National Library of Energy BETA

Sample records for higher wind speeds

  1. 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.

  2. Wind speed power spectrum analysis for Bushland, Texas

    SciTech Connect (OSTI)

    Eggleston, E.D.

    1996-12-31

    Numerous papers and publications on wind turbulence have referenced the wind speed spectrum presented by Isaac Van der Hoven in his article entitled Power Spectrum of Horizontal Wind Speed Spectrum in the Frequency Range from 0.0007 to 900 Cycles per Hour. Van der Hoven used data measured at different heights between 91 and 125 meters above the ground, and represented the high frequency end of the spectrum with data from the peak hour of hurricane Connie. These facts suggest we should question the use of his power spectrum in the wind industry. During the USDA - Agricultural Research Service`s investigation of wind/diesel system power storage, using the appropriate wind speed power spectrum became a significant issue. We developed a power spectrum from 13 years of hourly average data, 1 year of 5 minute average data, and 2 particularly gusty day`s 1 second average data all collected at a height of 10 meters. While the general shape is similar to the Van der Hoven spectrum, few of his peaks were found in the Bushland spectrum. While higher average wind speeds tend to suggest higher amplitudes in the high frequency end of the spectrum, this is not always true. Also, the high frequency end of the spectrum is not accurately described by simple wind statistics such as standard deviation and turbulence intensity. 2 refs., 5 figs., 1 tab.

  3. File:CV WindSpeed.pdf | Open Energy Information

    Open Energy Info (EERE)

    CV WindSpeed.pdf Jump to: navigation, search File File history File usage Cape Verde-Map Summarizing Average Wind Speed (ms) Size of this preview: 776 600 pixels. Full...

  4. Hi-Q Rotor - Low Wind Speed Technology

    SciTech Connect (OSTI)

    Todd E. Mills; Judy Tatum

    2010-01-11

    The project objective was to optimize the performance of the Hi-Q Rotor. Early research funded by the California Energy Commission indicated the design might be advantageous over state-of-the-art turbines for collecting wind energy in low wind conditions. The Hi-Q Rotor is a new kind of rotor targeted for harvesting wind in Class 2, 3, and 4 sites, and has application in areas that are closer to cities, or 'load centers.' An advantage of the Hi-Q Rotor is that the rotor has non-conventional blade tips, producing less turbulence, and is quieter than standard wind turbine blades which is critical to the low-wind populated urban sites. Unlike state-of-the-art propeller type blades, the Hi-Q Rotor has six blades connected by end caps. In this phase of the research funded by DOE's Inventions and Innovation Program, the goal was to improve the current design by building a series of theoretical and numeric models, and composite prototypes to determine a best of class device. Development of the rotor was performed by aeronautical engineering and design firm, DARcorporation. From this investigation, an optimized design was determined and an 8-foot diameter, full-scale rotor was built and mounted using a Bergey LX-1 generator and furling system which were adapted to support the rotor. The Hi-Q Rotor was then tested side-by-side against the state-of-the-art Bergey XL-1 at the Alternative Energy Institute's Wind Test Center at West Texas State University for six weeks, and real time measurements of power generated were collected and compared. Early wind tunnel testing showed that the cut-in-speed of the Hi-Q rotor is much lower than a conventional tested HAWT enabling the Hi-Q Wind Turbine to begin collecting energy before a conventional HAWT has started spinning. Also, torque at low wind speeds for the Hi-Q Wind Turbine is higher than the tested conventional HAWT and enabled the wind turbine to generate power at lower wind speeds. Based on the data collected, the results of

  5. Effectiveness of Changing Wind Turbine Cut-in Speed to Reduce Bat Fatalities at Wind Facilities

    SciTech Connect (OSTI)

    Huso, Manuela M. P.; Hayes, John P.

    2009-04-01

    This report details an experiment on the effectiveness of changing wind turbine cut-in speed on reducing bat fatality from wind turbines at the Casselman Wind Project in Somerset County, Pennsylvania.

  6. Spatial and Temporal Patterns of Global Onshore Wind Speed Distributio...

    Office of Scientific and Technical Information (OSTI)

    decision-making in the policy community. While wind speed datasets with high spatial and temporal resolution are often ultimately used for detailed planning, simpler assumptions ...

  7. Recovery Act: Wind Energy Consortia between Institutions of Higher...

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

    Act: Wind Energy Consortia between Institutions of Higher Learning and Industry Recovery Act: Wind Energy Consortia between Institutions of Higher Learning and Industry A funding ...

  8. Supercomputing Model Provides Insights from Higher Wind and Solar...

    Energy Savers [EERE]

    Supercomputing Model Provides Insights from Higher Wind and Solar Generation in the Eastern Power Grid Supercomputing Model Provides Insights from Higher Wind and Solar Generation ...

  9. Dominican Republic - Annual Average Wind Speed at 80 meters

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

    Monte Plata Bonao Elias Pina El Seibo Hato Mayor Higuey Santo Domingo La Romana San Pedro Jimani San Cristobal Azua Neiba Bani Barahona Pedernales Wind Speed ms >10.5 10.0 9.5...

  10. Wind speed response of marine non-precipitating stratocumulus clouds over a diurnal cycle in cloud-system resolving simulations

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

    Kazil, Jan; Feingold, Graham; Yamaguchi, Takanobu

    2016-05-12

    Observed and projected trends in large-scale wind speed over the oceans prompt the question: how do marine stratocumulus clouds and their radiative properties respond to changes in large-scale wind speed? Wind speed drives the surface fluxes of sensible heat, moisture, and momentum and thereby acts on cloud liquid water path (LWP) and cloud radiative properties. We present an investigation of the dynamical response of non-precipitating, overcast marine stratocumulus clouds to different wind speeds over the course of a diurnal cycle, all else equal. In cloud-system resolving simulations, we find that higher wind speed leads to faster boundary layer growth and strongermore » entrainment. The dynamical driver is enhanced buoyant production of turbulence kinetic energy (TKE) from latent heat release in cloud updrafts. LWP is enhanced during the night and in the morning at higher wind speed, and more strongly suppressed later in the day. Wind speed hence accentuates the diurnal LWP cycle by expanding the morning–afternoon contrast. The higher LWP at higher wind speed does not, however, enhance cloud top cooling because in clouds with LWP ≳50 gm–2, longwave emissions are insensitive to LWP. This leads to the general conclusion that in sufficiently thick stratocumulus clouds, additional boundary layer growth and entrainment due to a boundary layer moistening arises by stronger production of TKE from latent heat release in cloud updrafts, rather than from enhanced longwave cooling. Here, we find that large-scale wind modulates boundary layer decoupling. At nighttime and at low wind speed during daytime, it enhances decoupling in part by faster boundary layer growth and stronger entrainment and in part because shear from large-scale wind in the sub-cloud layer hinders vertical moisture transport between the surface and cloud base. With increasing wind speed, however, in decoupled daytime conditions, shear-driven circulation due to large-scale wind takes over from

  11. Wind speed response of marine non-precipitating stratocumulus clouds over a diurnal cycle in cloud-system resolving simulations

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

    Kazil, Jan; Feingold, Graham; Yamaguchi, Takanobu

    2016-05-12

    Observed and projected trends in large-scale wind speed over the oceans prompt the question: how do marine stratocumulus clouds and their radiative properties respond to changes in large-scale wind speed? Wind speed drives the surface fluxes of sensible heat, moisture, and momentum and thereby acts on cloud liquid water path (LWP) and cloud radiative properties. We present an investigation of the dynamical response of non-precipitating, overcast marine stratocumulus clouds to different wind speeds over the course of a diurnal cycle, all else equal. In cloud-system resolving simulations, we find that higher wind speed leads to faster boundary layer growth and strongermore » entrainment. The dynamical driver is enhanced buoyant production of turbulence kinetic energy (TKE) from latent heat release in cloud updrafts. LWP is enhanced during the night and in the morning at higher wind speed, and more strongly suppressed later in the day. Wind speed hence accentuates the diurnal LWP cycle by expanding the morning–afternoon contrast. The higher LWP at higher wind speed does not, however, enhance cloud top cooling because in clouds with LWP ⪆ 50 g m−2, longwave emissions are insensitive to LWP. This leads to the general conclusion that in sufficiently thick stratocumulus clouds, additional boundary layer growth and entrainment due to a boundary layer moistening arises by stronger production of TKE from latent heat release in cloud updrafts, rather than from enhanced longwave cooling. We find that large-scale wind modulates boundary layer decoupling. At nighttime and at low wind speed during daytime, it enhances decoupling in part by faster boundary layer growth and stronger entrainment and in part because shear from large-scale wind in the sub-cloud layer hinders vertical moisture transport between the surface and cloud base. With increasing wind speed, however, in decoupled daytime conditions, shear-driven circulation due to large-scale wind takes over

  12. Wind speed response of marine non-precipitating stratocumulus clouds over a diurnal cycle in cloud-system resolving simulations

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

    Kazil, J.; Feingold, G.; Yamaguchi, T.

    2015-10-21

    Observed and projected trends in large scale wind speed over the oceans prompt the question: how might marine stratocumulus clouds and their radiative properties respond to future changes in large scale wind speed? Wind speed drives the surface fluxes of sensible heat, moisture, and momentum, and thereby acts on cloud liquid water path (LWP) and cloud radiative properties. We present an investigation of the dynamical response of non-precipitating, overcast marine stratocumulus clouds to different wind speeds, all else equal. In cloud-system resolving simulations, we find that higher wind speed leads to faster boundary layer growth and stronger entrainment. The dynamicalmoredriver is enhanced buoyant production of turbulence kinetic energy (TKE) from latent heat release in cloud updrafts. LWP is enhanced during the night and in the morning at higher wind speed, and more strongly suppressed later in the day. Wind speed hence accentuates the diurnal LWP cycle by expanding the morning afternoon contrast. The higher LWP at higher wind speed does not, however, enhance cloud top cooling because in clouds with LWP ⪆ 50 g m?2, long wave emissions are very insensitive to LWP. This leads to the more general conclusion that in sufficiently thick stratocumulus clouds, additional boundary layer growth and entrainment due to a boundary layer moistening arises by stronger production of TKE from latent heat release in cloud updrafts, rather than from enhanced longwave cooling. We find furthermore that large scale wind modulates boundary layer decoupling. At nighttime and at low wind speed during daytime, it enhances decoupling in part by faster boundary layer growth and stronger entrainment, and in part because circulation driven by shear from large scale wind in the sub-cloud layer hinders vertical moisture transport between the surface and cloud base. With increasing wind speed, however, in decoupled daytime conditions, shear-driven circulation due to large scale

  13. MEASUREMENT OF WIND SPEED FROM COOLING LAKE THERMAL IMAGERY

    SciTech Connect (OSTI)

    Garrett, A; Robert Kurzeja, R; Eliel Villa-Aleman, E; Cary Tuckfield, C; Malcolm Pendergast, M

    2009-01-20

    The Savannah River National Laboratory (SRNL) collected thermal imagery and ground truth data at two commercial power plant cooling lakes to investigate the applicability of laboratory empirical correlations between surface heat flux and wind speed, and statistics derived from thermal imagery. SRNL demonstrated in a previous paper [1] that a linear relationship exists between the standard deviation of image temperature and surface heat flux. In this paper, SRNL will show that the skewness of the temperature distribution derived from cooling lake thermal images correlates with instantaneous wind speed measured at the same location. SRNL collected thermal imagery, surface meteorology and water temperatures from helicopters and boats at the Comanche Peak and H. B. Robinson nuclear power plant cooling lakes. SRNL found that decreasing skewness correlated with increasing wind speed, as was the case for the laboratory experiments. Simple linear and orthogonal regression models both explained about 50% of the variance in the skewness - wind speed plots. A nonlinear (logistic) regression model produced a better fit to the data, apparently because the thermal convection and resulting skewness are related to wind speed in a highly nonlinear way in nearly calm and in windy conditions.

  14. ARE660 Wind Generator: Low Wind Speed Technology for Small Turbine Development

    SciTech Connect (OSTI)

    Robert W. Preus; DOE Project Officer - Keith Bennett

    2008-04-23

    This project is for the design of a wind turbine that can generate most or all of the net energy required for homes and small businesses in moderately windy areas. The purpose is to expand the current market for residential wind generators by providing cost effective power in a lower wind regime than current technology has made available, as well as reduce noise and improve reliability and safety. Robert W. Preus experience designing and/or maintaining residential wind generators of many configurations helped identify the need for an improved experience of safety for the consumer. Current small wind products have unreliable or no method of stopping the wind generator in fault or high wind conditions. Consumers and their neighbors do not want to hear their wind generators. In addition, with current technology, only sites with unusually high wind speeds provide payback times that are acceptable for the on-grid user. Abundant Renewable Energys (ARE) basic original concept for the ARE660 was a combination of a stall controlled variable speed small wind generator and automatic fail safe furling for shutdown. The stall control for a small wind generator is not novel, but has not been developed for a variable speed application with a permanent magnet alternator (PMA). The fail safe furling approach for shutdown has not been used to our knowledge.

  15. Energy Department Announces Funding to Access Higher Quality Wind Resources

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

    and Lower Costs | Department of Energy Access Higher Quality Wind Resources and Lower Costs Energy Department Announces Funding to Access Higher Quality Wind Resources and Lower Costs January 30, 2014 - 1:06pm Addthis The Energy Department today announced $2 million to help efficiently harness wind energy using taller towers. These projects will help strengthen U.S. wind turbine component manufacturing, reduce the cost of clean and renewable wind energy, and expand the geographic range of

  16. Flutter Speed Predictions for MW-Sized Wind Turbine Blades Don...

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

    Flutter Speed Predictions for MW-Sized Wind Turbine Blades Don W. Lobitz Sandia National ... Leishman, J. G., "Challenges in Modelling the Unsteady Aerodynamics of Wind Turbines," ...

  17. United States Wind Resource Map: Annual Average Wind Speed at 30 Meters

    Wind Powering America (EERE)

    30 m 21-FEB-2012 2.1.1 Wind Speed m/s >10.5 10.0 9.5 9.0 8.5 8.0 7.5 7.0 6.5 6.0 5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC. Web: http://www.awstruepower.com. Map developed by NREL. Spatial resolution of wind resource data: 2.0 km. Projection: Albers Equal Area WGS84. The average wind speeds indicated on this map are model-derived estimates that may not represent the true wind resource at any given location. Small terrain features, vegetation,

  18. United States Wind Resource Map: Annual Average Wind Speed at 80 Meters

    Wind Powering America (EERE)

    80 m 01-APR-2011 2.1.1 Wind Speed m/s >10.5 10.0 9.5 9.0 8.5 8.0 7.5 7.0 6.5 6.0 5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC for windNavigator . Web: http://www.windnavigator.com | http://www.awstruepower.com. Spatial resolution of wind resource data: 2.5 km. Projection: Albers Equal Area WGS84. ¶

  19. File:QuikSCAT - Annual Wind Speed at 10 m.pdf | Open Energy Informatio...

    Open Energy Info (EERE)

    QuikSCAT - Annual Wind Speed at 10 m.pdf Jump to: navigation, search File File history File usage QuikSCAT - Annual Wind Speed at 10 m Size of this preview: 463 599 pixels....

  20. United States- Land Based and Offshore Annual Average Wind Speed at 100 Meters

    Broader source: Energy.gov [DOE]

    Full-size, high resolution version of the 100-meter land-based and offshore wind speed resource map.

  1. Influence of wind speed averaging on estimates of dimethylsulfide emission fluxes

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

    Chapman, E. G.; Shaw, W. J.; Easter, R. C.; Bian, X.; Ghan, S. J.

    2002-12-03

    The effect of various wind-speed-averaging periods on calculated DMS emission fluxes is quantitatively assessed. Here, a global climate model and an emission flux module were run in stand-alone mode for a full year. Twenty-minute instantaneous surface wind speeds and related variables generated by the climate model were archived, and corresponding 1-hour-, 6-hour-, daily-, and monthly-averaged quantities calculated. These various time-averaged, model-derived quantities were used as inputs in the emission flux module, and DMS emissions were calculated using two expressions for the mass transfer velocity commonly used in atmospheric models. Results indicate that the time period selected for averaging wind speedsmore » can affect the magnitude of calculated DMS emission fluxes. A number of individual marine cells within the global grid show DMS emissions fluxes that are 10-60% higher when emissions are calculated using 20-minute instantaneous model time step winds rather than monthly-averaged wind speeds, and at some locations the differences exceed 200%. Many of these cells are located in the southern hemisphere where anthropogenic sulfur emissions are low and changes in oceanic DMS emissions may significantly affect calculated aerosol concentrations and aerosol radiative forcing.« less

  2. Adaptive pitch control for variable speed wind turbines

    DOE Patents [OSTI]

    Johnson, Kathryn E.; Fingersh, Lee Jay

    2012-05-08

    An adaptive method for adjusting blade pitch angle, and controllers implementing such a method, for achieving higher power coefficients. Average power coefficients are determined for first and second periods of operation for the wind turbine. When the average power coefficient for the second time period is larger than for the first, a pitch increment, which may be generated based on the power coefficients, is added (or the sign is retained) to the nominal pitch angle value for the wind turbine. When the average power coefficient for the second time period is less than for the first, the pitch increment is subtracted (or the sign is changed). A control signal is generated based on the adapted pitch angle value and sent to blade pitch actuators that act to change the pitch angle of the wind turbine to the new or modified pitch angle setting, and this process is iteratively performed.

  3. Variable speed wind turbine generator with zero-sequence filter

    DOE Patents [OSTI]

    Muljadi, E.

    1998-08-25

    A variable speed wind turbine generator system to convert mechanical power into electrical power or energy and to recover the electrical power or energy in the form of three phase alternating current and return the power or energy to a utility or other load with single phase sinusoidal waveform at sixty (60) hertz and unity power factor includes an excitation controller for generating three phase commanded current, a generator, and a zero sequence filter. Each commanded current signal includes two components: a positive sequence variable frequency current signal to provide the balanced three phase excitation currents required in the stator windings of the generator to generate the rotating magnetic field needed to recover an optimum level of real power from the generator; and a zero frequency sixty (60) hertz current signal to allow the real power generated by the generator to be supplied to the utility. The positive sequence current signals are balanced three phase signals and are prevented from entering the utility by the zero sequence filter. The zero sequence current signals have zero phase displacement from each other and are prevented from entering the generator by the star connected stator windings. The zero sequence filter allows the zero sequence current signals to pass through to deliver power to the utility. 14 figs.

  4. Variable speed wind turbine generator with zero-sequence filter

    DOE Patents [OSTI]

    Muljadi, Eduard

    1998-01-01

    A variable speed wind turbine generator system to convert mechanical power into electrical power or energy and to recover the electrical power or energy in the form of three phase alternating current and return the power or energy to a utility or other load with single phase sinusoidal waveform at sixty (60) hertz and unity power factor includes an excitation controller for generating three phase commanded current, a generator, and a zero sequence filter. Each commanded current signal includes two components: a positive sequence variable frequency current signal to provide the balanced three phase excitation currents required in the stator windings of the generator to generate the rotating magnetic field needed to recover an optimum level of real power from the generator; and a zero frequency sixty (60) hertz current signal to allow the real power generated by the generator to be supplied to the utility. The positive sequence current signals are balanced three phase signals and are prevented from entering the utility by the zero sequence filter. The zero sequence current signals have zero phase displacement from each other and are prevented from entering the generator by the star connected stator windings. The zero sequence filter allows the zero sequence current signals to pass through to deliver power to the utility.

