, 1hr). Profiles of radar reflectivity factor (dbz), Doppler velocity (vel) as well as retrieved vertical air motion (V_air) and reflectivity-weighted particle terminal fall

  4. Vertically aligned nanostructure scanning probe microscope tips

    DOE Patents [OSTI]

    Guillorn, Michael A.; Ilic, Bojan; Melechko, Anatoli V.; Merkulov, Vladimir I.; Lowndes, Douglas H.; Simpson, Michael L.

    2006-12-19

    Methods and apparatus are described for cantilever structures that include a vertically aligned nanostructure, especially vertically aligned carbon nanofiber scanning probe microscope tips. An apparatus includes a cantilever structure including a substrate including a cantilever body, that optionally includes a doped layer, and a vertically aligned nanostructure coupled to the cantilever body.

  5. LIDAR Thomson scattering for advanced tokamaks. Final report

    SciTech Connect (OSTI)

    Molvik, A.W.; Lerche, R.A.; Nilson, D.G.

    1996-03-18

    The LIDAR Thomson Scattering for Advanced Tokamaks project made a valuable contribution by combining LLNL expertise from the MFE Program: tokamak design and diagnostics, and the ICF Program and Physics Dept.: short-pulse lasers and fast streak cameras. This multidisciplinary group evaluated issues involved in achieving a factor of 20 higher high spatial resolution (to as small as 2-3 mm) from the present state of the art in LIDAR Thomson scattering, and developed conceptual designs to apply LIDAR Thomson scattering to three tokamaks: Upgraded divertor measurements in the existing DIII-D tokamak; Both core and divertor LIDAR Thomson scattering in the proposed (now cancelled) TPX; and core, edge, and divertor LIDAR Thomson scattering on the presently planned International Tokamak Experimental Reactor, ITER. Other issues were evaluated in addition to the time response required for a few millimeter spatial resolution. These include the optimum wavelength, 100 Hz operation of the laser and detectors, minimizing stray light - always the Achilles heel of Thomson scattering, and time dispersion in optics that could prevent good spatial resolution. Innovative features of our work included: custom short pulsed laser concepts to meet specific requirements, use of a prism spectrometer to maintain a constant optical path length for high temporal and spatial resolution, the concept of a laser focus outside the plasma to ionize gas and form an external fiducial to use in locating the plasma edge as well as to spread the laser energy over a large enough area of the inner wall to avoid laser ablation of wall material, an improved concept for cleaning windows between shots by means of laser ablation, and the identification of a new physics issue - nonlinear effects near a laser focus which could perturb the plasma density and temperature that are to be measured.

  6. Category:Vertical Flowmeter Test | Open Energy Information

    Open Energy Info (EERE)

    Vertical Flowmeter Test Jump to: navigation, search Geothermalpower.jpg Looking for the Vertical Flowmeter Test page? For detailed information on Vertical Flowmeter Test, click...

  7. SGP and TWP (Manus) Ice Cloud Vertical Velocities

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

    Kalesse, Heike

    Daily netcdf-files of ice-cloud dynamics observed at the ARM sites at SGP (Jan1997-Dec2010) and Manus (Jul1999-Dec2010). The files include variables at different time resolution (10s, 20min, 1hr). Profiles of radar reflectivity factor (dbz), Doppler velocity (vel) as well as retrieved vertical air motion (V_air) and reflectivity-weighted particle terminal fall velocity (V_ter) are given at 10s, 20min and 1hr resolution. Retrieved V_air and V_ter follow radar notation, so positive values indicate downward motion. Lower level clouds are removed, however a multi-layer flag is included.

  8. SGP and TWP (Manus) Ice Cloud Vertical Velocities

    SciTech Connect (OSTI)

    Kalesse, Heike

    2013-06-27

    Daily netcdf-files of ice-cloud dynamics observed at the ARM sites at SGP (Jan1997-Dec2010) and Manus (Jul1999-Dec2010). The files include variables at different time resolution (10s, 20min, 1hr). Profiles of radar reflectivity factor (dbz), Doppler velocity (vel) as well as retrieved vertical air motion (V_air) and reflectivity-weighted particle terminal fall velocity (V_ter) are given at 10s, 20min and 1hr resolution. Retrieved V_air and V_ter follow radar notation, so positive values indicate downward motion. Lower level clouds are removed, however a multi-layer flag is included.

  9. Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control (Poster)

    SciTech Connect (OSTI)

    Scholbrock, F. A.; Fleming, P.; Wright, A.; Davoust, S.; Jehu, A.; Bouillet, M.; Bardon M.; Vercherin, B.

    2014-02-01

    Integrating Lidar to improve wind turbine controls is a potential breakthrough for reducing the cost of wind energy. By providing undisturbed wind measurements up to 400m in front of the rotor, Lidar may provide an accurate update of the turbine inflow with a preview time of several seconds. Focusing on loads, several studies have evaluated potential reductions using integrated Lidar, either by simulation or full scale field testing.

  10. Doppler Lidar Wind Value-Added Product (Technical Report) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Wind Value-Added Product Citation Details In-Document Search Title: Doppler Lidar Wind ... Visit OSTI to utilize additional information resources in energy science and technology. A ...

  11. LiDAR At Glass Buttes Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Glass Buttes Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: LiDAR At Glass Buttes Area (DOE GTP) Exploration Activity Details...

  12. LiDAR At Gabbs Valley Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Gabbs Valley Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: LiDAR At Gabbs Valley Area (DOE GTP) Exploration Activity Details...

  13. LiDAR At Twenty-Nine Palms Area (Sabin, Et Al., 2010) | Open...

    Open Energy Info (EERE)

    Sabin, Et Al., 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: LiDAR At Twenty-Nine Palms Area (Sabin, Et Al., 2010) Exploration Activity...

  14. First detection of a noctilucent cloud by lidar

    SciTech Connect (OSTI)

    Hansen, G.; Serwazi, M.; von Zahn, U. )

    1989-12-01

    During the night of August 5/6, 1989 for the first time a noctilucent cloud (NLC) was detected and measured by a lidar instrument. The observations were made with ground-based narrow-band Na lidar located at Andenes, Norway (69{degree}N, 16{degree}E geographic coordinates). In wavelength the lidar was operated both at the Na D{sub 2} resonance line of 589 nm as well as 5 Doppler widths shifted away. The altitude resolution was 200 m. The NLC developed at about 22:20 UT, reached its maximum backscatter cross section at 23:05 UT and became unobservable at around 00:10 UT. During this period the NLC exhibited the following properties: (a) its altitude ranged between 83.4 and 82.2 km; (b) its full width at half maximum ranged between 1.4 and 0.3 km; (c) the ratio of measured backscatter intensity from the NLC to the calculated Rayleigh signal from 82.6 km reached 450; (d) its volume backscatter cross section maximized at 6.5 {times} 10{sup {minus}9} m{sup {minus}1} sr{sup {minus}1}.

  15. Lidar arc scan uncertainty reduction through scanning geometry optimization

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

    Wang, H.; Barthelmie, R. J.; Pryor, S. C.; Brown, G.

    2015-10-07

    Doppler lidars are frequently operated in a mode referred to as arc scans, wherein the lidar beam scans across a sector with a fixed elevation angle and the resulting measurements are used to derive an estimate of the n minute horizontal mean wind velocity (speed and direction). Previous studies have shown that the uncertainty in the measured wind speed originates from turbulent wind fluctuations and depends on the scan geometry (the arc span and the arc orientation). This paper is designed to provide guidance on optimal scan geometries for two key applications in the wind energy industry: wind turbine powermoreperformance analysis and annual energy production. We present a quantitative analysis of the retrieved wind speed uncertainty derived using a theoretical model with the assumption of isotropic and frozen turbulence, and observations from three sites that are onshore with flat terrain, onshore with complex terrain and offshore, respectively. The results from both the theoretical model and observations show that the uncertainty is scaled with the turbulence intensity such that the relative standard error on the 10 min mean wind speed is about 30 % of the turbulence intensity. The uncertainty in both retrieved wind speeds and derived wind energy production estimates can be reduced by aligning lidar beams with the dominant wind direction, increasing the arc span and lowering the number of beams per arc scan. Large arc spans should be used at sites with high turbulence intensity and/or large wind direction variation when arc scans are used for wind resource assessment.less

  16. Single Packaged Vertical Units | Department of Energy

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

    Single Packaged Vertical Units Single Packaged Vertical Units The Department of Energy (DOE) develops standardized data templates for reporting the results of tests conducted in accordance with current DOE test procedures. Templates may be used by third-party laboratories under contract with DOE that conduct testing in support of ENERGY STAR® verification, DOE rulemakings, and enforcement of the federal energy conservation standards. File Single Packaged Vertical Units -- v2.0 More Documents

  17. Category:Vertical Electrical Sounding Configurations | Open Energy...

    Open Energy Info (EERE)

    Vertical Electrical Sounding Configurations Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Vertical Electrical Sounding...

  18. Vertical Circuits Inc | Open Energy Information

    Open Energy Info (EERE)

    and intellectual property for the manufacture of low cost ultra high-speedhigh-density semiconductor components. References: Vertical Circuits, Inc.1 This article is a...

  19. Single Packaged Vertical Units | Department of Energy

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

    standards. File Single Packaged Vertical Units -- v2.0 More Documents & Publications Room Air Conditioners Commercial Refrigeration Equipment Commercial Refrigeration Equipment

  20. Vertical Flowmeter Logging | Open Energy Information

    Open Energy Info (EERE)

    Logging Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Vertical Flowmeter Logging Author U.S. Geological Survey Published USGS Groundwater...

  1. ARM - Evaluation Product - Convective Vertical Velocity

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

    In particular, vertical air motions associated with these processes are inherently linked to the life cycle of these convective systems and are therefore directly tied to their...

  2. Vertical Flowmeter Test | Open Energy Information

    Open Energy Info (EERE)

    Test Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Vertical Flowmeter Test Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration...

  3. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof)

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

    Williams, Christopher; Jensen, Mike

    2012-11-06

    This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

  4. ARM: ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  5. ARM: ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

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

    Karen Johnson; Michael Jensen

    ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  6. Vertical two chamber reaction furnace

    DOE Patents [OSTI]

    Blaugher, Richard D.

    1999-03-16

    A vertical two chamber reaction furnace. The furnace comprises a lower chamber having an independently operable first heating means for heating the lower chamber and a gas inlet means for admitting a gas to create an ambient atmosphere, and an upper chamber disposed above the lower chamber and having an independently operable second heating means for heating the upper chamber. Disposed between the lower chamber and the upper chamber is a vapor permeable diffusion partition. The upper chamber has a conveyor means for conveying a reactant there through. Of particular importance is the thallinating of long-length thallium-barium-calcium-copper oxide (TBCCO) or barium-calcium-copper oxide (BCCO) precursor tapes or wires conveyed through the upper chamber to thereby effectuate the deposition of vaporized thallium (being so vaporized as the first reactant in the lower chamber at a temperature between about 700.degree. and 800.degree. C.) on TBCCO or BCCO tape or wire (the second reactant) at its simultaneous annealing temperature in the upper chamber of about 800.degree. to 950.degree. C. to thereby replace thallium oxide lost from TBCCO tape or wire because of the high annealing temperature or to deposit thallium on BCCO tape or wire. Continuously moving the tape or wire provides a single-step process that effectuates production of long-length TBCCO superconducting product.

  7. Vertical two chamber reaction furnace

    DOE Patents [OSTI]

    Blaugher, R.D.

    1999-03-16

    A vertical two chamber reaction furnace is disclosed. The furnace comprises a lower chamber having an independently operable first heating means for heating the lower chamber and a gas inlet means for admitting a gas to create an ambient atmosphere, and an upper chamber disposed above the lower chamber and having an independently operable second heating means for heating the upper chamber. Disposed between the lower chamber and the upper chamber is a vapor permeable diffusion partition. The upper chamber has a conveyor means for conveying a reactant there through. Of particular importance is the thallinating of long-length thallium-barium-calcium copper oxide (TBCCO) or barium-calcium-copper oxide (BCCO) precursor tapes or wires conveyed through the upper chamber to thereby effectuate the deposition of vaporized thallium (being so vaporized as the first reactant in the lower chamber at a temperature between about 700 and 800 C) on TBCCO or BCCO tape or wire (the second reactant) at its simultaneous annealing temperature in the upper chamber of about 800 to 950 C to thereby replace thallium oxide lost from TBCCO tape or wire because of the high annealing temperature or to deposit thallium on BCCO tape or wire. Continuously moving the tape or wire provides a single-step process that effectuates production of long-length TBCCO superconducting product. 2 figs.

  8. Turbine Reliability and Operability Optimization through the use of Direct Detection Lidar Final Technical Report

    SciTech Connect (OSTI)

    Johnson, David K; Lewis, Matthew J; Pavlich, Jane C; Wright, Alan D; Johnson, Kathryn E; Pace, Andrew M

    2013-02-01

    The goal of this Department of Energy (DOE) project is to increase wind turbine efficiency and reliability with the use of a Light Detection and Ranging (LIDAR) system. The LIDAR provides wind speed and direction data that can be used to help mitigate the fatigue stress on the turbine blades and internal components caused by wind gusts, sub-optimal pointing and reactionary speed or RPM changes. This effort will have a significant impact on the operation and maintenance costs of turbines across the industry. During the course of the project, Michigan Aerospace Corporation (MAC) modified and tested a prototype direct detection wind LIDAR instrument; the resulting LIDAR design considered all aspects of wind turbine LIDAR operation from mounting, assembly, and environmental operating conditions to laser safety. Additionally, in co-operation with our partners, the National Renewable Energy Lab and the Colorado School of Mines, progress was made in LIDAR performance modeling as well as LIDAR feed forward control system modeling and simulation. The results of this investigation showed that using LIDAR measurements to change between baseline and extreme event controllers in a switching architecture can reduce damage equivalent loads on blades and tower, and produce higher mean power output due to fewer overspeed events. This DOE project has led to continued venture capital investment and engagement with leading turbine OEMs, wind farm developers, and wind farm owner/operators.

  9. Vertical transport and sources in flux models

    SciTech Connect (OSTI)

    Canavan, G.H.

    1997-01-01

    Vertical transport in flux models in examined and shown to reproduce expected limits for densities and fluxes. Disparities with catalog distributions are derived and inverted to find the sources required to rectify them.

  10. Vertically stabilized elongated cross-section tokamak

    DOE Patents [OSTI]

    Sheffield, George V.

    1977-01-01

    This invention provides a vertically stabilized, non-circular (minor) cross-section, toroidal plasma column characterized by an external separatrix. To this end, a specific poloidal coil means is added outside a toroidal plasma column containing an endless plasma current in a tokamak to produce a rectangular cross-section plasma column along the equilibrium axis of the plasma column. By elongating the spacing between the poloidal coil means the plasma cross-section is vertically elongated, while maintaining vertical stability, efficiently to increase the poloidal flux in linear proportion to the plasma cross-section height to achieve a much greater plasma volume than could be achieved with the heretofore known round cross-section plasma columns. Also, vertical stability is enhanced over an elliptical cross-section plasma column, and poloidal magnetic divertors are achieved.

  11. Using CO2 Lidar for Standoff Detection of a Perfluorocarbon Tracer in Air

    SciTech Connect (OSTI)

    Heiser,J.H.; Smith, S.; Sedlacek, A.

    2008-02-06

    The Tag, Track and Location System Program (TTL) is investigating the use of PFTs as tracers for tagging and tracking items of interest or fallen soldiers. In order for the tagging and tracking to be valuable there must be a location system that can detect the PFTs. This report details the development of an infrared lidar platform for standoff detection of PFTs released into the air from a tagged object or person. Furthering work performed using a table top lidar system in an indoor environment; a mobile mini lidar platform was assembled using an existing Raman lidar platform, a grating tunable CO{sub 2} IR laser, Judson HgCdTe detector and miscellaneous folding optics and electronics. The lidar achieved {approx}200 ppb-m sensitivity in laboratory and indoor testing and was then successfully demonstrated at an outdoor test. The lidar system was able to detect PFTs released into a vehicle from a distance of 100 meters. In its final, fully optimized configuration the lidar was capable of repeatedly detecting PFTs in the air released from tagged vehicles. Responses were immediate and clear. This report details the results of a proof-of-concept demonstration for standoff detection of a perfluorocarbon tracer (PFT) using infrared lidar. The project is part of the Tag, Track and Location System Program and was performed under a contract with Tracer Detection Technology Corp. with funding from the Office of Naval Research. A lidar capable of detecting PFT releases at distance was assembled by modifying an existing Raman lidar platform by incorporating a grating tunable CO{sub 2} IR laser, Judson HgCdTe detector and miscellaneous folding optics and electronics. The lidar achieved {approx}200 ppb-m sensitivity in laboratory and indoor testing and was successfully demonstrated at an outdoor test. The demonstration test (scripted by the sponsor) consisted of three parked cars, two of which were tagged with the PFT. The cars were located 70 (closest) to 100 meters (farthest) from the lidar (the lidar beam path was limited by site constraints and was {approx}100 meters). When one door of each of the cars was opened (sequentially), the lidar was clearly able to determine which vehicles had been tagged and which one was not. The lidar is probably capable of greater than 0.5 kilometer standoff distances based on the extreme amount of signal return achieved (so much that the system had to be de-tuned). The BNL lidar system, while optimized to the extent possible with available parts and budget, was not as sensitive as it could be. Steps to improve the lidar are detailed in this report and include using a better laser system (for more stable power output), dual wavelengths (to improve the sensitivity and allow common mode noise reduction and to allow the use of the lidar in a scanning configuration), heterodyning (for range resolved PFT detection) and an off-axis optical configuration (for improved near field sensitivity).

  12. An Evaluation of the Carbon Sequestration Potential of the Cambro-Ordovician Strata of the Illinois and Michigan Basins: Part 1: Evaluation of Phase 2 CO{sub 2} Injection Testing in the Deep Saline Gunter Sandstone Reservoir (Cambro-Ordovician Knox Group), Marvin Blan No. 1 Hancock County, Kentucky Part 2: Time-lapse Three-Dimensional Vertical Seismic Profile (3D-VSP) of Sequestration Target Interval with Injected Fluids

    SciTech Connect (OSTI)

    Richard Bowersox; John Hickman; Hannes Leetaru

    2012-12-01

    Part 1 of this report focuses on results of the western Kentucky carbon storage test, and provides a basis for evaluating injection and storage of supercritical CO{sub 2} in Cambro-Ordovician carbonate reservoirs throughout the U.S. Midcontinent. This test demonstrated that the Cambro- Ordovician Knox Group, including the Beekmantown Dolomite, Gunter Sandstone, and Copper Ridge Dolomite in stratigraphic succession from shallowest to deepest, had reservoir properties suitable for supercritical CO{sub 2} storage in a deep saline reservoir hosted in carbonate rocks, and that strata with properties sufficient for long-term confinement of supercritical CO{sub 2} were present in the deep subsurface. Injection testing with brine and CO{sub 2} was completed in two phases. The first phase, a joint project by the Kentucky Geological Survey and the Western Kentucky Carbon Storage Foundation, drilled the Marvin Blan No. 1 carbon storage research well and tested the entire Knox Group section in the open borehole â?? including the Beekmantown Dolomite, Gunter Sandstone, and Copper Ridge Dolomite â?? at 1152â??2255 m, below casing cemented at 1116 m. During Phase 1 injection testing, most of the 297 tonnes of supercritical CO{sub 2} was displaced into porous and permeable sections of the lowermost Beekmantown below 1463 m and Gunter. The wellbore was then temporarily abandoned with a retrievable bridge plug in casing at 1105 m and two downhole pressure-temperature monitoring gauges below the bridge plug pending subsequent testing. Pressure and temperature data were recorded every minute for slightly more than a year, providing a unique record of subsurface reservoir conditions in the Knox. In contrast, Phase 2 testing, this study, tested a mechanically-isolated dolomitic-sandstone interval in the Gunter. Operations in the Phase 2 testing program commenced with retrieval of the bridge plug and long-term pressure gauges, followed by mechanical isolation of the Gunter by plugging the wellbore with cement below the injection zone at 1605.7 m, then cementing a section of a 14-cm casing at 1470.4â??1535.6. The resultant 70.1-m test interval at 1535.6â??1605.7 m included nearly all of the Gunter sandstone facies. During the Phase 2 injection, 333 tonnes of CO{sub 2} were injected into the thick, lower sand section in the sandy member of the Gunter. Following the completion of testing, the injection zone below casing at 1116 m in the Marvin Blan No. 1 well, and wellbore below 305 m was permanently abandoned with cement plugs and the wellsite reclaimed. The range of most-likely storage capacities found in the Knox in the Marvin Blan No. 1 is 1000 tonnes per surface hectare in the Phase 2 Gunter interval to 8685 tonnes per surface hectare if the entire Knox section were available including the fractured interval near the base of the Copper Ridge. By itself the Gunter lacks sufficient reservoir volume to be considered for CO{sub 2} storage, although it may provide up to 18% of the reservoir volume available in the Knox. Regional extrapolation of CO{sub 2} storage potential based on the results of a single well test can be problematic, although indirect evidence of porosity and permeability can be demonstrated in the form of active saltwater-disposal wells injecting into the Knox. The western Kentucky region suitable for CO{sub 2} storage in the Knox is limited updip, to the east and south, by the depth at which the base of the Maquoketa shale lies above the depth required to ensure storage of CO{sub 2} in its supercritical state and the deepest a commercial well might be drilled for CO{sub 2} storage. The resulting prospective region has an area of approximately 15,600 km{sup 2}, beyond which it is unlikely that suitable Knox reservoirs may be developed. Faults in the subsurface, which serve as conduits for CO{sub 2} migration and compromise sealing strata, may mitigate the area with Knox reservoirs suitable for CO{sub 2} storage. The results of the injection tests in the Marvin Blan No. 1, however, provide a basis for evaluating supercritical CO{sub 2} storage in Cambro-Ordovician carbonate reservoirs throughout the Midcontinent. Reservoir seals were evaluated in the Knox and overlying strata. Within the Knox, permeabilities measured in vertical core plugs from the Beekmantown and Copper Ridge suggest that intraformational seals may problematic. Three stratigraphic intervals overlying the Knox in the Marvin Blan No. 1 well may provide seals for potential CO{sub 2} storage reservoirs in western Kentucky: Dutchtown Limestone, Black River Group, and Maquoketa Shale. The Dutchtown and Black River had permeabilities suggest that these intervals may act as secondary sealing strata. The primary reservoir seal for the Knox, however, is the Maquoketa. Maximum seal capacity calculated from permeabilities measured in vertical core plugs from the Maquoketa exceeded the net reservoir height in the Knox by about two orders of magnitude. Rock strength measured in core plugs from the Maquoketa suggest that it is unlikely that any CO{sub 2} migrating from the Knox would have sufficient pressure to fracture the Maquoketa. Part 2 of this report reviews the results of vertical seismic profiling in the Marvin Blan No. 1 well to model post-injection CO{sub 2} plume migration. Two three-dimensional vertical seismic profiles (3D-VSPâ??s) were acquired at the Kentucky Geological Survey Marvin Blan No. 1 CO{sub 2} sequestration research well, Hancock County, Kentucky. The initial (pre-injection) survey was performed on September 15â??16, 2010. This was followed by the injection of 333 tonnes of supercritical CO{sub 2} and then 584 m3 of 2% KCl water (to displace the remaining CO{sub 2} in the wellbore) on September 22, 2010. After injection, the well was shut in with a downhole pressure of 17.5 MPa at the injected reservoir depth of 1545.3 m. The second 3D-VSP was acquired on September 25â??26, 2010. These two 3D-VSP's were combined to produce a time-lapse 3D-VSP data volume in an attempt to monitor and image the subsurface changes caused by the injection. Less than optimum surface access and ambient subsurface noise from a nearby active petroleum pipeline hampered quality of the data, resulting in the inability to image the CO{sub 2} plume in the subsurface. However, some changes in the seismic response post-injection (both wavelet character and an apparent seismic "pull-down" within the injection zone) are interpreted to be a result of the injection process and imply that the technique could still be valid under different circumstances.