  5. Variable Speed Wind Turbine Generator with Zero-sequence Filter

    DOE Patents [OSTI]

    Muljadi, Eduard

    1998-08-25

    A variable speed wind turbine generator system to convert mechanical power into electrical power or energy and to recover the electrical power or energy in the form of three phase alternating current and return the power or energy to a utility or other load with single phase sinusoidal waveform at sixty (60) hertz and unity power factor includes an excitation controller for generating three phase commanded current, a generator, and a zero sequence filter. Each commanded current signal includes two components: a positive sequence variable frequency current signal to provide the balanced three phase excitation currents required in the stator windings of the generator to generate the rotating magnetic field needed to recover an optimum level of real power from the generator; and a zero frequency sixty (60) hertz current signal to allow the real power generated by the generator to be supplied to the utility. The positive sequence current signals are balanced three phase signals and are prevented from entering the utility by the zero sequence filter. The zero sequence current signals have zero phase displacement from each other and are prevented from entering the generator by the star connected stator windings. The zero sequence filter allows the zero sequence current signals to pass through to deliver power to the utility.

  6. Adaptive Pitch Control for Variable Speed Wind Turbines - Energy...

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

    In the early development of wind energy, the majority of wind turbines or wind turbine ... In most cases, wind turbine pitch angles can be adjusted to control the operation of the ...

  7. Low Wind Speed Turbine Development Project Report: November 4, 2002 - December 31, 2006

    SciTech Connect (OSTI)

    Mikhail, A.

    2009-01-01

    This report summarizes work conducted by Clipper Windpower under the DOE Low Wind Speed Turbine project. The objective of this project was to produce a wind turbine that can lower the cost of energy.

  8. NREL Supercomputing Model Provides Insights from Higher Wind and Solar

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

    Generation in the Eastern Power Grid | Energy Systems Integration | NREL NREL Supercomputing Model Provides Insights from Higher Wind and Solar Generation in the Eastern Power Grid NREL opens data to help planners and regulators understand implications of higher wind and solar generation August 31, 2016 A new study from the United States Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) used high-performance computing capabilities and innovative visualization tools to

  9. NREL Supercomputing Model Provides Insights from Higher Wind and Solar

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

    Generation in the Eastern Power Grid | Grid Modernization | NREL Supercomputing Model Provides Insights from Higher Wind and Solar Generation in the Eastern Power Grid NREL opens data to help planners and regulators understand implications of higher wind and solar generation August 31, 2016 A new study from the United States Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) used high-performance computing capabilities and innovative visualization tools to model, in

  10. NREL Supercomputing Model Provides Insights from Higher Wind and Solar

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

    Generation in the Eastern Power Grid - News Releases | NREL Supercomputing Model Provides Insights from Higher Wind and Solar Generation in the Eastern Power Grid NREL opens data to help planners and regulators understand implications of higher wind and solar generation August 31, 2016 NREL's David Palchak, co-author of the Eastern Renewable Generation Integration Study, examines data visualizations developed with computing resources in NREL's Energy Systems Integration Facility. NREL's

  11. Low Wind Speed Turbine Developments in Convoloid Gearing: Final Technical Report, June 2005 - October 2008

    SciTech Connect (OSTI)

    Genesis Partners LP

    2010-08-01

    This report presents the results of a study conducted by Genesis Partners LP as part of the United States Department of Energy Wind Energy Research Program to develop wind technology that will enable wind systems to compete in regions having low wind speeds. The purpose of the program is to reduce the cost of electricity from large wind systems in areas having Class 4 winds to 3 cents per kWh for onshore systems or 5 cents per kWh for offshore systems. This work builds upon previous activities under the WindPACT project, the Next Generation Turbine project, and Phase I of the Low Wind Speed Turbine (LWST) project. This project is concerned with the development of more cost-effective gearing for speed increasers for wind turbines.

  12. Low Wind Speed Technology Phase II: Investigation of the Application of Medium-Voltage Variable-Speed Drive Technology to Improve the Cost of Energy from Low Wind Speed Turbines; Behnke, Erdman and Whitaker Engineering, Inc.

    SciTech Connect (OSTI)

    Not Available

    2006-03-01

    This fact sheet describes a subcontract with Behnke, Erdman & Whitaker Engineering, Inc. to test the feasibility of applying medium-voltage variable-speed drive technology to low wind speed turbines.

  13. Concrete Company Aims Higher for More Wind Energy

    Broader source: Energy.gov [DOE]

    Today, most steel towers that support utility-scale turbines stand about 80 meters tall, but the Tindall Corporation wants to go higher using precast concrete to raise turbines over 100 meters in height to capture stronger, steadier winds - and more energy.

  14. Effect of Tip-Speed Constraints on the Optimized Design of a Wind Turbine

    SciTech Connect (OSTI)

    Dykes, K.; Resor, B.; Platt, A.; Guo, Y.; Ning, A.; King, R.; Parsons, T.; Petch, D.; Veers, P.

    2014-10-01

    This study investigates the effect of tip-velocity constraints on system levelized cost of energy (LCOE). The results indicate that a change in maximum tip speed from 80 to 100~m/s could produce a 32% decrease in gearbox weight (a 33% reduction in cost) which would result in an overall reduction of 1%-9% in system LCOE depending on the design approach. Three 100~m/s design cases were considered including a low tip-speed ratio/high-solidity rotor design, a high tip-speed ratio/ low-solidity rotor design, and finally a flexible blade design in which a high tip-speed ratio was used along with removing the tip deflection constraint on the rotor design. In all three cases, the significant reduction in gearbox weight caused by the higher tip-speed and lower overall gear ratio was counterbalanced by increased weights for the rotor and/or other drivetrain components and the tower. As a result, the increased costs of either the rotor or drivetrain components offset the overall reduction in turbine costs from down-sizing the gearbox. Other system costs were not significantly affected, whereas energy production was slightly reduced in the 100~m/s case low tip-speed ratio case and increased in the high tip-speed ratio case. This resulted in system cost of energy reductions moving from the 80~m/s design to the 100~m/s designs of 1.2% for the low tip-speed ratio, 4.6% for the high tip-speed ratio, and 9.5% for the final flexible case (the latter result is optimistic because the impact of deflection of the flexible blade on power production was not modeled). Overall, the results demonstrate that there is a trade-off in system design between the maximum tip velocity and the overall wind plant cost of energy, and there are many trade-offs within the overall system in designing a turbine for a high maximum tip velocity.

  15. Twin Groves Wind Energy Facility Cut-in Speeds

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

    Currently, only operational mitigation (stopping turbine blades from spinning) during ... Most studies found at least a 50% reduction in bat fatalities when turbine cut-in speed ...

  16. Variable-Speed Wind Power System with Improved Energy Capture via

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

    Multilevel Conversion - Energy Innovation Portal Wind Energy Wind Energy Electricity Transmission Electricity Transmission Advanced Materials Advanced Materials Find More Like This Return to Search Variable-Speed Wind Power System with Improved Energy Capture via Multilevel Conversion National Renewable Energy Laboratory Contact NREL About This Technology Technology Marketing Summary Power converters are used to convert alternating current (AC) electric power from a fixed-frequency and

  17. Haiti - Annual Average Wind Speed at 80 meters

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

    Liberte Hinche 06-JAN-2014 3.5.1 50 0 Port-au-Prince Jacmel Les Cayes Jeremie 50 100 Kilometers DOMINI REPUBL CAN IC The wind resource estimates on this map are from model...

  18. Anemometer Data (Wind Speed, Direction) for Pascua Yaqui, AZ...

    Open Energy Info (EERE)

    from a height of 20 m. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. Data and Resources...

  19. Fixed-Speed and Variable-Slip Wind Turbines Providing Spinning Reserves to the Grid: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Singh, M.; Gevorgian, V.

    2012-11-01

    As the level of wind penetration increases, wind turbine technology must move from merely generating power from wind to taking a role in supporting the bulk power system. Wind turbines should have the capability to provide inertial response and primary frequency (governor) response so they can support the frequency stability of the grid. To provide governor response, wind turbines should be able to generate less power than the available wind power and hold the rest in reserve, ready to be accessed as needed. This paper explores several ways to control wind turbine output to enable reserve-holding capability. This paper focuses on fixed-speed (also known as Type 1) and variable-slip (also known as Type 2) turbines.

  20. Dynamics of cosmic strings with higher-dimensional windings

    SciTech Connect (OSTI)

    Yamauchi, Daisuke; Lake, Matthew J.

    2015-06-11

    We consider F-strings with arbitrary configurations in the Minkowski directions of a higher-dimensional spacetime, which also wrap and spin around S{sup 1} subcycles of constant radius in an arbitrary internal manifold, and determine the relation between the higher-dimensional and the effective four-dimensional quantities that govern the string dynamics. We show that, for any such configuration, the motion of the windings in the compact space may render the string effectively tensionless from a four-dimensional perspective, so that it remains static with respect to the large dimensions. Such a critical configuration occurs when (locally) exactly half the square of the string length lies in the large dimensions and half lies in the compact space. The critical solution is then seen to arise as a special case, in which the wavelength of the windings is equal to their circumference. As examples, long straight strings and circular loops are considered in detail, and the solutions to the equations of motion that satisfy the tensionless condition are presented. These solutions are then generalized to planar loops and arbitrary three-dimensional configurations. Under the process of dimensional reduction, in which higher-dimensional motion is equivalent to an effective worldsheet current (giving rise to a conserved charge), this phenomenon may be seen as the analogue of the tensionless condition which arises for superconducting and chiral-current carrying cosmic strings.

  1. WIND SPEED AND ATMOSPHERIC STABILITY TRENDS FOR SELECTED UNITED STATES SURFACE STATIONS

    SciTech Connect (OSTI)

    Buckley, R; Allen H. Weber, A

    2006-11-01

    Recently it has been suggested that global warming and a decrease in mean wind speeds over most land masses are related. Decreases in near surface wind speeds have been reported by previous investigators looking at records with time spans of 15 to 30 years. This study focuses on United States (US) surface stations that have little or no location change since the late 1940s or the 1950s--a time range of up to 58 years. Data were selected from 62 stations (24 of which had not changed location) and separated into ten groups for analysis. The group's annual averages of temperature, wind speed, and percentage of Pasquill-Gifford (PG) stability categories were fitted with linear least squares regression lines. The results showed that the temperatures have increased for eight of the ten groups as expected. Wind speeds have decreased for nine of the ten groups. The mean slope of the wind speed trend lines for stations within the coterminous US was -0.77 m s{sup -1} per century. The percentage frequency of occurrence for the neutral (D) PG stability category decreased, while that for the unstable (B) and the stable (F) categories increased in almost all cases except for the group of stations located in Alaska.

  2. Twin Groves Wind Energy Facility Cut-in Speeds

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

    SYNTHESIS OF OPERATIONAL MITIGATION STUDIES TO REDUCE BAT FATALITIES AT WIND ENERGY FACILITIES IN NORTH AMERICA Prepared for: The National Renewable Energy Laboratory 15013 Denver West Parkway Golden, CO 80401 Prepared by: Edward B. Arnett 1 , Gregory D. Johnson 2 , Wally P. Erickson 2 , and Cris D. Hein 3 1 Theordore Roosevelt Conservation Partnership 2 Western EcoSystems Technology, Inc. 3 Bat Conservation International March 2013 CITATION Arnett, E. B., G. D. Johnson, W. P. Erickson, and C.

  3. Low Wind Speed Technology Phase II: Integrated Wind Energy/Desalination System; General Electric Global Research

    SciTech Connect (OSTI)

    Not Available

    2006-03-01

    This fact sheet describes a subcontract with General Electric Global Research to explore wind power as a desirable option for integration with desalination technologies.

  4. Solar wind suprathermal electron Stahl widths across high-speed stream structures

    SciTech Connect (OSTI)

    Skoug, Ruth M [Los Alamos National Laboratory; Steinberg, John T [Los Alamos National Laboratory; Goodrich, Katherine A [Los Alamos National Laboratory; Anderson, Brett R [DARTMUTH UNIV.

    2011-01-03

    Suprathermal electrons (100-1500 eV) observed in the solar wind typically show a strahl distribution, that is, a beam directed away from the Sun along the magnetic field direction. The strahl width observed at 1 AU is highly variable, ranging from 10-70 degrees. The obsenred finite width of the strahl results from the competition between beam focusing as the interplanetary magnetic field strength drops with distance from the Sun, and pitch-angle scattering as the beam interacts with the solar wind plasma in transit from the sun. Here we examine strahl width, observed with ACE SWEPAM across high-speed stream structures to investigate variations in electron scattering as a function of local plasma characteristics. We find that narrow strahls (less than 20 degrees wide), indicating reduced scattering, are observed within high-speed streams. Narrow strahls are also observed in both very low temperature solar wind, in association with ICMEs. Case studies of high-speed streams typically show the strahl narrowing at the leading edge of the stream. In some cases, the strahl narrows at the reverse shock or pressure wave, in other cases at the stream interface. The narrowing can either occur discontinuously or gradually over a period of hours. Within the high-speed wind, the strahl remains narrow for a period of hours to days, and then gradually broadens. The strahl width is roughly constant at all energies across these structures. For some fraction of high-speed streams, counterstreaming is associated with passage of the corotating interaction region. In these cases, we find the widths of the two counterstreaming beams frequently differ by more than 40 degrees. This dramatic difference in strahl width contrasts with observations in the solar wind as a whole, in which counterstreaming strahls typically differ in width by less than 20 degrees.

  5. Advancing Wind Integration Study Methodologies: Implications of Higher Levels of Wind

    SciTech Connect (OSTI)

    Milligan, M.; Ela, E.; Lew, D.; Corbus, D.; Wan, Y. H.

    2010-07-01

    The authors report on the evolution of techniques to better model high penetrations (generally, 20% or more energy penetration) of wind energy.

  6. Low Wind Speed Turbine Project Phase II: The Application of Medium-Voltage Electrical Apparatus to the Class of Variable Speed Multi-Megawatt Low Wind Speed Turbines; 15 June 2004--30 April 2005

    SciTech Connect (OSTI)

    Erdman, W.; Behnke, M.

    2005-11-01

    Kilowatt ratings of modern wind turbines have progressed rapidly from 50 kW to 1,800 kW over the past 25 years, with 3.0- to 7.5-MW turbines expected in the next 5 years. The premise of this study is simple: The rapid growth of wind turbine power ratings and the corresponding growth in turbine electrical generation systems and associated controls are quickly making low-voltage (LV) electrical design approaches cost-ineffective. This report provides design detail and compares the cost of energy (COE) between commercial LV-class wind power machines and emerging medium-voltage (MV)-class multi-megawatt wind technology. The key finding is that a 2.5% reduction in the COE can be achieved by moving from LV to MV systems. This is a conservative estimate, with a 3% to 3.5% reduction believed to be attainable once purchase orders to support a 250-turbine/year production level are placed. This evaluation considers capital costs as well as installation, maintenance, and training requirements for wind turbine maintenance personnel. Subsystems investigated include the generator, pendant cables, variable-speed converter, and padmount transformer with switchgear. Both current-source and voltage-source converter/inverter MV topologies are compared against their low-voltage, voltage-source counterparts at the 3.0-, 5.0-, and 7.5-MW levels.

  7. Frequency Regulation and Oscillation Damping Contributions of Variable-Speed Wind Generators in the U.S. Eastern Interconnection (EI)

    SciTech Connect (OSTI)

    Liu, Yong; Gracia, Jose R,; King, Jr, Thomas J.; Liu, Yilu

    2014-05-16

    The U.S. Eastern Interconnection (EI) is one of the largest electric power grids in the world and is expected to have difficulties in dealing with frequency regulation and oscillation damping issues caused by the increasing wind power. On the other side, variable-speed wind generators can actively engage in frequency regulation or oscillation damping with supplementary control loops. This paper creates a 5% wind power penetration simulation scenario based on the 16 000-bus EI system dynamic model and developed the user-defined wind electrical control model in PSS (R) E that incorporates additional frequency regulation and oscillation damping control loops. We evaluated the potential contributions of variable-speed wind generations to the EI system frequency regulation and oscillation damping, and simulation results demonstrate that current and future penetrations of wind power are promising in the EI system frequency regulation and oscillation damping.

  8. Frequency Regulation and Oscillation Damping Contributions of Variable-Speed Wind Generators in the U.S. Eastern Interconnection (EI)

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

    Liu, Yong; Gracia, Jose R,; King, Jr, Thomas J.; Liu, Yilu

    2014-05-16

    The U.S. Eastern Interconnection (EI) is one of the largest electric power grids in the world and is expected to have difficulties in dealing with frequency regulation and oscillation damping issues caused by the increasing wind power. On the other side, variable-speed wind generators can actively engage in frequency regulation or oscillation damping with supplementary control loops. This paper creates a 5% wind power penetration simulation scenario based on the 16 000-bus EI system dynamic model and developed the user-defined wind electrical control model in PSS (R) E that incorporates additional frequency regulation and oscillation damping control loops. We evaluatedmore » the potential contributions of variable-speed wind generations to the EI system frequency regulation and oscillation damping, and simulation results demonstrate that current and future penetrations of wind power are promising in the EI system frequency regulation and oscillation damping.« less

  9. Error propagation equations for estimating the uncertainty in high-speed wind tunnel test results

    SciTech Connect (OSTI)

    Clark, E.L.

    1994-07-01

    Error propagation equations, based on the Taylor series model, are derived for the nondimensional ratios and coefficients most often encountered in high-speed wind tunnel testing. These include pressure ratio and coefficient, static force and moment coefficients, dynamic stability coefficients, and calibration Mach number. The error equations contain partial derivatives, denoted as sensitivity coefficients, which define the influence of free-steam Mach number, M{infinity}, on various aerodynamic ratios. To facilitate use of the error equations, sensitivity coefficients are derived and evaluated for five fundamental aerodynamic ratios which relate free-steam test conditions to a reference condition.

  10. Prediction and analysis of infra and low-frequency noise of upwind horizontal axis wind turbine using statistical wind speed model

    SciTech Connect (OSTI)

    Lee, Gwang-Se; Cheong, Cheolung

    2014-12-15

    Despite increasing concern about low-frequency noise of modern large horizontal-axis wind turbines (HAWTs), few studies have focused on its origin or its prediction methods. In this paper, infra- and low-frequency (the ILF) wind turbine noise are closely examined and an efficient method is developed for its prediction. Although most previous studies have assumed that the ILF noise consists primarily of blade passing frequency (BPF) noise components, these tonal noise components are seldom identified in the measured noise spectrum, except for the case of downwind wind turbines. In reality, since modern HAWTs are very large, during rotation, a single blade of the turbine experiences inflow with variation in wind speed in time as well as in space, breaking periodic perturbations of the BPF. Consequently, this transforms acoustic contributions at the BPF harmonics into broadband noise components. In this study, the ILF noise of wind turbines is predicted by combining Lowson’s acoustic analogy with the stochastic wind model, which is employed to reproduce realistic wind speed conditions. In order to predict the effects of these wind conditions on pressure variation on the blade surface, unsteadiness in the incident wind speed is incorporated into the XFOIL code by varying incident flow velocities on each blade section, which depend on the azimuthal locations of the rotating blade. The calculated surface pressure distribution is subsequently used to predict acoustic pressure at an observing location by using Lowson’s analogy. These predictions are compared with measured data, which ensures that the present method can reproduce the broadband characteristics of the measured low-frequency noise spectrum. Further investigations are carried out to characterize the IFL noise in terms of pressure loading on blade surface, narrow-band noise spectrum and noise maps around the turbine.