  13. NOAA lidar observations during the TMDBCE lethality test at WSMR on 5 February 1993. Technical memo

    SciTech Connect (OSTI)

    Post, M.J.; Olivier, L.D.

    1996-03-01

    The National Oceanic and Atomospheric Administration`s (NOAA) pulsed CO2 Doppler lidar successfully tracked a cloud of liquid triethyl phosphate (TEP) released from an incoming Storm missile. By concentrating on the lowest portion of the cloud, information about the descent of the TEP cloud was obtained. TEP cloud bottom height and a ground track showing the motion of the cloud relative to the lidar were plotted. In addition, lidar measurements were used to guide an instrumented air craft into the cloud. Improvements for future tests were defined.

  14. Controlled ion implant damage profile for etching

    DOE Patents [OSTI]

    Arnold, Jr., George W.; Ashby, Carol I. H.; Brannon, Paul J.

    1990-01-01

    A process for etching a material such as LiNbO.sub.3 by implanting ions having a plurality of different kinetic energies in an area to be etched, and then contacting the ion implanted area with an etchant. The various energies of the ions are selected to produce implant damage substantially uniformly throughout the entire depth of the zone to be etched, thus tailoring the vertical profile of the damaged zone.

  15. Herrenknecht Vertical GmbH | Open Energy Information

    Open Energy Info (EERE)

    Specialized company that builds vertical drilling equipment for the development of geothermal resources. References: Herrenknecht Vertical GmbH1 This article is a stub....

  16. User's manual for the vertical axis wind turbine performance...

    Office of Scientific and Technical Information (OSTI)

    for the vertical axis wind turbine performance computer code darter Citation Details In-Document Search Title: User's manual for the vertical axis wind turbine performance ...

  17. Ultraviolet high-spectral-resolution Doppler lidar for measuring wind field and aerosol optical properties

    SciTech Connect (OSTI)

    Imaki, Masaharu; Kobayashi, Takao

    2005-10-01

    An ultraviolet incoherent Doppler lidar that incorporates the high-spectral-resolution (HSR) technique has been developed for measuring the wind field and aerosol optical properties in the troposphere. An injection seeded and tripled Nd:YAG laser at an ultraviolet wavelength of 355 nm was used in the lidar system. The HRS technique can resolve the aerosol Mie backscatter and the molecular Rayleigh backscatter to derive the signal components. By detecting the Mie backscatter, a great increase in the Doppler filter sensitivity was realized compared to the conventional incoherent Doppler lidars that detected the Rayleigh backscatter. The wind velocity distribution in a two-dimensional cross section was measured. By using the HSR technique, multifunction and absolute value measurements were realized for aerosol extinction, and volume backscatter coefficients; the laser beam transmittance, the lidar ratio, and the backscatter ratio are derived from these measurements.

  18. Structural Analysis of Southern Dixie Valley using LiDAR and...

    Open Energy Info (EERE)

    and characterize young faults, high resolution LiDAR and 1:12,000-scale low-sun-angle (LSA) aerial photography was acquired for the NAS Fallon study area. The LSA photos were...

  19. Performance of a VME-based parallel processing LIDAR data acquisition system (summary)

    SciTech Connect (OSTI)

    Moore, K.; Buttler, B.; Caffrey, M.; Soriano, C.

    1995-05-01

    It may be possible to make accurate real time, autonomous, 2 and 3 dimensional wind measurements remotely with an elastic backscatter Light Detection and Ranging (LIDAR) system by incorporating digital parallel processing hardware into the data acquisition system. In this paper, we report the performance of a commercially available digital parallel processing system in implementing the maximum correlation technique for wind sensing using actual LIDAR data. Timing and numerical accuracy are benchmarked against a standard microprocessor impementation.

  20. Retrieval of Urban Boundary Layer Structures from Doppler Lidar Data. Part I: Accuracy Assessment

    SciTech Connect (OSTI)

    Xia, Quanxin; Lin, Ching Long; Calhoun, Ron; Newsom, Rob K.

    2008-01-01

    Two coherent Doppler lidars from the US Army Research Laboratory (ARL) and Arizona State University (ASU) were deployed in the Joint Urban 2003 atmospheric dispersion field experiment (JU2003) held in Oklahoma City. The dual lidar data are used to evaluate the accuracy of the four-dimensional variational data assimilation (4DVAR) method and identify the coherent flow structures in the urban boundary layer. The objectives of the study are three-fold. The first objective is to examine the effect of eddy viscosity models on the quality of retrieved velocity data. The second objective is to determine the fidelity of single-lidar 4DVAR and evaluate the difference between single- and dual-lidar retrievals. The third objective is to correlate the retrieved flow structures with the ground building data. It is found that the approach of treating eddy viscosity as part of control variables yields better results than the approach of prescribing viscosity. The ARL single-lidar 4DVAR is able to retrieve radial velocity fields with an accuracy of 98% in the along-beam direction and 80-90% in the cross-beam direction. For the dual-lidar 4DVAR, the accuracy of retrieved radial velocity in the ARL cross-beam direction improves to 90-94%. By using the dual-lidar retrieved data as a reference, the single-lidar 4DVAR is able to recover fluctuating velocity fields with 70-80% accuracy in the along-beam direction and 60-70% accuracy in the cross-beam direction. Large-scale convective roll structures are found in the vicinity of downtown airpark and parks. Vortical structures are identified near the business district. Strong updrafts and downdrafts are also found above a cluster of restaurants.

  1. Novel polarization-sensitive micropulse lidar measurement technique

    SciTech Connect (OSTI)

    Flynn, Connor J.; Mendoza, Albert; Zheng, Yunhui; Mathur, Savyasachee

    2007-03-19

    Polarization-sensitive detection of elastic backscatter is useful for detection of cloud phase and depolarizing aerosols. The U.S. DOE Atmospheric Radiation Measurements (ARM) Program has deployed micropulse lidar (MPL) for over a decade, but without polarized detection. Adding an actively-controlled liquid crystal retarder provides the capability to identify depolarizing particles by alternately transmitting linearly and circularly polarized light. This represents a departure from established techniques which transmit exclusively linear polarization or exclusively circular polarization. Mueller matrix calculations yield simple relationships between the well-known linear depolarization ratio δlinear, the circular depolarization ratio δcirc, and the hybrid MPL depolarization ratio δMPL. This research was supported by the Office of Biological and Environmental Research of the U.S. Department of Energy as part of the Atmospheric Radiation Measurement Program.

  2. Cooperation on Lidar for Improved Wind Turbine Performance. Cooperative Research and Development Final Report, CRADA Number CRD-13-521

    SciTech Connect (OSTI)

    Fleming, Paul

    2015-05-12

    Research into the use of lidar for improved wind turbine performance is an area of considerable interest. Lidars have been proposed to analyze and improve wind turbine pitch control performance, yaw alignment and control performance, as well as to improve power curve assessments. In this CRADA, NREL, NRG Systems, Inc. (“NRG”) and Avent Lidar Technology SAS (“Avent”) will collaborate on testing these concepts.

  3. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer ...

  4. LANSCE | News & Media | Profiles

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

    background News Multimedia Events Profiles Highlights Activity Reports The Pulse User Program Headlines News & Media dotline LANSCE Profiles Kurt Schoenberg: Steering LANSCE for ...

  5. Continuous Water Vapor Profiles for the Fixed Atmospheric Radiation Measurement Sites

    SciTech Connect (OSTI)

    Jensen, M; Troyan, D

    2006-01-09

    The Atmospheric Radiation Measurement (ARM) Program defined a specific metric for the first quarter of Fiscal Year 2006 to complete a continuous time series of the vertical profile of water vapor for selected 30-day periods from each of the fixed ARM sites. In order to accomplish this metric, a new technique devised to incorporate radiosonde data, microwave radiometer data and analysis information from numerical weather forecast models has been developed. The product of this analysis, referred to as the merged sounding value-added product, includes vertical profiles of atmospheric water vapor concentration and several other important thermodynamic state variables at 1-minute time intervals and 266 vertical levels.

  6. Electrically floating, near vertical incidence, skywave antenna

    DOE Patents [OSTI]

    Anderson, Allen A.; Kaser, Timothy G.; Tremblay, Paul A.; Mays, Belva L.

    2014-07-08

    An Electrically Floating, Near Vertical Incidence, Skywave (NVIS) Antenna comprising an antenna element, a floating ground element, and a grounding element. At least part of said floating ground element is positioned between said antenna element and said grounding element. The antenna is separated from the floating ground element and the grounding element by one or more electrical insulators. The floating ground element is separated from said antenna and said grounding element by one or more electrical insulators.

  7. Lidar-measured winds from space: A key component for weather and climate prediction

    SciTech Connect (OSTI)

    Baker, W.E.; Emmitt, G.D.; Robertson, F.

    1995-06-01

    The deployment of a space-based Doppler lidar would provide information that is fundamental to advancing the understanding and prediction of weather and climate. This paper reviews the concepts of wind measurement by Doppler lidar, highlights the results of some observing system simulation experiments with lidar winds, and discusses the important advances in earth system science anticipated with lidar winds. Observing system simulation experiments, conducted using two different general circulation models, have shown (1) that there is a significant improvement in the forecast accuracy over the Southern Hemisphere and tropical oceans resulting from the assimilation of simulated satellite wind data, and (2) that wind data are significantly more effective than temperature or moisture data in controlling analysis error. Because accurate wind observations are currently almost entirely unavailable for the vast majority of tropical cyclones worldwide, lidar winds have the potential to substantially improve tropical cyclone forecasts. Similarly, to improve water vapor flux divergence calculations, a direct measure of the ageostrophic wind is needed since the present level of uncertainty cannot be reduced with better temperature and moisture soundings alone. 99 refs., 10 figs., 3 tabs.

  8. Incoherent Doppler lidar for measurement of atmospheric winds

    SciTech Connect (OSTI)

    Skinner, W.R.; Hays, P.B.

    1994-12-31

    A conceptual space-based incoherent Doppler lidar wind measurement system is described. The system employs a Fabry-Perot interferometer to detect the Doppler shift of the backscattered laser line, and uses two channels, one for aerosol and one for molecular backscatter. Previous investigations have considered only the aerosol backscatter as the means to determine the Doppler shift. Several studies have demonstrated that aerosol backscatter, particularly over the oceans and in the southern hemisphere, can be extremely low in the free troposphere. The two channel configuration permits acceptable measurements regardless of the aerosol loading. The system operates in the near UV, which is eye safe and provides a large molecular backscatter. With a 20 Watt laser, 1 meter diameter collecting telescope, and 5 seconds integration time, the horizontal line of sight wind errors would be less than 1 m/s with aerosols typical of a continental loading from the surface to the stratosphere. Areas of low aerosol loading would have errors of about 3 m/s.

  9. Thermodynamic phase profiles of optically thin midlatitude cloud and their relation to temperature

    SciTech Connect (OSTI)

    Naud, C. M.; Del Genio, Anthony D.; Haeffelin, M.; Morille, Y.; Noel, V.; Dupont, Jean-Charles; Turner, David D.; Lo, Chaomei; Comstock, Jennifer M.

    2010-06-03

    Winter cloud phase and temperature profiles derived from ground-based lidar depolarization and radiosonde measurements are analyzed for two midlatitude locations: the United States Atmospheric Radiation Measurement Program Southern Great Plains (SGP) site and the Site Instrumental de Recherche par Télédétection Atmosphérique (SIRTA) in France. Because lidars are attenuated in optically thick clouds, the dataset only includes optically thin clouds (optical thickness < 3). At SGP, 57% of the clouds observed with the lidar in the temperature range 233-273 K are either completely liquid or completely glaciated, while at SIRTA only 42% of the observed clouds are single phase, based on a depolarization ratio threshold of 11% for differentiating liquid from ice. Most optically thin mixed phase clouds show an ice layer at cloud top, and clouds with liquid at cloud top are less frequent. The relationship between ice phase occurrence and temperature only slightly changes between cloud base and top. At both sites liquid is more prevalent at colder temperatures than has been found previously in aircraft flights through frontal clouds of greater optical thicknesses. Liquid in clouds persists to colder temperatures at SGP than SIRTA. This information on the average temperatures of mixed phase clouds at both locations complements earlier passive satellite remote sensing measurements that sample cloud phase near cloud top and for a wider range of cloud optical thicknesses.

  10. Field testing of feedforward collective pitch control on the CART2 using a nacelle-based Lidar scanner

    SciTech Connect (OSTI)

    Schlipf, David; Fleming, Paul; Haizmann, Florian; Scholbrock, Andrew; Hofsass, Martin; Wright, Alan; Cheng, Po Wen

    2014-01-01

    This work presents the results from a field test of LIDAR assisted collective pitch control using a scanning LIDAR device installed on the nacelle of a mid-scale research turbine. A nonlinear feedforward controller is extended by an adaptive filter to remove all uncorrelated frequencies of the wind speed measurement to avoid unnecessary control action. Positive effects on the rotor speed regulation as well as on tower, blade and shaft loads have been observed in the case that the previous measured correlation and timing between the wind preview and the turbine reaction are accomplish. The feedforward controller had negative impact, when the LIDAR measurement was disturbed by obstacles in front of the turbine. This work proves, that LIDAR is valuable tool for wind turbine control not only in simulations but also under real conditions. Moreover, the paper shows that further understanding of the relationship between the wind measurement and the turbine reaction is crucial to improve LIDAR assisted control of wind turbines.

  11. Characterization of Vertical Velocity and Drop Size Distribution Parameters in Widespread Precipitation at ARM Facilities

    SciTech Connect (OSTI)

    Giangrande S. E.; Luke, E. P.; Kollias, P.

    2012-02-01

    Extended, high-resolution measurements of vertical air motion and median volume drop diameter D0 in widespread precipitation from three diverse Atmospheric Radiation Measurement Program (ARM) locations [Lamont, Oklahoma, Southern Great Plains site (SGP); Niamey, Niger; and Black Forest, Germany] are presented. The analysis indicates a weak (0-10 cm{sup -1}) downward air motion beneath the melting layer for all three regions, a magnitude that is to within the typical uncertainty of the retrieval methods. On average, the hourly estimated standard deviation of the vertical air motion is 0.25 m s{sup -1} with no pronounced vertical structure. Profiles of D0 vary according to region and rainfall rate. The standard deviation of 1-min-averaged D0 profiles for isolated rainfall rate intervals is 0.3-0.4 mm. Additional insights into the form of the raindrop size distribution are provided using available dual-frequency Doppler velocity observations at SGP. The analysis suggests that gamma functions better explain paired velocity observations and radar retrievals for the Oklahoma dataset. This study will be useful in assessing uncertainties introduced in the measurement of precipitation parameters from ground-based and spaceborne remote sensors that are due to small-scale variability.

  12. ARM - Evaluation Product - Vertical Air Motion during Large-Scale...

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

    ProductsVertical Air Motion during Large-Scale Stratiform Rain ARM Data Discovery Browse ... Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Vertical Air ...

  13. Raman lidar/AERI PBL Height Product (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    AERI measurements of downwelling radiance are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The ...

  14. Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer Data Explorer Search Results Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals Title: Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals Time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of

  15. Vertical deformation at western part of Sumatra

    SciTech Connect (OSTI)

    Febriyani, Caroline Prijatna, Kosasih Meilano, Irwan

    2015-04-24

    This research tries to make advancement in GPS signal processing to estimate the interseismic vertical deformation field at western part of Sumatra Island. The data derived by Continuous Global Positioning System (CGPS) from Badan Informasi Geospasial (BIG) between 2010 and 2012. GPS Analyze at Massachusetts Institute of Technology (GAMIT) software and Global Kalman Filter (GLOBK) software are used to process the GPS signal to estimate the vertical velocities of the CGPS station. In order to minimize noise due to atmospheric delay, Vienna Mapping Function 1 (VMF1) is used as atmospheric parameter model and include daily IONEX file provided by the Center for Orbit Determination in Europe (CODE) as well. It improves GAMIT daily position accuracy up to 0.8 mm. In a second step of processing, the GLOBK is used in order to estimate site positions and velocities in the ITRF08 reference frame. The result shows that the uncertainties of estimated displacement velocity at all CGPS stations are smaller than 1.5 mm/yr. The subsided deformation patterns are seen at the northern and southern part of west Sumatra. The vertical deformation at northern part of west Sumatra indicates postseismic phase associated with the 2010 and 2012 Northern Sumatra earthquakes and also the long-term postseismic associated with the 2004 and 2005 Northern Sumatra earthquakes. The uplifted deformation patterns are seen from Bukit Tinggi to Seblat which indicate a long-term interseismic phase after the 2007 Bengkulu earthquake and 2010 Mentawai earthquake. GANO station shows a subsidence at rate 12.25 mm/yr, indicating the overriding Indo-Australia Plate which is dragged down by the subducting Southeast Asian Plate.

  16. Experimental comparison of retrofit vertical air collectors

    SciTech Connect (OSTI)

    Wilson, A.T.; Stickney, B.L.

    1980-01-01

    Two vertical air collector systems were built and monitored. One of these is a back-pass collector in which a layer of sheet metal serves as the absorber plate. The other is a front pass collector in which the wall surface serves as the absorber plate. The results demonstrate the importance of considering heat moving through walls even when storage of heat in the wall is of limited significance. With poorly insulated walls, heat is better able to move through the wall with a front pass collector, indicating that this type of collector is a more effective heating system.

  17. Long wavelength vertical cavity surface emitting laser

    DOE Patents [OSTI]

    Choquette, Kent D.; Klem, John F.

    2005-08-16

    Selectively oxidized vertical cavity lasers emitting near 1300 nm using InGaAsN quantum wells are reported for the first time which operate continuous wave below, at and above room temperature. The lasers employ two n-type Al.sub.0.94 Ga.sub.0.06 As/GaAs distributed Bragg reflectors each with a selectively oxidized current aperture adjacent to the active region, and the top output mirror contains a tunnel junction to inject holes into the active region. Continuous wave single mode lasing is observed up to 55.degree. C.

  18. Lidar Comparison for GoAmazon 2014/15 Field Campaign Report (Program

    Office of Scientific and Technical Information (OSTI)

    Document) | SciTech Connect SciTech Connect Search Results Program Document: Lidar Comparison for GoAmazon 2014/15 Field Campaign Report Citation Details In-Document Search Title: Lidar Comparison for GoAmazon 2014/15 Field Campaign Report The Observations and Modeling of the Green Ocean Amazon 2014/15 (GoAmazon 2014/15) experiment uses the city of Manaus, Amazonas (AM), Brazil, in the setting of the surrounding green ocean as a natural laboratory for understanding the effects of present and

  19. Prefabricated vertical drains flow resistance under vacuum conditions

    SciTech Connect (OSTI)

    Quaranta, J.D.; Gabr, M.A.

    2000-01-01

    The results of experimental research are presented and discussed with focus on the internal well resistance of prefabricated vertical drains (PVD) under vacuum-induced water flow. Measured results included fluid flow rates for two different cross-sectional hydraulic profiles (Types 1 and 2 PVDs). Experimental results indicated linear relationship, independent of the PVD widths, between extracted fluid velocity and the applied hydraulic gradient. Data showed a laminar flow regime to predominate for test velocities corresponding to hydraulic gradients {lt}0.5. The larger nominal hydraulic radius of the Type 2 PVD is credited with providing a flow rate equal to approximately 3.2 times that of the Type 1 PVD at approximately the same operating total head. There was no apparent dependency of the transmissivity {theta} on the width or lengths (3, 4, and 5 m) of the PVDs tested. In the case of the 100-mm-wide Type 1 PVD, {theta} = 618 mm{sup 2}/s was estimated from the measured data versus {theta} = 1,996 mm{sup 2}/s for Type 2 PVD with the same dimensions.

  20. Kink modes and surface currents associated with vertical displacement events

    SciTech Connect (OSTI)

    Manickam, Janardhan; Boozer, Allen; Gerhardt, Stefan

    2012-08-15

    The fast termination phase of a vertical displacement event (VDE) in a tokamak is modeled as a sequence of shrinking equilibria, where the core current profile remains constant so that the safety-factor at the axis, q{sub axis}, remains fixed and the q{sub edge} systematically decreases. At some point, the n = 1 kink mode is destabilized. Kink modes distort the magnetic field lines outside the plasma, and surface currents are required to nullify the normal component of the B-field at the plasma boundary and maintain equilibrium at finite pressure. If the plasma touches a conductor, the current can be transferred to the conductor, and may be measurable by the halo current monitors. This report describes a practical method to model the plasma as it evolves during a VDE, and determine the surface currents, needed to maintain equilibrium. The main results are that the onset conditions for the disruption are that the growth-rate of the n = 1 kink exceeds half the Alfven time and the associated surface current needed to maintain equilibrium exceeds one half of the core plasma current. This occurs when q{sub edge} drops below a low integer, usually 2. Application to NSTX provides favorable comparison with non-axisymmetric halo-current measurements. The model is also applied to ITER and shows that the 2/1 mode is projected to be the most likely cause of the final disruption.

  1. Metrology for x-ray telescope mirrors in a vertical configuration

    SciTech Connect (OSTI)

    Li, Haizhang; Li, Xiaodan; Grindel, M.W.

    1995-09-01

    Mirrors used in x-ray telescope systems for observations outside of the earth`s atmosphere are usually made of several thin nested shells, each formed by a pair of paraboloidal and hyperboloidal surfaces. The thin shells are very susceptible to self-weight deflection caused by gravity and are nearly impossible to test by conventional interferometric techniques. The metrology requirements for these mirrors are extremely challenging. This paper presents a prototype of a Vertical Scanning Long Trace Profiler (VSLTP) which is optimized to measure the surface figure of x-ray telescope mirrors in a vertical orientation. The optical system of the VSLTP is described. Experimental results from measurements on an x-ray telescope mandrel and tests of the accuracy and repeatability of the prototype VSLTP are presented. The prototype instrument has achieved a height measurement accuracy of about 50 nanometers with a repeatability of better than 20 nanometers, and a slope measurement accuracy of about 1 microradian.

  2. GE/NOMADICS IN-WELL MONITORING SYSTEM FOR VERTICAL PROFILING OF DNAPL CONTAMINANTS

    SciTech Connect (OSTI)

    Ronald E. Shaffer; Radislav Potyralio; Joseph Salvo; Timothy Sivavec; Lloyd Salsman

    2003-04-01

    This report describes the Phase I effort to develop an Automated In Well Monitoring System (AIMS) for in situ detection of chlorinated volatile organic compounds such as trichloroethylene (TCE) and tetrachloroethylene (PCE) in groundwater. AIMS is composed of 3 primary components: (a) sensor probe, (b) instrument delivery system, and (c) communication/recharging station. The sensor probe utilizes an array of thickness shear mode (TSM) sensors coated with chemically-sensitive polymer films provides a low-cost, highly sensitive microsensor platform for detection and quantification. The instrument delivery system is used to position the sensor probe in 2 inch or larger groundwater monitoring wells. A communication/recharging station provides wireless battery recharging and communication to enable a fully automated system. A calibration curve for TCE in water was built using data collected in the laboratory. The detection limit of the sensor probe was 6.7 ppb ({micro}g/L) for TCE in water. A preliminary field test was conducted at a GE remediation location and a pilot field test was performed at the DOE Savannah River Site (SRS). The AIMS system was demonstrated in an uncontaminated (i.e., ''clean'') 2-inch well and in a 4-inch well containing 163.5 ppb of TCE. Repeat measurements at the two wells indicated excellent day-to-day reproducibility. Significant differences in the sensor responses were noted between the two types of wells but they did not closely match the laboratory calibration data. The robustness of the system presented numerous challenges for field work and limited the scope of the SRS pilot field test. However, the unique combination of trace detection (detection limits near the MCL, minimum concentration level) and size (operations in 2-inch or larger groundwater wells) is demonstration of the promise of this technology for long-term monitoring (LTM) applications or rapid site characterization. Using the lessons learned from the pilot field test, a number of design changes are proposed to increase the robustness of the system for extended field studies and commercialization.