  11. LIDAR Wind Speed Measurement Analysis and Feed-Forward Blade Pitch Control for Load Mitigation in Wind Turbines: January 2010--January 2011

    SciTech Connect (OSTI)

    Dunne, F.; Simley, E.; Pao, L.Y.

    2011-10-01

    This report examines the accuracy of measurements that rely on Doppler LIDAR systems to determine their applicability to wind turbine feed-forward control systems and discusses feed-forward control system designs that use preview wind measurements. 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 feed-forward 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. The first half of this report examines the accuracy of different measurement scenarios that rely on coherent continuous-wave or pulsed Doppler LIDAR systems to determine their applicability to feed-forward control. In particular, the impacts of measurement range and angular offset from the wind direction are studied for various wind conditions. A realistic case involving a scanning LIDAR unit mounted in the spinner of a wind turbine is studied in depth with emphasis on choices for scan radius and preview distance. The effects of turbulence parameters on measurement accuracy are studied as well. Continuous-wave and pulsed LIDAR models based on typical commercially available units were used in the studies present in this report. The second half of this report discusses feed-forward control system designs that use preview wind measurements. Combined feedback/feed-forward blade pitch control is compared to industry standard feedback control when simulated in realistic turbulent above-rated winds. The feed-forward controllers are designed to reduce fatigue loads, increasing turbine lifetime and therefore reducing the cost of energy. Three feed-forward designs are studied: non-causal series expansion, Preview Control, and optimized FIR filter. The input to the feed-forward controller is a measurement of

  12. Solar wind stream interaction: Electron temperature and heat flux rise in the low-speed stream

    SciTech Connect (OSTI)

    Alexander, P.; Duhau, S. )

    1990-11-01

    The strong compression produced in two-stream interaction regions in the solar wind is a local source of heating. The study of the distribution of that energy between heat and internal energy provides valuable information about transport processes. In the present work, the electron heat flux and temperature rise in the compression produced within the low-speed portion of the interaction region is predicted using a new heat conduction law valid for collisionless plasmas with isotropic electron temperature, introduced recently by one of the authors. Equations are found for the electron heat flux and temperature rise as functions of two parameters, one related to the strength of the compression and the other one to the heat flux at the boundaries of the region under study. These equations lead to agreement between theory and experiment.

  13. Application of Ensemble Sensitivity Analysis to Observation Targeting for Short-term Wind Speed Forecasting

    SciTech Connect (OSTI)

    Zack, J; Natenberg, E; Young, S; Manobianco, J; Kamath, C

    2010-02-21

    The operators of electrical grids, sometimes referred to as Balancing Authorities (BA), typically make critical decisions on how to most reliably and economically balance electrical load and generation in time frames ranging from a few minutes to six hours ahead. At higher levels of wind power generation, there is an increasing need to improve the accuracy of 0- to 6-hour ahead wind power forecasts. Forecasts on this time scale have typically been strongly dependent on short-term trends indicated by the time series of power production and meteorological data from a wind farm. Additional input information is often available from the output of Numerical Weather Prediction (NWP) models and occasionally from off-site meteorological towers in the region surrounding the wind generation facility. A widely proposed approach to improve short-term forecasts is the deployment of off-site meteorological towers at locations upstream from the wind generation facility in order to sense approaching wind perturbations. While conceptually appealing, it turns out that, in practice, it is often very difficult to derive significant benefit in forecast performance from this approach. The difficulty is rooted in the fact that the type, scale, and amplitude of the processes controlling wind variability at a site change from day to day if not from hour to hour. Thus, a location that provides some useful forecast information for one time may not be a useful predictor a few hours later. Indeed, some processes that cause significant changes in wind power production operate predominantly in the vertical direction and thus cannot be monitored by employing a network of sensors at off-site locations. Hence, it is very challenging to determine the type of sensors and deployment locations to get the most benefit for a specific short-term forecast application. Two tools recently developed in the meteorological research community have the potential to help determine the locations and parameters to

  14. Fact #773: April 1, 2013 Fuel Economy Penalty at Higher Speeds

    Broader source: Energy.gov [DOE]

    Each vehicle reaches an optimal fuel economy at a different speed or range of speeds. A recent study by Oak Ridge National Laboratory illustrates that point with a wide range of data collected on...

  15. Low Wind Speed Technology Phase II: Offshore Floating Wind Turbine Concepts: Fully Coupled Dynamic Response Simulations; Massachusetts Institute of Technology

    SciTech Connect (OSTI)

    Not Available

    2006-03-01

    This fact sheet describes a subcontract with Massachusetts Institute of Technology to study dynamic response simulations to evaluate floating platform concepts for offshore wind turbines.

  16. Variable-Speed Wind Power Plant Operating With Reserve Power Capability: Preprint

    SciTech Connect (OSTI)

    Singh, M.; Gevorgian, V.; Muljadi, E.; Ela, E.

    2013-10-01

    As the level of wind penetration increases, wind turbine technology must move from merely generating power from wind to taking a role in supporting the bulk power system. Wind turbines should have the capability to provide inertial response and primary frequency (governor) response. Wind turbine generators with this capability can support the frequency stability of the grid. To provide governorresponse, wind turbines should be able to generate less power than the available wind power and hold the rest in reserves, ready to be accessed as needed. In this paper, we explore several ways to control wind turbine output to enable reserve-holding capability. The focus of this paper is on doubly-fed induction generator (also known as Type 3) and full-converter (also known as Type 4) windturbines.

  17. Technology Improvement Opportunities for Low Wind Speed Turbines and Implications for Cost of Energy Reduction

    SciTech Connect (OSTI)

    None

    2008-02-01

    This report analyzes the status of wind energy technology in 2002 and describes the potential for technology advancements to reduce the cost and increase the performance of wind turbines.

  18. MHK ISDB/Sensors/Wind Speed Sensor 2740 | Open Energy Information

    Open Energy Info (EERE)

    Velocity Planar Measurement (Current), 3D Velocity Volumetric Measurement (Current), Density (Ice), Direction (Ice), Speed (Ice), Thickness (Ice), Pressure (Tidal), Sea Surface...

  19. See the Wind

    Office of Energy Efficiency and Renewable Energy (EERE)

    The goal of this activity is to help students see the difference in the speed and smoothness of the wind at different altitudes above the earth. This is important for wind engineers as they seek to place their wind turbines in the fastest and smoothest winds possible. It is also a major reason that wind turbines are getting larger and higher in the sky, and is why we are starting to see wind turbines in the plains and out in the ocean near the coast. Teacher background and assessment sheets are provided.

  20. NREL: Wind Research - Offshore Wind Resource Characterization

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

    Wind Resource Characterization Map of the United States, showing the wind potential of offshore areas across the country. Enlarge image US offshore wind speed estimates at 90-m ...

  1. Variable-speed wind power system with improved energy capture via multilevel conversion

    DOE Patents [OSTI]

    Erickson, Robert W.; Al-Naseem, Osama A.; Fingersh, Lee Jay

    2005-05-31

    A system and method for efficiently capturing electrical energy from a variable-speed generator are disclosed. The system includes a matrix converter using full-bridge, multilevel switch cells, in which semiconductor devices are clamped to a known constant DC voltage of a capacitor. The multilevel matrix converter is capable of generating multilevel voltage wave waveform of arbitrary magnitude and frequencies. The matrix converter can be controlled by using space vector modulation.

  2. Wind Simulation

    Energy Science and Technology Software Center (OSTI)

    2008-12-31

    The Software consists of a spreadsheet written in Microsoft Excel that provides an hourly simulation of a wind energy system, which includes a calculation of wind turbine output as a power-curve fit of wind speed.

  3. Scale Models and Wind Turbines

    K-12 Energy Lesson Plans and Activities Web site (EERE)

    As wind turbines and wind farms become larger to take advantage of the economies of scale and increased wind speeds at higher altitudes, their impact in the locales where they are sited becomes more dramatic. One place this is especially contentious is in the offshore environment of the Northeast. This lesson explores scale models and the issues surrounding models and their accuracy when developing a large wind farm. Worksheets are included.

  4. Wind farm array wake losses

    SciTech Connect (OSTI)

    Baker, R.W.; McCarthy, E.F.

    1997-12-31

    A wind turbine wake study was conducted in the summer of 1987 at an Altamont Pass wind electric generating facility. The wind speed deficits, turbulence, and power deficits from an array consisting of several rows of wind turbines is discussed. A total of nine different test configurations were evaluated for a downwind spacing ranging from 7 rotor diameters (RD) to 34 RD and a cross wind spacing of 1.3 RD and 2.7 RD. Wake power deficits of 15% were measured at 16 RD and power losses of a few percent were even measurable at 27 RD for the closer cross wind spacing. For several rows of turbines separated by 7-9 RD the wake zones overlapped and formed compound wakes with higher velocity deficits. The wind speed and direction turbulence in the wake was much higher than the ambient turbulence. The results from this study are compared to the findings from other similar field measurements.

  5. Utility-scale variable-speed wind turbines using a doubly-fed generator with a soft-switching power converter

    SciTech Connect (OSTI)

    Weigand, C.H.; Lauw, H.K.; Marckx, D.A.

    1996-12-31

    Utility-scale wind turbines operating at variable RPM have been studied for a considerable period of time. Whereas the increase in energy output originally has been considered the principal benefit of variable-speed operation, the ability to tightly control the drive-train torque by electronic means is becoming another very important cost factor, especially for turbine ratings above 500 kilowatts. This cost benefit becomes even more significant as optimum turbine ratings today are approaching (and surpassing) 1 Megawatt. Having identified the benefits for the turbine, the designer is confronted with the task of finding the most cost-effective variable-speed generation system which allows him to make use of the benefits, yet does not introduce well-known electrical problems associated with state-of-the-art variable-speed generator controls, such as drastically reduced generator winding life, excessive harmonics on the utility, and poor utility power factor. This paper will indicate that for high-power (> 500 kW), utility-scale wind turbines a doubly-fed generator system in connection with a soft-switching resonant power converter is the least-cost variable-speed generation system offering all of the desired benefits, yet avoids the introduction of the potential electrical problems stated above. 3 refs., 3 figs., 1 tab.

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

    SciTech Connect (OSTI)

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

    2011-03-28

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

  7. Low Speed Technology for Small Turbine Development Reaction Injection Molded 7.5 Meter Wind Turbine Blade

    SciTech Connect (OSTI)

    David M. Wright; DOE Project Officer - Keith Bennett

    2007-07-31

    An optimized small turbine blade (7.5m radius) was designed and a partial section molded with the RIM (reaction-injection molded polymer) process for mass production. The intended market is for generic three-bladed wind turbines, 100 kilowatts or less, for grid-assist end users with rural and semi-rural sites, such as the farm/ranch market, having low to moderate IEC Class 3-4 wind regimes. This blade will have substantial performance improvements over, and be cheaper than, present-day 7.5m blades. This is made possible by the injection-molding process, which yields high repeatability, accurate geometry and weights, and low cost in production quantities. No wind turbine blade in the 7.5m or greater size has used this process. The blade design chosen uses a RIM skin bonded to a braided infused carbon fiber/epoxy spar. This approach is attractive to present users of wind turbine blades in the 5-10m sizes. These include rebladeing California wind farms, refurbishing used turbines for the Midwest farm market, and other manufacturers introducing new turbines in this size range.

  8. File:Calabarzon Speed 100m | Open Energy Information

    Open Energy Info (EERE)

    Calabarzon - Republic of the Philippines Wind Speed at 100 meters Sources National Renewable Energy Laboratory Authors Billy Roberts Related Technologies Wind, Wind 100m...

  9. Preliminary analysis of the audible noise of constant-speed, horizontal-axis wind-turbine generators

    SciTech Connect (OSTI)

    Keast, D. N.; Potter, R. C.

    1980-07-01

    An analytical procedure has been developed for calculating certain aerodynamic sound levels produced by large, horizontal-axis wind-turbine generators (WTG's) such as the DOE/NASA Mods-0, -0A, -1, and -2. This preliminary procedure is based upon very limited field data from the Mod-0. It postulates a noise component due to the (constant) rotation of the blades of the WTG, plus a wake-noise component that increases with the square of the power produced by the WTG. Mechanical sound from machinery, and low-frequency impulsive sounds produced by blade interaction with the wake of the support tower are not considered.

  10. Wind Gallery | Department of Energy

    Office of Environmental Management (EM)

    Supports the structure of the turbine. Because wind speed increases with height, taller ... Measures wind direction and communicates with the yaw drive to orient the turbine properly ...

  11. On the measurement of wind speeds in tornadoes with a portable CW/FM-CW Doppler radar

    SciTech Connect (OSTI)

    Bluestein, H.B. . School of Meteorology); Unruh, W.P. )

    1991-01-01

    Both the formation mechanism and structure of tornadoes are not yet well understood. The Doppler radar is probably the best remote-sensing instrument at present for determining the wind field in tornadoes. Although much has been learned about the non-supercell tornado from relatively close range using Doppler radars at fixed sites, close-range measurements in supercell tornadoes are relatively few. Doppler radar can increase significantly the number of high-resolution, sub-cloud base measurements of both the tornado vortex and its parent vortex in supercells, with simultaneous visual documentation. The design details and operation of the CW/FM-CW Doppler radar developed at the Los Alamos National Laboratory and used by storm-intercept teams at the Univ. of Oklahoma are described elsewhere. The radar transmits 1 W at 3 cm, and can be switched back and forth between CW and FM-CW modes. In the FM-CW mode the sweep repetition frequency is 15.575 kHz and the sweep width 1.9 MHz; the corresponding maximum unambiguous range and velocity, and range resolution are 5 km, {plus minus} 115 m s{sup {minus}1}, and 78 m respectively. The bistatic antennas, which have half-power beamwidths of 5{degree}, are easily pointed wit the aid of a boresighted VCR. FM-CW Data are recorded on the VCR, while voice documentation is recorded on the audio tape; video is recorded on another VCR. The radar and antennas are easily mounted on a tripod, and can be set up by three people in a minute or two. The purpose of this paper is to describe the signal processing techniques used to determine the Doppler spectrum in the FM-CW mode and a method of its interpretation in real time, and to present data gathered in a tornadic storm in 1990. 15 refs., 7 figs.

  12. Eastern Wind Integration Data Set | Grid Modernization | NREL

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

    Wind power plant locations were determined using a proprietary AWS Truepower wind speed ... The wind speed and power output time series for each wind power plant were computed by ...

  13. Offshore Wind Project Surges Ahead in South Carolina

    Broader source: Energy.gov [DOE]

    The Center for Marine and Wetland Studies studies wind speed data from buoys, which have been measuring wind speed and direction for the past year.

  14. Technology Improvement Opportunities for Low Wind Speed Turbines and Implications for Cost of Energy Reduction: July 9, 2005 - July 8, 2006

    SciTech Connect (OSTI)

    Cohen, J.; Schweizer, T.; Laxson, A.; Butterfield, S.; Schreck, S.; Fingersh, L.; Veers, P.; Ashwill, T.

    2008-02-01

    This report analyzes the status of wind energy technology in 2002 and describes the potential for technology advancements to reduce the cost and increase the performance of wind turbines.

  15. South Carolina Opens Nation's Largest Wind Drivetrain Testing...

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

    new turbines, particularly for offshore wind-helping to speed deployment of next ... conduct research on stronger, more durable wind drivetrains for land-based wind farms. ...

  16. South Carolina Opens Nation's Largest Wind Drivetrain Testing...

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

    new turbines, particularly for offshore wind - helping to speed deployment of next ... conduct research on stronger, more durable wind drivetrains for land-based wind farms. ...

  17. Key Activities in Wind Energy | Department of Energy

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

    help communities weigh the benefits and costs of wind energy, understand the deployment ... to electricity supply and demand, wind forecasting, and wind speed variability Develop ...

  18. Wind turbine

    DOE Patents [OSTI]

    Cheney, Jr., Marvin C.

    1982-01-01

    A wind turbine of the type having an airfoil blade (15) mounted on a flexible beam (20) and a pitch governor (55) which selectively, torsionally twists the flexible beam in response to wind turbine speed thereby setting blade pitch, is provided with a limiter (85) which restricts unwanted pitch change at operating speeds due to torsional creep of the flexible beam. The limiter allows twisting of the beam by the governor under excessive wind velocity conditions to orient the blades in stall pitch positions, thereby preventing overspeed operation of the turbine. In the preferred embodiment, the pitch governor comprises a pendulum (65,70) which responds to changing rotor speed by pivotal movement, the limiter comprising a resilient member (90) which engages an end of the pendulum to restrict further movement thereof, and in turn restrict beam creep and unwanted blade pitch misadjustment.

  19. NREL-International Wind Resource Maps | Open Energy Information

    Open Energy Info (EERE)

    Shenyang 50m Wind Power China Tianjin 50m Wind Power China Yinchuan 50m Wind Power East China Map Reference Eastern Visayas Philippines Wind Speed 100m-01 NREL-30m-US-Wind...

  20. Wind energy conversion system

    DOE Patents [OSTI]

    Longrigg, Paul

    1987-01-01

    The wind energy conversion system includes a wind machine having a propeller connected to a generator of electric power, the propeller rotating the generator in response to force of an incident wind. The generator converts the power of the wind to electric power for use by an electric load. Circuitry for varying the duty factor of the generator output power is connected between the generator and the load to thereby alter a loading of the generator and the propeller by the electric load. Wind speed is sensed electro-optically to provide data of wind speed upwind of the propeller, to thereby permit tip speed ratio circuitry to operate the power control circuitry and thereby optimize the tip speed ratio by varying the loading of the propeller. Accordingly, the efficiency of the wind energy conversion system is maximized.

  1. ARM - Wind Chill Calculations

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

    CalculatorsWind Chill Calculations Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Wind Chill Calculations Wind Chill is the apparent temperature felt on the exposed human body owing to the combination of temperature and wind speed. From 1945 to 2001, Wind Chill was calculated by the Siple

  2. An Exploration of Wind Energy & Wind Turbines

    K-12 Energy Lesson Plans and Activities Web site (EERE)

    This unit, which includes both a pre and post test on wind power engages students by allowing them to explore connections between wind energy and other forms of energy. Students learn about and examine the overall design of a wind turbine and then move forward with an assessment of the energy output as factors involving wind speed, direction and blade design are altered. Students are directed to work in teams to design, test and analyze components of a wind turbine such as blade length, blade shape, height of turbine, etc Student worksheets are included to facilitate the design and analysis process. Learning Goals: Below are the learning targets for the wind energy unit.