  3. ARM - Publications: Science Team Meeting Documents

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

    A High Spectral Resolution Lidar for Long-Term Arctic Deployment Eloranta, E. W., Razenkov, I. A., Garcia, J. P., and Hedrick, J. P., University of Wisconsin-Madison Thirteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting A new High Spectral Resolution Lidar (HSRL) has been constructed for long-term operation in the Arctic. Vertical profiles of optical depth, scattering cross section, and depolarization will be observed. Unlike conventional lidar measurements, HSRL measurements

  4. ARM - Data Announcements Article

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

    Derived Wind Profile Data from Doppler Lidar Ready for Review Bookmark and Share Height-time display of wind speed (colors) and direction (arrows) from the Doppler lidar at the Southern Great Plains site for October 4, 2012. Height-time display of wind speed (colors) and direction (arrows) from the Doppler lidar at the Southern Great Plains site for October 4, 2012. Vertically resolved wind measurements are crucial for numerical weather prediction and for modeling pollutant and aerosol

  5. ARM - Facility News Article

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

    Upgrades to Raman Lidar Backup Laser Improve Reliability Bookmark and Share The Raman Lidar is an active, ground-based laser remote sensing instrument that measures vertical profiles of water-vapor mixing ratio and several cloud- and aerosol-related quantities. In March 2004, upgrades to a second (back-up) laser for the Raman Lidar at the ARM Climate Research Facility's Southern Great Plains (SGP) locale were completed, concluding a complex effort that began more than a year ago. Upgrades

  6. Effective Higgs vertices in the generic MSSM

    SciTech Connect (OSTI)

    Crivellin, Andreas

    2011-03-01

    In this article we consider chirally enhanced corrections to Higgs vertices in the most general MSSM. We include the contributions stemming from bilinear terms, from the trilinear A terms, and from their nonholomorphic analogues, the A{sup '} terms, which couple squarks to the ''wrong'' Higgs field. We perform a consistent renormalization of the Higgs vertices beyond the decoupling limit (M{sub SUSY{yields}{infinity}}), using a purely diagrammatic approach. The cancellation of the different contributions in and beyond the decoupling limit is discussed and the possible size of decoupling effects which occur if the supersymmetry particles are not much heavier than the electroweak scale are examined. In the decoupling limit we recover the results obtained in the effective-field-theory approach. For the nonholomorphic A{sup '} terms we find the well known tan{beta} enhancement in the down sector similar to the one for terms proportional to {mu}. Because of the a priori generic flavor structure of these trilinear terms large flavor-changing neutral Higgs couplings can be induced. We also discover new tan{beta} enhanced contributions involving the usual holomorphic A terms, which were not discussed before in the literature. These corrections occur only if also flavor-diagonal nonholomorphic corrections to the Higgs couplings are present. This reflects the fact that the A terms, and also the chirality-changing self-energies, are physical quantities and cannot be absorbed into renormalization constants.

  7. Control system for a vertical axis windmill

    DOE Patents [OSTI]

    Brulle, Robert V.

    1983-10-18

    A vertical axis windmill having a rotating structure is provided with a series of articulated vertical blades whose positions are controlled to maintain a constant RPM for the rotating structure, when wind speed is sufficient. A microprocessor controller is used to process information on wind speed, wind direction and RPM of the rotating structure to develop an electrical signal for establishing blade position. The preferred embodiment of the invention, when connected to a utility grid, is designed to generate 40 kilowatts of power when exposed to a 20 mile per hour wind. The control system for the windmill includes electrical blade actuators that modulate the blades of the rotating structure. Blade modulation controls the blade angle of attack, which in turn controls the RPM of the rotor. In the preferred embodiment, the microprocessor controller provides the operation logic and control functions. A wind speed sensor provides inputs to start or stop the windmill, and a wind direction sensor is used to keep the blade flip region at 90.degree. and 270.degree. to the wind. The control system is designed to maintain constant rotor RPM when wind speed is between 10 and 40 miles per hour.

  8. High vertical resolution crosswell seismic imaging

    DOE Patents [OSTI]

    Lazaratos, Spyridon K.

    1999-12-07

    A method for producing high vertical resolution seismic images from crosswell data is disclosed. In accordance with one aspect of the disclosure, a set of vertically spaced, generally horizontally extending continuous layers and associated nodes are defined within a region between two boreholes. The specific number of nodes is selected such that the value of a particular characteristic of the subterranean region at each of the nodes is one which can be determined from the seismic data. Once values are established at the nodes, values of the particular characteristic are assigned to positions between the node points of each layer based on the values at node within that layer and without regard to the values at node points within any other layer. A seismic map is produced using the node values and the assigned values therebetween. In accordance with another aspect of the disclosure, an approximate model of the region is established using direct arrival traveltime data. Thereafter, the approximate model is adjusted using reflected arrival data. In accordance with still another aspect of the disclosure, correction is provided for well deviation. An associated technique which provides improvements in ray tracing is also disclosed.

  9. Cloud properties derived from two lidars over the ARM SGP site

    SciTech Connect (OSTI)

    Dupont, Jean-Charles; Haeffelin, Martial; Morille, Y.; Comstock, Jennifer M.; Flynn, Connor J.; Long, Charles N.; Sivaraman, Chitra; Newsom, Rob K.

    2011-02-16

    [1] Active remote sensors such as lidars or radars can be used with other data to quantify the cloud properties at regional scale and at global scale (Dupont et al., 2009). Relative to radar, lidar remote sensing is sensitive to very thin and high clouds but has a significant limitation due to signal attenuation in the ability to precisely quantify the properties of clouds with a 20 cloud optical thickness larger than 3. In this study, 10-years of backscatter lidar signal data are analysed by a unique algorithm called STRucture of ATmosphere (STRAT, Morille et al., 2007). We apply the STRAT algorithm to data from both the collocated Micropulse lidar (MPL) and a Raman lidar (RL) at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site between 1998 and 2009. Raw backscatter lidar signal is processed and 25 corrections for detector deadtime, afterpulse, and overlap are applied. (Campbell et al.) The cloud properties for all levels of clouds are derived and distributions of cloud base height (CBH), top height (CTH), physical cloud thickness (CT), and optical thickness (COT) from local statistics are compared. The goal of this study is (1) to establish a climatology of macrophysical and optical properties for all levels of clouds observed over the ARM SGP site 30 and (2) to estimate the discrepancies induced by the two remote sensing systems (pulse energy, sampling, resolution, etc.). Our first results tend to show that the MPLs, which are the primary ARM lidars, have a distinctly limited range where all of these cloud properties are detectable, especially cloud top and cloud thickness, but even actual cloud base especially during summer daytime period. According to the comparisons between RL and MPL, almost 50% of situations show a signal to noise ratio too low (smaller than 3) for the MPL in order to detect clouds higher than 7km during daytime period in summer. Consequently, the MPLderived annual cycle of cirrus cloud base (top) altitude is biased low, especially for daylight periods, compared with those derived from the RL data, which detects 5 cloud base ranging from 7.5 km in winter to 9.5 km in summer (and tops ranging from 8.6 to 10.5 km). The optically thickest cirrus clouds (COT>0.3) reach 50% of the total population for the Raman lidar and only 20% for the Micropulse lidar due to the difference of pulse energy and the effect of solar irradiance contamination. A complementary study using the cloud fraction 10 derived from the Micropulse lidar for clouds below 5 km and from the Raman lidar for cloud above 5 km allows for better estimation of the total cloud fraction between the ground and the top of the atmosphere. This study presents the diurnal cycle of cloud fraction for each season in comparisons with the Long et al. (2006) cloud fraction calculation derived from radiative flux analysis.

  10. Aerosol Plume Detection Algorithm Based on Image Segmentation of Scanning Atmospheric Lidar Data

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

    Weekley, R. Andrew; Goodrich, R. Kent; Cornman, Larry B.

    2016-04-01

    An image-processing algorithm has been developed to identify aerosol plumes in scanning lidar backscatter data. The images in this case consist of lidar data in a polar coordinate system. Each full lidar scan is taken as a fixed image in time, and sequences of such scans are considered functions of time. The data are analyzed in both the original backscatter polar coordinate system and a lagged coordinate system. The lagged coordinate system is a scatterplot of two datasets, such as subregions taken from the same lidar scan (spatial delay), or two sequential scans in time (time delay). The lagged coordinatemore » system processing allows for finding and classifying clusters of data. The classification step is important in determining which clusters are valid aerosol plumes and which are from artifacts such as noise, hard targets, or background fields. These cluster classification techniques have skill since both local and global properties are used. Furthermore, more information is available since both the original data and the lag data are used. Performance statistics are presented for a limited set of data processed by the algorithm, where results from the algorithm were compared to subjective truth data identified by a human.« less

  11. Adjusting lidar-derived digital terrain models in coastal marshes based on estimated aboveground biomass density

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

    Medeiros, Stephen; Hagen, Scott; Weishampel, John; Angelo, James

    2015-03-25

    Digital elevation models (DEMs) derived from airborne lidar are traditionally unreliable in coastal salt marshes due to the inability of the laser to penetrate the dense grasses and reach the underlying soil. To that end, we present a novel processing methodology that uses ASTER Band 2 (visible red), an interferometric SAR (IfSAR) digital surface model, and lidar-derived canopy height to classify biomass density using both a three-class scheme (high, medium and low) and a two-class scheme (high and low). Elevation adjustments associated with these classes using both median and quartile approaches were applied to adjust lidar-derived elevation values closer tomore » true bare earth elevation. The performance of the method was tested on 229 elevation points in the lower Apalachicola River Marsh. The two-class quartile-based adjusted DEM produced the best results, reducing the RMS error in elevation from 0.65 m to 0.40 m, a 38% improvement. The raw mean errors for the lidar DEM and the adjusted DEM were 0.61 ± 0.24 m and 0.32 ± 0.24 m, respectively, thereby reducing the high bias by approximately 49%.« less

  12. Adjusting lidar-derived digital terrain models in coastal marshes based on estimated aboveground biomass density

    SciTech Connect (OSTI)

    Medeiros, Stephen; Hagen, Scott; Weishampel, John; Angelo, James

    2015-03-25

    Digital elevation models (DEMs) derived from airborne lidar are traditionally unreliable in coastal salt marshes due to the inability of the laser to penetrate the dense grasses and reach the underlying soil. To that end, we present a novel processing methodology that uses ASTER Band 2 (visible red), an interferometric SAR (IfSAR) digital surface model, and lidar-derived canopy height to classify biomass density using both a three-class scheme (high, medium and low) and a two-class scheme (high and low). Elevation adjustments associated with these classes using both median and quartile approaches were applied to adjust lidar-derived elevation values closer to true bare earth elevation. The performance of the method was tested on 229 elevation points in the lower Apalachicola River Marsh. The two-class quartile-based adjusted DEM produced the best results, reducing the RMS error in elevation from 0.65 m to 0.40 m, a 38% improvement. The raw mean errors for the lidar DEM and the adjusted DEM were 0.61 0.24 m and 0.32 0.24 m, respectively, thereby reducing the high bias by approximately 49%.

  13. Turbine-scale wind field measurements using dual-Doppler lidar

    SciTech Connect (OSTI)

    Newsom, Rob K.; Berg, Larry K.; Shaw, William J.; Fischer, Marc

    2015-02-01

    Spatially resolved measurements of micro-scale winds are retrieved using scanning dual-Doppler lidar, and validated against independent in situ wind measurements. Data for this study were obtained during a month-long field campaign conducted at a site in north-central Oklahoma in November of 2010. Observational platforms include one heavily instrumented 60-m meteorological tower and two scanning coherent Doppler lidars. The lidars were configured to perform coordinated dual-Doppler scans surrounding the 60-m tower, and the resulting radial velocity observations were processed to retrieve the 3-component velocity vector field on surfaces defined by the intersecting scan planes. Raw radial velocity measurements from the lidars were calibrated by direct comparison to a sonic anemometer located at the 60 m level on the tower. Wind retrievals were performed using both calibrated and uncalibrated measurements, and validated against the 60-m sonic anemometer observations. Retrievals using uncalibrated radial velocity data show a significant slow bias in the wind speed of about 14%; whereas the retrievals using the calibrated data show a much smaller slow bias of 1.2%. Retrievals using either the calibrated or uncalibrated data exhibit negligible bias in the wind direction (<0.2o), and excellent correlation in the wind speeds (>0.96).

  14. Active probing of cloud thickness and optical depth using wide-angle imaging LIDAR.

    SciTech Connect (OSTI)

    Love, Steven P.; Davis, A. B.; Rohde, C. A.; Tellier, L. L.; Ho, Cheng,

    2002-01-01

    At most optical wavelengths, laser light in a cloud lidar experiment is not absorbed but merely scattered out of the beam, eventually escaping the cloud via multiple scattering. There is much information available in this light scattered far from the input beam, information ignored by traditional 'on-beam' lidar. Monitoring these off-beam returns in a fully space- and time-resolved manner is the essence of our unique instrument, Wide Angle Imaging Lidar (WAIL). In effect, WAIL produces wide-field (60{sup o} full-angle) 'movies' of the scattering process and records the cloud's radiative Green functions. A direct data product of WAIL is the distribution of photon path lengths resulting from multiple scattering in the cloud. Following insights from diffusion theory, we can use the measured Green functions to infer the physical thickness and optical depth of the cloud layer. WAIL is notable in that it is applicable to optically thick clouds, a regime in which traditional lidar is reduced to ceilometry. Section 2 covers the up-to-date evolution of the nighttime WAIL instrument at LANL. Section 3 reports our progress towards daytime capability for WAIL, an important extension to full diurnal cycle monitoring by means of an ultra-narrow magneto-optic atomic line filter. Section 4 describes briefly how the important cloud properties can be inferred from WAIL signals.

  15. Vertical-Axis Wind Turbine Mesh Generator

    SciTech Connect (OSTI)

    2014-01-24

    VAWTGen is a mesh generator for creating a finite element beam mesh of arbitrary vertical-axis wind turbines (VAWT). The software accepts input files specifying tower and blade structural and aerodynamic descriptions and constructs a VAWT using a minimal set of inputs. VAWTs with an arbitrary number of blades can be constructed with or without a central tower. Strut connections between the tower and blades can be specified in an arbitrary manner. The software also facilitates specifying arbitrary joints between structural components and concentrated structural tenns (mass and stiffness). The output files which describe the VAWT configuration are intended to be used with the Offshore Wind ENergy Simulation (OWENS) Toolkit software for structural dynamics analysis of VAWTs. Furthermore, VAWTGen is useful for visualizing output from the OWENS analysis software.

  16. Vertical-Axis Wind Turbine Mesh Generator

    Energy Science and Technology Software Center (OSTI)

    2014-01-24

    VAWTGen is a mesh generator for creating a finite element beam mesh of arbitrary vertical-axis wind turbines (VAWT). The software accepts input files specifying tower and blade structural and aerodynamic descriptions and constructs a VAWT using a minimal set of inputs. VAWTs with an arbitrary number of blades can be constructed with or without a central tower. Strut connections between the tower and blades can be specified in an arbitrary manner. The software also facilitatesmore » specifying arbitrary joints between structural components and concentrated structural tenns (mass and stiffness). The output files which describe the VAWT configuration are intended to be used with the Offshore Wind ENergy Simulation (OWENS) Toolkit software for structural dynamics analysis of VAWTs. Furthermore, VAWTGen is useful for visualizing output from the OWENS analysis software.« less

  17. Fermilab Today | University Profiles

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

    University Profiles Archive Subscribe | Contact Fermilab Today | Archive | Classifieds Search GO More than 2,000 scientists worldwide work with Fermilab. In the United States, about 1,300 scientists from institutions in 36 states rely on Fermilab for their research, with support from the U.S. Department of Energy and the National Science Foundation. These profiles, published in Fermilab Today, spotlight the critical role of universities in particle physics research. We'd love to profile your

  18. Detailed Hydrographic Feature Extraction from High-Resolution LiDAR Data

    SciTech Connect (OSTI)

    Danny L. Anderson

    2012-05-01

    Detailed hydrographic feature extraction from high-resolution light detection and ranging (LiDAR) data is investigated. Methods for quantitatively evaluating and comparing such extractions are presented, including the use of sinuosity and longitudinal root-mean-square-error (LRMSE). These metrics are then used to quantitatively compare stream networks in two studies. The first study examines the effect of raster cell size on watershed boundaries and stream networks delineated from LiDAR-derived digital elevation models (DEMs). The study confirmed that, with the greatly increased resolution of LiDAR data, smaller cell sizes generally yielded better stream network delineations, based on sinuosity and LRMSE. The second study demonstrates a new method of delineating a stream directly from LiDAR point clouds, without the intermediate step of deriving a DEM. Direct use of LiDAR point clouds could improve efficiency and accuracy of hydrographic feature extractions. The direct delineation method developed herein and termed “mDn”, is an extension of the D8 method that has been used for several decades with gridded raster data. The method divides the region around a starting point into sectors, using the LiDAR data points within each sector to determine an average slope, and selecting the sector with the greatest downward slope to determine the direction of flow. An mDn delineation was compared with a traditional grid-based delineation, using TauDEM, and other readily available, common stream data sets. Although, the TauDEM delineation yielded a sinuosity that more closely matches the reference, the mDn delineation yielded a sinuosity that was higher than either the TauDEM method or the existing published stream delineations. Furthermore, stream delineation using the mDn method yielded the smallest LRMSE.

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oregon Electricity Profile 2013 Table 1. 2013 Summary statistics (Oregon) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 15,662 27 Electric ...

  20. EIA - State Electricity Profiles

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

    Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (Virginia) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 26,292 16 Electric ...

  1. EIA - State Electricity Profiles

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

    United States Electricity Profile 2014 Table 1. 2014 Summary statistics (United States) Item Value Primary energy source Coal Net summer capacity (megawatts) 1,068,422 Electric ...

  2. LANSCE | News & Media | Profiles

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

    Users User Office User Program LANSCE User Group Rosen Scholar Rosen Prize News & Multimedia News Multimedia Events Profiles Highlights Seminars Activity Reports The Pulse User ...

  3. Profiling Your Application

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

    sure to focus on only the main computation of your application (omitting initialization steps which may otherwise clutter the profiling results). Further, it may be valuable at...

  4. Water Vapor Turbulence Profiles in Stationary Continental Convective Mixed Layers

    SciTech Connect (OSTI)

    Turner, D. D.; Wulfmeyer, Volker; Berg, Larry K.; Schween, Jan

    2014-10-08

    The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program’s Raman lidar at the ARM Southern Great Plains (SGP) site in north-central Oklahoma has collected water vapor mixing ratio (q) profile data more than 90% of the time since October 2004. Three hundred (300) cases were identified where the convective boundary layer was quasi-stationary and well-mixed for a 2-hour period, and q mean, variance, third order moment, and skewness profiles were derived from the 10-s, 75-m resolution data. These cases span the entire calendar year, and demonstrate that the q variance profiles at the mixed layer (ML) top changes seasonally, but is more related to the gradient of q across the interfacial layer. The q variance at the top of the ML shows only weak correlations (r < 0.3) with sensible heat flux, Deardorff convective velocity scale, and turbulence kinetic energy measured at the surface. The median q skewness profile is most negative at 0.85 zi, zero at approximately zi, and positive above zi, where zi is the depth of the convective ML. The spread in the q skewness profiles is smallest between 0.95 zi and zi. The q skewness at altitudes between 0.6 zi and 1.2 zi is correlated with the magnitude of the q variance at zi, with increasingly negative values of skewness observed lower down in the ML as the variance at zi increases, suggesting that in cases with larger variance at zi there is deeper penetration of the warm, dry free tropospheric air into the ML.

  5. Conventional Energy Forum & Associated Vertical Business Development: Best

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

    Practices in Indian Country | Department of Energy Conventional Energy Forum & Associated Vertical Business Development: Best Practices in Indian Country Conventional Energy Forum & Associated Vertical Business Development: Best Practices in Indian Country March 1, 2012 Las Vegas, Nevada Mandalay Bay Resort & Casino The Office of Indian Energy Tribal Leader Energy Forum on "Conventional Energy (Oil, Gas, and Coal) Forum & Associated Vertical Business Development: Best

  6. Robotic platform for traveling on vertical piping network

    DOE Patents [OSTI]

    Nance, Thomas A; Vrettos, Nick J; Krementz, Daniel; Marzolf, Athneal D

    2015-02-03

    This invention relates generally to robotic systems and is specifically designed for a robotic system that can navigate vertical pipes within a waste tank or similar environment. The robotic system allows a process for sampling, cleaning, inspecting and removing waste around vertical pipes by supplying a robotic platform that uses the vertical pipes to support and navigate the platform above waste material contained in the tank.

  7. Stabilization of the Vertical Mode in Tokamaks by Localized Nonaxisymmetric

    Office of Scientific and Technical Information (OSTI)

    Fields (Journal Article) | SciTech Connect Journal Article: Stabilization of the Vertical Mode in Tokamaks by Localized Nonaxisymmetric Fields Citation Details In-Document Search Title: Stabilization of the Vertical Mode in Tokamaks by Localized Nonaxisymmetric Fields Vertical instability of a tokamak plasma can be controlled by nonaxisymmetric magnetic fields localized near the plasma edge at the bottom and top of the torus. The required magnetic fields can be produced by a relatively

  8. Characterization of Vertical Velocity and Drop Size Distribution Parameters

    Office of Scientific and Technical Information (OSTI)

    in Widespread Precipitation at ARM Facilities (Journal Article) | SciTech Connect Characterization of Vertical Velocity and Drop Size Distribution Parameters in Widespread Precipitation at ARM Facilities Citation Details In-Document Search Title: Characterization of Vertical Velocity and Drop Size Distribution Parameters in Widespread Precipitation at ARM Facilities Extended, high-resolution measurements of vertical air motion and median volume drop diameter D0 in widespread precipitation

  9. Vertical Pretreatment Reactor System (Poster), NREL (National Renewable Energy Laboratory)

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

    Vertical Pretreatment Reactor System Two-vessel system for primary and secondary pretreatment at diff erent temperatures * Biomass is heated by steam injection to temperatures of 120°C to 210°C in the pressurized mixing tube * Preheated, premixed biomass is retained for specified residence time in vertical holding vessel; material continuously moves by gravity from top to bottom of reactor in plug-fl ow fashion * Residence time is adjusted by changing amount of material held in vertical vessel

  10. Vertical Emmittance Studies at the ATF Damping Ring (Technical Report) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Vertical Emmittance Studies at the ATF Damping Ring Citation Details In-Document Search Title: Vertical Emmittance Studies at the ATF Damping Ring A primary purpose of the ATF Damping Ring is to demonstrate the small vertical emittance required for a future linear collider. In this report, we first describe the diagnostics available to measure this emittance. Then we discuss the dependence of the emittance on various parameters, such as the betatron tunes, vacuum pressure,

  11. Vertical Emmittance Studies at the ATF Damping Ring (Technical...

    Office of Scientific and Technical Information (OSTI)

    Visit OSTI to utilize additional information resources in energy science and technology. A ... A primary purpose of the ATF Damping Ring is to demonstrate the small vertical emittance ...

  12. An ultimate storage ring lattice with vertical emittance generated...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: An ultimate storage ring lattice with vertical emittance generated by damping wigglers Citation Details In-Document Search Title: An ultimate storage ring lattice...

  13. Conventional Energy (Oil, Gas, and Coal) Forum & Associated Vertical...

    Office of Environmental Management (EM)

    CONVENTIONAL ENERGY (OIL, GAS & COAL) FORUM & ASSOCIATED VERTICAL BUSINESS DEVELOPMENT ... Ute Growth Fund Sam Woods, Energy Policy Advisor, Navajo Nation 10:15am -11:45am ...

  14. Study Compares Floating-Platform Options for Offshore Vertical...

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

    Compares Floating-Platform Options for Offshore Vertical-Axis Wind Turbines - Sandia Energy Energy Search ... compare floating platform options for each turbine in the design space. ...

  15. Current Drive for Plasma Via Vertically-Structured Permanent...

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

    Current Drive for Plasma Via Vertically-Structured Permanent Magnet System. This invention uses the rotatoin of permanent magnets to generate a plasma current with toroidal fusion...

  16. Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Atmospheric turbulence; Vertical velocity Dataset File size N...

  17. Vertical Electrical Sounding Configurations At Mt Princeton Hot...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Vertical Electrical Sounding Configurations At Mt Princeton Hot Springs Geothermal Area (Zohdy, Et Al.,...

  18. Method to determine and adjust the alignment of the transmitter and receiver fields of view of a LIDAR system

    DOE Patents [OSTI]

    Schmitt, Randal L.; Henson, Tammy D.; Krumel, Leslie J.; Hargis, Jr., Philip J.

    2006-06-20

    A method to determine the alignment of the transmitter and receiver fields of view of a light detection and ranging (LIDAR) system. This method can be employed to determine the far-field intensity distribution of the transmitter beam, as well as the variations in transmitted laser beam pointing as a function of time, temperature, or other environmental variables that may affect the co-alignment of the LIDAR system components. In order to achieve proper alignment of the transmitter and receiver optical systems when a LIDAR system is being used in the field, this method employs a laser-beam-position-sensing detector as an integral part of the receiver optics of the LIDAR system.

  19. Mass and momentum balance in the Brush Creek drainage flow determined from single-profile data

    SciTech Connect (OSTI)

    Dobosy, R.J.; Rao, K.S.; Przybylowicz, J.W.; Eckman, R.M. )

    1989-06-01

    Fluxes and flux-divergences of mass and momentum in Brush Creek Valley, computed from measurements taken by Tethersondes and Doppler sodars in the 1984 ASCOT experiment, are presented. Estimates of mass influx from open sidewalls in Brush Creek, derived from concurrent tower measurements, are also given. Mass and momentum fluxes calculated from single-profile data were within a factor of 1.5 of those obtained by integrating Doppler lidar data. Flux-divergences for budget calculations should be derived from a Doppler lidar or equivalent remote sensor data, because single-profile measurements were found to have sampling errors which are too large for reliable flux divergence estimates. The mass influx from the sidewalls was insufficient to account for the mass flux-divergence in the main valley. This imbalance in the drainage flow mass budget is speculated to be due to the inflow from the small box-canyon tributaries, rather than from subisdence of air above the main valley. {copyright}1989 American Meteorological Society

  20. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Parcivel Disdrometer (williams-disdro)

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

    Williams, Christopher; Jensen, Mike

    2012-11-06

    This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

  1. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Surface Meteorology (williams-surfmet)

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

    Williams, Christopher; Jensen, Mike

    2012-11-06

    This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

  2. Field Test Results of Using a Nacelle-Mounted Lidar for Improving Wind Energy Capture by Reducing Yaw Misalignment (Presentation)

    SciTech Connect (OSTI)

    Fleming, P.; Scholbrock, A.; Wright, A.

    2014-11-01

    Presented at the Nordic Wind Power Conference on November 5, 2014. This presentation describes field-test campaigns performed at the National Wind Technology Center in which lidar technology was used to improve the yaw alignment of the Controls Advanced Research Turbine (CART) 2 and CART3 wind turbines. The campaigns demonstrated that whether by learning a correction function to the nacelle vane, or by controlling yaw directly with the lidar signal, a significant improvement in power capture was demonstrated.

  3. Engineering design of vertical test stand cryostat

    SciTech Connect (OSTI)

    Suhane, S.K.; Sharma, N.K.; Raghavendra, S.; Joshi, S.C.; Das, S.; Kush, P.K.; Sahni, V.C.; Gupta, P.D.; Sylvester, C.; Rabehl, R.; Ozelis, J.; /Fermilab

    2011-03-01

    Under Indian Institutions and Fermilab collaboration, Raja Ramanna Centre for Advanced Technology and Fermi National Accelerator Laboratory are jointly developing 2K Vertical Test Stand (VTS) cryostats for testing SCRF cavities at 2K. The VTS cryostat has been designed for a large testing aperture of 86.36 cm for testing of 325 MHz Spoke resonators, 650 MHz and 1.3 GHz multi-cell SCRF cavities for Fermilab's Project-X. Units will be installed at Fermilab and RRCAT and used to test cavities for Project-X. A VTS cryostat comprises of liquid helium (LHe) vessel with internal magnetic shield, top insert plate equipped with cavity support stand and radiation shield, liquid nitrogen (LN{sub 2}) shield and vacuum vessel with external magnetic shield. The engineering design and analysis of VTS cryostat has been carried out using ASME B&PV Code and Finite Element Analysis. Design of internal and external magnetic shields was performed to limit the magnetic field inside LHe vessel at the cavity surface <1 {micro}T. Thermal analysis for LN{sub 2} shield has been performed to check the effectiveness of LN{sub 2} cooling and for compliance with ASME piping code allowable stresses.

  4. Additional development of remote sensing techniques for observing morphology, microphysics, and radiative properties of clouds and tests using a new, robust CO{sub 2} lidar. Final report

    SciTech Connect (OSTI)

    Eberhard, W.L.; Brewer, W.A.; Intrieri, J.M.

    1998-09-28

    A three-year project with a goal of advancing CO{sub 2} lidar technology and measurement techniques for cloud studies was successfully completed. An eyesafe, infrared lidar with good sensitivity and improved Doppler accuracy was designed, constructed, and demonstrated. Dual-wavelength operation was achieved. A major leap forward in robustness was demonstrated. CO{sub 2} lidars were operated as part of two Intensive Operations Periods at the Southern Great Plains CART site. The first used an older lidar and was intended primarily for measurement technique development. The second used the new lidar and was primarily a demonstration and evaluation of its performance. Progress was demonstrated in the development, evaluation, and application of measurement techniques using CO{sub 2} lidar.

  5. Theoretic base of Edge Local Mode triggering by vertical displacements

    SciTech Connect (OSTI)

    Wang, Z. T.; He, Z. X.; Wang, Z. H.; Wu, N.; Tang, C. J.

    2015-05-15

    Vertical instability is studied with R-dependent displacement. For Solovev's configuration, the stability boundary of the vertical instability is calculated. The pressure gradient is a destabilizing factor which is contrary to Rebhan's result. Equilibrium parallel current density, j{sub //}, at plasma boundary is a drive of the vertical instability similar to Peeling-ballooning modes; however, the vertical instability cannot be stabilized by the magnetic shear which tends towards infinity near the separatrix. The induced current observed in the Edge Local Mode (ELM) triggering experiment by vertical modulation is derived. The theory provides some theoretic explanation for the mitigation of type-I ELMS on ASDEX Upgrade. The principle could be also used for ITER.

  6. Steerable vertical to horizontal energy transducer for mobile robots

    DOE Patents [OSTI]

    Spletzer, Barry L.; Fischer, Gary J.; Feddema, John T.

    2001-01-01

    The present invention provides a steerable vertical to horizontal energy transducer for mobile robots that less complex and requires less power than two degree of freedom tilt mechanisms. The present invention comprises an end effector that, when mounted with a hopping actuator, translates along axis (typically vertical) actuation into combined vertical and horizontal motion. The end effector, or foot, mounts with an end of the actuator that moves toward the support surface (typically a floor or the earth). The foot is shaped so that the first contact with the support surface is off the axis of the actuator. Off-axis contact with the support surface generates an on-axis force (typically resulting in vertical motion) and a moment orthogonal to the axis. The moment initiates a horizontal tumbling motion, and tilts the actuator so that its axis is oriented with a horizontal component and continued actuation generates both vertical and horizontal force.

  7. Advanced interferometric profile measurements through refractive media

    SciTech Connect (OSTI)

    Koev, Stephan T.; Ghodssi, Reza [MEMS Sensors and Actuators Laboratory (MSAL), Department of Electrical and Computer Engineering, Institute for Systems Research, University of Maryland, College Park, Maryland 20742 (United States)

    2008-09-15

    Optical profilers are valuable tools for the characterization of microelectromechanical systems (MEMSs). They use phase sifting interferometry (PSI) or vertical scanning interferometry to measure the topography of microscale structures with nanometer resolution. However, for many emerging MEMS applications, the sample needs to be imaged while placed in a liquid or in a package with a glass window. The increased refractive index of the transparent medium degrades the interference image contrast and prevents any measurement of the sample. We report on the modification of a Veeco NT1100 optical profiler to enable PSI measurements through refractive media. This approach can be applied to any other optical profiler with PSI capability. The modification consists in replacing the original illumination source with a custom-built narrow linewidth source, which increases the coherence length of the light and the contrast of the interference image. We present measurements taken with the modified configuration on samples covered with 3 mm water or 500 {mu}m glass, and we compare them to measurements of uncovered samples. We show that the measurement precision is only slightly reduced by the water and glass, and that it is still sufficiently high for typical MEMS applications. The described method can be readily used for measuring through other types and thicknesses of refractive materials.

  8. Evaluation of cloudless-sky periods detected by shortwave and longwave algorithms using lidar measurements

    SciTech Connect (OSTI)

    Dupont, Jean-Charles; Haeffelin, M.; Long, Charles N.

    2008-05-30

    Identifying cloud-free period is an important task as they are common references in cloud and aerosol radiative forcing studies. Their identification requires precise methods to distinguish condensed water from other aerosols (eg mineral or moist hydrophyle aerosols). In this study we combine analyses of wide field of view shortwave and longwave irradiances and lidar backscatter measurements to explore situations that are considered neither completely clear nor cloudy. We find that cloud-free periods detected by analysis of the broadband measurements are also identified as cloud free by the lidar in more than 60% of situations. Residual occurrences are composed of 90% high-altitude cirrus clouds, partitioned equally between subvisible and semi-transparent optical thickness classes.

  9. Three dimensional winds: A maximum cross-correlation application to elastic lidar data

    SciTech Connect (OSTI)

    Buttler, W.T.

    1996-05-01

    Maximum cross-correlation techniques have been used with satellite data to estimate winds and sea surface velocities for several years. Los Alamos National Laboratory (LANL) is currently using a variation of the basic maximum cross-correlation technique, coupled with a deterministic application of a vector median filter, to measure transverse winds as a function of range and altitude from incoherent elastic backscatter lidar (light detection and ranging) data taken throughout large volumes within the atmospheric boundary layer. Hourly representations of three-dimensional wind fields, derived from elastic lidar data taken during an air-quality study performed in a region of complex terrain near Sunland Park, New Mexico, are presented and compared with results from an Environmental Protection Agency (EPA) approved laser doppler velocimeter. The wind fields showed persistent large scale eddies as well as general terrain-following winds in the Rio Grande valley.

  10. DOE/SC-ARM/TR-098 Micropulse Lidar Cloud Mask Value-Added Product Technical Report

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

    8 Micropulse Lidar Cloud Mask Value-Added Product Technical Report C Sivaraman J Comstock July 2011 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would

  11. Raman Lidar Measurements of Aerosols and Water Vapor During the May 2003 Aerosol IOP

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

    Raman Lidar Measurements of Aerosols and Water Vapor During the May 2003 Aerosol IOP R. A. Ferrare National Aeronautics and Space Administration Langley Research Center Hampton, Virginia D. D. Turner Pacific Northwest National Laboratory Richland, Washington M. Clayton Science Applications International Corporation National Aeronautics and Space Administration Langley Research Center Hampton, Virginia B. S. Schmid and J. Redemann BAER/NASA Ames Research Institute Moffett Field, California D.

  12. Remote Sensing of Complex Flows by Doppler Wind Lidar: Issues and Preliminary Recommendations

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

    Remote Sensing of Complex Flows by Doppler Wind Lidar: Issues and Preliminary Recommendations Lead Author: Andrew Clifton National Renewable Energy Laboratory Technical Report NREL/TP-5000-64634 December 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications.

  13. Lidar Comparison for GoAmazon 2014/15 Field Campaign Report

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

    0 Lidar Comparison for GoAmazon 2014/15 Field Campaign Report HMJ Barbosa DA Gouveia B Barja E Landulfo April 2016 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that

  14. doe sc arm 15 070 CampaignT3LidarIPEN_v3_edited

    Office of Scientific and Technical Information (OSTI)

    70 Lidar Comparison for GoAmazon 2014/15 Field Campaign Report HMJ Barbosa DA Gouveia B Barja E Landulfo April 2016 CLIMATE RESEARCH FACILITY DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process

  15. Linearly Organized Turbulence Structures Observed Over a Suburban Area by Dual-Doppler Lidar

    SciTech Connect (OSTI)

    Newsom, Rob K.; Calhoun, Ron; Ligon, David; Allwine, K Jerry

    2008-04-01

    Dual-Doppler lidar observations are used to investigate the structure and evolution of surface layer flow over a suburban area. The observations were made during the Joint Urban 2003 (JU2003) field experiment in Oklahoma City in the summer of 2003. This study focuses specifically on a 10-hour sequence of scan data beginning shortly after noon local time on July 7, 2003. During this period two coherent Doppler lidars performed overlapping low elevation angle sector scans upwind and south of Oklahoma Citys central business district (CBD). Radial velocity data from the two lidars are processed to reveal the structure and evolution of the horizontal velocity field in the surface layer throughout the afternoon and evening transition periods. The retrieved velocity fields clearly show a tendency for turbulence structures to be elongated in the direction of the mean flow throughout the entire 10-hour study period. As the stratification changed from unstable to weakly stable the turbulence structures became increasingly more linearly organized, and the cross-stream separation between high- and low-speed regoins decreased. The spatially resolved velocity fields are used to estimate streamwise and cross-stream turbulence length scales as functions of stability.

  16. Improved Retrievals of Temperature and Water Vapor Profiles Using a Twelve-Channel Microwave Radiometer

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

    Retrievals of Temperature and Water Vapor Profiles Using a Twelve-Channel Microwave Radiometer J. C. Liljegren Environmental Research Division Argonne National Laboratory Argonne, Illinois Introduction Radiometrics Corporation has developed a twelve-channel microwave radiometer capable of providing continuous, real-time vertical profiles of temperature, water vapor, and limited-resolution cloud liquid water from the surface to 10 km in nearly all weather conditions (Solheim et al. 1998a). Since

  17. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Virginia Renewable Electricity Profile 2010 Virginia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro ...

  18. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Dakota Renewable Electricity Profile 2010 North Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind ...

  19. Sidewall containment of liquid metal with vertical alternating magnetic fields

    DOE Patents [OSTI]

    Lari, R.J.; Praeg, W.F.; Turner, L.R.; Battles, J.E.; Hull, J.R.; Rote, D.M.

    1990-12-04

    An apparatus is disclosed for containing molten metal using a magnet producing vertical alternating magnetic field positioned adjacent the area in which the molten metal is to be confined. This invention can be adapted particularly to the casting of metal between counter-rotating rollers with the vertical alternating magnetic field used to confine the molten metal at the edges of the rollers. Alternately, the vertical alternating magnetic field can be used as a flow regulator in casting molten metal from an opening in a channel. 9 figs.

  20. Sidewall containment of liquid metal with vertical alternating magnetic fields

    DOE Patents [OSTI]

    Lari, Robert J.; Praeg, Walter F.; Turner, Larry R.; Battles, James E.; Hull, John R.; Rote, Donald M.

    1990-01-01

    An apparatus for containing molten metal using a magnet producing vertical alternating magnetic field positioned adjacent the area in which the molten metal is to be confined. This invention can be adapted particularly to the casting of metal between counter-rotating rollers with the vertical alternating magnetic field used to confine the molten metal at the edges of the rollers. Alternately, the vertical alternating magnetic field can be used as a flow regulator in casting molten metal from an opening in a channel.

  1. Sidewall containment of liquid metal with vertical alternating magnetic fields

    DOE Patents [OSTI]

    Lari, R.J.; Praeg, W.F.; Turner, L.R.; Battles, J.E.; Hull, J.R.; Rote, D.M.

    1988-06-17

    An apparatus for containing molten metal using a magnet producing vertical alternating magnetic field positioned adjacent to the area in which the molten metal is to be confined. This invention can be adapted particularly to the casting of metal between counter-rotating rollers with the vertical alternating magnetic field used to confine the molten metal at the edges of the rollers. Alternately, the vertical alternating magnetic field can be used as a flow regulator in casting molten metal from an opening in a channel. 8 figs.

  2. ARM - VAP Process - rlprof

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

    Productsrlprof Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Raman LIDAR Vertical Profiles (RLPROF) Instrument Categories Aerosols, Atmospheric Profiling, Derived Quantities and Models Rlprof data flow diagram Data flowchart for the RLPROF family. (Larger image available.) The Raman lidar automatically attempts to

  3. 915-MHz Radar Wind Profiler (915RWP) Handbook

    SciTech Connect (OSTI)

    Coulter, R

    2005-01-01

    The 915 MHz radar wind profiler/radio acoustic sounding system (RWP/RASS) measures wind profiles and backscattered signal strength between (nominally) 0.1 km and 5 km and virtual temperature profiles between 0.1 km and 2.5 km. It operates by transmitting electromagnetic energy into the atmosphere and measuring the strength and frequency of backscattered energy. Virtual temperatures are recovered by transmitting an acoustic signal vertically and measuring the electromagnetic energy scattered from the acoustic wavefront. Because the propagation speed of the acoustic wave is proportional to the square root of the virtual temperature of the air, the virtual temperature can be recovered by measuring the Doppler shift of the scattered electromagnetic wave.

  4. Field testing of feedforward collective pitch control on the CART2 using a nacelle-based Lidar scanner

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

    Schlipf, David; Fleming, Paul; Haizmann, Florian; Scholbrock, Andrew; Hofsass, Martin; Wright, Alan; Cheng, Po Wen

    2014-01-01

    This work presents the results from a field test of LIDAR assisted collective pitch control using a scanning LIDAR device installed on the nacelle of a mid-scale research turbine. A nonlinear feedforward controller is extended by an adaptive filter to remove all uncorrelated frequencies of the wind speed measurement to avoid unnecessary control action. Positive effects on the rotor speed regulation as well as on tower, blade and shaft loads have been observed in the case that the previous measured correlation and timing between the wind preview and the turbine reaction are accomplish. The feedforward controller had negative impact, whenmore » the LIDAR measurement was disturbed by obstacles in front of the turbine. This work proves, that LIDAR is valuable tool for wind turbine control not only in simulations but also under real conditions. Moreover, the paper shows that further understanding of the relationship between the wind measurement and the turbine reaction is crucial to improve LIDAR assisted control of wind turbines.« less

  5. Country profile: Hungary

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    Country Profile: Hungary has been prepared as a background document for use by US Government agencies and US businesses interested in becoming involved with the new democracies of Eastern Europe as they pursue sustainable economic development. The focus of the Profile is on energy and highlights information on Hungary's energy supply, demand, and utilization. It identifies patterns of energy usage in the important economic sectors, especially industry, and provides a preliminary assessment for opportunities to improve efficiencies in energy production, distribution and use by introducing more efficient technologies. The use of more efficient technologies would have the added benefit of reducing the environmental impact which, although is not the focus of the report, is an issue that effects energy choices. The Profile also presents considerable economic information, primarily in the context of how economic restructuring may affect energy supply, demand, and the introduction of more efficient technologies.

  6. Country profile: Hungary

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    Country Profile: Hungary has been prepared as a background document for use by US Government agencies and US businesses interested in becoming involved with the new democracies of Eastern Europe as they pursue sustainable economic development. The focus of the Profile is on energy and highlights information on Hungary`s energy supply, demand, and utilization. It identifies patterns of energy usage in the important economic sectors, especially industry, and provides a preliminary assessment for opportunities to improve efficiencies in energy production, distribution and use by introducing more efficient technologies. The use of more efficient technologies would have the added benefit of reducing the environmental impact which, although is not the focus of the report, is an issue that effects energy choices. The Profile also presents considerable economic information, primarily in the context of how economic restructuring may affect energy supply, demand, and the introduction of more efficient technologies.

  7. Detonation Wave Profile

    SciTech Connect (OSTI)

    Menikoff, Ralph

    2015-12-14

    The Zel’dovich-von Neumann-Doering (ZND) profile of a detonation wave is derived. Two basic assumptions are required: i. An equation of state (EOS) for a partly burned explosive; P(V, e, λ). ii. A burn rate for the reaction progress variable; d/dt λ = R(V, e, λ). For a steady planar detonation wave the reactive flow PDEs can be reduced to ODEs. The detonation wave profile can be determined from an ODE plus algebraic equations for points on the partly burned detonation loci with a specified wave speed. Furthermore, for the CJ detonation speed the end of the reaction zone is sonic. A solution to the reactive flow equations can be constructed with a rarefaction wave following the detonation wave profile. This corresponds to an underdriven detonation wave, and the rarefaction is know as a Taylor wave.

  8. ARM - PI Product - Cloud-Scale Vertical Velocity and Turbulent...

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

    love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals Time-height...

  9. Development and application of new methods to retrieve vertical structure

    Office of Scientific and Technical Information (OSTI)

    of precipitation above the ARM CART sites from MMCR measurements (Technical Report) | SciTech Connect Technical Report: Development and application of new methods to retrieve vertical structure of precipitation above the ARM CART sites from MMCR measurements Citation Details In-Document Search Title: Development and application of new methods to retrieve vertical structure of precipitation above the ARM CART sites from MMCR measurements The main objective of this project was to develop,

  10. Development and application of new methods to retrieve vertical structure

    Office of Scientific and Technical Information (OSTI)

    of precipitation above the ARM CART sites from MMCR measurements (Technical Report) | SciTech Connect Development and application of new methods to retrieve vertical structure of precipitation above the ARM CART sites from MMCR measurements Citation Details In-Document Search Title: Development and application of new methods to retrieve vertical structure of precipitation above the ARM CART sites from MMCR measurements The main objective of this project was to develop, validate and apply

  11. Doppler Lidar Wind Value-Added Product (Technical Report) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Accurate measurement of these parameters is crucial for numerical weather prediction. Vertically resolved wind measurements in the atmospheric boundary layer are particularly ...

  12. Low profile thermite igniter

    SciTech Connect (OSTI)

    Halcomb, Danny L.; Mohler, Jonathan H.

    1991-03-05

    A thermite igniter/heat source comprising a housing, high-density thermite, and low-density thermite. The housing has a relatively low profile and can focus energy by means of a torch-like ejection of hot reaction products and is externally ignitable.

  13. Analysis of CASES-99 Lidar and Turbulence Data in Support of Wind Turbine Effects: April 1, 2001 to Januay 31, 2003

    SciTech Connect (OSTI)

    Banta, R. M.

    2003-06-01

    The nocturnal low-level jet (LLJ) of the Great Plains of the central United States has been identified as a promising source of high-momentum wind flow for wind energy. The acceleration of the winds after sunset above the surface produces a jet profile in the wind velocity, with maximum speeds that often exceed 10 m s-1 or more at heights near 100 m or more. These high wind speeds are advantageous for wind energy generation. The high speeds aloft, however, also produce a region of high shear between the LLJ and the earth's surface, where the nocturnal flow is often calm or nearly so. This shear zone below the LLJ generates atmospheric waves and turbulence that can cause strong vibration in the turbine rotors. It has been suggested that these vibrations contribute to premature failures in large wind turbines, which, of course, would be a considerable disadvantage for wind energy applications. In October 1999, a field project called the Cooperative Atmosphere-Surface Exchange Study 1999 campaign, or CASES-99, was conducted in southeastern Kansas to study the nocturnal stable boundary layer. One of the instruments deployed during CASES-99 was the High-Resolution Doppler Lidar, a new scanning, remote-sensing, wind-mapping instrument.

  14. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, S-band Radar (williams-s_band)

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

    Williams, Christopher

    2012-11-06

    This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

  15. Frequency agile laser safety & hazard analysis for the Sandia Remote Sensing System LIDAR.

    SciTech Connect (OSTI)

    Augustoni, Arnold L.

    2009-05-01

    A laser safety and hazard analysis was performed for the Raytheon Frequency Agile Laser (FAL) to be used with the Sandia Remote Sensing System (SRSS) B-70 Trailer based on the 2007 version of the American National Standards Institute's (ANSI) Standard 136.1, for Safe Use of Lasers and the 2005 version of the ANSI Standard Z136.6, for Safe Use of Lasers Outdoors. The B-70 SRSS LIDAR system is a portable platform, which is used to perform laser interaction experiments and tests at various national test sites.