  3. WINDExchange: Where Is Wind Power?

    Wind Powering America (EERE)

    Where Is Wind Power? WINDExchange offers maps to help you visualize the wind resource at a local level and to show how much wind power has been installed in the United States. How much wind power is on my land? Go to the wind resource maps. Go to the wind resource maps. Go to the wind resource maps. If you want to know how much wind power is in a particular area, these wind resource maps can give you a visual indication of the average wind speeds to a local level such as a neighborhood. These

  4. Coastal Ohio Wind Project

    SciTech Connect (OSTI)

    Gorsevski, Peter; Afjeh, Abdollah; Jamali, Mohsin; Bingman, Verner

    2014-04-04

    using different evaluation criteria, and an Android application for collection of field data using mobile and tablet devices . In summary, the simulations of two- and three-blade wind turbines suggested that two-bladed machines could produce comparable annual energy as the three-blade wind turbines but have a lighter tower top weight, which leads to lower cost of energy. In addition, the two-blade rotor configuration potentially costs 20% less than a three blade configuration that produces the same power at the same site. The cost model analysis predicted a potential cost savings of approximately 15% for offshore two-blade wind turbines. The foundation design for a wind turbine in Lake Erie is likely to be driven by ice loads based on the currently available ice data and ice mechanics models. Hence, for Lake Eire, the cost savings will be somewhat smaller than the other lakes in the Great Lakes. Considering the size of cranes and vessels currently available in the Great Lakes, the cost optimal wind turbine size should be 3 MW, not larger. The surveillance data from different monitoring systems suggested that bird and bat passage rates per hour were comparable during heavy migrations in both spring and fall seasons while passage rates were significantly correlated to wind directions and wind speeds. The altitude of migration was higher during heavy migrations and higher over water relative to over land. Notable portions of migration on some spring nights occurred parallel the shoreline, often moving perpendicular to southern winds. The birds approaching the Western basin have a higher propensity to cross than birds approaching the Central basin of Lake Erie and as such offshore turbine development might be a better option further east towards Cleveland than in the Western basin. The high stopover density was more strongly associated with migration volume the following night rather than the preceding night. The processed mean scalar wind speeds with temporal resolutions

  5. Your wind driven generator

    SciTech Connect (OSTI)

    Wolff, B.

    1984-01-01

    Wind energy pioneer Benjamin Lee Wolff offers practical guidance on all aspects of setting up and operating a wind machine. Potential builders will learn how to: determine if wind energy is suitable for a specific application; choose an appropriate machine; assess the financial costs and benefits of wind energy; obtain necessary permits; sell power to local utilities; and interpret a generator's specifications. Coverage includes legislation, regulations, siting, and operation. While describing wind energy characteristics, Wolff explores the relationships among wind speed, rotor diameter, and electrical power capacity. He shows how the power of wind energy can be tapped at the lowest cost.

  6. 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.

  7. Eastern Wind Integration and Transmission Study: Executive Summary...

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

    ... the weather of historical years and generate a four-dimensional gridded wind-speed data set. A wind speed time series data set can be extracted and converted to wind power output. ...

  8. Wind Energy Resource Assessment of the Caribbean and Central America

    SciTech Connect (OSTI)

    DL Elliott; CI Aspliden; GL Gower; CG Holladay, MN Schwartz

    1987-04-01

    A wind energy resource assessment of the Caribbean and Central America has identified many areas with good to outstanding wind resource potential for wind turbine applications. Annual average wind resource maps and summary tables have been developed for 35 island/country areas throughout the Caribbean and Central America region. The wind resource maps highlight the locations of major resource areas and provide estimates of the wind energy resource potential for typical well-exposed sites in these areas. The average energy in the wind flowing in the layer near the ground is expressed as a wind power class: the greater the average wind energy, the higher the wind power class. The summary tables that are included with each of the 35 island/country wind energy maps provide information on the frequency distribution of the wind speeds (expressed as estimates of the Weibull shape factor, k) and seasonal variations in the wind resource for the major wind resource areas identified on the maps. A new wind power class legend has been developed for relating the wind power classes to values of mean wind power density, mean wind speed, and Weibull k. Guidelines are presented on how to adjust these values to various heights above ground for different roughness and terrain characteristics. Information evaluated in preparing the assessment included existing meteorological data from airports and other weather stations, and from ships and buoys in offshore and coastal areas. In addition, new data from recent measurement sites established for wind energy siting studies were obtained for a few areas of the Caribbean. Other types of information evaluated in the assessment were climatological data and maps on winds aloft, surface pressure, air flow, and topography. The various data were screened and evaluated for their usefulness in preparing the wind resource assessment. Much of the surface data from airports and other land-based weather stations were determined to be from sheltered

  9. Wind Technology Advancements and Impacts on Western Wind Resources (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-09-01

    Robi Robichaud made this presentation at the Bureau of Land Management West-wide Wind Opportunities and Constraints Mapping (WWOCM) Project public meeting in Denver, Colorado in September 2014. This presentation outlines recent wind technology advancements, evolving turbine technologies, and industry challenges. The presentation includes maps of mean wind speeds at 50-m, 80-m, and 100-m hub heights on BLM lands. Robichaud also presented on the difference in mean wind speeds from 80m to 100m in Wyoming.

  10. NREL: Wind Research - NREL's WIND Toolkit Provides the Data Needed...

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

    by the numerical model. Barometric pressure, wind speed and direction (at 100 m above ground level), relative humidity, temperature, and air density data are available via an...

  11. 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 Value-Added Product Wind speed and direction, together with pressure, temperature, and ...

  12. Dissipation of turbulence in the wake of a wind turbine

    SciTech Connect (OSTI)

    Lundquist, J. K.; Bariteau, L.

    2014-11-06

    The wake of a wind turbine is characterized by increased turbulence and decreased wind speed. Turbines are generally deployed in large groups in wind farms, and so the behaviour of an individual wake as it merges with other wakes and propagates downwind is critical in assessing wind-farm power production. This evolution depends on the rate of turbulence dissipation in the wind-turbine wake, which has not been previously quantified in field-scale measurements. In situ measurements of winds and turbulence dissipation from the wake region of a multi-MW turbine were collected using a tethered lifting system (TLS) carrying a payload of high-rate turbulence probes. Ambient flow measurements were provided from sonic anemometers on a meteorological tower located near the turbine. Good agreement between the tower measurements and the TLS measurements was established for a case without a wind-turbine wake. When an operating wind turbine is located between the tower and the TLS so that the wake propagates to the TLS, the TLS measures dissipation rates one to two orders of magnitude higher in the wake than outside of the wake. These data, collected between two and three rotor diameters D downwind of the turbine, document the significant enhancement of turbulent kinetic energy dissipation rate within the wind-turbine wake. These wake measurements suggest that it may be useful to pursue modelling approaches that account for enhanced dissipation. Furthermore. comparisons of wake and non-wake dissipation rates to mean wind speed, wind-speed variance, and turbulence intensity are presented to facilitate the inclusion of these measurements in wake modelling schemes.

  13. Dissipation of turbulence in the wake of a wind turbine

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

    Lundquist, J. K.; Bariteau, L.

    2014-11-06

    The wake of a wind turbine is characterized by increased turbulence and decreased wind speed. Turbines are generally deployed in large groups in wind farms, and so the behaviour of an individual wake as it merges with other wakes and propagates downwind is critical in assessing wind-farm power production. This evolution depends on the rate of turbulence dissipation in the wind-turbine wake, which has not been previously quantified in field-scale measurements. In situ measurements of winds and turbulence dissipation from the wake region of a multi-MW turbine were collected using a tethered lifting system (TLS) carrying a payload of high-ratemore » turbulence probes. Ambient flow measurements were provided from sonic anemometers on a meteorological tower located near the turbine. Good agreement between the tower measurements and the TLS measurements was established for a case without a wind-turbine wake. When an operating wind turbine is located between the tower and the TLS so that the wake propagates to the TLS, the TLS measures dissipation rates one to two orders of magnitude higher in the wake than outside of the wake. These data, collected between two and three rotor diameters D downwind of the turbine, document the significant enhancement of turbulent kinetic energy dissipation rate within the wind-turbine wake. These wake measurements suggest that it may be useful to pursue modelling approaches that account for enhanced dissipation. Furthermore. comparisons of wake and non-wake dissipation rates to mean wind speed, wind-speed variance, and turbulence intensity are presented to facilitate the inclusion of these measurements in wake modelling schemes.« less

  14. Wind Turbine Blade Design | GE Global Research

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

    Resource Assessment and Characterization Wind Resource Assessment and Characterization A crucial factor in the development, siting, and operation of a wind farm is the ability to assess and characterize available wind resources. The Wind Program supports efforts to accurately define, measure, and forecast the nation's land-based and offshore wind resources. More accurate prediction and measurement of wind speed and direction allow wind farms to supply clean, renewable power to businesses and

  15. Assessment of Offshore Wind Energy Resources for the United States

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

    ... 50 nm of shore. ...... 69 Table B15. New Hampshire offshore wind resource by wind speed interval, water depth and distance from shore ...

  16. Analysis of Precipitation (Rain and Snow) Levels and Straight-line Wind Speeds in Support of the 10-year Natural Phenomena Hazards Review for Los Alamos National Laboratory

    SciTech Connect (OSTI)

    Kelly, Elizabeth J.; Dewart, Jean Marie; Deola, Regina

    2015-12-10

    This report provides site-specific return level analyses for rain, snow, and straight-line wind extreme events. These analyses are in support of the 10-year review plan for the assessment of meteorological natural phenomena hazards at Los Alamos National Laboratory (LANL). These analyses follow guidance from Department of Energy, DOE Standard, Natural Phenomena Hazards Analysis and Design Criteria for DOE Facilities (DOE-STD-1020-2012), Nuclear Regulatory Commission Standard Review Plan (NUREG-0800, 2007) and ANSI/ ANS-2.3-2011, Estimating Tornado, Hurricane, and Extreme Straight-Line Wind Characteristics at Nuclear Facility Sites. LANL precipitation and snow level data have been collected since 1910, although not all years are complete. In this report the results from the more recent data (1990–2014) are compared to those of past analyses and a 2004 National Oceanographic and Atmospheric Administration report. Given the many differences in the data sets used in these different analyses, the lack of statistically significant differences in return level estimates increases confidence in the data and in the modeling and analysis approach.

  17. Renaissance for wind power

    SciTech Connect (OSTI)

    Flavin, C.

    1981-10-01

    Wind research and development during the 1970s and recent studies showing wind to be a feasible source of both electrical and mechanical power are behind the rapid expansion of wind energy. Improved technology should make wind energy economical in most countries having sufficient wind and appropriate needs. A form of solar energy, winds form a large pattern of global air circulation because the earth's rotation causes differences in pressure and oceans cause differences in temperature. New development in the ancient art of windmill making date to the 1973 oil embargo, but wind availability must be determined at local sites to determine feasibility. Whether design features of the new technology and the concept of large wind farms will be incorporated in national energy policies will depend on changing attitudes, acceptance by utilities, and the speed with which new information is developed and disseminated. 44 references, 6 figures. (DCK)

  18. ARM - Measurement - Horizontal wind

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

    govMeasurementsHorizontal wind 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 Measurement : Horizontal wind The horizontal wind in terms of either speed and direction, or the zonal (u) and meridional (v) components. Categories Atmospheric State Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a

  19. Wind Turbine Blade Design

    K-12 Energy Lesson Plans and Activities Web site (EERE)

    Blade engineering and design is one of the most complicated and important aspects of modern wind turbine technology. Engineers strive to design blades that extract as much energy from the wind as possible throughout a range of wind speeds and gusts, yet are still durable, quiet and cheap. A variety of ideas for building turbines and teacher handouts are included in this document and at the Web site.

  20. Wind Resource Assessment of Gujarat (India)

    SciTech Connect (OSTI)

    Draxl, C.; Purkayastha, A.; Parker, Z.

    2014-07-01

    India is one of the largest wind energy markets in the world. In 1986 Gujarat was the first Indian state to install a wind power project. In February 2013, the installed wind capacity in Gujarat was 3,093 MW. Due to the uncertainty around existing wind energy assessments in India, this analysis uses the Weather Research and Forecasting (WRF) model to simulate the wind at current hub heights for one year to provide more precise estimates of wind resources in Gujarat. The WRF model allows for accurate simulations of winds near the surface and at heights important for wind energy purposes. While previous resource assessments published wind power density, we focus on average wind speeds, which can be converted to wind power densities by the user with methods of their choice. The wind resource estimates in this study show regions with average annual wind speeds of more than 8 m/s.

  1. Methods and apparatus for reducing peak wind turbine loads

    DOE Patents [OSTI]

    Moroz, Emilian Mieczyslaw

    2007-02-13

    A method for reducing peak loads of wind turbines in a changing wind environment includes measuring or estimating an instantaneous wind speed and direction at the wind turbine and determining a yaw error of the wind turbine relative to the measured instantaneous wind direction. The method further includes comparing the yaw error to a yaw error trigger that has different values at different wind speeds and shutting down the wind turbine when the yaw error exceeds the yaw error trigger corresponding to the measured or estimated instantaneous wind speed.

  2. 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

  3. 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.

  4. Wind Generation on Winnebago Tribal Lands

    SciTech Connect (OSTI)

    Multiple

    2009-09-30

    months of the twelve-month collection period is consistent with that collected in the first seven months, the Western Winnebago site may present an interesting opportunity for Winnebago. Given the distance to nearby substations, and high cost of interconnection at higher voltage transmission lines, Winnebago would likely need to be part of a larger project in order to reduce power costs to more attractive levels. Another alternative would be to pursue grant funding for a portion of development or equipment costs, which would also help reduce the cost of power produced. The NREL tower from the WinnaVegas site was taken down in late 2008, re-instrumented and installation attempted on the Thunderway site south of the Winnebago community. Based on projected wind speeds, current equipment costs, and the project’s proximity to substations for possible interconnection, a Thunderway community-scale wind project could also be feasible.

  5. Wind farm electrical system

    DOE Patents [OSTI]

    Erdman, William L.; Lettenmaier, Terry M.

    2006-07-04

    An approach to wind farm design using variable speed wind turbines with low pulse number electrical output. The output of multiple wind turbines are aggregated to create a high pulse number electrical output at a point of common coupling with a utility grid network. Power quality at each individual wind turbine falls short of utility standards, but the aggregated output at the point of common coupling is within acceptable tolerances for utility power quality. The approach for aggregating low pulse number electrical output from multiple wind turbines relies upon a pad mounted transformer at each wind turbine that performs phase multiplication on the output of each wind turbine. Phase multiplication converts a modified square wave from the wind turbine into a 6 pulse output. Phase shifting of the 6 pulse output from each wind turbine allows the aggregated output of multiple wind turbines to be a 24 pulse approximation of a sine wave. Additional filtering and VAR control is embedded within the wind farm to take advantage of the wind farm's electrical impedence characteristics to further enhance power quality at the point of common coupling.

  6. Naval Station Newport Wind Resource Assessment. A Study Prepared...

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

    ... wind speeds, energy production for a generic 1.5 MW wind turbine, and capacity factor. ... resource at the selected sites at NAVSTA Newport is sufficient for a wind turbine project. ...

  7. Atmosphere to Electrons: Enabling the Wind Plant of Tomorrow

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

    ... measures wind speed and wind direction offshore at turbine hub-height and across the blade span. ... In simulations of existing wind farms, increases in energy capture of 3% have ...

  8. SWERA/Wind Resource Information | Open Energy Information

    Open Energy Info (EERE)

    wind resources are depicted as average wind speed (meters per second) or wind power density (watts per square meter) at a specified height above the ground (nominally 50 m)....

  9. Cherokee Nation Enterprises - Wind Development

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

    Businesses Tribal Energy Program 2008 November 18, 2008 HEROKEE C N E R G ATION NERGY by ENEWABLE ENERATION Wind Farm Project Location Wind Speeds Measured for 4 Years at Chilocco. . . Class III Commercial Wind! ROI in less than 6 years $672+ Million Net Income for 25 yrs. ONLY if we own 100% Precise Project Management *Vendor Reliability *Knowledgeable Personnel *Timetables and Schedule Mgmt. Risk Management Risk Management Risk Management Investment vs. Expenses (Revenue for 2007) GAMING WIND

  10. West Winds Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Winds Wind Farm Jump to: navigation, search Name West Winds Wind Farm Facility West Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  11. Analysis of the effects of integrating wind turbines into a conventional utility: a case study. Final report

    SciTech Connect (OSTI)

    Goldenblatt, M.K.; Wegley, H.L.; Miller, A.H.

    1982-08-01

    The impact on a utility incorporating wind turbine generation due to wind speed sampling frequency, wind turbine performance model, and wind speed forecasting accuracy is examined. The utility analyzed in the study was the Los Angeles Department of Water and Power and the wind turbine assumed was the MOD-2. The sensitivity of the economic value of wind turbine generation to wind speed sampling frequency and wind turbine modeling technique is examined as well as the impact of wind forecasting accuracy on utility operation and production costs. Wind speed data from San Gorgonio Pass, California during 1979 are used to estimate wind turbine performance using four different simulation methods. (LEW)

  12. Analysis of the effects of integrating wind turbines into a conventional utility: a case study. Revised final report

    SciTech Connect (OSTI)

    Goldenblatt, M.K.; Wegley, H.L.; Miller, A.H.

    1983-03-01

    The impact on a utility incorporating wind turbine generation due to wind speed sampling frequency, wind turbine performance model, and wind speed forecasting accuracy is examined. The utility analyzed in this study was the Los Angeles Department of Water and Power, and the wind turbine assumed was the MOD-2. The sensitivity of the economic value of wind turbine generation to wind speed sampling frequency and wind turbine modeling technique is examined as well as the impact of wind forecasting accuracy on utility operation and production costs. Wind speed data from San Gorgonio Pass, California during 1979 are used to estimate wind turbine performance using four different simulation methods. (LEW)

  13. United States Wind Energy Growth and Policy Framework: Preprint

    SciTech Connect (OSTI)

    Calvert, S. D.; Hock, S. M.

    2001-07-01

    Wind is the fastest growing source for electricity in the United States. During 2001, U.S. wind power plant installations are expected to increase by 1,850 megawatts (MW), resulting in a total installed capacity of about 4,400 MW. The market expansion is supported by a variety of Federal and state incentives in the form of production tax credits, renewable energy production incentives, renewable energy portfolio standards, and others. New mechanisms include green power offerings, green tags, and government power purchases. Deregulation of the electric power industry is continuing. In some cases this is allowing higher electricity rates that may increase the rate of wind plant development. Power shortages, natural gas price increases, and enforcement of clean air laws are increasingly important wind market drivers in some regions. Continuing research and technology development has reduced wind energy costs dramatically to less than $0.04/kWh for large projects at sites with ave rage wind speeds higher than 7.0 m/s, making wind the least-cost option in some power markets. The recently published National Energy Policy contains recommendations to increase wind energy development and improve the power transmission system.