  16. Temperature profile detector

    DOE Patents [OSTI]

    Tokarz, R.D.

    1983-10-11

    Disclosed is a temperature profile detector shown as a tubular enclosure surrounding an elongated electrical conductor having a plurality of meltable conductive segments surrounding it. Duplicative meltable segments are spaced apart from one another along the length of the enclosure. Electrical insulators surround these elements to confine molten material from the segments in bridging contact between the conductor and a second electrical conductor, which might be the confining tube. The location and rate of growth of the resulting short circuits between the two conductors can be monitored by measuring changes in electrical resistance between terminals at both ends of the two conductors. Additional conductors and separate sets of meltable segments operational at differing temperatures can be monitored simultaneously for measuring different temperature profiles. 8 figs.

  17. EIA - State Nuclear Profiles

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

    Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200

  18. EIA - State Nuclear Profiles

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

    Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total

  19. EIA - State Nuclear Profiles

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

    Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total

  20. EIA - State Nuclear Profiles

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

    California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum

  1. EIA - State Nuclear Profiles

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

    Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409

  2. EIA - State Nuclear Profiles

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

    Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3

  3. EIA - State Nuclear Profiles

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

    Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5

  4. EIA - State Nuclear Profiles

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

    Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110

  5. EIA - State Nuclear Profiles

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

    Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100

  6. EIA - State Nuclear Profiles

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

    Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100

  7. EIA - State Nuclear Profiles

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

    Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (nw) Share of State total (percent) Net generation (thousand nwh) Share of State total (percent) Nuclear 2,142 8.0 18,639 18.1 Coal 3,417 12.8 23,924 23.3 Hydro and Pumped Storage 192 0.7 1,109 1.1 Natural Gas 19,574 73.2 51,344 49.9 Other 1 213 0.8 2,120 2.1 Other Renewable1 325 1.2 2,468 2.4 Petroleum 881 3.3

  8. EIA - State Nuclear Profiles

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

    Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322

  9. EIA - State Nuclear Profiles

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

    Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031

  10. EIA - State Nuclear Profiles

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

    Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3

  11. EIA - State Nuclear Profiles

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

    Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31

  12. EIA - State Nuclear Profiles

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

    Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0

  13. EIA - State Nuclear Profiles

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

    Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total

  14. EIA - State Nuclear Profiles

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

    Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630

  15. EIA - State Nuclear Profiles

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

    Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0

  16. EIA - State Nuclear Profiles

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

    Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235

  17. EIA - State Nuclear Profiles

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

    York Nuclear Profile 2010 New York profile New York total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,271 13.4 41,870 30.6 Coal 2,781 7.1 13,583 9.9 Hydro and Pumped Storage 5,714 14.5 24,942 18.2 Natural Gas 17,407 44.2 48,916 35.7 Other 1 45 0.1 832 0.6 Other Renewable1 1,719 4.4 4,815 3.5 Petroleum 6,421 16.3

  18. EIA - State Nuclear Profiles

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

    North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6

  19. EIA - State Nuclear Profiles

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

    Ohio Nuclear Profile 2010 Ohio profile Ohio total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,134 6.5 15,805 11.0 Coal 21,360 64.6 117,828 82.1 Hydro and Pumped Storage 101 0.3 429 0.3 Natural Gas 8,203 24.8 7,128 5.0 Other 1 123 0.4 266 0.2 Other Renewable1 130 0.4 700 0.5 Petroleum 1,019 3.1 1,442 1.0 Total

  20. EIA - State Nuclear Profiles

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

    Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8

  1. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031

  2. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3

  3. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0

  4. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total

  5. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630

  6. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0

  7. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Ohio Nuclear Profile 2010 Ohio profile Ohio total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,134 6.5 15,805 11.0 Coal 21,360 64.6 117,828 82.1 Hydro and Pumped Storage 101 0.3 429 0.3 Natural Gas 8,203 24.8 7,128 5.0 Other 1 123 0.4 266 0.2 Other Renewable1 130 0.4 700 0.5 Petroleum 1,019 3.1 1,442 1.0 Total

  8. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200

  9. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total

  10. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total

  11. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum

  12. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409

  13. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3

  14. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5

  15. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110

  16. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100

  17. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100

  18. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322

  19. State Nuclear Profiles 2010

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

    Nuclear Profiles 2010 April 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing

  20. Temperature-profile detector

    DOE Patents [OSTI]

    Not Available

    1981-01-29

    Temperature profiles at elevated temperature conditions are monitored by use of an elongated device having two conductors spaced by the minimum distance required to normally maintain an open circuit between them. The melting point of one conductor is selected at the elevated temperature being detected, while the melting point of the other is higher. As the preselected temperature is reached, liquid metal will flow between the conductors creating short circuits which are detectable as to location.

  1. Temperature profile detector

    DOE Patents [OSTI]

    Tokarz, Richard D.

    1983-01-01

    Temperature profiles at elevated temperature conditions are monitored by use of an elongated device having two conductors spaced by the minimum distance required to normally maintain an open circuit between them. The melting point of one conductor is selected at the elevated temperature being detected, while the melting point of the other is higher. As the preselected temperature is reached, liquid metal will flow between the conductors, creating short circuits which are detectable as to location.

  2. LANL Data Profile

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

    Data Profile 2012-2013 Total: 10,407 Quick Facts FY2013 Operating Budget ..... $1.95 billion Operating costs 54% NNSA Weapons Programs 12% Work for other agencies 10% Nonproliferation programs 9% Environmental management 6% Safeguards and security 5% DOE Office of Science 4% Energy and related programs Workforce Demographics Average Age: 46 67% male, 33% female 45% ethnic minorities 67% university degrees -28% undergraduate degrees -17% graduate degrees -22% PhD degrees Capital/Construction

  3. Surface profiling interferometer

    DOE Patents [OSTI]

    Takacs, Peter Z.; Qian, Shi-Nan

    1989-01-01

    The design of a long-trace surface profiler for the non-contact measurement of surface profile, slope error and curvature on cylindrical synchrotron radiation (SR) mirrors. The optical system is based upon the concept of a pencil-beam interferometer with an inherent large depth-of-field. The key feature of the optical system is the zero-path-difference beam splitter, which separates the laser beam into two colinear, variable-separation probe beams. A linear array detector is used to record the interference fringe in the image, and analysis of the fringe location as a function of scan position allows one to reconstruct the surface profile. The optical head is mounted on an air bearing slide with the capability to measure long aspheric optics, typical of those encountered in SR applications. A novel feature of the optical system is the use of a transverse "outrigger" beam which provides information on the relative alignment of the scan axis to the cylinder optic symmetry axis.

  4. Weather Research and Forecasting Model with Vertical Nesting Capability

    Energy Science and Technology Software Center (OSTI)

    2014-08-01

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

  5. ARM - VAP Product - 10rlprofbe1news

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

    news Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027250 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : 10RLPROFBE1NEWS Raman LIDAR (RL): Best-estimate state of the atmospheric profiles from Raman Lidar Active Dates 2004.10.01 - 2015.09.21 Originating VAP Process Raman LIDAR Vertical Profiles : RLPROF Measurements The measurements

  6. DRAFT Microwave Radiometer Profiler Handbook

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

    a DOE grant, which will provide continuous measurements of the vertical distributions of temperature, water vapor, and cloud liquid water from the ground up to 10 km for all...

  7. Roles of Wind Shear at Different Vertical Levels, Part I: Cloud System Organization and Properties

    SciTech Connect (OSTI)

    Chen, Qian; Fan, Jiwen; Hagos, Samson M.; Gustafson, William I.; Berg, Larry K.

    2015-07-16

    Understanding of critical processes that contribute to the organization of mesoscale convective systems is important for accurate weather forecast and climate prediction. In this study, we investigate the effects of wind shear at different vertical levels on the organization and properties of cloud systems using the Weather Research & Forecasting (WRF) model with a spectral-bin microphysical scheme. The sensitivity experiments are performed by increasing wind shear at the lower (0-5 km), middle (5-10 km), upper (> 10 km) and the entire troposphere, respectively, based on a control run for a mesoscale convective system (MCS) with weak wind shear. We find that increasing wind shear at the both lower and middle vertical levels reduces the domain-accumulated precipitation and the occurrence of heavy rain, while increasing wind shear at the upper levels changes little on precipitation. Although increasing wind shear at the lower-levels is favorable for a more organized quasi-line system which leads to enlarged updraft core area, and enhanced updraft velocities and vertical mass fluxes, the precipitation is still reduced by 18.6% compared with the control run due to stronger rain evaporation induced by the low-level wind shear. Strong wind shear in the middle levels only produces a strong super-cell over a narrow area, leading to 67.3% reduction of precipitation over the domain. By increasing wind shear at the upper levels only, the organization of the convection is not changed much, but the increased cloudiness at the upper-levels leads to stronger surface cooling and then stabilizes the atmosphere and weakens the convection. When strong wind shear exists over the entire vertical profile, a deep dry layer (2-9 km) is produced and convection is severely suppressed. There are fewer very-high (cloud top height (CTH) > 15 km) and very-deep (cloud thickness > 15 km) clouds, and the precipitation is only about 11.8% of the control run. The changes in cloud microphysical properties further explain the reduction of surface rain by strong wind shear especially at the lower- and middle-levels. The insights obtained from this study help us better understand the cloud system organization and provide foundation for better parameterizing organized MCS.

  8. Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals

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

    Shupe, Matthew

    Time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of Alaska (NSA) site during periods covering the Mixed-Phase Arctic Cloud Experiment (MPACE, late September through early November 2004) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC, April-early May 2008). These time periods will be expanded in a future submission.

  9. Vertical-cavity surface-emitting laser device

    DOE Patents [OSTI]

    Hadley, G. Ronald; Lear, Kevin L.; Awyoung, Adelbert; Choquette, Kent D.

    1999-01-01

    A vertical-cavity surface-emitting laser device. The vertical-cavity surface-emitting laser (VCSEL) device comprises one or more VCSELs with each VCSEL having a mode-control region thereabout, with the mode-control region forming an optical cavity with an effective cavity length different from the effective cavity length within each VCSEL. Embodiments of the present invention can be formed as single VCSELs and as one- or two-dimensional arrays of VCSELs, with either an index-guided mode of operation or an index anti-guided mode of operation being defined by a sign of the difference in the two effective cavity lengths.

  10. Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals

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

    Shupe, Matthew

    2013-05-22

    Time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of Alaska (NSA) site during periods covering the Mixed-Phase Arctic Cloud Experiment (MPACE, late September through early November 2004) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC, April-early May 2008). These time periods will be expanded in a future submission.

  11. Marine boundary layer structure as observed by space-based Lidar

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

    Luo, T.; Wang, Z.; Zhang, D.

    2015-12-03

    The marine boundary layer (MBL) structure is important to the exchange of heat, momentum, and moisture between oceans and the low atmosphere and to the marine low cloud processes. This paper explores MBL structure over the eastern Pacific region with a new 4 year satellite-based dataset. The MBL aerosol lidar backscattering from the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) was used to identify the MBL top (BLH) and the mixing layer height (MLH). Results showed that MBL is generally decoupled with MLH / BLH ratio ranging from ? 0.5 to ? 0.8 and the MBL decoupling magnitude ismoremainly controlled by estimated inversion strength (EIS) that affects the cloud top entrainment process. The systematic differences between drizzling and non-drizzling stratocumulus tops, which may relate to the meso-scale circulations or gravity wave in MBL, also show dependence on EIS. Further analysis indicated that the MBL shows similar decoupled structure for clear sky and cumulus cloud-topped conditions, but is better mixed under stratiform cloud breakup and overcast conditions.less

  12. Lidar Investigation of Tropical Nocturnal Boundary Layer Aerosols and Cloud Macrophysics

    SciTech Connect (OSTI)

    Manoj, M. G.; Devara, PC S.; Taraphdar, Sourav

    2013-10-01

    Observational evidence of two-way association between nocturnal boundary layer aerosols and cloud macrophysical properties under different meteorological conditions is reported in this paper. The study has been conducted during 2008-09 employing a high space-time resolution polarimetric micro-pulse lidar over a tropical urban station in India. Firstly, the study highlights the crucial role of boundary layer aerosols and background meteorology on the formation and structure of low-level stratiform clouds in the backdrop of different atmospheric stability conditions. Turbulent mixing induced by the wind shear at the station, which is associated with a complex terrain, is found to play a pivotal role in the formation and structural evolution of nocturnal boundary layer clouds. Secondly, it is shown that the trapping of energy in the form of outgoing terrestrial radiation by the overlying low-level clouds can enhance the aerosol mixing height associated with the nocturnal boundary layer. To substantiate this, the long-wave heating associated with cloud capping has been quantitatively estimated in an indirect way by employing an Advanced Research Weather Research and Forecasting (WRF-ARW) model version 2.2 developed by National Center for Atmospheric Research (NCAR), Colorado, USA, and supplementary data sets; and differentiated against other heating mechanisms. The present investigation as well establishes the potential of lidar remote-sensing technique in exploring some of the intriguing aspects of the cloud-environment relationship.

  13. Field Test Results from Lidar Measured Yaw Control for Improved Yaw Alignment with the NREL Controls Advanced Research Turbine: Preprint

    SciTech Connect (OSTI)

    Scholbrock, A.; Fleming, P.; Wright, A.; Slinger, C.; Medley, J.; Harris, M.

    2014-12-01

    This paper describes field tests of a light detection and ranging (lidar) device placed forward looking on the nacelle of a wind turbine and used as a wind direction measurement to directly control the yaw position of a wind turbine. Conventionally, a wind turbine controls its yaw direction using a nacelle-mounted wind vane. If there is a bias in the measurement from the nacelle-mounted wind vane, a reduction in power production will be observed. This bias could be caused by a number of issues such as: poor calibration, electromagnetic interference, rotor wake, or other effects. With a lidar mounted on the nacelle, a measurement of the wind could be made upstream of the wind turbine where the wind is not being influenced by the rotor's wake or induction zone. Field tests were conducted with the lidar measured yaw system and the nacelle wind vane measured yaw system. Results show that a lidar can be used to effectively measure the yaw error of the wind turbine, and for this experiment, they also showed an improvement in power capture because of reduced yaw misalignment when compared to the nacelle wind vane measured yaw system.

  14. Field Testing of LIDAR-Assisted Feedforward Control Algorithms for Improved Speed Control and Fatigue Load Reduction on a 600-kW Wind Turbine: Preprint

    SciTech Connect (OSTI)

    Kumar, Avishek A.; Bossanyi, Ervin A.; Scholbrock, Andrew K.; Fleming, Paul; Boquet, Mathieu; Krishnamurthy, Raghu

    2015-12-14

    A severe challenge in controlling wind turbines is ensuring controller performance in the presence of a stochastic and unknown wind field, relying on the response of the turbine to generate control actions. Recent technologies such as LIDAR, allow sensing of the wind field before it reaches the rotor. In this work a field-testing campaign to test LIDAR Assisted Control (LAC) has been undertaken on a 600-kW turbine using a fixed, five-beam LIDAR system. The campaign compared the performance of a baseline controller to four LACs with progressively lower levels of feedback using 35 hours of collected data.

  15. EIA - State Electricity Profiles

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

    Arkansas Electricity Profile 2014 Table 1. 2014 Summary statistics (Arkansas) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,754 30 Electric utilities 11,526 23 IPP & CHP 3,227 29 Net generation (megawatthours) 61,592,137 24 Electric utilities 48,752,895 18 IPP & CHP 12,839,241 28 Emissions Sulfur dioxide (short tons) 89,528 15 Nitrogen oxide (short tons) 47,048 20 Carbon dioxide (thousand metric tons) 37,289 23 Sulfur dioxide (lbs/MWh) 2.9 9 Nitrogen oxide

  16. Environmental profile of Paraguay

    SciTech Connect (OSTI)

    Not Available

    1985-12-01

    The social, cultural, physical, and economic dimensions of Paraguay's environment are analyzed to identify main environmental features and problems and to recommend specific actions. The environmental profile presents an overview of Paraguay's ethno-historic and anthropological background, present-day society, and the impact of pollution. Descriptions are presented of: the legal and institutional aspects of environmental policy; the structure and performance of the economy, with focus on the primary and energy sectors; physical resources (climate, geological, mineral, soil, and water resources); and biological resources (vegetation, wild animal life, protected areas, and fish resources).

  17. EIA - State Electricity Profiles

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

    Washington Electricity Profile 2014 Table 1. 2014 Summary statistics (Washington) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 30,949 10 Electric utilities 27,376 5 IPP & CHP 3,573 26 Net generation (megawatthours) 116,334,363 11 Electric utilities 102,294,256 5 IPP & CHP 14,040,107 24 Emissions Sulfur Dioxide (short tons) 13,716 36 Nitrogen Oxide (short tons) 18,316 40 Carbon Dioxide (thousand metric tons) 12,427 398 Sulfur Dioxide (lbs/MWh) 0.2 44

  18. EIA - State Electricity Profiles

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

    West Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (West Virginia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,276 25 Electric utilities 11,981 21 IPP & CHP 4,295 21 Net generation (megawatthours) 81,059,577 19 Electric utilities 63,331,833 15 IPP & CHP 17,727,743 17 Emissions Sulfur Dioxide (short tons) 102,406 12 Nitrogen Oxide (short tons) 72,995 11 Carbon Dioxide (thousand metric tons) 73,606 9 Sulfur Dioxide (lbs/MWh) 2.5 14

  19. EIA - State Electricity Profiles

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

    Wisconsin Electricity Profile 2014 Table 1. 2014 Summary statistics (Wisconsin) Item Value Rank Primary Energy Source Coal Net summer capacity (megawatts) 17,166 23 Electric utilities 14,377 18 IPP & CHP 2,788 32 Net generation (megawatthours) 61,064,796 25 Electric utilities 47,301,782 20 IPP & CHP 13,763,014 26 Emissions Sulfur Dioxide (short tons) 81,239 17 Nitrogen Oxide (short tons) 39,597 27 Carbon Dioxide (thousand metric tons) 43,750 19 Sulfur Dioxide (lbs/MWh) 2.7 12 Nitrogen

  20. EIA - State Electricity Profiles

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

    Wyoming Electricity Profile 2014 Table 1. 2014 Summary statistics (Wyoming) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,458 37 Electric utilities 7,233 32 IPP & CHP 1,225 43 Net generation (megawatthours) 49,696,183 32 Electric utilities 45,068,982 23 IPP & CHP 4,627,201 41 Emissions Sulfur Dioxide (short tons) 45,704 24 Nitrogen Oxide (short tons) 49,638 18 Carbon Dioxide (thousand metric tons) 47,337 17 Sulfur Dioxide (lbs/MWh) 1.8 22 Nitrogen Oxide

  1. EIA - State Nuclear Profiles

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

    Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the

  2. Profile Interface Generator

    Energy Science and Technology Software Center (OSTI)

    2013-11-09

    The Profile Interface Generator (PIG) is a tool for loosely coupling applications and performance tools. It enables applications to write code that looks like standard C and Fortran functions calls, without requiring that applications link to specific implementations of those function calls. Performance tools can register with PIG in order to listen to only the calls that give information they care about. This interface reduces the build and configuration burden on application developers and allowsmore » semantic instrumentation to live in production codes without interfering with production runs.« less

  3. Compare Gene Profiles

    Energy Science and Technology Software Center (OSTI)

    2014-05-31

    Compare Gene Profiles (CGP) performs pairwise gene content comparisons among a relatively large set of related bacterial genomes. CGP performs pairwise BLAST among gene calls from a set of input genome and associated annotation files, and combines the results to generate lists of common genes, unique genes, homologs, and genes from each genome that differ substantially in length from corresponding genes in the other genomes. CGP is implemented in Python and runs in a Linuxmore » environment in serial or parallel mode.« less

  4. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the

  5. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Arizona Electricity Profile 2014 Table 1. 2014 Summary statistics (Arizona) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 28,249 13 Electric utilities 21,311 11 IPP & CHP 6,938 17 Net generation (megawatthours) 112,257,187 13 Electric utilities 94,847,135 8 IPP & CHP 17,410,053 19 Emissions Sulfur dioxide (short tons) 22,597 32 Nitrogen oxide (short tons) 56,726 17 Carbon dioxide (thousand metric tons) 53,684 16 Sulfur dioxide (lbs/MWh) 0.4 41 Nitrogen oxide

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    California Electricity Profile 2014 Table 1. 2014 Summary statistics (California) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 74,646 2 Electric utilities 28,201 4 IPP & CHP 46,446 2 Net generation (megawatthours) 198,807,622 5 Electric utilities 71,037,135 14 IPP & CHP 127,770,487 4 Emissions Sulfur dioxide (short tons) 3,102 46 Nitrogen oxide (short tons) 98,348 5 Carbon dioxide (thousand metric tons) 57,223 14 Sulfur dioxide (lbs/MWh) 0.0 49

  7. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Colorado Electricity Profile 2014 Table 1. 2014 Summary statistics (Colorado) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,933 29 Electric utilities 10,204 28 IPP & CHP 4,729 18 Net generation (megawatthours) 53,847,386 30 Electric utilities 43,239,615 26 IPP & CHP 10,607,771 30 Emissions Sulfur dioxide (short tons) 28,453 30 Nitrogen oxide (short tons) 44,349 24 Carbon dioxide (thousand metric tons) 38,474 22 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  8. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Connecticut Electricity Profile 2014 Table 1. 2014 Summary statistics (Connecticut) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 8,832 35 Electric utilities 161 45 IPP & CHP 8,671 12 Net generation (megawatthours) 33,676,980 38 Electric utilities 54,693 45 IPP & CHP 33,622,288 11 Emissions Sulfur dioxide (short tons) 1,897 47 Nitrogen oxide (short tons) 8,910 45 Carbon dioxide (thousand metric tons) 7,959 41 Sulfur dioxide (lbs/MWh) 0.1 46 Nitrogen oxide

  9. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Delaware Electricity Profile 2014 Table 1. 2014 Summary statistics (Delaware) Item Value U.S. rank Primary energy source Natural gas Net summer capacity (megawatts) 3,086 46 Electric utilities 102 46 IPP & CHP 2,984 31 Net generation (megawatthours) 7,703,584 47 Electric utilities 49,050 46 IPP & CHP 7,654,534 35 Emissions Sulfur dioxide (short tons) 824 48 Nitrogen oxide (short tons) 2,836 48 Carbon dioxide (thousand metric tons) 4,276 43 Sulfur dioxide (lbs/MWh) 0.2 45 Nitrogen oxide

  10. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    District of Columbia Electricity Profile 2014 Table 1. 2014 Summary statistics (District of Columbia) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 9 51 Electric utilities IPP & CHP 9 51 Net generation (megawatthours) 67,612 51 Electric utilities IPP & CHP 67,612 51 Emissions Sulfur dioxide (short tons) 0 51 Nitrogen oxide (short tons) 147 51 Carbon dioxide (thousand metric tons) 48 50 Sulfur dioxide (lbs/MWh) 0.0 51 Nitrogen oxide (lbs/MWh) 4.3 3

  11. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Florida Electricity Profile 2014 Table 1. 2014 Summary statistics (Florida) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 59,440 3 Electric utilities 51,775 1 IPP & CHP 7,665 15 Net generation (megawatthours) 230,015,937 2 Electric utilities 211,970,587 1 IPP & CHP 18,045,350 15 Emissions Sulfur dioxide (short tons) 126,600 10 Nitrogen oxide (short tons) 91,356 6 Carbon dioxide (thousand metric tons) 111,549 2 Sulfur dioxide (lbs/MWh) 1.1 30 Nitrogen

  12. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Georgia Electricity Profile 2014 Table 1. 2014 Summary statistics (Georgia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 38,250 7 Electric utilities 28,873 3 IPP & CHP 9,377 10 Net generation (megawatthours) 125,837,224 10 Electric utilities 109,523,336 4 IPP & CHP 16,313,888 20 Emissions Sulfur dioxide (short tons) 105,998 11 Nitrogen oxide (short tons) 58,144 14 Carbon dioxide (thousand metric tons) 62,516 12 Sulfur dioxide (lbs/MWh) 1.7 24 Nitrogen oxide