  14. Featured Publications from the Bats and Wind Energy Cooperative |

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

    Department of Energy Featured Publications from the Bats and Wind Energy Cooperative Featured Publications from the Bats and Wind Energy Cooperative Since its formation in 2003, the Bats and Wind Energy Cooperative (BWEC) has been engaged in numerous research activities funded by DOE's National Renewable Energy Laboratory, including studies assessing the impact of altering the cut-in-speed of wind turbines (the minimum wind speed at which wind turbines begin producing power), and the use of

  15. Final Report on California Regional Wind Energy Forecasting Project:Application of NARAC Wind Prediction System

    SciTech Connect (OSTI)

    Chin, H S

    2005-07-26

    Wind power is the fastest growing renewable energy technology and electric power source (AWEA, 2004a). This renewable energy has demonstrated its readiness to become a more significant contributor to the electricity supply in the western U.S. and help ease the power shortage (AWEA, 2000). The practical exercise of this alternative energy supply also showed its function in stabilizing electricity prices and reducing the emissions of pollution and greenhouse gases from other natural gas-fired power plants. According to the U.S. Department of Energy (DOE), the world's winds could theoretically supply the equivalent of 5800 quadrillion BTUs of energy each year, which is 15 times current world energy demand (AWEA, 2004b). Archer and Jacobson (2005) also reported an estimation of the global wind energy potential with the magnitude near half of DOE's quote. Wind energy has been widely used in Europe; it currently supplies 20% and 6% of Denmark's and Germany's electric power, respectively, while less than 1% of U.S. electricity is generated from wind (AWEA, 2004a). The production of wind energy in California ({approx}1.2% of total power) is slightly higher than the national average (CEC & EPRI, 2003). With the recently enacted Renewable Portfolio Standards calling for 20% of renewables in California's power generation mix by 2010, the growth of wind energy would become an important resource on the electricity network. Based on recent wind energy research (Roulston et al., 2003), accurate weather forecasting has been recognized as an important factor to further improve the wind energy forecast for effective power management. To this end, UC-Davis (UCD) and LLNL proposed a joint effort through the use of UCD's wind tunnel facility and LLNL's real-time weather forecasting capability to develop an improved regional wind energy forecasting system. The current effort of UC-Davis is aimed at developing a database of wind turbine power curves as a function of wind speed and

  16. Distributed Wind Energy in Idaho

    SciTech Connect (OSTI)

    Gardner, John; Ferguson, James; Ahmed-Zaid, Said; Johnson, Kathryn; Haynes, Todd; Bennett, Keith

    2009-01-31

    Project Objective: This project is a research and development program aimed at furthering distributed wind technology. In particular, this project addresses some of the barriers to distributed wind energy utilization in Idaho. Background: At its core, the technological challenge inherent in Wind Energy is the transformation of a highly variable form of energy to one which is compatible with the commercial power grid or another useful application. A major economic barrier to the success of distributed wind technology is the relatively high capital investment (and related long payback periods) associated with wind turbines. This project will carry out fundamental research and technology development to address both the technological and economic barriers. • Active drive train control holds the potential to improve the overall efficiency of a turbine system by allowing variable speed turbine operation while ensuring a tight control of generator shaft speed, thus greatly simplifying power conditioning. • Recent blade aerodynamic advancements have been focused on large, utility-scale wind turbine generators (WTGs) as opposed to smaller WTGs designed for distributed generation. Because of Reynolds Number considerations, blade designs do not scale well. Blades which are aerodynamically optimized for distributed-scale WTGs can potentially reduce the cost of electricity by increasing shaft-torque in a given wind speed. • Grid-connected electric generators typically operate at a fixed speed. If a generator were able to economically operate at multiple speeds, it could potentially convert more of the wind’s energy to electricity, thus reducing the cost of electricity. This research directly supports the stated goal of the Wind and Hydropower Technologies Program for Distributed Wind Energy Technology: By 2007, reduce the cost of electricity from distributed wind systems to 10 to 15 cents/kWh in Class 3 wind resources, the same level

  17. Higher Power Energy LLC | Open Energy Information

    Open Energy Info (EERE)

    Higher Power Energy LLC Jump to: navigation, search Name: Higher Power Energy, LLC Place: Flower Mound, Texas Zip: 78028 Sector: Renewable Energy, Wind energy Product: Higher Power...

  18. Assessment of U.S. Manufacturing Capability for Next-Generation Wind Turbine Drivetrains

    SciTech Connect (OSTI)

    Cotrell, J.; Stelhy, T.

    2013-09-01

    Robust U.S. wind turbine manufacturing capabilities and supply chains are important for the United States to reduce the cost of electricity generated from wind turbines. These capabilities and supply chains are also critical to the invention and commercialization of new wind turbine technologies while providing high-quality jobs. The development of advanced drivetrain technologies for windturbine applications is advancing the state of the art for drivetrain design by producing higher capacity and operating reliability than conventional drivetrains. Advanced drivetrain technologies such as medium-speed and direct-drive generators, silicon-carbide (SiC) IGBT-based power electronics, and high torque density speed increasers require different manufacturing and supply chaincapabilities that present both risks and opportunities for U.S. wind turbine manufacturers and the wind industry as a whole. The primary objective of this project is to assess how advanced drivetrain technologies and trends will impact U.S. wind turbine manufacturing and its supply chains. The U.S. Department of Energy and other industry participants will use the information from this study toidentify domestic manufacturing gaps, barriers, and opportunities for developing U.S. wind turbine manufacturing capabilities and supply chains for next-generation drivetrain technologies. This report also includes recommendations for prioritizing technology areas for possible investments by public, private, or nonprofit entities that will reduce the cost of wind-generated electricity. Suchinvestments foster opportunities to invent and commercialize new wind turbine technologies, and provide high-quality jobs in the United States.

  19. Wind Integration

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

    Wind Generation - ScheduledActual Balancing Reserves - Deployed Near Real-time Wind Animation Wind Projects under Review Growth Forecast Fact Sheets Working together to address...

  20. Active control system for high speed windmills

    SciTech Connect (OSTI)

    Avery, D.E.

    1988-01-12

    A pump stroke is matched to the operating speed of a high speed windmill. The windmill drives a hydraulic pump for a control. Changes in speed of a wind driven shaft open supply and exhaust valves to opposite ends of a hydraulic actuator to lengthen and shorten an oscillating arm thereby lengthening and shortening the stroke of an output pump. Diminishing wind to a stall speed causes the valves to operate the hydraulic cylinder to shorten the oscillating arm to zero. A pressure accumulator in the hydraulic system provides the force necessary to supply the hydraulic fluid under pressure to drive the actuator into and out of the zero position in response to the windmill shaft speed approaching and exceeding windmill stall speed. 4 figs.

  1. Active control system for high speed windmills

    SciTech Connect (OSTI)

    Avery, Don E.

    1988-01-01

    A pump stroke is matched to the operating speed of a high speed windmill. The windmill drives a hydraulic pump for a control. Changes in speed of a wind driven shaft open supply and exhaust valves to opposite ends of a hydraulic actuator to lengthen and shorten an oscillating arm thereby lengthening and shortening the stroke of an output pump. Diminishing wind to a stall speed causes the valves to operate the hydraulic cylinder to shorten the oscillating arm to zero. A pressure accumulator in the hydraulic system provides the force necessary to supply the hydraulic fluid under pressure to drive the actuator into and out of the zero position in response to the windmill shaft speed approaching and exceeding windmill stall speed.

  2. Optimum propeller wind turbines

    SciTech Connect (OSTI)

    Sanderson, R.J.; Archer, R.D.

    1983-11-01

    The Prandtl-Betz-Theodorsen theory of heavily loaded airscrews has been adapted to the design of propeller windmills which are to be optimized for maximum power coefficient. It is shown that the simpler, light-loading, constant-area wake assumption can generate significantly different ''optimum'' performance and geometry, and that it is therefore not appropriate to the design of propeller wind turbines when operating in their normal range of high-tip-speed-to-wind-speed ratio. Design curves for optimum power coefficient are presented and an example of the design of a typical two-blade optimum rotor is given.

  3. Prairie Winds Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name Prairie Winds Wind Farm Facility Prairie Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  4. Simulation of winds as seen by a rotating vertical axis wind turbine blade

    SciTech Connect (OSTI)

    George, R.L.

    1984-02-01

    The objective of this report is to provide turbulent wind analyses relevant to the design and testing of Vertical Axis Wind Turbines (VAWT). A technique was developed for utilizing high-speed turbulence wind data from a line of seven anemometers at a single level to simulate the wind seen by a rotating VAWT blade. Twelve data cases, representing a range of wind speeds and stability classes, were selected from the large volume of data available from the Clayton, New Mexico, Vertical Plane Array (VPA) project. Simulations were run of the rotationally sampled wind speed relative to the earth, as well as the tangential and radial wind speeds, which are relative to the rotating wind turbine blade. Spectral analysis is used to compare and assess wind simulations from the different wind regimes, as well as from alternate wind measurement techniques. The variance in the wind speed at frequencies at or above the blade rotation rate is computed for all cases, and is used to quantitatively compare the VAWT simulations with Horizontal Axis Wind Turbine (HAWT) simulations. Qualitative comparisons are also made with direct wind measurements from a VAWT blade.

  5. Wind Resource Assessment and Characterization | Department of Energy

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

    Resource Assessment and Characterization Wind Resource Assessment and Characterization A crucial factor in the development, siting, and operation of a wind farm is the ability to assess and characterize available wind resources. The Wind Program supports efforts to accurately define, measure, and forecast the nation's land-based and offshore wind resources. More accurate prediction and measurement of wind speed and direction allow wind farms to supply clean, renewable power to businesses and

  6. WINDExchange: Wind for Schools Project

    Wind Powering America (EERE)

    Participant Roles & Responsibilities Affiliate Projects Pilot Project Results Project Funding School Project Locations Education & Training Programs Curricula & Teaching Materials Resources Wind for Schools Project The U.S. Department of Energy funds the Wind for Schools project, which helps develop a future wind energy workforce by engaging students at higher education institutions to join Wind Application Centers and serve as project consultants for small wind turbine

  7. Differences between nonprecipitating tropical and trade wind marine shallow cumuli

    SciTech Connect (OSTI)

    Ghate, Virendra P.; Miller, Mark A.; Zhu, Ping

    2015-11-13

    In this study, marine nonprecipitating cumulus topped boundary layers (CTBLs) observed in a tropical and in a trade wind region are contrasted based on their cloud macrophysical, dynamical, and radiative structures. Data from the Atmospheric Radiation Measurement (ARM) observational site previously operating at Manus Island, Papua New Guinea, and data collected during the deployment of ARM Mobile Facility at the island of Graciosa, in the Azores, were used in this study. The tropical marine CTBLs were deeper, had higher surface fluxes and boundary layer radiative cooling, but lower wind speeds compared to their trade wind counterparts. The radiative velocity scale was 50%-70% of the surface convective velocity scale at both locations, highlighting the prominent role played by radiation in maintaining turbulence in marine CTBLs. Despite greater thicknesses, the chord lengths of tropical cumuli were on average lower than those of trade wind cumuli, and as a result of lower cloud cover, the hourly averaged (cloudy and clear) liquid water paths of tropical cumuli were lower than the trade wind cumuli. At both locations ~70% of the cloudy profiles were updrafts, while the average amount of updrafts near cloud base stronger than 1 m s–1 was ~22% in tropical cumuli and ~12% in the trade wind cumuli. The mean in-cloud radar reflectivity within updrafts and mean updraft velocity was higher in tropical cumuli than the trade wind cumuli. Despite stronger vertical velocities and a higher number of strong updrafts, due to lower cloud fraction, the updraft mass flux was lower in the tropical cumuli compared to the trade wind cumuli. The observations suggest that the tropical and trade wind marine cumulus clouds differ significantly in their macrophysical and dynamical structures

  8. Differences between nonprecipitating tropical and trade wind marine shallow cumuli

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

    Ghate, Virendra P.; Miller, Mark A.; Zhu, Ping

    2015-11-13

    In this study, marine nonprecipitating cumulus topped boundary layers (CTBLs) observed in a tropical and in a trade wind region are contrasted based on their cloud macrophysical, dynamical, and radiative structures. Data from the Atmospheric Radiation Measurement (ARM) observational site previously operating at Manus Island, Papua New Guinea, and data collected during the deployment of ARM Mobile Facility at the island of Graciosa, in the Azores, were used in this study. The tropical marine CTBLs were deeper, had higher surface fluxes and boundary layer radiative cooling, but lower wind speeds compared to their trade wind counterparts. The radiative velocity scalemore » was 50%-70% of the surface convective velocity scale at both locations, highlighting the prominent role played by radiation in maintaining turbulence in marine CTBLs. Despite greater thicknesses, the chord lengths of tropical cumuli were on average lower than those of trade wind cumuli, and as a result of lower cloud cover, the hourly averaged (cloudy and clear) liquid water paths of tropical cumuli were lower than the trade wind cumuli. At both locations ~70% of the cloudy profiles were updrafts, while the average amount of updrafts near cloud base stronger than 1 m s–1 was ~22% in tropical cumuli and ~12% in the trade wind cumuli. The mean in-cloud radar reflectivity within updrafts and mean updraft velocity was higher in tropical cumuli than the trade wind cumuli. Despite stronger vertical velocities and a higher number of strong updrafts, due to lower cloud fraction, the updraft mass flux was lower in the tropical cumuli compared to the trade wind cumuli. The observations suggest that the tropical and trade wind marine cumulus clouds differ significantly in their macrophysical and dynamical structures« less

  9. Enabling Wind Power Nationwide

    SciTech Connect (OSTI)

    Jose, Zayas; Michael, Derby; Patrick, Gilman; Ananthan, Shreyas; Lantz, Eric; Cotrell, Jason; Beck, Fredic; Tusing, Richard

    2015-05-01

    Leveraging this experience, the U.S. Department of Energy’s (DOE’s) Wind and Water Power Technologies Office has evaluated the potential for wind power to generate electricity in all 50 states. This report analyzes and quantifies the geographic expansion that could be enabled by accessing higher above ground heights for wind turbines and considers the means by which this new potential could be responsibly developed.

  10. Doppler Lidar Wind Value-Added Product

    SciTech Connect (OSTI)

    Newsom, R. K.; Sivaraman, C.; Shippert, T. R.; Riihimaki, L. D.

    2015-07-01

    Wind speed and direction, together with pressure, temperature, and relative humidity, are the most fundamental atmospheric state parameters. Accurate measurement of these parameters is crucial for numerical weather prediction. Vertically resolved wind measurements in the atmospheric boundary layer are particularly important for modeling pollutant and aerosol transport. Raw data from a scanning coherent Doppler lidar system can be processed to generate accurate height-resolved measurements of wind speed and direction in the atmospheric boundary layer.

  11. Offshore Wind Potential Tables

    Wind Powering America (EERE)

    Offshore wind resource by state and wind speed interval within 50 nm of shore. Wind Speed at 90 m (m/s) 7.0 - 7.5 7.5 - 8.0 8.0 - 8.5 8.5 - 9.0 9.0 - 9.5 9.5 - 10.0 >10.0 Total >7.0 State Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) California 11,439 (57,195) 24,864 (124,318) 23,059 (115,296) 22,852 (114,258) 13,185 (65,924) 15,231 (76,153) 6,926 (34,629) 117,555 (587,773) Connecticut 530 (2,652) 702 (3,508) 40

  12. Sensitivity Analysis of Offshore Wind Cost of Energy (Poster)

    SciTech Connect (OSTI)

    Dykes, K.; Ning, A.; Graf, P.; Scott, G.; Damiami, R.; Hand, M.; Meadows, R.; Musial, W.; Moriarty, P.; Veers, P.

    2012-10-01

    No matter the source, offshore wind energy plant cost estimates are significantly higher than for land-based projects. For instance, a National Renewable Energy Laboratory (NREL) review on the 2010 cost of wind energy found baseline cost estimates for onshore wind energy systems to be 71 dollars per megawatt-hour ($/MWh), versus 225 $/MWh for offshore systems. There are many ways that innovation can be used to reduce the high costs of offshore wind energy. However, the use of such innovation impacts the cost of energy because of the highly coupled nature of the system. For example, the deployment of multimegawatt turbines can reduce the number of turbines, thereby reducing the operation and maintenance (O&M) costs associated with vessel acquisition and use. On the other hand, larger turbines may require more specialized vessels and infrastructure to perform the same operations, which could result in higher costs. To better understand the full impact of a design decision on offshore wind energy system performance and cost, a system analysis approach is needed. In 2011-2012, NREL began development of a wind energy systems engineering software tool to support offshore wind energy system analysis. The tool combines engineering and cost models to represent an entire offshore wind energy plant and to perform system cost sensitivity analysis and optimization. Initial results were collected by applying the tool to conduct a sensitivity analysis on a baseline offshore wind energy system using 5-MW and 6-MW NREL reference turbines. Results included information on rotor diameter, hub height, power rating, and maximum allowable tip speeds.

  13. Offshore Wind

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

    ... HomeStationary PowerEnergy Conversion EfficiencyWind EnergyOffshore Wind Offshore Wind Tara Camacho-Lopez 2016-0... March 2014, Barcelona, Spain, PO 225. Griffith, D.T., and ...

  14. wind energy

    National Nuclear Security Administration (NNSA)

    5%2A en Pantex to Become Wind Energy Research Center http:nnsa.energy.govfieldofficesnponpopressreleasespantex-become-wind-energy-research-center

  15. Wind News

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

    ... laboratory mission technologies and ... By admin| ... participating in the Wind Turbine Radar Interference ... Association AWEA WindPower 2015 event in Orlando, Florida. ...

  16. Wind Power Plant Prediction by Using Neural Networks: Preprint

    SciTech Connect (OSTI)

    Liu, Z.; Gao, W.; Wan, Y. H.; Muljadi, E.

    2012-08-01

    This paper introduces a method of short-term wind power prediction for a wind power plant by training neural networks based on historical data of wind speed and wind direction. The model proposed is shown to achieve a high accuracy with respect to the measured data.

  17. Articles about Wind Program Analysis | Department of Energy

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

    Cause the Majority of Wind Turbine Gearbox Failures In the past, the wind energy ... three major components: a single-stage gearbox, a medium-speed permanent-magnet ...

  18. Wind Spires as an Alternative Energy Source

    SciTech Connect (OSTI)

    Majid Rashidi, Ph.D., P.E.

    2012-10-30

    This report discloses the design and development of an innovative wind tower system having an axisymmetric wind deflecting structure with a plurality of symmetrically mounted rooftop size wind turbines near the axisymmetric structure. The purpose of the wind deflecting structure is to increase the ambient wind speed that in turn results in an overall increase in the power capacity of the wind turbines. Two working prototypes were constructed and installed in the summer of 2009 and 2012 respectively. The system installed in the Summer of 2009 has a cylindrical wind deflecting structure, while the tower installed in 2012 has a spiral-shape wind deflecting structure. Each tower has 4 turbines, each rated at 1.65 KW Name-Plate-Rating. Before fabricating the full-size prototypes, computational fluid dynamic (CFD) analyses and scaled-down table-top models were used to predict the performance of the full-scale models. The performance results obtained from the full-size prototypes validated the results obtained from the computational models and those of the scaled-down models. The second prototype (spiral configuration) showed at a wind speed of 11 miles per hour (4.9 m/s) the power output of the system could reach 1,288 watt, when a typical turbine installation, with no wind deflecting structure, could produce only 200 watt by the same turbines at the same wind speed. At a wind speed of 18 miles per hour (8 m/sec), the spiral prototype produces 6,143 watt, while the power generated by the same turbines would be 1,412 watt in the absence of a wind deflecting structure under the same wind speed. Four US patents were allowed, and are in print, as the results of this project (US 7,540,706, US 7,679,209, US 7,845,904, and US 8,002,516).