  13. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hawaii Electricity Profile 2014 Table 1. 2014 Summary statistics (Hawaii) Item Value Rank Primary energy source Petroleum Net summer capacity (megawatts) 2,672 47 Electric utilities 1,732 40 IPP & CHP 939 45 Net generation (megawatthours) 10,204,158 46 Electric utilities 5,517,389 39 IPP & CHP 4,686,769 40 Emissions Sulfur dioxide (short tons) 21,670 33 Nitrogen oxide (short tons) 26,928 31 Carbon dioxide (thousand metric tons) 7,313 42 Sulfur dioxide (lbs/MWh) 4.2 4 Nitrogen oxide

  14. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Illinois Electricity Profile 2014 Table 1. 2014 Summary statistics (Illinois) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 44,727 4 Electric utilities 5,263 35 IPP & CHP 39,464 4 Net generation (megawatthours) 202,143,878 4 Electric utilities 10,457,398 36 IPP & CHP 191,686,480 3 Emissions Sulfur dioxide (short tons) 187,536 6 Nitrogen oxide (short tons) 58,076 15 Carbon dioxide (thousand metric tons) 96,624 6 Sulfur dioxide (lbs/MWh) 1.9 20 Nitrogen

  15. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Indiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Indiana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 27,499 14 Electric utilities 23,319 7 IPP & CHP 4,180 23 Net generation (megawatthours) 115,395,392 12 Electric utilities 100,983,285 6 IPP & CHP 14,412,107 22 Emissions Sulfur dioxide (short tons) 332,396 3 Nitrogen oxide (short tons) 133,412 3 Carbon dioxide (thousand metric tons) 103,391 3 Sulfur dioxide (lbs/MWh) 5.8 1 Nitrogen oxide

  16. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Iowa Electricity Profile 2014 Table 1. 2014 Summary statistics (Iowa) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,507 24 Electric utilities 12,655 20 IPP & CHP 3,852 25 Net generation (megawatthours) 56,853,282 28 Electric utilities 43,021,954 27 IPP & CHP 13,831,328 25 Emissions Sulfur dioxide (short tons) 74,422 19 Nitrogen oxide (short tons) 41,793 25 Carbon dioxide (thousand metric tons) 39,312 21 Sulfur dioxide (lbs/MWh) 2.6 13 Nitrogen oxide

  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Kansas Electricity Profile 2014 Table 1. 2014 Summary statistics (Kansas) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,227 31 Electric utilities 11,468 24 IPP & CHP 2,759 33 Net generation (megawatthours) 49,728,363 31 Electric utilities 39,669,629 29 IPP & CHP 10,058,734 31 Emissions Sulfur dioxide (short tons) 31,550 29 Nitrogen oxide (short tons) 29,014 29 Carbon dioxide (thousand metric tons) 31,794 29 Sulfur dioxide (lbs/MWh) 1.3 29 Nitrogen oxide

  18. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Kentucky Electricity Profile 2014 Table 1. 2014 Summary statistics (Kentucky) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,878 21 Electric utilities 19,473 15 IPP & CHP 1,405 40 Net generation (megawatthours) 90,896,435 17 Electric utilities 90,133,403 10 IPP & CHP 763,032 49 Emissions Sulfur dioxide (short tons) 204,873 5 Nitrogen oxide (short tons) 89,253 7 Carbon dioxide (thousand metric tons) 85,795 7 Sulfur dioxide (lbs/MWh) 4.5 3 Nitrogen oxide

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Louisiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Louisiana) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 26,657 15 Electric utilities 18,120 16 IPP & CHP 8,537 13 Net generation (megawatthours) 104,229,402 15 Electric utilities 58,518,271 17 IPP & CHP 45,711,131 8 Emissions Sulfur dioxide (short tons) 96,240 14 Nitrogen oxide (short tons) 83,112 8 Carbon dioxide (thousand metric tons) 57,137 15 Sulfur dioxide (lbs/MWh) 1.8 21

  20. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Maine Electricity Profile 2014 Table 1. 2014 Summary statistics (Maine) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 4,470 43 Electric utilities 10 49 IPP & CHP 4,460 20 Net generation (megawatthours) 13,248,710 44 Electric utilities 523 49 IPP & CHP 13,248,187 27 Emissions Sulfur dioxide (short tons) 10,990 38 Nitrogen oxide (short tons) 8,622 46 Carbon dioxide (thousand metric tons) 3,298 46 Sulfur dioxide (lbs/MWh) 1.7 25 Nitrogen oxide (lbs/MWh)

  1. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Maryland Electricity Profile 2014 Table 1. 2014 Summary statistics (Maryland) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 12,264 33 Electric utilities 85 47 IPP & CHP 12,179 8 Net generation (megawatthours) 37,833,652 35 Electric utilities 20,260 47 IPP & CHP 37,813,392 9 Emissions Sulfur dioxide (short tons) 41,370 26 Nitrogen oxide (short tons) 20,626 35 Carbon dioxide (thousand metric tons) 20,414 34 Sulfur dioxide (lbs/MWh) 2.2 18 Nitrogen oxide

  2. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Massachusetts Electricity Profile 2014 Table 1. 2014 Summary statistics (Massachusetts) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 13,128 32 Electric utilities 971 42 IPP & CHP 12,157 9 Net generation (megawatthours) 31,118,591 40 Electric utilities 679,986 43 IPP & CHP 30,438,606 12 Emissions Sulfur dioxide (short tons) 6,748 41 Nitrogen oxide (short tons) 13,831 43 Carbon dioxide (thousand metric tons) 12,231 39 Sulfur dioxide (lbs/MWh) 0.4 40

  3. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Michigan Electricity Profile 2014 Table 1. 2014 Summary statistics (Michigan) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,435 12 Electric utilities 22,260 9 IPP & CHP 8,175 14 Net generation (megawatthours) 106,816,991 14 Electric utilities 84,075,322 12 IPP & CHP 22,741,669 13 Emissions Sulfur dioxide (short tons) 173,521 7 Nitrogen oxide (short tons) 77,950 9 Carbon dioxide (thousand metric tons) 64,062 11 Sulfur dioxide (lbs/MWh) 3.2 7 Nitrogen oxide

  4. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Minnesota Electricity Profile 2014 Table 1. 2014 Summary statistics (Minnesota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 15,621 28 Electric utilities 11,557 22 IPP & CHP 4,064 24 Net generation (megawatthours) 56,998,330 27 Electric utilities 45,963,271 22 IPP & CHP 11,035,059 29 Emissions Sulfur dioxide (short tons) 39,272 27 Nitrogen oxide (short tons) 38,373 28 Carbon dioxide (thousand metric tons) 32,399 28 Sulfur dioxide (lbs/MWh) 1.4 27 Nitrogen

  5. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mississippi Electricity Profile 2014 Table 1. 2014 Summary statistics (Mississippi) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 16,090 26 Electric utilities 13,494 19 IPP & CHP 2,597 34 Net generation (megawatthours) 55,127,092 29 Electric utilities 47,084,382 21 IPP & CHP 8,042,710 34 Emissions Sulfur dioxide (short tons) 101,093 13 Nitrogen oxide (short tons) 23,993 32 Carbon dioxide (thousand metric tons) 24,037 33 Sulfur dioxide (lbs/MWh) 3.7 5

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Missouri Electricity Profile 2014 Table 1. 2014 Summary statistics (Missouri) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 21,790 19 Electric utilities 20,538 13 IPP & CHP 1,252 42 Net generation (megawatthours) 87,834,468 18 Electric utilities 85,271,253 11 IPP & CHP 2,563,215 46 Emissions Sulfur dioxide (short tons) 149,842 9 Nitrogen oxide (short tons) 77,749 10 Carbon dioxide (thousand metric tons) 75,735 8 Sulfur dioxide (lbs/MWh) 3.4 6 Nitrogen oxide

  7. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Montana Electricity Profile 2014 Table 1. 2014 Summary statistics (Montana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,330 41 Electric utilities 3,209 38 IPP & CHP 3,121 30 Net generation (megawatthours) 30,257,616 41 Electric utilities 12,329,411 35 IPP & CHP 17,928,205 16 Emissions Sulfur dioxide (short tons) 14,426 34 Nitrogen oxide (short tons) 20,538 36 Carbon dioxide (thousand metric tons) 17,678 36 Sulfur dioxide (lbs/MWh) 1.0 34 Nitrogen oxide

  8. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nebraska Electricity Profile 2014 Table 1. 2014 Summary statistics (Nebraska) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,732 36 Electric utilities 7,913 30 IPP & CHP 819 46 Net generation (megawatthours) 39,431,291 34 Electric utilities 36,560,960 30 IPP & CHP 2,870,331 45 Emissions Sulfur dioxide (short tons) 63,994 22 Nitrogen oxide (short tons) 27,045 30 Carbon dioxide (thousand metric tons) 26,348 31 Sulfur dioxide (lbs/MWh) 3.2 8 Nitrogen oxide

  9. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nevada Electricity Profile 2014 Table 1. 2014 Summary statistics (Nevada) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 10,485 34 Electric utilities 8,480 29 IPP & CHP 2,006 35 Net generation (megawatthours) 36,000,537 37 Electric utilities 27,758,728 33 IPP & CHP 8,241,809 33 Emissions Sulfur dioxide (short tons) 10,229 40 Nitrogen oxide (short tons) 18,606 39 Carbon dioxide (thousand metric tons) 16,222 37 Sulfur dioxide (lbs/MWh) 0.4 38 Nitrogen

  10. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hampshire Electricity Profile 2013 Table 1. 2013 Summary statistics (New Hampshire) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 4,413 44 Electric utilities 1,121 41 IPP & CHP 3,292 30 Net generation (megawatthours) 19,778,520 42 Electric utilities 2,266,903 41 IPP & CHP 17,511,617 20 Emissions Sulfur dioxide (short tons) 3,733 44 Nitrogen oxide (short tons) 5,057 47 Carbon dioxide (thousand metric tons) 3,447 46 Sulfur dioxide (lbs/MWh) 0.4 45 Nitrogen

  11. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Jersey Electricity Profile 2014 Table 1. 2014 Summary statistics (New Jersey) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 19,399 22 Electric utilities 544 43 IPP & CHP 18,852 7 Net generation (megawatthours) 68,051,086 23 Electric utilities -117,003 50 IPP & CHP 68,168,089 7 Emissions Sulfur dioxide (short tons) 3,369 44 Nitrogen oxide (short tons) 15,615 41 Carbon dioxide (thousand metric tons) 17,905 35 Sulfur dioxide (lbs/MWh) 0.1 47 Nitrogen oxide

  12. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mexico Electricity Profile 2014 Table 1. 2014 Summary statistics (New Mexico) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 8,072 39 Electric utilities 6,094 33 IPP & CHP 1,978 37 Net generation (megawatthours) 32,306,210 39 Electric utilities 26,422,867 34 IPP & CHP 5,883,343 38 Emissions Sulfur dioxide (short tons) 12,064 37 Nitrogen oxide (short tons) 46,192 22 Carbon dioxide (thousand metric tons) 24,712 32 Sulfur dioxide (lbs/MWh) 0.7 37 Nitrogen

  13. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    York Electricity Profile 2014 Table 1. 2014 Summary statistics (New York) Item Value Rank Primary energy source Natural Gas Net summer capacity (megawatts) 40,404 6 Electric utilities 10,989 27 IPP & CHP 29,416 5 Net generation (megawatthours) 137,122,202 7 Electric utilities 34,082 31 IPP & CHP 103,039,347 5 Emissions Sulfur dioxide (short tons) 31,878 28 Nitrogen oxide (short tons) 46,971 21 Carbon dioxide (thousand metric tons) 33,240 26 Sulfur dioxide (lbs/MWh) 0.5 39 Nitrogen oxide

  14. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Electricity Profile 2013 Table 1. 2013 Summary statistics (North Carolina) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,048 12 Electric utilities 26,706 6 IPP & CHP 3,342 29 Net generation (megawatthours) 125,936,293 9 Electric utilities 116,317,050 2 IPP & CHP 9,619,243 31 Emissions Sulfur dioxide (short tons) 71,293 20 Nitrogen oxide (short tons) 62,397 12 Carbon dioxide (thousand metric tons) 56,940 14 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  15. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Dakota Electricity Profile 2013 Table 1. 2013 Summary statistics (North Dakota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,566 40 Electric utilities 5,292 34 IPP & CHP 1,274 41 Net generation (megawatthours) 35,021,673 39 Electric utilities 31,044,374 32 IPP & CHP 3,977,299 42 Emissions Sulfur dioxide (short tons) 56,854 23 Nitrogen oxide (short tons) 48,454 22 Carbon dioxide (thousand metric tons) 30,274 28 Sulfur dioxide (lbs/MWh) 3.2 11 Nitrogen oxide

  16. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Ohio Electricity Profile 2014 Table 1. 2014 Summary statistics (Ohio) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 31,507 9 Electric utilities 11,134 26 IPP & CHP 20,372 6 Net generation (megawatthours) 134,476,405 8 Electric utilities 43,290,512 25 IPP & CHP 91,185,893 7 Emissions Sulfur dioxide (short tons) 355,108 1 Nitrogen oxide (short tons) 105,688 4 Carbon dioxide (thousand metrictons) 98,650 5 Sulfur dioxide (lbs/MWh) 5.3 2 Nitrogen oxide (lbs/MWh)

  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oklahoma Electricity Profile 2014 Table 1. 2014 Summary statistics (Oklahoma) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 24,048 17 Electric utilities 17,045 17 IPP & CHP 7,003 16 Net generation (megawatthours) 70,155,504 22 Electric utilities 48,096,026 19 IPP & CHP 22,059,478 14 Emissions Sulfur dioxide 78,556 18 Nitrogen oxide 44,874 23 Carbon dioxide (thousand metric tons) 43,994 18 Sulfur dioxide (lbs/MWh) 2.2 17 Nitrogen oxide (lbs/MWh) 1.3 26

  18. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Pennsylvania Electricity Profile 2014 Table 1. 2014 Summary statistics (Pennsylvania) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 42,723 5 Electric utilities 39 48 IPP & CHP 42,685 3 Net generation (megawatthours) 221,058,365 3 Electric utilities 90,994 44 IPP & CHP 220,967,371 2 Emissions Sulfur dioxide (short tons) 297,598 4 Nitrogen oxide (short tons) 141,486 2 Carbon dioxide (thousand metric tons) 101,361 4 Sulfur dioxide (lbs/MWh) 2.7 11 Nitrogen oxide

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Rhode Island Electricity Profile 2014 Table 1. 2014 Summary statistics (Rhode Island) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 1,810 49 Electric utilities 8 50 IPP & CHP 1,803 38 Net generation (megawatthours) 6,281,748 49 Electric utilities 10,670 48 IPP & CHP 6,271,078 36 Emissions Sulfur dioxide (short tons) 100 49 Nitrogen oxide (short tons) 1,224 49 Carbon dioxide (thousand metric tons) 2,566 48 Sulfur dioxide (lbs/MWh) 0.0 48 Nitrogen oxide

  20. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Electricity Profile 2014 Table 1. 2014 Summary statistics (South Carolina) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 22,824 18 Electric utilities 20,836 12 IPP & CHP 1,988 36 Net generation (megawatthours) 97,158,465 16 Electric utilities 93,547,004 9 IPP & CHP 3,611,461 43 Emissions Sulfur dioxide (short tons) 43,659 25 Nitrogen oxide (short tons) 21,592 34 Carbon dioxide (thousand metric tons) 33,083 27 Sulfur dioxide (lbs/MWh) 0.9 35

  1. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Tennessee Electricity Profile 2014 Table 1. 2014 Summary statistics (Tennessee) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,998 20 Electric utilities 20,490 14 IPP & CHP 508 47 Net generation (megawatthours) 79,506,886 20 Electric utilities 76,986,629 13 IPP & CHP 2,520,257 47 Emissions Sulfur dioxide (short tons) 89,357 16 Nitrogen oxide (short tons) 23,913 33 Carbon dioxide (thousand metric tons) 41,405 20 Sulfur dioxide (lbs/MWh) 2.2 16 Nitrogen oxide

  2. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Texas Electricity Profile 2014 Table 1. 2014 Summary statistics (Texas) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 112,914 1 Electric utilities 29,113 2 IPP & CHP 83,800 1 Net generation (megawatthours) 437,629,668 1 Electric utilities 94,974,953 7 IPP & CHP 342,654,715 1 Emissions Sulfur Dioxide (short tons) 349,245 2 Nitrogen Oxide short tons) 229,580 1 Carbon Dioxide (thousand metric tons) 254,488 1 Sulfur Dioxide (lbs/MWh) 1.6 26 Nitrogen Oxide

  3. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    United States Electricity Profile 2014 Table 1. 2014 Summary statistics (United States) Item Value Primary energy source Coal Net summer capacity (megawatts) 1,068,422 Electric utilities 616,632 IPP & CHP 451,791 Net generation (megawatthours) 4,093,606,005 Electric utilities 2,382,473,495 IPP & CHP 1,711,132,510 Emissions Sulfur Dioxide (short tons) 3,842,005 Nitrogen Oxide (short tons) 2,400,375 Carbon Dioxide (thousand metric tons) 2,160,342 Sulfur Dioxide (lbs/MWh) 1.9 Nitrogen Oxide

  4. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Vermont Electricity Profile 2014 Table 1. 2014 Summary statistics (Vermont) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 650 50 Electric utilities 337 44 IPP & CHP 313 49 Net generation (megawatthours) 7,031,394 48 Electric utilities 868,079 42 IPP & CHP 6,163,315 37 Emissions Sulfur Dioxide (short tons) 71 50 Nitrogen Oxide (short tons) 737 50 Carbon Dioxide (thousand metric tons) 14 51 Sulfur Dioxide (lbs/MWh) 0.0 50 Nitrogen Oxide (lbs/MWh) 0.2 51

  5. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (Virginia) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 26,292 16 Electric utilities 22,062 10 IPP & CHP 4,231 22 Net generation (megawatthours) 77,137,438 21 Electric utilities 62,966,914 16 IPP & CHP 14,170,524 23 Emissions Sulfur Dioxide (short tons) 68,550 20 Nitrogen Oxide (short tons) 40,656 26 Carbon Dioxide (thousand metric tons) 33,295 25 Sulfur Dioxide (lbs/MWh) 1.8 23 Nitrogen

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    West Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (West Virginia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,276 25 Electric utilities 11,981 21 IPP & CHP 4,295 21 Net generation (megawatthours) 81,059,577 19 Electric utilities 63,331,833 15 IPP & CHP 17,727,743 17 Emissions Sulfur Dioxide (short tons) 102,406 12 Nitrogen Oxide (short tons) 72,995 11 Carbon Dioxide (thousand metric tons) 73,606 9 Sulfur Dioxide (lbs/MWh) 2.5 14

  7. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wisconsin Electricity Profile 2014 Table 1. 2014 Summary statistics (Wisconsin) Item Value Rank Primary Energy Source Coal Net summer capacity (megawatts) 17,166 23 Electric utilities 14,377 18 IPP & CHP 2,788 32 Net generation (megawatthours) 61,064,796 25 Electric utilities 47,301,782 20 IPP & CHP 13,763,014 26 Emissions Sulfur Dioxide (short tons) 81,239 17 Nitrogen Oxide (short tons) 39,597 27 Carbon Dioxide (thousand metric tons) 43,750 19 Sulfur Dioxide (lbs/MWh) 2.7 12 Nitrogen

  8. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wyoming Electricity Profile 2014 Table 1. 2014 Summary statistics (Wyoming) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,458 37 Electric utilities 7,233 32 IPP & CHP 1,225 43 Net generation (megawatthours) 49,696,183 32 Electric utilities 45,068,982 23 IPP & CHP 4,627,201 41 Emissions Sulfur Dioxide (short tons) 45,704 24 Nitrogen Oxide (short tons) 49,638 18 Carbon Dioxide (thousand metric tons) 47,337 17 Sulfur Dioxide (lbs/MWh) 1.8 22 Nitrogen Oxide

  9. EIA - State Electricity Profiles

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

    Alaska Electricity Profile 2014 Table 1. 2014 Summary statistics (Alaska) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 2,464 48 Electric utilities 2,313 39 IPP & CHP 151 50 Net generation (megawatthours) 6,042,830 50 Electric utilities 5,509,991 40 IPP & CHP 532,839 50 Emissions Sulfur dioxide (short tons) 4,129 43 Nitrogen oxide (short tons) 19,281 38 Carbon dioxide (thousand metric tons) 3,558 44 Sulfur dioxide (lbs/MWh) 1.4 28 Nitrogen oxide

  10. EIA - State Electricity Profiles

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

    Arizona Electricity Profile 2014 Table 1. 2014 Summary statistics (Arizona) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 28,249 13 Electric utilities 21,311 11 IPP & CHP 6,938 17 Net generation (megawatthours) 112,257,187 13 Electric utilities 94,847,135 8 IPP & CHP 17,410,053 19 Emissions Sulfur dioxide (short tons) 22,597 32 Nitrogen oxide (short tons) 56,726 17 Carbon dioxide (thousand metric tons) 53,684 16 Sulfur dioxide (lbs/MWh) 0.4 41 Nitrogen oxide

  11. EIA - State Electricity Profiles

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

    California Electricity Profile 2014 Table 1. 2014 Summary statistics (California) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 74,646 2 Electric utilities 28,201 4 IPP & CHP 46,446 2 Net generation (megawatthours) 198,807,622 5 Electric utilities 71,037,135 14 IPP & CHP 127,770,487 4 Emissions Sulfur dioxide (short tons) 3,102 46 Nitrogen oxide (short tons) 98,348 5 Carbon dioxide (thousand metric tons) 57,223 14 Sulfur dioxide (lbs/MWh) 0.0 49

  12. EIA - State Electricity Profiles

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

    Colorado Electricity Profile 2014 Table 1. 2014 Summary statistics (Colorado) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,933 29 Electric utilities 10,204 28 IPP & CHP 4,729 18 Net generation (megawatthours) 53,847,386 30 Electric utilities 43,239,615 26 IPP & CHP 10,607,771 30 Emissions Sulfur dioxide (short tons) 28,453 30 Nitrogen oxide (short tons) 44,349 24 Carbon dioxide (thousand metric tons) 38,474 22 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  13. EIA - State Electricity Profiles

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

    Connecticut Electricity Profile 2014 Table 1. 2014 Summary statistics (Connecticut) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 8,832 35 Electric utilities 161 45 IPP & CHP 8,671 12 Net generation (megawatthours) 33,676,980 38 Electric utilities 54,693 45 IPP & CHP 33,622,288 11 Emissions Sulfur dioxide (short tons) 1,897 47 Nitrogen oxide (short tons) 8,910 45 Carbon dioxide (thousand metric tons) 7,959 41 Sulfur dioxide (lbs/MWh) 0.1 46 Nitrogen oxide

  14. EIA - State Electricity Profiles

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

    Delaware Electricity Profile 2014 Table 1. 2014 Summary statistics (Delaware) Item Value U.S. rank Primary energy source Natural gas Net summer capacity (megawatts) 3,086 46 Electric utilities 102 46 IPP & CHP 2,984 31 Net generation (megawatthours) 7,703,584 47 Electric utilities 49,050 46 IPP & CHP 7,654,534 35 Emissions Sulfur dioxide (short tons) 824 48 Nitrogen oxide (short tons) 2,836 48 Carbon dioxide (thousand metric tons) 4,276 43 Sulfur dioxide (lbs/MWh) 0.2 45 Nitrogen oxide

  15. EIA - State Electricity Profiles

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

    District of Columbia Electricity Profile 2014 Table 1. 2014 Summary statistics (District of Columbia) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 9 51 Electric utilities IPP & CHP 9 51 Net generation (megawatthours) 67,612 51 Electric utilities IPP & CHP 67,612 51 Emissions Sulfur dioxide (short tons) 0 51 Nitrogen oxide (short tons) 147 51 Carbon dioxide (thousand metric tons) 48 50 Sulfur dioxide (lbs/MWh) 0.0 51 Nitrogen oxide (lbs/MWh) 4.3 3