  19. Wind Resource Assessment Handbook: Fundamentals for Conducting a Successful Monitoring

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

    Renewables » Wind Program Wind Program Energy Department Reports Show Strong Growth of U.S. Wind Power Energy Department Reports Show Strong Growth of U.S. Wind Power Annual reports analyzing the wind energy industry show continued rapid growth in wind power installations in 2015, demonstrating market resilience and underscoring the vitality of the U.S. wind energy market on a global scale. Read more Supercomputing Model Provides Insights from Higher Wind and Solar Generation in the Eastern

  20. Final Report on the Creation of the Wind Integration National...

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

    ... was not considered, since DOE is investigating offshore floating platforms. ... speed for a cell with a single turbine to a 5% reduction in wind speed for a cell with 8 turbines ...

  1. Wind/Hybrid Electricity Applications

    SciTech Connect (OSTI)

    McDaniel, Lori

    2001-03-31

    Wind energy is widely recognized as the most efficient and cost effective form of new renewable energy available in the Midwest. New utility-scale wind farms (arrays of large turbines in high wind areas producing sufficient energy to serve thousands of homes) rival the cost of building new conventional forms of combustion energy plants, gas, diesel and coal power plants. Wind energy is not subject to the inflationary cost of fossil fuels. Wind energy can also be very attractive to residential and commercial electric customers in high wind areas who would like to be more self-sufficient for their energy needs. And wind energy is friendly to the environment at a time when there is increasing concern about pollution and climate change. However, wind energy is an intermittent source of power. Most wind turbines start producing small amounts of electricity at about 8-10 mph (4 meters per second) of wind speed. The turbine does not reach its rated output until the wind reaches about 26-28 mph (12 m/s). So what do you do for power when the output of the wind turbine is not sufficient to meet the demand for energy? This paper will discuss wind hybrid technology options that mix wind with other power sources and storage devices to help solve this problem. This will be done on a variety of scales on the impact of wind energy on the utility system as a whole, and on the commercial and small-scale residential applications. The average cost and cost-benefit of each application along with references to manufacturers will be given. Emerging technologies that promise to shape the future of renewable energy will be explored as well.

  2. How Does a Wind Turbine Work? | Department of Energy

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

    Does a Wind Turbine Work? How Does a Wind Turbine Work? How does a wind turbine work? Previous Next Wind turbines operate on a simple principle. The energy in the wind turns two or three propeller-like blades around a rotor. The rotor is connected to the main shaft, which spins a generator to create electricity. Click NEXT to learn more. Blades Rotor Low Speed Shaft Gear Box High Speed Shaft Generator Anemometer Controller Pitch System Brake Wind Vane Yaw Drive Yaw Motor Tower Nacelle

  3. How a Wind Turbine Works | Department of Energy

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

    a Wind Turbine Works How a Wind Turbine Works June 20, 2014 - 9:09am Addthis How does a wind turbine work? Previous Next Wind turbines operate on a simple principle. The energy in the wind turns two or three propeller-like blades around a rotor. The rotor is connected to the main shaft, which spins a generator to create electricity. Click NEXT to learn more. Blades Rotor Low Speed Shaft Gear Box High Speed Shaft Generator Anemometer Controller Pitch System Brake Wind Vane Yaw Drive Yaw Motor

  4. PNNL Reviews Wildlife-Interaction Monitoring for Offshore Wind...

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

    ... higher penetration of wind power utilizing expertise in ... resources, operating reserves, area control error, and control room use of forecasting to address wind and load ...

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

    SciTech Connect (OSTI)

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

    2013-08-16

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

  6. 20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology Summary Slides

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

    2: Wind Turbine Technology Summary Slides Anatomy of a 1.5-MW wind turbine Nacelle enclosing: * Low-speed shaft * Gearbox * Generator, 1.5 MW * Electrical controls * Blade pitch controls Rotor Hub Tower, 80 m Minivan Rotor blades: * Shown feathered * Length, 37-m Larger and taller turbines are needed to capture optimal wind resources Wind power is competitive with wholesale prices Source: Wiser and Bolinger, 2009 Note: Wholesale price range reflects flat block of power across 23 pricing

  7. NREL: Wind Research - New Wind Resource Maps Reach Higher Heights

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

    capacity map at a 140-meter hub height. Photo courtesy of WINDExchange August 11, 2015 The National Renewable Energy Laboratory and AWS Truepower LLC recently released maps...

  8. Systems Performance Analyses of Alaska Wind-Diesel Projects; Selawik, Alaska (Fact Sheet)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01

    This fact sheet summarizes a systems performance analysis of the wind-diesel project in Selawik, Alaska. Data provided for this project include community load data, wind turbine output, diesel plant output, thermal load data, average wind speed, average net capacity factor, optimal net capacity factor based on Alaska Energy Authority wind data, average net wind penetration, and estimated fuel savings.

  9. Systems Performance Analyses of Alaska Wind-Diesel Projects; Kotzebue, Alaska (Fact Sheet)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01

    This fact sheet summarizes a systems performance analysis of the wind-diesel project in Kotzebue, Alaska. Data provided for this project include wind turbine output, average wind speed, average net capacity factor, and optimal net capacity factor based on Alaska Energy Authority wind data, estimated fuel savings, and wind system availability.

  10. Wind Easements

    Broader source: Energy.gov [DOE]

    The statutes authorizing the creation of wind easements include several provisions to protect property owners. For example, a wind easement may not make the property owner liable for any property...

  11. Wind Farm

    Broader source: Energy.gov [DOE]

    The wind farm in Greensburg, Kansas, was completed in spring 2010, and consists of ten 1.25 megawatt (MW) wind turbines that supply enough electricity to power every house, business, and municipal...

  12. Cisco Wind Energy Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Cisco Wind Energy Wind Farm Jump to: navigation, search Name Cisco Wind Energy Wind Farm Facility Cisco Wind Energy Sector Wind energy Facility Type Commercial Scale Wind Facility...

  13. Wind Power

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

    Wind Power As the accompanying map of New Mexico shows, the best wind power generation potential near WIPP is along the Delaware Mountain ridge line of the southern Guadalupe Mountains, about 50-60 miles southwest. The numeric grid values indicate wind potential, with a range from 1 (poor) to 7 (superb). Just inside Texas in the southern Guadalupe Mountains, the Delaware Mountain Wind Power Facility in Culbertson County, Texas currently generates over 30 MW, and could be expanded to a 250 MW

  14. Statistical and Spectral Analysis of Wind Characteristics Relevant to Wind Energy Assessment Using Tower Measurements in Complex Terrain

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

    Belu, Radian; Koracin, Darko

    2013-01-01

    The main objective of the study was to investigate spatial and temporal characteristics of the wind speed and direction in complex terrain that are relevant to wind energy assessment and development, as well as to wind energy system operation, management, and grid integration. Wind data from five tall meteorological towers located in Western Nevada, USA, operated from August 2003 to March 2008, used in the analysis. The multiannual average wind speeds did not show significant increased trend with increasing elevation, while the turbulence intensity slowly decreased with an increase were the average wind speed. The wind speed and direction weremore » modeled using the Weibull and the von Mises distribution functions. The correlations show a strong coherence between the wind speed and direction with slowly decreasing amplitude of the multiday periodicity with increasing lag periods. The spectral analysis shows significant annual periodicity with similar characteristics at all locations. The relatively high correlations between the towers and small range of the computed turbulence intensity indicate that wind variability is dominated by the regional synoptic processes. Knowledge and information about daily, seasonal, and annual wind periodicities are very important for wind energy resource assessment, wind power plant operation, management, and grid integration.« less

  15. Rotationally sampled wind characteristics and correlations with MOD-OA wind turbine response

    SciTech Connect (OSTI)

    George, R.L.; Connell, J.R.

    1984-09-01

    This report presents results of a comprehensive wind and wind turbine measurement program: the Clayton, New Mexico, vertical plane array/MOD-OA project. In this experiment, the turbulent wind was measured for a large array of fixed anemometers located two blade diameters upwind of a 200-kW horizontal-axis wind turbine (HAWT). Simultaneously, key wind turbine response parameters were also measured. The first of two major objectives of this experiment was to determine the turbulent wind, rotationally sampled to emulate the motion of the wind turbine blade, for the range of different wind speeds and stability classes actually experienced by the wind turbine. The second major objective was to correlate this rotationally sampled wind with the wind turbine blade stress and power, in order to assess the usefulness of the wind measurements for wind turbine loads testing a prediction. Time series of rotationally sampled winds and wind turbine blade bending moments and power were converted to frequency spectra using Fourier transform techniques. These spectra were used as the basis for both qualitative and quantitative comparisons among the various cases. A quantitative comparison between the rotationally sampled wind input and blade bending response was made, using the Fourier spectra to estimate the blade transfer function. These transfer functions were then used to calculate an approximate damping coefficient for the MOD-OA fiberglass blade.

  16. Understanding Inertial and Frequency Response of Wind Power Plants: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Gevorgian, V.; Singh, M.; Santoso, S.

    2012-07-01

    The objective of this paper is to analyze and quantify the inertia and frequency responses of wind power plants with different wind turbine technologies (particularly those of fixed speed, variable slip with rotor-resistance controls, and variable speed with vector controls).

  17. PROBABILISTIC HAZARD ASSESSMENT FOR TORNADOES, STRAIGHT-LINE WIND, AND EXTREME PRECIPITATION AT THE SAVANNAH RIVER SITE

    SciTech Connect (OSTI)

    Werth, D.; , A.; Shine, G.

    2013-12-04

    Recent data sets for three meteorological phenomena with the potential to inflict damage on SRS facilities - tornadoes, straight winds, and heavy precipitation - are analyzed using appropriate statistical techniques to estimate occurrence probabilities for these events in the future. Summaries of the results for DOE-mandated return periods and comparisons to similar calculations performed in 1998 by Weber, et al., are given. Using tornado statistics for the states of Georgia and South Carolina, we calculated the probability per year of any location within a 2⁰ square area surrounding SRS being struck by a tornado (the ‘strike’ probability) and the probability that any point will experience winds above set thresholds. The strike probability was calculated to be 1.15E-3 (1 chance in 870) per year and wind speeds for DOE mandated return periods of 50,000 years, 125,000 years, and 1E+7 years (USDOE, 2012) were estimated to be 136 mph, 151 mph and 221 mph, respectively. In 1998 the strike probability for SRS was estimated to be 3.53 E-4 and the return period wind speeds were 148 mph every 50,000 years and 180 mph every 125,000 years. A 1E+7 year tornado wind speed was not calculated in 1998; however a 3E+6 year wind speed was 260 mph. The lower wind speeds resulting from this most recent analysis are largely due to new data since 1998, and to a lesser degree differences in the models used. By contrast, default tornado wind speeds taken from ANSI/ANS-2.3-2011 are somewhat higher: 161 mph for return periods of 50,000 years, 173 mph every 125,000 years, and 230 mph every 1E+7 years (ANS, 2011). Although the ANS model and the SRS models are very similar, the region defined in ANS 2.3 that encompasses the SRS also includes areas of the Great Plains and lower Midwest, regions with much higher occurrence frequencies of strong tornadoes. The SRS straight wind values associated with various return periods were calculated by fitting existing wind data to a Gumbel

  18. Mesoscale and Large-Eddy Simulations for Wind Energy

    SciTech Connect (OSTI)

    Marjanovic, N

    2011-02-22

    Operational wind power forecasting, turbine micrositing, and turbine design require high-resolution simulations of atmospheric flow over complex terrain. The use of both Reynolds-Averaged Navier Stokes (RANS) and large-eddy (LES) simulations is explored for wind energy applications using the Weather Research and Forecasting (WRF) model. To adequately resolve terrain and turbulence in the atmospheric boundary layer, grid nesting is used to refine the grid from mesoscale to finer scales. This paper examines the performance of the grid nesting configuration, turbulence closures, and resolution (up to as fine as 100 m horizontal spacing) for simulations of synoptically and locally driven wind ramping events at a West Coast North American wind farm. Interestingly, little improvement is found when using higher resolution simulations or better resolved turbulence closures in comparison to observation data available for this particular site. This is true for week-long simulations as well, where finer resolution runs show only small changes in the distribution of wind speeds or turbulence intensities. It appears that the relatively simple topography of this site is adequately resolved by all model grids (even as coarse as 2.7 km) so that all resolutions are able to model the physics at similar accuracy. The accuracy of the results is shown in this paper to be more dependent on the parameterization of the land-surface characteristics such as soil moisture rather than on grid resolution.

  19. Hurricane Katrina Wind Investigation Report

    SciTech Connect (OSTI)

    Desjarlais, A. O.

    2007-08-15

    This investigation of roof damage caused by Hurricane Katrina is a joint effort of the Roofing Industry Committee on Weather Issues, Inc. (RICOWI) and the Oak Ridge National Laboratory/U.S. Department of Energy (ORNL/DOE). The Wind Investigation Program (WIP) was initiated in 1996. Hurricane damage that met the criteria of a major windstorm event did not materialize until Hurricanes Charley and Ivan occurred in August 2004. Hurricane Katrina presented a third opportunity for a wind damage investigation in August 29, 2005. The major objectives of the WIP are as follows: (1) to investigate the field performance of roofing assemblies after major wind events; (2) to factually describe roofing assembly performance and modes of failure; and (3) to formally report results of the investigations and damage modes for substantial wind speeds The goal of the WIP is to perform unbiased, detailed investigations by credible personnel from the roofing industry, the insurance industry, and academia. Data from these investigations will, it is hoped, lead to overall improvement in roofing products, systems, roofing application, and durability and a reduction in losses, which may lead to lower overall costs to the public. This report documents the results of an extensive and well-planned investigative effort. The following program changes were implemented as a result of the lessons learned during the Hurricane Charley and Ivan investigations: (1) A logistics team was deployed to damage areas immediately following landfall; (2) Aerial surveillance--imperative to target wind damage areas--was conducted; (3) Investigation teams were in place within 8 days; (4) Teams collected more detailed data; and (5) Teams took improved photographs and completed more detailed photo logs. Participating associations reviewed the results and lessons learned from the previous investigations and many have taken the following actions: (1) Moved forward with recommendations for new installation procedures

  20. Network Wind Power Over the Pacific Northwest. Progress Report, October 1979-September 1980.

    SciTech Connect (OSTI)

    Baker, Robert W.; Hewson, E. Wendell

    1980-10-01

    The research in FY80 is composed of six primary tasks. These tasks include data collection and analysis, wind flow studies around an operational wind turbine generator (WTG), kite anemometer calibration, wind flow analysis and prediction, the Klickitat County small wind energy conversion system (SWECS) program, and network wind power analysis. The data collection and analysis task consists of four sections, three of which deal with wind flow site surveys and the fourth with collecting and analyzing wind data from existing data stations. This report also includes an appendix which contains mean monthly wind speed data summaries, wind spectrum summaries, time series analysis plots, and high wind summaries.

  1. High speed transient sampler

    DOE Patents [OSTI]

    McEwan, Thomas E.

    1995-01-01

    A high speed sampler comprises a meandered sample transmission line for transmitting an input signal, a straight strobe transmission line for transmitting a strobe signal, and a plurality of sampling gates along the transmission lines. The sampling gates comprise a four terminal diode bridge having a first strobe resistor connected from a first terminal of the bridge to the positive strobe line, a second strobe resistor coupled from the third terminal of the bridge to the negative strobe line, a tap connected to the second terminal of the bridge and to the sample transmission line, and a sample holding capacitor connected to the fourth terminal of the bridge. The resistance of the first and second strobe resistors is much higher than the signal transmission line impedance in the preferred system. This results in a sampling gate which applies a very small load on the sample transmission line and on the strobe generator. The sample holding capacitor is implemented using a smaller capacitor and a larger capacitor isolated from the smaller capacitor by resistance. The high speed sampler of the present invention is also characterized by other optimizations, including transmission line tap compensation, stepped impedance strobe line, a multi-layer physical layout, and unique strobe generator design. A plurality of banks of such samplers are controlled for concatenated or interleaved sample intervals to achieve long sample lengths or short sample spacing.

  2. High speed transient sampler

    DOE Patents [OSTI]

    McEwan, T.E.

    1995-11-28

    A high speed sampler comprises a meandered sample transmission line for transmitting an input signal, a straight strobe transmission line for transmitting a strobe signal, and a plurality of sampling gates along the transmission lines. The sampling gates comprise a four terminal diode bridge having a first strobe resistor connected from a first terminal of the bridge to the positive strobe line, a second strobe resistor coupled from the third terminal of the bridge to the negative strobe line, a tap connected to the second terminal of the bridge and to the sample transmission line, and a sample holding capacitor connected to the fourth terminal of the bridge. The resistance of the first and second strobe resistors is much higher than the signal transmission line impedance in the preferred system. This results in a sampling gate which applies a very small load on the sample transmission line and on the strobe generator. The sample holding capacitor is implemented using a smaller capacitor and a larger capacitor isolated from the smaller capacitor by resistance. The high speed sampler of the present invention is also characterized by other optimizations, including transmission line tap compensation, stepped impedance strobe line, a multi-layer physical layout, and unique strobe generator design. A plurality of banks of such samplers are controlled for concatenated or interleaved sample intervals to achieve long sample lengths or short sample spacing. 17 figs.

  3. Guide to Using the WIND Toolkit Validation Code

    SciTech Connect (OSTI)

    Lieberman-Cribbin, W.; Draxl, C.; Clifton, A.

    2014-12-01

    In response to the U.S. Department of Energy's goal of using 20% wind energy by 2030, the Wind Integration National Dataset (WIND) Toolkit was created to provide information on wind speed, wind direction, temperature, surface air pressure, and air density on more than 126,000 locations across the United States from 2007 to 2013. The numerical weather prediction model output, gridded at 2-km and at a 5-minute resolution, was further converted to detail the wind power production time series of existing and potential wind facility sites. For users of the dataset it is important that the information presented in the WIND Toolkit is accurate and that errors are known, as then corrective steps can be taken. Therefore, we provide validation code written in R that will be made public to provide users with tools to validate data of their own locations. Validation is based on statistical analyses of wind speed, using error metrics such as bias, root-mean-square error, centered root-mean-square error, mean absolute error, and percent error. Plots of diurnal cycles, annual cycles, wind roses, histograms of wind speed, and quantile-quantile plots are created to visualize how well observational data compares to model data. Ideally, validation will confirm beneficial locations to utilize wind energy and encourage regional wind integration studies using the WIND Toolkit.

  4. Effects of Changing Atmospheric Conditions on Wind Turbine Performance (Poster)

    SciTech Connect (OSTI)

    Clifton, A.

    2012-12-01

    Multi-megawatt, utility-scale wind turbines operate in turbulent and dynamic winds that impact turbine performance in ways that are gradually becoming better understood. This poster presents a study made using a turbulent flow field simulator (TurbSim) and a Turbine aeroelastic simulator (FAST) of the response of a generic 1.5 MW wind turbine to changing inflow. The turbine power output is found to be most sensitive to wind speed and turbulence intensity, but the relationship depends on the wind speed with respect to the turbine's rated wind speed. Shear is found to be poorly correlated to power. A machine learning method called 'regression trees' is used to create a simple model of turbine performance that could be used as part of the wind resource assessment process. This study has used simple flow fields and should be extended to more complex flows, and validated with field observations.