  16. EIA - State Electricity Profiles

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

    Florida Electricity Profile 2014 Table 1. 2014 Summary statistics (Florida) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 59,440 3 Electric utilities 51,775 1 IPP & CHP 7,665 15 Net generation (megawatthours) 230,015,937 2 Electric utilities 211,970,587 1 IPP & CHP 18,045,350 15 Emissions Sulfur dioxide (short tons) 126,600 10 Nitrogen oxide (short tons) 91,356 6 Carbon dioxide (thousand metric tons) 111,549 2 Sulfur dioxide (lbs/MWh) 1.1 30 Nitrogen

  17. EIA - State Electricity Profiles

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

    Georgia Electricity Profile 2014 Table 1. 2014 Summary statistics (Georgia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 38,250 7 Electric utilities 28,873 3 IPP & CHP 9,377 10 Net generation (megawatthours) 125,837,224 10 Electric utilities 109,523,336 4 IPP & CHP 16,313,888 20 Emissions Sulfur dioxide (short tons) 105,998 11 Nitrogen oxide (short tons) 58,144 14 Carbon dioxide (thousand metric tons) 62,516 12 Sulfur dioxide (lbs/MWh) 1.7 24 Nitrogen oxide

  18. EIA - State Electricity Profiles

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

    Hawaii Electricity Profile 2014 Table 1. 2014 Summary statistics (Hawaii) Item Value Rank Primary energy source Petroleum Net summer capacity (megawatts) 2,672 47 Electric utilities 1,732 40 IPP & CHP 939 45 Net generation (megawatthours) 10,204,158 46 Electric utilities 5,517,389 39 IPP & CHP 4,686,769 40 Emissions Sulfur dioxide (short tons) 21,670 33 Nitrogen oxide (short tons) 26,928 31 Carbon dioxide (thousand metric tons) 7,313 42 Sulfur dioxide (lbs/MWh) 4.2 4 Nitrogen oxide

  19. EIA - State Electricity Profiles

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

    Idaho Electricity Profile 2014 Table 1. 2014 Summary statistics (Idaho) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 4,944 42 Electric utilities 3,413 37 IPP & CHP 1,531 39 Net generation (megawatthours) 15,184,417 43 Electric utilities 9,628,016 37 IPP & CHP 5,556,400 39 Emissions Sulfur dioxide (short tons) 5,777 42 Nitrogen oxide (short tons) 20,301 37 Carbon dioxide (thousand metric tons) 1,492 49 Sulfur dioxide (lbs/MWh) 0.8 36 Nitrogen oxide

  20. EIA - State Electricity Profiles

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

    Illinois Electricity Profile 2014 Table 1. 2014 Summary statistics (Illinois) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 44,727 4 Electric utilities 5,263 35 IPP & CHP 39,464 4 Net generation (megawatthours) 202,143,878 4 Electric utilities 10,457,398 36 IPP & CHP 191,686,480 3 Emissions Sulfur dioxide (short tons) 187,536 6 Nitrogen oxide (short tons) 58,076 15 Carbon dioxide (thousand metric tons) 96,624 6 Sulfur dioxide (lbs/MWh) 1.9 20 Nitrogen

  1. EIA - State Electricity Profiles

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

    Indiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Indiana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 27,499 14 Electric utilities 23,319 7 IPP & CHP 4,180 23 Net generation (megawatthours) 115,395,392 12 Electric utilities 100,983,285 6 IPP & CHP 14,412,107 22 Emissions Sulfur dioxide (short tons) 332,396 3 Nitrogen oxide (short tons) 133,412 3 Carbon dioxide (thousand metric tons) 103,391 3 Sulfur dioxide (lbs/MWh) 5.8 1 Nitrogen oxide

  2. EIA - State Electricity Profiles

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

    Iowa Electricity Profile 2014 Table 1. 2014 Summary statistics (Iowa) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,507 24 Electric utilities 12,655 20 IPP & CHP 3,852 25 Net generation (megawatthours) 56,853,282 28 Electric utilities 43,021,954 27 IPP & CHP 13,831,328 25 Emissions Sulfur dioxide (short tons) 74,422 19 Nitrogen oxide (short tons) 41,793 25 Carbon dioxide (thousand metric tons) 39,312 21 Sulfur dioxide (lbs/MWh) 2.6 13 Nitrogen oxide

  3. EIA - State Electricity Profiles

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

    Kansas Electricity Profile 2014 Table 1. 2014 Summary statistics (Kansas) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,227 31 Electric utilities 11,468 24 IPP & CHP 2,759 33 Net generation (megawatthours) 49,728,363 31 Electric utilities 39,669,629 29 IPP & CHP 10,058,734 31 Emissions Sulfur dioxide (short tons) 31,550 29 Nitrogen oxide (short tons) 29,014 29 Carbon dioxide (thousand metric tons) 31,794 29 Sulfur dioxide (lbs/MWh) 1.3 29 Nitrogen oxide

  4. EIA - State Electricity Profiles

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

    Kentucky Electricity Profile 2014 Table 1. 2014 Summary statistics (Kentucky) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,878 21 Electric utilities 19,473 15 IPP & CHP 1,405 40 Net generation (megawatthours) 90,896,435 17 Electric utilities 90,133,403 10 IPP & CHP 763,032 49 Emissions Sulfur dioxide (short tons) 204,873 5 Nitrogen oxide (short tons) 89,253 7 Carbon dioxide (thousand metric tons) 85,795 7 Sulfur dioxide (lbs/MWh) 4.5 3 Nitrogen oxide

  5. EIA - State Electricity Profiles

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

    Louisiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Louisiana) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 26,657 15 Electric utilities 18,120 16 IPP & CHP 8,537 13 Net generation (megawatthours) 104,229,402 15 Electric utilities 58,518,271 17 IPP & CHP 45,711,131 8 Emissions Sulfur dioxide (short tons) 96,240 14 Nitrogen oxide (short tons) 83,112 8 Carbon dioxide (thousand metric tons) 57,137 15 Sulfur dioxide (lbs/MWh) 1.8 21

  6. EIA - State Electricity Profiles

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

    Maine Electricity Profile 2014 Table 1. 2014 Summary statistics (Maine) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 4,470 43 Electric utilities 10 49 IPP & CHP 4,460 20 Net generation (megawatthours) 13,248,710 44 Electric utilities 523 49 IPP & CHP 13,248,187 27 Emissions Sulfur dioxide (short tons) 10,990 38 Nitrogen oxide (short tons) 8,622 46 Carbon dioxide (thousand metric tons) 3,298 46 Sulfur dioxide (lbs/MWh) 1.7 25 Nitrogen oxide (lbs/MWh)

  7. EIA - State Electricity Profiles

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

    Maryland Electricity Profile 2014 Table 1. 2014 Summary statistics (Maryland) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 12,264 33 Electric utilities 85 47 IPP & CHP 12,179 8 Net generation (megawatthours) 37,833,652 35 Electric utilities 20,260 47 IPP & CHP 37,813,392 9 Emissions Sulfur dioxide (short tons) 41,370 26 Nitrogen oxide (short tons) 20,626 35 Carbon dioxide (thousand metric tons) 20,414 34 Sulfur dioxide (lbs/MWh) 2.2 18 Nitrogen oxide

  8. EIA - State Electricity Profiles

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

    Massachusetts Electricity Profile 2014 Table 1. 2014 Summary statistics (Massachusetts) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 13,128 32 Electric utilities 971 42 IPP & CHP 12,157 9 Net generation (megawatthours) 31,118,591 40 Electric utilities 679,986 43 IPP & CHP 30,438,606 12 Emissions Sulfur dioxide (short tons) 6,748 41 Nitrogen oxide (short tons) 13,831 43 Carbon dioxide (thousand metric tons) 12,231 39 Sulfur dioxide (lbs/MWh) 0.4 40

  9. EIA - State Electricity Profiles

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

    Michigan Electricity Profile 2014 Table 1. 2014 Summary statistics (Michigan) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,435 12 Electric utilities 22,260 9 IPP & CHP 8,175 14 Net generation (megawatthours) 106,816,991 14 Electric utilities 84,075,322 12 IPP & CHP 22,741,669 13 Emissions Sulfur dioxide (short tons) 173,521 7 Nitrogen oxide (short tons) 77,950 9 Carbon dioxide (thousand metric tons) 64,062 11 Sulfur dioxide (lbs/MWh) 3.2 7 Nitrogen oxide

  10. EIA - State Electricity Profiles

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

    Minnesota Electricity Profile 2014 Table 1. 2014 Summary statistics (Minnesota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 15,621 28 Electric utilities 11,557 22 IPP & CHP 4,064 24 Net generation (megawatthours) 56,998,330 27 Electric utilities 45,963,271 22 IPP & CHP 11,035,059 29 Emissions Sulfur dioxide (short tons) 39,272 27 Nitrogen oxide (short tons) 38,373 28 Carbon dioxide (thousand metric tons) 32,399 28 Sulfur dioxide (lbs/MWh) 1.4 27 Nitrogen

  11. EIA - State Electricity Profiles

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

    Mississippi Electricity Profile 2014 Table 1. 2014 Summary statistics (Mississippi) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 16,090 26 Electric utilities 13,494 19 IPP & CHP 2,597 34 Net generation (megawatthours) 55,127,092 29 Electric utilities 47,084,382 21 IPP & CHP 8,042,710 34 Emissions Sulfur dioxide (short tons) 101,093 13 Nitrogen oxide (short tons) 23,993 32 Carbon dioxide (thousand metric tons) 24,037 33 Sulfur dioxide (lbs/MWh) 3.7 5

  12. EIA - State Electricity Profiles

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

    Missouri Electricity Profile 2014 Table 1. 2014 Summary statistics (Missouri) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 21,790 19 Electric utilities 20,538 13 IPP & CHP 1,252 42 Net generation (megawatthours) 87,834,468 18 Electric utilities 85,271,253 11 IPP & CHP 2,563,215 46 Emissions Sulfur dioxide (short tons) 149,842 9 Nitrogen oxide (short tons) 77,749 10 Carbon dioxide (thousand metric tons) 75,735 8 Sulfur dioxide (lbs/MWh) 3.4 6 Nitrogen oxide

  13. EIA - State Electricity Profiles

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

    Montana Electricity Profile 2014 Table 1. 2014 Summary statistics (Montana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,330 41 Electric utilities 3,209 38 IPP & CHP 3,121 30 Net generation (megawatthours) 30,257,616 41 Electric utilities 12,329,411 35 IPP & CHP 17,928,205 16 Emissions Sulfur dioxide (short tons) 14,426 34 Nitrogen oxide (short tons) 20,538 36 Carbon dioxide (thousand metric tons) 17,678 36 Sulfur dioxide (lbs/MWh) 1.0 34 Nitrogen oxide

  14. EIA - State Electricity Profiles

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

    Nebraska Electricity Profile 2014 Table 1. 2014 Summary statistics (Nebraska) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,732 36 Electric utilities 7,913 30 IPP & CHP 819 46 Net generation (megawatthours) 39,431,291 34 Electric utilities 36,560,960 30 IPP & CHP 2,870,331 45 Emissions Sulfur dioxide (short tons) 63,994 22 Nitrogen oxide (short tons) 27,045 30 Carbon dioxide (thousand metric tons) 26,348 31 Sulfur dioxide (lbs/MWh) 3.2 8 Nitrogen oxide

  15. EIA - State Electricity Profiles

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

    Nevada Electricity Profile 2014 Table 1. 2014 Summary statistics (Nevada) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 10,485 34 Electric utilities 8,480 29 IPP & CHP 2,006 35 Net generation (megawatthours) 36,000,537 37 Electric utilities 27,758,728 33 IPP & CHP 8,241,809 33 Emissions Sulfur dioxide (short tons) 10,229 40 Nitrogen oxide (short tons) 18,606 39 Carbon dioxide (thousand metric tons) 16,222 37 Sulfur dioxide (lbs/MWh) 0.4 38 Nitrogen

  16. EIA - State Electricity Profiles

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

    Hampshire Electricity Profile 2013 Table 1. 2013 Summary statistics (New Hampshire) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 4,413 44 Electric utilities 1,121 41 IPP & CHP 3,292 30 Net generation (megawatthours) 19,778,520 42 Electric utilities 2,266,903 41 IPP & CHP 17,511,617 20 Emissions Sulfur dioxide (short tons) 3,733 44 Nitrogen oxide (short tons) 5,057 47 Carbon dioxide (thousand metric tons) 3,447 46 Sulfur dioxide (lbs/MWh) 0.4 45 Nitrogen

  17. EIA - State Electricity Profiles

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

    Jersey Electricity Profile 2014 Table 1. 2014 Summary statistics (New Jersey) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 19,399 22 Electric utilities 544 43 IPP & CHP 18,852 7 Net generation (megawatthours) 68,051,086 23 Electric utilities -117,003 50 IPP & CHP 68,168,089 7 Emissions Sulfur dioxide (short tons) 3,369 44 Nitrogen oxide (short tons) 15,615 41 Carbon dioxide (thousand metric tons) 17,905 35 Sulfur dioxide (lbs/MWh) 0.1 47 Nitrogen oxide

  18. EIA - State Electricity Profiles

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

    Mexico Electricity Profile 2014 Table 1. 2014 Summary statistics (New Mexico) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 8,072 39 Electric utilities 6,094 33 IPP & CHP 1,978 37 Net generation (megawatthours) 32,306,210 39 Electric utilities 26,422,867 34 IPP & CHP 5,883,343 38 Emissions Sulfur dioxide (short tons) 12,064 37 Nitrogen oxide (short tons) 46,192 22 Carbon dioxide (thousand metric tons) 24,712 32 Sulfur dioxide (lbs/MWh) 0.7 37 Nitrogen

  19. EIA - State Electricity Profiles

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

    York Electricity Profile 2014 Table 1. 2014 Summary statistics (New York) Item Value Rank Primary energy source Natural Gas Net summer capacity (megawatts) 40,404 6 Electric utilities 10,989 27 IPP & CHP 29,416 5 Net generation (megawatthours) 137,122,202 7 Electric utilities 34,082 31 IPP & CHP 103,039,347 5 Emissions Sulfur dioxide (short tons) 31,878 28 Nitrogen oxide (short tons) 46,971 21 Carbon dioxide (thousand metric tons) 33,240 26 Sulfur dioxide (lbs/MWh) 0.5 39 Nitrogen oxide

  20. EIA - State Electricity Profiles

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

    Carolina Electricity Profile 2013 Table 1. 2013 Summary statistics (North Carolina) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,048 12 Electric utilities 26,706 6 IPP & CHP 3,342 29 Net generation (megawatthours) 125,936,293 9 Electric utilities 116,317,050 2 IPP & CHP 9,619,243 31 Emissions Sulfur dioxide (short tons) 71,293 20 Nitrogen oxide (short tons) 62,397 12 Carbon dioxide (thousand metric tons) 56,940 14 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  1. EIA - State Electricity Profiles

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

    Dakota Electricity Profile 2013 Table 1. 2013 Summary statistics (North Dakota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,566 40 Electric utilities 5,292 34 IPP & CHP 1,274 41 Net generation (megawatthours) 35,021,673 39 Electric utilities 31,044,374 32 IPP & CHP 3,977,299 42 Emissions Sulfur dioxide (short tons) 56,854 23 Nitrogen oxide (short tons) 48,454 22 Carbon dioxide (thousand metric tons) 30,274 28 Sulfur dioxide (lbs/MWh) 3.2 11 Nitrogen oxide

  2. EIA - State Electricity Profiles

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

    Ohio Electricity Profile 2014 Table 1. 2014 Summary statistics (Ohio) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 31,507 9 Electric utilities 11,134 26 IPP & CHP 20,372 6 Net generation (megawatthours) 134,476,405 8 Electric utilities 43,290,512 25 IPP & CHP 91,185,893 7 Emissions Sulfur dioxide (short tons) 355,108 1 Nitrogen oxide (short tons) 105,688 4 Carbon dioxide (thousand metrictons) 98,650 5 Sulfur dioxide (lbs/MWh) 5.3 2 Nitrogen oxide (lbs/MWh)

  3. EIA - State Electricity Profiles

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

    Oklahoma Electricity Profile 2014 Table 1. 2014 Summary statistics (Oklahoma) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 24,048 17 Electric utilities 17,045 17 IPP & CHP 7,003 16 Net generation (megawatthours) 70,155,504 22 Electric utilities 48,096,026 19 IPP & CHP 22,059,478 14 Emissions Sulfur dioxide 78,556 18 Nitrogen oxide 44,874 23 Carbon dioxide (thousand metric tons) 43,994 18 Sulfur dioxide (lbs/MWh) 2.2 17 Nitrogen oxide (lbs/MWh) 1.3 26

  4. EIA - State Electricity Profiles

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

    Oregon Electricity Profile 2014 Table 1. 2014 Summary statistics (Oregon) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 15,884 27 Electric utilities 11,175 25 IPP & CHP 4,709 19 Net generation (megawatthours) 60,119,907 26 Electric utilities 44,565,239 24 IPP & CHP 15,554,668 21 Emissions Sulfur dioxide (short tons) 10,595 39 Nitrogen oxide (short tons) 14,313 42 Carbon dioxide (thousand metric tons) 8,334 40 Sulfur dioxide (lbs/MWh) 0.4 42 Nitrogen

  5. EIA - State Electricity Profiles

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

    Pennsylvania Electricity Profile 2014 Table 1. 2014 Summary statistics (Pennsylvania) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 42,723 5 Electric utilities 39 48 IPP & CHP 42,685 3 Net generation (megawatthours) 221,058,365 3 Electric utilities 90,994 44 IPP & CHP 220,967,371 2 Emissions Sulfur dioxide (short tons) 297,598 4 Nitrogen oxide (short tons) 141,486 2 Carbon dioxide (thousand metric tons) 101,361 4 Sulfur dioxide (lbs/MWh) 2.7 11 Nitrogen oxide

  6. EIA - State Electricity Profiles

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

    Rhode Island Electricity Profile 2014 Table 1. 2014 Summary statistics (Rhode Island) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 1,810 49 Electric utilities 8 50 IPP & CHP 1,803 38 Net generation (megawatthours) 6,281,748 49 Electric utilities 10,670 48 IPP & CHP 6,271,078 36 Emissions Sulfur dioxide (short tons) 100 49 Nitrogen oxide (short tons) 1,224 49 Carbon dioxide (thousand metric tons) 2,566 48 Sulfur dioxide (lbs/MWh) 0.0 48 Nitrogen oxide

  7. EIA - State Electricity Profiles

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

    Carolina Electricity Profile 2014 Table 1. 2014 Summary statistics (South Carolina) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 22,824 18 Electric utilities 20,836 12 IPP & CHP 1,988 36 Net generation (megawatthours) 97,158,465 16 Electric utilities 93,547,004 9 IPP & CHP 3,611,461 43 Emissions Sulfur dioxide (short tons) 43,659 25 Nitrogen oxide (short tons) 21,592 34 Carbon dioxide (thousand metric tons) 33,083 27 Sulfur dioxide (lbs/MWh) 0.9 35

  8. EIA - State Electricity Profiles

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

    South Dakota Electricity Profile 2014 Table 1. 2014 Summary statistics (South Dakota) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 3,948 45 Electric utilities 3,450 36 IPP & CHP 499 48 Net generation (megawatthours) 10,995,240 45 Electric utilities 9,344,872 38 IPP & CHP 1,650,368 48 Emissions Sulfur dioxide (short tons) 13,852 35 Nitrogen oxide (short tons) 10,638 44 Carbon dioxide (thousand metric tons) 3,093 47 Sulfur dioxide (lbs/MWh) 2.5 15

  9. EIA - State Electricity Profiles

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

    Tennessee Electricity Profile 2014 Table 1. 2014 Summary statistics (Tennessee) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,998 20 Electric utilities 20,490 14 IPP & CHP 508 47 Net generation (megawatthours) 79,506,886 20 Electric utilities 76,986,629 13 IPP & CHP 2,520,257 47 Emissions Sulfur dioxide (short tons) 89,357 16 Nitrogen oxide (short tons) 23,913 33 Carbon dioxide (thousand metric tons) 41,405 20 Sulfur dioxide (lbs/MWh) 2.2 16 Nitrogen oxide

  10. EIA - State Electricity Profiles

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

    Texas Electricity Profile 2014 Table 1. 2014 Summary statistics (Texas) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 112,914 1 Electric utilities 29,113 2 IPP & CHP 83,800 1 Net generation (megawatthours) 437,629,668 1 Electric utilities 94,974,953 7 IPP & CHP 342,654,715 1 Emissions Sulfur Dioxide (short tons) 349,245 2 Nitrogen Oxide short tons) 229,580 1 Carbon Dioxide (thousand metric tons) 254,488 1 Sulfur Dioxide (lbs/MWh) 1.6 26 Nitrogen Oxide

  11. EIA - State Electricity Profiles

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

    Utah Electricity Profile 2014 Table 1. 2014 Summary statistics (Utah) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,325 38 Electric utilities 7,296 31 IPP & CHP 1,029 44 Net generation (megawatthours) 43,784,526 33 Electric utilities 40,741,425 28 IPP & CHP 3,043,101 44 Emissions Sulfur Dioxide (short tons) 23,646 31 Nitrogen Oxide (short tons) 57,944 16 Carbon Dioxide (thousand metric tons) 35,179 24 Sulfur Dioxide (lbs/MWh) 1.1 31 Nitrogen Oxide (lbs/MWh)

  12. EIA - State Electricity Profiles

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

    Vermont Electricity Profile 2014 Table 1. 2014 Summary statistics (Vermont) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 650 50 Electric utilities 337 44 IPP & CHP 313 49 Net generation (megawatthours) 7,031,394 48 Electric utilities 868,079 42 IPP & CHP 6,163,315 37 Emissions Sulfur Dioxide (short tons) 71 50 Nitrogen Oxide (short tons) 737 50 Carbon Dioxide (thousand metric tons) 14 51 Sulfur Dioxide (lbs/MWh) 0.0 50 Nitrogen Oxide (lbs/MWh) 0.2 51

  13. Project Cost Profile Spreadsheet | Department of Energy

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

    Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet File Project Cost Profile Spreadsheet.xlsx More Documents & Publications Statement of Work (SOW) Template ...

  14. G-Band Vapor Radiometer Profiler (GVRP) Handbook

    SciTech Connect (OSTI)

    Caddeau, MP

    2010-06-23

    The G-Band Vapor Radiometer Profiler (GVRP) provides time-series measurements of brightness temperatures from 15 channels between 170 and 183.310 GHz. Atmospheric emission in this spectral region is primarily due to water vapor, with some influence from liquid water. Channels between 170.0 and 176.0 GHz are particularly sensitive to the presence of liquid water. The sensitivity to water vapor of the 183.31-GHz line is approximately 30 times higher than at the frequencies of the two-channel microwave radiometer (MWR) for a precipitable water vapor (PWV) amount of less than 2.5 mm. Measurements from the GVRP instrument are therefore especially useful during low-humidity conditions (PWV < 5 mm). In addition to integrated water vapor and liquid water, the GVRP can provide low-resolution vertical profiles of water vapor in very dry conditions.

  15. Cryogenic infrastructure for Fermilab's ILC vertical cavity test facility

    SciTech Connect (OSTI)

    Carcagno, R.; Ginsburg, C.; Huang, Y.; Norris, B.; Ozelis, J.; Peterson, T.; Poloubotko, V.; Rabehl, R.; Sylvester, C.; Wong, M.; /Fermilab

    2006-06-01

    Fermilab is building a Vertical Cavity Test Facility (VCTF) to provide for R&D and pre-production testing of bare 9-cell, 1.3-GHz superconducting RF (SRF) cavities for the International Linear Collider (ILC) program. This facility is located in the existing Industrial Building 1 (IB1) where the Magnet Test Facility (MTF) also resides. Helium and nitrogen cryogenics are shared between the VCTF and MTF including the existing 1500-W at 4.5-K helium refrigerator with vacuum pumping for super-fluid operation (125-W capacity at 2-K). The VCTF is being constructed in multiple phases. The first phase is scheduled for completion in mid 2007, and includes modifications to the IB1 cryogenic infrastructure to allow helium cooling to be directed to either the VCTF or MTF as scheduling demands require. At this stage, the VCTF consists of one Vertical Test Stand (VTS) cryostat for the testing of one cavity in a 2-K helium bath. Planning is underway to provide a total of three Vertical Test Stands at VCTF, each capable of accommodating two cavities. Cryogenic infrastructure improvements necessary to support these additional VCTF test stands include a dedicated ambient temperature vacuum pump, a new helium purification skid, and the addition of helium gas storage. This paper describes the system design and initial cryogenic operation results for the first VCTF phase, and outlines future cryogenic infrastructure upgrade plans for expanding to three Vertical Test Stands.