  5. Wind Workshop

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

    Department of Energy Wind Turbine Manufacturing Transforms with Three-Dimensional Printing Wind Turbine Manufacturing Transforms with Three-Dimensional Printing May 19, 2016 - 12:57pm Addthis From medical devices to airplane components, three-dimensional (3-D) printing (also called additive manufacturing) is transforming the manufacturing industry. Now, research that supports the Energy Department's Atmosphere to Electrons (A2e) initiative is applying 3-D-printing processes to create wind

  6. Offshore Wind Research (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01

    This 2-page fact sheet describes NREL's offshore wind research and development efforts and capabilities. The National Renewable Energy Laboratory is internationally recognized for offshore wind energy research and development (R&D). Its experience and capabilities cover a wide spectrum of wind energy disciplines. NREL's offshore wind R&D efforts focus on critical areas that address the long-term needs of the offshore wind energy industry and the Department of Energy (DOE). R&D efforts include: (1) Developing offshore design tools and methods; (2) Collaborating with international partners; (3) Testing offshore systems and developing standards; (4) Conducting economic analyses; (5) Characterizing offshore wind resources; and (6) Identifying and mitigating offshore wind grid integration challenges and barriers. NREL has developed and maintains a robust, open-source, modular computer-aided engineering (CAE) tool, known as FAST. FAST's state-of-the-art capabilities provide full dynamic system simulation for a range of offshore wind systems. It models the coupled aerodynamic, hydrodynamic, control system, and structural response of offshore wind systems to support the development of innovative wind technologies that are reliable and cost effective. FAST also provides dynamic models of wind turbines on offshore fixed-bottom systems for shallow and transitional depths and floating-platform systems in deep water, thus enabling design innovation and risk reduction and facilitating higher performance designs that will meet DOE's cost of energy, reliability, and deployment objectives.

  7. Wind Energy

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

    Stationary Power/Energy Conversion Efficiency/Wind Energy Wind Energy Tara Camacho-Lopez 2016-08-30T20:56:10+00:00 Increasing the viability of wind energy technology by applying research to improve wind turbine performance and reliability http://windworkshops.sandia.gov/ Rotor Innovation Advancing rotor technology such that they capture more energy, more reliably, with relatively lower system loads-all at a lower end cost. SWiFT Facility & Testing Improving the performance and reducing the

  8. Wind News

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

    Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & ...

  9. Wind Power Forecasting Data

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

    Operations Call 2012 Retrospective Reports 2012 Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email...

  10. NREL: Wind Research - Wind Career Map Shows Wind Industry Career...

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

    Wind Career Map Shows Wind Industry Career Opportunities, Paths A screenshot of the wind career map showing the various points on a chart that show different careers in the wind...

  11. Higher Education

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

    Education Higher Education Higher Education Explore the multiple dimensions of a career at LANL: work with brilliant minds in an inclusive environment rich in intellectual...

  12. Field studies of the potential for wind transport of plutonium- contaminated soils at sites in Areas 6 and 11, Nevada Test Site

    SciTech Connect (OSTI)

    Lancaster, N.; Bamford, R.; Metzger, S.

    1995-07-01

    This report describes and documents a series of field experiments carried out in Areas 6 and 11 of the Nevada Test Site in June and July 1994 to determine parameters of boundary layer winds, surface characteristics, and vegetation cover that can be used to predict dust emissions from the affected sites. Aerodynamic roughness of natural sites is determined largely by the lateral cover of the larger and more permanent roughness elements (shrubs). These provide a complete protection of the surface from wind erosion. Studies using a field-portable wind tunnel demonstrated that natural surfaces in the investigated areas of the Nevada Test Site are stable except at very high wind speeds (probably higher than normally occur, except perhaps in dust devils). However, disturbance of silty-clay surfaces by excavation devices and vehicles reduces the entrainment threshold by approximately 50% and makes these areas potentially very susceptible to wind erosion and transport of sediments.

  13. 2014 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Wiser, R.; Bolinger, M.

    2015-08-01

    According to the 2014 Wind Technologies Market Report, total installed wind power capacity in the United States grew at a rate of eight percent in 2014, bringing the United States total installed capacity to nearly 66 gigawatts (GW), which ranks second in the world and meets 4.9 percent of U.S. end-use electricity demand in an average year. In total, 4,854 MW of new wind energy capacity were installed in the United States in 2014. The 2014 Wind Technologies Market Report also finds that wind energy prices are at an all-time low and are competitive with wholesale power prices and traditional power sources across many areas of the United States. Additionally, a new trend identified by the 2014 Wind Technologies Market Report shows utility-scale turbines with larger rotors designed for lower wind speeds have been increasingly deployed across the country in 2014. The findings also suggest that the success of the U.S. wind industry has had a ripple effect on the American economy, supporting 73,000 jobs related to development, siting, manufacturing, transportation, and other industries.

  14. Wind Power Partners '94 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    4 Wind Farm Jump to: navigation, search Name Wind Power Partners '94 Wind Farm Facility Wind Power Partners '94 Sector Wind energy Facility Type Commercial Scale Wind Facility...

  15. Wethersfield Wind Power Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wethersfield Wind Power Wind Farm Jump to: navigation, search Name Wethersfield Wind Power Wind Farm Facility Wethersfield Wind Power Sector Wind energy Facility Type Commercial...

  16. Stetson Wind Expansion Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Stetson Wind Expansion Wind Farm Jump to: navigation, search Name Stetson Wind Expansion Wind Farm Facility Stetson Wind Expansion Sector Wind energy Facility Type Commercial Scale...

  17. State Fair Wind Energy Education Center Wind Farm | Open Energy...

    Open Energy Info (EERE)

    Fair Wind Energy Education Center Wind Farm Jump to: navigation, search Name State Fair Wind Energy Education Center Wind Farm Facility Wind Energy Education Center Sector Wind...

  18. Portsmouth Abbey School Wind Turbine Wind Farm | Open Energy...

    Open Energy Info (EERE)

    Abbey School Wind Turbine Wind Farm Jump to: navigation, search Name Portsmouth Abbey School Wind Turbine Wind Farm Facility Portsmouth Abbey School Wind Turbine Sector Wind energy...

  19. Harbec Plastic Wind Turbine Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Harbec Plastic Wind Turbine Wind Farm Jump to: navigation, search Name Harbec Plastic Wind Turbine Wind Farm Facility Harbec Plastic Wind Turbine Sector Wind energy Facility Type...

  20. NREL: Wind Research - Offshore Wind Research

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

    NREL's Offshore Wind Testing Capabilities 35 years of wind turbine testing experience ... Testing Applying 35 years of wind turbine testing expertise, NREL has developed ...

  1. NREL: Wind Research - Small Wind Turbine Development

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

    Small Wind Turbine Development A photo of Southwest Windpower's Skystream wind turbine in front of a home. PIX14936 Southwest Windpower's Skystream wind turbine. A photo of the ...

  2. Trailing edge devices to improve performance and increase lifetime of wind-electric water pumping systems

    SciTech Connect (OSTI)

    Vick, B.D.; Clark, R.N.

    1996-12-31

    Trailing edge flaps were applied to the blades of a 10 kW wind turbine used for water pumping to try to improve the performance and decrease the structural fatigue on the wind turbine. Most small wind turbines (10 kW and below) use furling (rotor turns out of wind similar to a mechanical windmill) to protect the wind turbine from overspeed during high winds. Some small wind turbines, however, do not furl soon enough to keep the wind turbine from being off line part of the time in moderately high wind speeds (10 - 16 m/s). As a result, the load is disconnected and no water is pumped at moderately high wind speeds. When the turbine is offline, the frequency increases rapidly often causing excessive vibration of the wind turbine and tower components. The furling wind speed could possibly be decreased by increasing the offset between the tower centerline and the rotor centerline, but would be a major and potentially expensive retrofit. Trailing edge flaps (TEF) were used as a quick inexpensive method to try to reduce the furling wind speed and increase the on time by reducing the rotor RPM. One TEF configuration improved the water pumping performance at moderately high wind speeds, but degraded the pumping performance at low wind speeds which resulted in little change in daily water volume. The other TEF configuration differed very little from the no flap configuration. Both TEF configurations however, reduced the rotor RPM in high wind conditions. The TEF, did not reduce the rotor RPM by lowering the furling wind speed as hoped, but apparently did so by increasing the drag which also reduced the volume of water pumped at the lower wind speeds. 6 refs., 9 figs.

  3. Wind Turbine Generator System Power Performance Test Report for the ARE442 Wind Turbine

    SciTech Connect (OSTI)

    van Dam, J.; Jager, D.

    2010-02-01

    This report summarizes the results of a power performance test that NREL conducted on the ARE 442 wind turbine. This test was conducted in accordance with the International Electrotechnical Commission's (IEC) standard, Wind Turbine Generator Systems Part 12: Power Performance Measurements of Electricity Producing Wind Turbines, IEC 61400-12-1 Ed.1.0, 2005-12. However, because the ARE 442 is a small turbine as defined by IEC, NREL also followed Annex H that applies to small wind turbines. In these summary results, wind speed is normalized to sea-level air density.

  4. Performance of a stand-alone wind-electric ice maker for remote villages

    SciTech Connect (OSTI)

    Davis, H.C.; Brandemuehl, M.J.; Bergey, M.L.S.

    1995-01-01

    Two ice makers in the 1.1 metric tons per 24 hours (1.2 tons per day) size range were tested to determine their performance when directly coupled to a variable-frequency wind turbine generator. Initial tests were conducted using a dynamometer to simulate to wind to evaluate whether previously determined potential problems were significant and to define basic performance parameters. Field testing in Norman, Oklahoma, was completed to determine the performance of one of the ice makers under real wind conditions. As expected, the ice makers produced more ice at a higher speed than rated, and less ice at a lower speed. Due to the large start-up torque requirement of reciprocating compressors, the ice making system experienced a large start-up current and corresponding voltage drop which required a larger wind turbine that expected to provide the necessary current and voltage. Performance curves for ice production and power consumption are presented. A spreadsheet model was constructed to predict ice production at a user-defined site given the wind conditions for that location. Future work should include long-term performance tests and research on reducing the large start-up currents the system experiences when first coming on line.

  5. Method and apparatus for reducing rotor blade deflections, loads, and/or peak rotational speed

    DOE Patents [OSTI]

    Moroz, Emilian Mieczyslaw; Pierce, Kirk Gee

    2006-10-17

    A method for reducing at least one of loads, deflections of rotor blades, or peak rotational speed of a wind turbine includes storing recent historical pitch related data, wind related data, or both. The stored recent historical data is analyzed to determine at least one of whether rapid pitching is occurring or whether wind speed decreases are occurring. A minimum pitch, a pitch rate limit, or both are imposed on pitch angle controls of the rotor blades conditioned upon results of the analysis.

  6. Vehicle speed control device

    SciTech Connect (OSTI)

    Thornton-Trump, W.E.

    1987-03-10

    An apparatus is described for automatically limiting the speed of a vehicle powered by an internal combustion engine having a spark ignition system with an ignition coil, comprising: sensor means for generating a speed signal directly representative of the speed of the vehicle comprising a series of speed signal pulses having a pulse repetition frequency proportional to the speed of the vehicle; control means for converting speed signal pulses into a DC voltage proportional to the vehicle speed; means for comparing the DC voltage to a predetermined DC voltage having substantially zero AC components representative of a predetermined maximum speed and for generating a difference signal in response thereto; and means for generating a pulse-width modulated control signal responsive to the difference signal; power means responsive to the control signal for intermittently interrupting the ignition system.

  7. Danielson Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Danielson Wind Facility Danielson Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer Juhl Wind...

  8. Kawailoa Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Kawailoa Wind Facility Kawailoa Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  9. Palouse Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Palouse Wind Facility Palouse Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  10. Harbor Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Harbor Wind Facility Harbor Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Harbor Wind LLC...

  11. Kahuku Wind | Open Energy Information

    Open Energy Info (EERE)

    Kahuku Wind Jump to: navigation, search Name Kahuku Wind Facility Kahuku Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  12. Wiota Wind | Open Energy Information

    Open Energy Info (EERE)

    Wiota Wind Jump to: navigation, search Name Wiota Wind Facility Wiota Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Wiota Wind Energy LLC...

  13. Bravo Wind | Open Energy Information

    Open Energy Info (EERE)

    Bravo Wind Jump to: navigation, search Name Bravo Wind Facility Bravo Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status Proposed Developer Bravo Wind LLC...

  14. Auwahi Wind | Open Energy Information

    Open Energy Info (EERE)

    Auwahi Wind Jump to: navigation, search Name Auwahi Wind Facility Auwahi Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner BP Wind Energy...

  15. Traer Wind | Open Energy Information

    Open Energy Info (EERE)

    Traer Wind Jump to: navigation, search Name Traer Wind Facility Traer Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Norsemen Wind Energy LLC...

  16. Sheffield Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Sheffield Wind Facility Sheffield Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  17. Rollins Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Rollins Wind Facility Rollins Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  18. Sandia Wind Turbine Loads Database

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

    The Sandia Wind Turbine Loads Database is divided into six files, each corresponding to approximately 16 years of simulation. The files are text files with data in columnar format. The 424MB zipped file containing six data files can be downloaded by the public. The files simulate 10-minute maximum loads for the NREL 5MW wind turbine. The details of the loads simulations can be found in the paper: “Decades of Wind Turbine Loads Simulations”, M. Barone, J. Paquette, B. Resor, and L. Manuel, AIAA2012-1288 (3.69MB PDF). Note that the site-average wind speed is 10 m/s (class I-B), not the 8.5 m/s reported in the paper.

  19. Sandia Wind Turbine Loads Database

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

    The Sandia Wind Turbine Loads Database is divided into six files, each corresponding to approximately 16 years of simulation. The files are text files with data in columnar format. The 424MB zipped file containing six data files can be downloaded by the public. The files simulate 10-minute maximum loads for the NREL 5MW wind turbine. The details of the loads simulations can be found in the paper: Decades of Wind Turbine Loads Simulations, M. Barone, J. Paquette, B. Resor, and L. Manuel, AIAA2012-1288 (3.69MB PDF). Note that the site-average wind speed is 10 m/s (class I-B), not the 8.5 m/s reported in the paper.

  20. High Resolution Atmospheric Modeling for Wind Energy Applications

    SciTech Connect (OSTI)

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

    2010-03-18

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

  1. Wyoming Wind Power Project (generation/wind)

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

    Wind Power > Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Wyoming Wind Power Project (Foote Creek Rim I and II) Thumbnail image of wind...

  2. Variability of interconnected wind plants: correlation length and its dependence on variability time scale

    SciTech Connect (OSTI)

    St. Martin, Clara M.; Lundquist, Julie K.; Handschy, Mark A.

    2015-04-02

    The variability in wind-generated electricity complicates the integration of this electricity into the electrical grid. This challenge steepens as the percentage of renewably-generated electricity on the grid grows, but variability can be reduced by exploiting geographic diversity: correlations between wind farms decrease as the separation between wind farms increases. However, how far is far enough to reduce variability? Grid management requires balancing production on various timescales, and so consideration of correlations reflective of those timescales can guide the appropriate spatial scales of geographic diversity grid integration. To answer 'how far is far enough,' we investigate the universal behavior of geographic diversity by exploring wind-speed correlations using three extensive datasets spanning continents, durations and time resolution. First, one year of five-minute wind power generation data from 29 wind farms span 1270 km across Southeastern Australia (Australian Energy Market Operator). Second, 45 years of hourly 10 m wind-speeds from 117 stations span 5000 km across Canada (National Climate Data Archive of Environment Canada). Finally, four years of five-minute wind-speeds from 14 meteorological towers span 350 km of the Northwestern US (Bonneville Power Administration). After removing diurnal cycles and seasonal trends from all datasets, we investigate dependence of correlation length on time scale by digitally high-pass filtering the data on 0.25–2000 h timescales and calculating correlations between sites for each high-pass filter cut-off. Correlations fall to zero with increasing station separation distance, but the characteristic correlation length varies with the high-pass filter applied: the higher the cut-off frequency, the smaller the station separation required to achieve de-correlation. Remarkable similarities between these three datasets reveal behavior that, if universal, could be particularly useful for grid management. For high

  3. Variability of interconnected wind plants: correlation length and its dependence on variability time scale

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

    St. Martin, Clara M.; Lundquist, Julie K.; Handschy, Mark A.

    2015-04-02

    The variability in wind-generated electricity complicates the integration of this electricity into the electrical grid. This challenge steepens as the percentage of renewably-generated electricity on the grid grows, but variability can be reduced by exploiting geographic diversity: correlations between wind farms decrease as the separation between wind farms increases. However, how far is far enough to reduce variability? Grid management requires balancing production on various timescales, and so consideration of correlations reflective of those timescales can guide the appropriate spatial scales of geographic diversity grid integration. To answer 'how far is far enough,' we investigate the universal behavior of geographic diversity by exploring wind-speed correlations using three extensive datasets spanning continents, durations and time resolution. First, one year of five-minute wind power generation data from 29 wind farms span 1270 km across Southeastern Australia (Australian Energy Market Operator). Second, 45 years of hourly 10 m wind-speeds from 117 stations span 5000 km across Canada (National Climate Data Archive of Environment Canada). Finally, four years of five-minute wind-speeds from 14 meteorological towers span 350 km of the Northwestern US (Bonneville Power Administration). After removing diurnal cycles and seasonal trends from all datasets, we investigate dependence of correlation length on time scale by digitally high-pass filtering the data on 0.25–2000 h timescales and calculating correlations between sites for each high-pass filter cut-off. Correlations fall to zero with increasing station separation distance, but the characteristic correlation length varies with the high-pass filter applied: the higher the cut-off frequency, the smaller the station separation required to achieve de-correlation. Remarkable similarities between these three datasets reveal behavior that, if universal, could be particularly useful for grid management. For high

  4. NREL Readies New Wind Turbine Drivetrain for Commercialization | Department

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

    of Energy Readies New Wind Turbine Drivetrain for Commercialization NREL Readies New Wind Turbine Drivetrain for Commercialization May 18, 2015 - 3:52pm Addthis Illustration of a wind turbine drivetrain with a transparent case that shows the internal gears. In February, engineers at the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) assembled the innovative, medium-speed, medium-voltage wind turbine drivetrain that was the result of a study funded by DOE's

  5. South Carolina Opens Nation's Largest Wind Drivetrain Testing Facility |

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

    Department of Energy South Carolina Opens Nation's Largest Wind Drivetrain Testing Facility South Carolina Opens Nation's Largest Wind Drivetrain Testing Facility November 27, 2013 - 12:00am Addthis The Energy Department and Clemson University officials on November 21 dedicated the nation's largest wind energy testing facility in North Charleston, South Carolina. The facility will help test and validate new turbines, particularly for offshore wind- €helping to speed deployment of next

  6. 2011 DOE Funded Offshore Wind Project Updates | Department of Energy

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

    2011 DOE Funded Offshore Wind Project Updates 2011 DOE Funded Offshore Wind Project Updates September 12, 2014 - 10:52am Addthis For the past few years, much of the U.S. Department of Energy's (DOE's) Wind Program research and development efforts have been focused on accelerating the development and deployment of offshore wind energy technology. In 2011, DOE awarded $43 million to 41 projects across 20 states to speed technical innovations, lower costs, and shorten the timeline for deploying

  7. LLNL Predicts Wind Power with Greater Accuracy | Department of Energy

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

    LLNL Predicts Wind Power with Greater Accuracy LLNL Predicts Wind Power with Greater Accuracy May 18, 2015 - 5:05pm Addthis A multicolored scatter plot that curves from left to right, bottom to top to show the wind power capacity factor and wind speed meters per second. The colors relate atmospheric stability conditions to reported power-output observations with black, dark blue, and lighter blue representing stable conditions; light blue, green and light green representing neutral conditions;

  8. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

    The Offshore Wind Power USA conference provides the latest offshore wind market updates and forecasts.