  16. Aligned vertical fractures, HTI reservoir symmetry, and Thomsenseismic anisotropy parameters

    SciTech Connect (OSTI)

    Berryman, James G.

    2007-06-27

    The Sayers and Kachanov (1991) crack-influence parametersare shown to be directly related to Thomsen (1986) weak-anisotropyseismic parameters for fractured reservoirs when the crack density issmall enough. These results are then applied to seismic wave propagationin reservoirs having HTI symmetry due to aligned vertical fractures. Theapproach suggests a method of inverting for fracture density from wavespeed data.

  17. Cryogenic vertical test facility for the SRF cavities at BNL

    SciTech Connect (OSTI)

    Than, R.; Liaw, CJ; Porqueddu, R.; Grau, M.; Tuozzolo, J.; Tallerico, T.; McIntyre, G.; Lederle, D.; Ben-Zvi, I.; Burrill, A.; Pate, D.

    2011-03-28

    A vertical test facility has been constructed to test SRF cavities and can be utilized for other applications. The liquid helium volume for the large vertical dewar is approximate 2.1m tall by 1m diameter with a clearance inner diameter of 0.95m after the inner cold magnetic shield installed. For radiation enclosure, the test dewar is located inside a concrete block structure. The structure is above ground, accessible from the top, and equipped with a retractable concrete roof. A second radiation concrete facility, with ground level access via a labyrinth, is also available for testing smaller cavities in 2 smaller dewars. The cryogenic transfer lines installation between the large vertical test dewar and the cryo plant's sub components is currently near completion. Controls and instrumentations wiring are also nearing completion. The Vertical Test Facility will allow onsite testing of SRF cavities with a maximum overall envelope of 0.9 m diameter and 2.1 m height in the large dewar and smaller SRF cavities and assemblies with a maximum overall envelope of 0.66 m diameter and 1.6 m height.

  18. Deflagration Wave Profiles

    SciTech Connect (OSTI)

    Menikoff, Ralph

    2012-04-03

    Shock initiation in a plastic-bonded explosives (PBX) is due to hot spots. Current reactive burn models are based, at least heuristically, on the ignition and growth concept. The ignition phase occurs when a small localized region of high temperature (or hot spot) burns on a fast time scale. This is followed by a growth phase in which a reactive front spreads out from the hot spot. Propagating reactive fronts are deflagration waves. A key question is the deflagration speed in a PBX compressed and heated by a shock wave that generated the hot spot. Here, the ODEs for a steady deflagration wave profile in a compressible fluid are derived, along with the needed thermodynamic quantities of realistic equations of state corresponding to the reactants and products of a PBX. The properties of the wave profile equations are analyzed and an algorithm is derived for computing the deflagration speed. As an illustrative example, the algorithm is applied to compute the deflagration speed in shock compressed PBX 9501 as a function of shock pressure. The calculated deflagration speed, even at the CJ pressure, is low compared to the detonation speed. The implication of this are briefly discussed.

  19. EIA - State Nuclear Profiles

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

    South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982

  20. EIA - State Nuclear Profiles

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

    Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0

  1. EIA - State Nuclear Profiles

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

    Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0

  2. EIA - State Nuclear Profiles

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

    Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966

  3. EIA - State Nuclear Profiles

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

    Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473

  4. EIA - State Nuclear Profiles

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

    Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314

  5. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0

  6. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0

  7. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966

  8. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473

  9. EIA - State Nuclear Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314

  10. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane

    SciTech Connect (OSTI)

    Riihimaki, Laura; Shippert, Timothy

    2014-11-05

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  11. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane

    SciTech Connect (OSTI)

    Riihimaki, Laura; Shippert, Timothy

    2014-11-05

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  12. Comparing Pulsed Doppler LIDAR with SODAR and Direct Measurements for Wind Assessment

    SciTech Connect (OSTI)

    Kelley, N. D.; Jonkman, B. J.; Scott, G. N.; Pichugina, Y. L.

    2007-07-01

    There is a pressing need for good wind-speed measurements at greater and greater heights to assess the availability of the resource in terms of power production and to identify any frequently occurring atmospheric structural characteristics that may create turbulence that impacts the operational reliability and lifetime of wind turbines and their components. In this paper, we summarize the results of a short study that compares the relative accuracies of wind speeds derived from a high-resolution pulsed Doppler LIDAR operated by the National Oceanic and Atmospheric Administration (NOAA) and a midrange Doppler SODAR with wind speeds measured by four levels of tower-based sonic anemometry up to a height of 116 m.

  13. Femtosecond Coherent Anti-Stokes Raman Spectroscopy (CARS) As Next Generation Nonlinear LIDAR Spectroscopy and Microscopy

    SciTech Connect (OSTI)

    Ooi, C. H. Raymond

    2009-07-10

    Nonlinear spectroscopy using coherent anti-Stokes Raman scattering and femtosecond laser pulses has been successfully developed as powerful tools for chemical analysis and biological imaging. Recent developments show promising possibilities of incorporating CARS into LIDAR system for remote detection of molecular species in airborne particles. The corresponding theory is being developed to describe nonlinear scattering of a mesoscopic particle composed of complex molecules by laser pulses with arbitrary shape and spectral content. Microscopic many-body transform theory is used to compute the third order susceptibility for CARS in molecules with known absorption spectrum and vibrational modes. The theory is combined with an integral scattering formula and Mie-Lorentz formulae, giving a rigorous formalism which provides powerful numerical experimentation of CARS spectra, particularly on the variations with the laser parameters and the direction of detection.

  14. 1

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

    Cirrus Extinction and Lidar Ratio Derived from Raman Lidar Measurements at the Atmospheric Radiation Measurement Program Southern Site D. Petty and J. Comstock Pacific Northwest National Laboratory Richland, Washington D. Tuner Space Science Engineering Center, University of Wisconsin-Madison Madison, Wisconsin Introduction Range resolved microphysical properties and extinction coefficient in cirrus clouds are critical for assessing the impact of cirrus on climate. Vertical profiles of cirrus

  15. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Electricity State Profiles Renewable Electricity State Profiles Data for 2010 | Release Date: January 21, 2012 | Next Release: January 30, 2013 Other Renewable Electricity State Profiles Choose a State: Select a State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New

  16. EIA - Renewable Electricity State Profiles

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

    Electricity State Profiles Renewable Electricity State Profiles Data for 2010 | Release Date: January 21, 2012 | Next Release: January 30, 2013 Other Renewable Electricity State Profiles Choose a State: Select a State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New

  17. EIA - Renewable Electricity State Profiles

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

    Electricity State Profiles Renewable Electricity State Profiles Data for 2010 | Release Date: January 21, 2012 | Next Release: January 30, 2013 Other Renewable Electricity State Profiles Choose a State: Select a State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New

  18. Search Women@Energy Profiles

    Broader source: Energy.gov [DOE]

    Search the Women@Energy profiles to learn more about how to get into STEM, inspired by STEM, or find a STEM career.

  19. Taxel-addressable matrix of vertical nanowire piezotronic transistors

    SciTech Connect (OSTI)

    Wang, Zhong Lin; Wu, Wenzhuo; Wen, Xiaonan

    2015-05-05

    A tactile sensing matrix includes a substrate, a first plurality of elongated electrode structures, a plurality of vertically aligned piezoelectric members, an insulating layer infused into the piezoelectric members and a second plurality of elongated electrode structures. The first plurality of elongated electrode structures is disposed on the substrate along a first orientation. The vertically aligned piezoelectric members is disposed on the first plurality of elongated electrode structures and form a matrix having columns of piezoelectric members disposed along the first orientation and rows of piezoelectric members disposed along a second orientation that is transverse to the first orientation. The second plurality of elongated electrode structures is disposed on the insulating layer along the second orientation. The elongated electrode structures form a Schottky contact with the piezoelectric members. When pressure is applied to the piezoelectric members, current flow therethrough is modulated.

  20. Friction of partially embedded vertically aligned carbon nanofibers inside elastomers

    SciTech Connect (OSTI)

    Aksak, Burak; Sitti, Metin; Cassell, Alan; Li, Jun; Meyyappan, Meyya; Callen, Phillip [NanoRobotics Laboratory, Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213 (United States); NASA Ames Research Center, Moffett Field, California 94035 (United States); NASA Johnson Space Center, Houston, Texas 77058 (United States)

    2007-08-06

    Vertically aligned carbon nanofibers partially embedded inside polyurethane (eVACNFs) are proposed as a robust high friction fibrillar material with a compliant backing. Carbon nanofibers with 50-150 nm in diameter and 20-30 {mu}m in length are vertically grown on silicon and transferred completely inside an elastomer by vacuum molding. By using time controlled and selective oxygen plasma etching, fibers are partially released up to 5 {mu}m length. Macroscale friction experiments show that eVACNFs exhibit reproducible effective friction coefficients up to 1. Besides high friction, the proposed fabrication method improves fiber-substrate bond strength, and enables uniform height nanofibers with a compliant backing.

  1. Vertical stability requirements for ARIES-I reactor

    SciTech Connect (OSTI)

    Bathke, C.G.; Jardin, S.C.; Leuer, J.A.; Ward, D.J.; Princeton Univ., NJ . Plasma Physics Lab.; General Atomics, San Diego, CA; Princeton Univ., NJ . Plasma Physics Lab.)

    1989-01-01

    The vertical stability of the ARIES-I reactor design is analyzed with the NOVA-W, PSTAB, and TSC codes. A growth rate of {approximately}5.7 s{sup -1} is predicted for a vacuum vessel positioned behind the scrapeoff, first wall, and blanket (0.7 in inboard and 0.9 in outboard thickness) and acting as a passive stabilizer. A reactive power of {approximately}2 MV A would be required for active feedback coils located outside of the TF coils {approximately}3 m to correct a 50-mm vertical displacement of the magnetic axis. A multipolar expansion technique used in the TSC analysis is also used to examine options that minimize stored energy. 10 refs., 8 figs., 2 tabs.

  2. Vertical-cavity surface-emitting laser device

    DOE Patents [OSTI]

    Hadley, G.R.; Lear, K.L.; Awyoung, A.; Choquette, K.D.

    1999-05-11

    A vertical-cavity surface-emitting laser device is disclosed. The vertical-cavity surface-emitting laser (VCSEL) device comprises one or more VCSELs with each VCSEL having a mode-control region thereabout, with the mode-control region forming an optical cavity with an effective cavity length different from the effective cavity length within each VCSEL. Embodiments of the present invention can be formed as single VCSELs and as one- or two-dimensional arrays of VCSELs, with either an index-guided mode of operation or an index anti-guided mode of operation being defined by a sign of the difference in the two effective cavity lengths. 10 figs.

  3. Aeroelastically coupled blades for vertical axis wind turbines

    DOE Patents [OSTI]

    Paquette, Joshua; Barone, Matthew F.

    2016-02-23

    Various technologies described herein pertain to a vertical axis wind turbine blade configured to rotate about a rotation axis. The vertical axis wind turbine blade includes at least an attachment segment, a rear swept segment, and optionally, a forward swept segment. The attachment segment is contiguous with the forward swept segment, and the forward swept segment is contiguous with the rear swept segment. The attachment segment includes a first portion of a centroid axis, the forward swept segment includes a second portion of the centroid axis, and the rear swept segment includes a third portion of the centroid axis. The second portion of the centroid axis is angularly displaced ahead of the first portion of the centroid axis and the third portion of the centroid axis is angularly displaced behind the first portion of the centroid axis in the direction of rotation about the rotation axis.

  4. Sandia vertical axis wind turbines (VAWTs) demonstrate offshore advantages

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

    vertical axis wind turbines (VAWTs) demonstrate offshore advantages - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle

  5. Offshore Ambitions for the Vertical-Axis Wind Turbine

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

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

  6. Method of fabricating vertically aligned group III-V nanowires

    DOE Patents [OSTI]

    Wang, George T; Li, Qiming

    2014-11-25

    A top-down method of fabricating vertically aligned Group III-V micro- and nanowires uses a two-step etch process that adds a selective anisotropic wet etch after an initial plasma etch to remove the dry etch damage while enabling micro/nanowires with straight and smooth faceted sidewalls and controllable diameters independent of pitch. The method enables the fabrication of nanowire lasers, LEDs, and solar cells.

  7. Innovative Offshore Vertical-Axis Wind Turbine Rotors

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

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

  8. Electrically injected visible vertical cavity surface emitting laser diodes

    DOE Patents [OSTI]

    Schneider, R.P.; Lott, J.A.

    1994-09-27

    Visible laser light output from an electrically injected vertical cavity surface emitting laser (VSCEL) diode is enabled by the addition of phase-matching spacer layers on either side of the active region to form the optical cavity. The spacer layers comprise InAlP which act as charge carrier confinement means. Distributed Bragg reflector layers are formed on either side of the optical cavity to act as mirrors. 5 figs.

  9. Electrically injected visible vertical cavity surface emitting laser diodes

    DOE Patents [OSTI]

    Schneider, Richard P.; Lott, James A.

    1994-01-01

    Visible laser light output from an electrically injected vertical cavity surface emitting laser (VSCEL) diode is enabled by the addition of phase-matching spacer layers on either side of the active region to form the optical cavity. The spacer layers comprise InAlP which act as charge carrier confinement means. Distributed Bragg reflector layers are formed on either side of the optical cavity to act as mirrors.

  10. Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer

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

    Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer I. Genkova and C. N. Long Pacific Northwest National Laboratory Richland, Washington T. Besnard ATMOS SARL Le Mans, France D. Gillotay Institute d'Aeronomie Spatiale de Belgique Brussels, Belgium Introduction In the effort to resolve uncertainties about global climate change, the Atmospheric Radiation Measurement (ARM) Program (www.arm.gov) is improving the treatment of cloud radiative forcing and feedbacks in general

  11. Raman Lidar

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

    While this technique is highly accurate, the retrieval is performed using signals from Raman-scattered light that is a weak scattering process. FEX uses an adaptive smoothing...

  12. Vertical feed stick wood fuel burning furnace system

    DOE Patents [OSTI]

    Hill, Richard C.

    1984-01-01

    A new and improved stove or furnace for efficient combustion of wood fuel including a vertical feed combustion chamber for receiving and supporting wood fuel in a vertical attitude or stack, a major upper portion of the combustion chamber column comprising a water jacket for coupling to a source of water or heat transfer fluid and for convection circulation of the fluid for confining the locus of wood fuel combustion to the bottom of the vertical gravity feed combustion chamber. A flue gas propagation delay channel extending from the laterally directed draft outlet affords delayed travel time in a high temperature environment to assure substantially complete combustion of the gaseous products of wood burning with forced air as an actively induced draft draws the fuel gas and air mixture laterally through the combustion and high temperature zone. Active sources of forced air and induced draft are included, multiple use and circuit couplings for the recovered heat, and construction features in the refractory material substructure and metal component superstructure.

  13. Steel Energy and Environmental Profile

    SciTech Connect (OSTI)

    none,

    2000-08-01

    Major steelmaking processes (from ironmaking through fabrication and forming) and their associated energy requirements have been profiled in this 2001 report (PDF 582 KB). This profile by Energetics, Inc. also describes the waste streams generated by each process and estimates annual emissions of CO2 and criteria pollutants.

  14. Laser heterodyne surface profiler

    DOE Patents [OSTI]

    Sommargren, G.E.

    1980-06-16

    A method and apparatus are disclosed for testing the deviation of the face of an object from a flat smooth surface using a beam of coherent light of two plane-polarized components, one of a frequency constantly greater than the other by a fixed amount to produce a difference frequency with a constant phase to be used as a reference, and splitting the beam into its two components. The separate components are directed onto spaced apart points on the face of the object to be tested for smoothness while the face of the object is rotated on an axis normal to one point, thereby passing the other component over a circular track on the face of the object. The two components are recombined after reflection to produce a reflected frequency difference of a phase proportional to the difference in path length of one component reflected from one point to the other component reflected from the other point. The phase of the reflected frequency difference is compared with the reference phase to produce a signal proportional to the deviation of the height of the surface along the circular track with respect to the fixed point at the center, thereby to produce a signal that is plotted as a profile of the surface along the circular track. The phase detector includes a quarter-wave plate to convert the components of the reference beam into circularly polarized components, a half-wave plate to shift the phase of the circularly polarized components, and a polarizer to produce a signal of a shifted phase for comparison with the phase of the frequency difference of the reflected components detected through a second polarizer. Rotation of the half-wave plate can be used for phase adjustment over a full 360/sup 0/ range.

  15. Vertical Distribution of Contamination in Ground Water at the Tuba City,

    Energy Savers [EERE]

    Arizona, Site | Department of Energy Vertical Distribution of Contamination in Ground Water at the Tuba City, Arizona, Site Vertical Distribution of Contamination in Ground Water at the Tuba City, Arizona, Site Vertical Distribution of Contamination in Ground Water at the Tuba City, Arizona, Site PDF icon Vertical Distribution of Contamination in Ground Water at the Tuba City, Arizona, Site More Documents & Publications EA-1268: Final Environmental Assessment Diffusion Multilayer

  16. Vertical-axis wind turbines -- The current status of an old technology

    SciTech Connect (OSTI)

    Berg, D.E.

    1996-12-31

    Vertical-axis wind turbine technology is not well understood, even though the earliest wind machines rotated about a vertical axis. The operating environment of a vertical-axis wind turbine is quite complex, but detailed analysis capabilities have been developed and verified over the last 30 years. Although vertical-axis technology has not been widely commercialized, it exhibits both advantages and disadvantages compared to horizontal-axis technology, and in some applications, it appears to offer significant advantages.

  17. High Spectral Resolution Infrared and Raman Lidar Observations for the ARM Program: Clear and Cloudy Sky Applications

    SciTech Connect (OSTI)

    Henry Revercomb, David Tobin, Robert Knuteson, Lori Borg, Leslie Moy

    2009-06-17

    This grant began with the development of the Atmospheric Emitted Radiance Interferometer (AERI) for ARM. The AERI has provided highly accurate and reliable observations of downwelling spectral radiance (Knuteson et al. 2004a, 2004b) for application to radiative transfer, remote sensing of boundary layer temperature and water vapor, and cloud characterization. One of the major contributions of the ARM program has been its success in improving radiation calculation capabilities for models and remote sensing that evolved from the multi-year, clear-sky spectral radiance comparisons between AERI radiances and line-by-line calculations (Turner et al. 2004). This effort also spurred us to play a central role in improving the accuracy of water vapor measurements, again helping ARM lead the way in the community (Turner et al. 2003a, Revercomb et al. 2003). In order to add high-altitude downlooking AERI-like observations over the ARM sites, we began the development of an airborne AERI instrument that has become known as the Scanning High-resolution Interferometer Sounder (Scanning-HIS). This instrument has become an integral part of the ARM Unmanned Aerospace Vehicle (ARM-UAV) program. It provides both a cross-track mapping view of the earth and an uplooking view from the 12-15 km altitude of the Scaled Composites Proteus aircraft when flown over the ARM sites for IOPs. It has successfully participated in the first two legs of the grand tour of the ARM sites (SGP and NSA), resulting in a very good comparison with AIRS observations in 2002 and in an especially interesting data set from the arctic during the Mixed-Phase Cloud Experiment (M-PACE) in 2004. More specifically, our major achievements for ARM include 1. Development of the Atmospheric Emitted Radiance Interferometer (AERI) to function like a satellite on the ground for ARM, providing a steady stream of accurately calibrated spectral radiances for Science Team clear sky and cloud applications (Knuteson et al. 2004a), 2. Detailed radiometric calibration and characterization of AERI radiances, with uncertainty estimates established from complete error analyses and proven by inter-comparison tests (Knuteson et al. 2004b), 3. AERI data quality assessment and maintenance over the extended time frames needed to support ARM (Dedecker et al., 2005) 4. Key role in the radiative transfer model improvements from the AERI/LBLRTM QME (Turner et al. 2004) and AERI-ER especially from the SHEBA experiment (Tobin et al. 1999), 5. Contributed scientific and programmatic leadership leading to significant water vapor accuracy improvements and uncertainty assessments for the low to mid troposphere (Turner et al. 2003a, Revercomb et al. 2003), 6. Leadership of the ARM assessment of the accuracy of water vapor observations from radiosondes, Raman Lidar and in situ aircraft observations in the upper troposphere and lower stratosphere (Tobin et al. 2002, Ferrare et al. 2004), 7. New techniques for characterizing clouds from AERI (DeSlover et al. 1999, Turner 2003b, Turner et al. 2003b), 8. Initial design and development of the Scanning-HIS aircraft instrument and application to ARM UAV Program missions (Revercomb et al. 2005), and 9. Coordinated efforts leading to the use of ARM observations as a key validation tool for the high resolution Atmospheric IR Sounder on the NASA Aqua platform (Tobin et al. 2005a) 10. Performed ARM site and global clear sky radiative closure studies that shows closure of top-of-atmosphere flux at the level of ~1 W/m2 (Moy et al 2008 and Section 3 of this appendix) 11. Performed studies to characterize SGP site cirrus cloud property retrievals and assess impacts on computed fluxes and heating rate profiles (Borg et al. 2008 and Section 2 of this appendix).

  18. VERTICAL RELAXATION OF A MOONLET PROPELLER IN SATURN'S A RING

    SciTech Connect (OSTI)

    Hoffmann, H.; Seiss, M.; Spahn, F. [Institute of Physics and Astronomy, University of Potsdam, D-14476 Golm (Germany)

    2013-03-01

    Two images, taken by the Cassini spacecraft near Saturn's equinox in 2009 August, show the Earhart propeller casting a 350 km long shadow, offering the opportunity to watch how the ring height, excited by the propeller moonlet, relaxes to an equilibrium state. From the shape of the shadow cast and a model of the azimuthal propeller height relaxation, we determine the exponential cooling constant of this process to be {lambda} = 0.07 {+-} 0.02 km{sup -1}, and thereby determine the collision frequency of the ring particles in the vertically excited region of the propeller to be {omega}{sub c}/{Omega} = 0.9 {+-} 0.2.

  19. Numerical simulation model for vertical flow in geothermal wells

    SciTech Connect (OSTI)

    Tachimori, M.

    1982-01-01

    A numerical simulation model for vertical flow in geothermal wells is presented. The model consists of equations for the conservation of mass, momentum, and energy, for thermodynamic state of water, for friction losses, for slip velocity relations, and of the criteria for various flow regimes. A new set of correlations and criteria is presented for two-phase flow to improve the accuracy of predictions; bubbly flow - Griffith and Wallis correlation, slug flow - Nicklin et al. one, annular-mist flow - Inoue and Aoki and modified by the author. The simulation method was verified by data from actual wells.

  20. Injector Cavities Fabrication, Vertical Test Performance and Primary Cryomodule Design

    SciTech Connect (OSTI)

    Wang, Haipeng; Cheng, Guangfeng; Clemens, William; Davis, G; Henry, James; Macha, Kurt; Overton, Roland

    2015-09-01

    After the electromagnetic design * and the mechanical design ** of a β=0.6, 2-cell elliptical SRF cavity, the cavity has been fabricated. Then both 2-cell and 7-cell cavities have been bench tuned to the target values of frequency, coupling external Q and field flatness. After buffer chemistry polishing (BCP) and high pressure rinses (HPR), Vertical 2K cavity test results have been satisfied the specifications and ready for the string assembly. We will report the cavity performance including Lorenz Force Detuning (LFD) and Higher Order Modes (HOM) damping data. Its integration with cavity tuners to the cryomodule design will be reported.