  9. Definition of a 5-MW Reference Wind Turbine for Offshore System Development

    SciTech Connect (OSTI)

    Jonkman, J.; Butterfield, S.; Musial, W.; Scott, G.

    2009-02-01

    This report describes a three-bladed, upwind, variable-speed, variable blade-pitch-to-feather-controlled multimegawatt wind turbine model developed by NREL to support concept studies aimed at assessing offshore wind technology.

  10. Wind Energy

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

    Wind Energy The DTU SpinnerLidar installed in the nacelle of the SWiFT facility A1 turbine Permalink Gallery First Wake Data Captured During Wake Steering Experiment at the SWiFT Facility News, Renewable Energy, SWIFT, Wind Energy, Wind News First Wake Data Captured During Wake Steering Experiment at the SWiFT Facility Researchers at Sandia National Laboratories and the National Renewable Energy Laboratory (NREL) have met a major project milestone as part of the Department of Energy Atmosphere

  11. THE TURBULENT CASCADE AND PROTON HEATING IN THE SOLAR WIND DURING SOLAR MINIMUM

    SciTech Connect (OSTI)

    Coburn, Jesse T.; Smith, Charles W.; Vasquez, Bernard J.; Stawarz, Joshua E.; Forman, Miriam A. E-mail: Charles.Smith@unh.edu E-mail: Joshua.Stawarz@Colorado.edu

    2012-08-01

    The recently protracted solar minimum provided years of interplanetary data that were largely absent in any association with observed large-scale transient behavior on the Sun. With large-scale shear at 1 AU generally isolated to corotating interaction regions, it is reasonable to ask whether the solar wind is significantly turbulent at this time. We perform a series of third-moment analyses using data from the Advanced Composition Explorer. We show that the solar wind at 1 AU is just as turbulent as at any other time in the solar cycle. Specifically, the turbulent cascade of energy scales in the same manner proportional to the product of wind speed and temperature. Energy cascade rates during solar minimum average a factor of 2-4 higher than during solar maximum, but we contend that this is likely the result of having a different admixture of high-latitude sources.

  12. Wind to Hydrogen in California: Case Study

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

    The U.S. Department of Energy's (DOE's) 20% Wind Energy by 2030 report recommends expanding educa- tion to ensure a trained workforce to meet the projected growth of the wind industry and deployment. Although a few U.S. higher education institu- tions offer wind technology education programs, most are found in community and technical colleges, resulting in a shortage of programs preparing highly skilled graduates for wind industry careers. Further, the United States lags behind Europe (which has

  13. Wind energy resource atlas. Volume 7. The south central region

    SciTech Connect (OSTI)

    Edwards, R.L.; Graves, L.F.; Sprankle, A.C.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-03-01

    This atlas of the south central region combines seven collections of wind resource data: one for the region, and one for each of the six states (Arkansas, Kansas, Louisiana, Missouri, Oklahoma, and Texas). At the state level, features of the climate, topography, and wind resource are discussed in greater detail than that provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

  14. Wind energy resource atlas. Volume 2. The North Central Region

    SciTech Connect (OSTI)

    Freeman, D.L.; Hadley, D.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-02-01

    The North Central atlas assimilates six collections of wind resource data: one for the region and one for each of the five states that compose the North Central region (Iowa, Minnesota, Nebraska, North Dakota, and South Dakota). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and that data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and international wind speed and power, and hourly average wind speed for each season. Other graphs present speed direction and duration frequencies of the wind at these locations.

  15. WINDExchange: Selling Wind Power

    Wind Powering America (EERE)

    Market Sectors Printable Version Bookmark and Share Utility-Scale Wind Distributed Wind Motivations for Buying Wind Power Buying Wind Power Selling Wind Power Selling Wind Power Owners of wind turbines interconnected directly to the transmission or distribution grid, or that produce more power than the host consumes, can sell wind power as well as other generation attributes. Wind-Generated Electricity Electricity generated by wind turbines can be used to cover on-site energy needs

  16. Feasibility of utilizing wind energy in Thailand

    SciTech Connect (OSTI)

    Jamkrajang, M.

    1984-01-01

    The purpose of this study was to ascertain the feasibility of utilizing wind energy to meet part of the energy demands related to pumping water and to generating electricity for the rural households in Thailand. The data for this study were divided into three different areas: (1) wind speed data, (2) the wind machine performance data, and (3) the rural energy demand data. The wind machine were divided into two categories of water-pumping windmills and electricity-generating wind machines. Three types of water pumping windmills and one type of electricity-generating wind machine were matched with the wind condition in Thailand. They were the multi-blade rotor, the sailwing rotor model (WE 002), the slow-speed sailwing rotor, and the Aerowatt model (1100 FP5G) respectively. It was concluded that, in Thailand: (1) the multiblade rotor and the sail-wing rotor (WE 002) windmill is suitable for pumping water for domestic use at 43 specified locations; (2) the slow-speed sailwing rotor windmill is suitable for pumping water for small irrigation at 32 specified locations; and (3) the Aerowatt model (1100 GP5G) is suitable for generating electricity for household use at 29 specified locations.

  17. Analysis of a teetered, variable-speed rotor: final report

    SciTech Connect (OSTI)

    Weber, T.L.; Wilson, R.E.; Walker, S.N. . Dept. of Mechanical Engineering)

    1991-06-01

    A computer model of a horizontal axis wind turbine (HOOT) with four structural degrees of freedom has been derived and verified. The four degrees of freedom include flapwise motion of the blades, teeter motion, and variable rotor speed. Options for the variable rotor speed include synchronous, induction, and constant-tip speed generator models with either start, stop, or normal operations. Verification is made by comparison with analytical solutions and mean and cyclic ESI-80 data. The Veers full-field turbulence model is used as a wind input for a synchronous and induction generator test case during normal operation. As a result of the comparison, it is concluded that the computer model can be used to predict accurately mean and cyclic loads with a turbulent wind input. 47 refs., 19 figs.

  18. Aeroacoustic Testing of Wind Turbine Airfoils: February 20, 2004 - February 19, 2008

    SciTech Connect (OSTI)

    Devenport, W.; Burdisso, R. A.; Camargo, H.; Crede, E.; Remillieux, M.; Rasnick, M.; Van Seeters, P.

    2010-05-01

    The U.S. Department of Energy (DOE), working through its National Renewable Energy Laboratory (NREL), is engaged in a comprehensive research effort to improve the understanding of wind turbine aeroacoustics. The motivation for this effort is the desire to exploit the large expanse of low wind speed sites that tend to be close to U.S. load centers. Quiet wind turbines are an inducement to widespread deployment, so the goal of NREL's aeroacoustic research is to develop tools that the U.S. wind industry can use in developing and deploying highly efficient, quiet wind turbines at low wind speed sites. NREL's National Wind Technology Center (NWTC) is implementing a multifaceted approach that includes wind tunnel tests, field tests, and theoretical analyses in direct support of low wind speed turbine development by its industry partners. NWTC researchers are working hand in hand with engineers in industry to ensure that research findings are available to support ongoing design decisions.

  19. Wind Turbine Wake-Redirection Control at the Fishermen's Atlantic City Windfarm: Preprint

    SciTech Connect (OSTI)

    Churchfield, M.; Fleming, P.; Bulder, B.; White, S.

    2015-05-06

    In this paper, we will present our work towards designing a control strategy to mitigate wind turbine wake effects by redirecting the wakes, specifically applied to the Fishermen’s Atlantic City Windfarm (FACW), proposed for deployment off the shore of Atlantic City, New Jersey. As wind turbines extract energy from the air, they create low-speed wakes that extend behind them. Full wake recovery Full wake recovery to the undisturbed wind speed takes a significant distance. In a wind energy plant the wakes of upstream turbines may travel downstream to the next row of turbines, effectively subjecting them to lower wind speeds, meaning these waked turbines will produce less power.

  20. The Inside of a Wind Turbine | Department of Energy

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

    The Inside of a Wind Turbine The Inside of a Wind Turbine 1 of 17 Tower: 2 of 17 Tower: Made from tubular steel (shown here), concrete, or steel lattice. Supports the structure of the turbine. Because wind speed increases with height, taller towers enable turbines to capture more energy and generate more electricity. Generator: 3 of 17 Generator: Produces 60-cycle AC electricity; it is usually an off-the-shelf induction generator. High-speed shaft: 4 of 17 High-speed shaft: Drives the generator.

  1. Main Coast Winds - Final Scientific Report

    SciTech Connect (OSTI)

    Jason Huckaby; Harley Lee

    2006-03-15

    The Maine Coast Wind Project was developed to investigate the cost-effectiveness of small, distributed wind systems on coastal sites in Maine. The restructuring of Maine's electric grid to support net metering allowed for the installation of small wind installations across the state (up to 100kW). The study performed adds insight to the difficulties of developing cost-effective distributed systems in coastal environments. The technical hurdles encountered with the chosen wind turbine, combined with the lower than expected wind speeds, did not provide a cost-effective return to make a distributed wind program economically feasible. While the turbine was accepted within the community, the low availability has been a negative.

  2. Operational Impacts of Large Deployments of Offshore Wind (Poster)

    SciTech Connect (OSTI)

    Ibanez, E.; Heaney, M.

    2014-10-01

    The potential operational impact of deploying 54 GW of offshore wind in the United States was examined. The capacity was not evenly distributed; instead, it was concentrated in regions with better wind quality and close to load centers (Table 1). A statistical analysis of offshore wind power time series was used to assess the effect on the power system. The behavior of offshore wind resembled that of onshore wind, despite the former presenting higher capacity factors, more consistent power output across seasons, and higher variability levels. Thus, methods developed to manage onshore wind variability can be extended and applied to offshore wind.

  3. Milford Wind Corridor Phase I (Clipper) Wind Farm | Open Energy...

    Open Energy Info (EERE)

    Clipper) Wind Farm Jump to: navigation, search Name Milford Wind Corridor Phase I (Clipper) Wind Farm Facility Milford Wind Corridor Phase I (Clipper) Sector Wind energy Facility...

  4. Wind for Schools Project Curriculum Brief (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-08-01

    The U.S. Department of Energy's (DOE's) 20% Wind Energy by 2030 report recommends expanding education to ensure a trained workforce to meet the projected growth of the wind industry and deployment. Although a few U.S. higher education institutions offer wind technology education programs, most are found in community and technical colleges, resulting in a shortage of programs preparing highly skilled graduates for wind industry careers. Further, the United States lags behind Europe (which has more graduate programs in wind technology design and manufacturing) and is in danger of relinquishing the economic benefits of domestic production of wind turbines and related components and services to European countries. DOE's Wind Powering America initiative launched the Wind for Schools project to develop a wind energy knowledge base among future leaders of our communities, states, and nation while raising awareness about wind energy's benefits. This fact sheet provides an overview of wind energy curricula as it relates to the Wind for Schools project.

  5. Wind Power Curve Modeling in Simple and Complex Terrain

    SciTech Connect (OSTI)

    Bulaevskaya, V.; Wharton, S.; Irons, Z.; Qualley, G.

    2015-02-09

    Our previous work on wind power curve modeling using statistical models focused on a location with a moderately complex terrain in the Altamont Pass region in northern California (CA). The work described here is the follow-up to that work, but at a location with a simple terrain in northern Oklahoma (OK). The goal of the present analysis was to determine the gain in predictive ability afforded by adding information beyond the hub-height wind speed, such as wind speeds at other heights, as well as other atmospheric variables, to the power prediction model at this new location and compare the results to those obtained at the CA site in the previous study. While we reach some of the same conclusions at both sites, many results reported for the CA site do not hold at the OK site. In particular, using the entire vertical profile of wind speeds improves the accuracy of wind power prediction relative to using the hub-height wind speed alone at both sites. However, in contrast to the CA site, the rotor equivalent wind speed (REWS) performs almost as well as the entire profile at the OK site. Another difference is that at the CA site, adding wind veer as a predictor significantly improved the power prediction accuracy. The same was true for that site when air density was added to the model separately instead of using the standard air density adjustment. At the OK site, these additional variables result in no significant benefit for the prediction accuracy.

  6. Michigan Wind II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    II Wind Farm Jump to: navigation, search Name Michigan Wind II Wind Farm Facility Michigan Wind II Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status...

  7. JD Wind 6 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    JD Wind 6 Wind Farm Jump to: navigation, search Name JD Wind 6 Wind Farm Facility JD Wind 6 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  8. JD Wind 7 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    JD Wind 7 Wind Farm Jump to: navigation, search Name JD Wind 7 Wind Farm Facility JD Wind 7 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  9. Metro Wind LLC Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind LLC Wind Farm Jump to: navigation, search Name Metro Wind LLC Wind Farm Facility Metro Wind LLC Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  10. Nebraska wind resource assessment first year results

    SciTech Connect (OSTI)

    Hurley, P.J.F.; Vilhauer, R.; Stooksbury, D.

    1996-12-31

    This paper presents the preliminary results from a wind resource assessment program in Nebraska sponsored by the Nebraska Power Association. During the first year the measured annual wind speed at 40 meters ranged from 6.5 - 7.5 m/s (14.6 - 16.8 mph) at eight stations across the state. The site selection process is discussed as well as an overview of the site characteristics at the monitoring locations. Results from the first year monitoring period including data recovery rate, directionality, average wind speeds, wind shear, and turbulence intensity are presented. Results from the eight sites are qualitatively compared with other midwest and west coast locations. 5 figs., 2 tabs.

  11. Garnet Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Garnet Wind Facility Garnet Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Azusa Light & Water...

  12. Lime Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Lime Wind Facility Lime Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Joseph Millworks Inc...

  13. Fairhaven Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Fairhaven Wind Facility Fairhaven Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Solaya Energy Palmer...

  14. Scituate Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Scituate Wind Facility Scituate Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Solaya Energy ...

  15. Pacific Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Pacific Wind Facility Pacific Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner enXco Developer...

  16. Galactic Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Galactic Wind Facility Galactic Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Epic Systems...

  17. Rockland Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Rockland Wind Facility Rockland Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer Ridgeline...

  18. Greenfield Wind | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name Greenfield Wind Facility Greenfield Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Greenfield Wind Power...

  19. Willmar Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Willmar Wind Facility Willmar Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Willmar...

  20. Energy 101: Wind Turbines

    ScienceCinema (OSTI)

    None

    2013-05-29

    See how wind turbines generate clean electricity from the power of the wind. Highlighted are the various parts and mechanisms of a modern wind turbine.

  1. Wind Program News

    SciTech Connect (OSTI)

    2012-01-06

    Stay current on the news about the wind side of the Wind and Water Power Program and important wind energy events around the U.S.

  2. NREL: Innovation Impact - Wind

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

    Wind Energy Menu Home Home Solar Solar Wind Wind Analysis Analysis Bioenergy Bioenergy Buildings Buildings Transportation Transportation Manufacturing Manufacturing Energy Systems ...

  3. Higher Education

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

    Education » Higher Education Higher Education Explore the multiple dimensions of a career at Los Alamos: work with brilliant minds in an inclusive environment rich in intellectual vitality and opportunities for growth. Contact Education Janelle Vigil-Maestas Community Partnerships Office (505) 665-4329 Email "The partnership between the Laboratory and regional colleges creates opportunities for students like me to attain challenging and rewarding careers." - Sherry Salas Bachicha

  4. Wind for Schools Project Curriculum Brief (Fact Sheet), Wind And Water Power Program (WWPP)

    Wind Powering America (EERE)

    Introduction The U.S. Department of Energy's (DOE's) 20% Wind Energy by 2030 report recommends expanding educa- tion to ensure a trained workforce to meet the projected growth of the wind industry and deployment. Although a few U.S. higher education institu- tions offer wind technology education programs, most are found in community and technical colleges, resulting in a shortage of programs preparing highly skilled graduates for wind industry careers. Further, the United States lags behind

  5. NREL: Wind Research - Site Wind Resource Characteristics

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

    Site Wind Resource Characteristics A graphic showing the location of National Wind Technology Center and its wind power class 2. Click on the image to view a larger version. ...

  6. Wind Development on Tribal Lands

    SciTech Connect (OSTI)

    Ken Haukaas; Dale Osborn; Belvin Pete

    2008-01-18

    Background: The Rosebud Sioux Tribe (RST) is located in south central South Dakota near the Nebraska border. The nearest community of size is Valentine, Nebraska. The RST is a recipient of several Department of Energy grants, written by Distributed Generation Systems, Inc. (Disgen), for the purposes of assessing the feasibility of its wind resource and subsequently to fund the development of the project. Disgen, as the contracting entity to the RST for this project, has completed all the pre-construction activities, with the exception of the power purchase agreement and interconnection agreement, to commence financing and construction of the project. The focus of this financing is to maximize the economic benefits to the RST while achieving commercially reasonable rates of return and fees for the other parties involved. Each of the development activities required and its status is discussed below. Land Resource: The Owl Feather War Bonnet 30 MW Wind Project is located on RST Tribal Trust Land of approximately 680 acres adjacent to the community of St. Francis, South Dakota. The RST Tribal Council has voted on several occasions for the development of this land for wind energy purposes, as has the District of St. Francis. Actual footprint of wind farm will be approx. 50 acres. Wind Resource Assessment: The wind data has been collected from the site since May 1, 2001 and continues to be collected and analyzed. The latest projections indicate a net capacity factor of 42% at a hub height of 80 meters. The data has been collected utilizing an NRG 9300 Data logger System with instrumentation installed at 30, 40 and 65 meters on an existing KINI radio tower. The long-term annual average wind speed at 65-meters above ground level is 18.2 mph (8.1 mps) and 18.7 mph (8.4 mps) at 80-meters agl. The wind resource is excellent and supports project financing.

  7. NREL: Wind Research - Offshore Wind Turbine Research

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

    Offshore Wind Turbine Research Photo of a European offshore wind farm. Photo by Siemens For more than eight years, NREL has worked with the U.S. Department of Energy (DOE) to become an international leader in offshore wind energy research. NREL's offshore wind turbine research capabilities focus on critical areas that reflect the long-term needs of the industry and DOE. National Wind Technology Center (NWTC) researchers are perpetually exploring new wind and water power concepts, materials, and

  8. NREL Develops New Controls that Proactively Adapt to the Wind (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-11-01

    Until now, wind turbine controls that reduce the impacts of wind gusts and turbulence were always reactive-responding to the wind rather than anticipating it. But with today's laser-based sensors that measure wind speed ahead of the turbine, researchers at the National Renewable Energy Laboratory (NREL) and their industry partners are developing more intelligent controls. The world's first field tests of these controls are currently underway at the National Wind Technology Center (NWTC) at NREL, with plans for future commercialization.

  9. NREL Develops New Controls that Proactively Adapt to the Wind (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-10-01

    Until now, wind turbine controls that reduce the impacts of wind gusts and turbulence were always reactive -- responding to the wind rather than anticipating it. But with today's laser-based sensors that measure wind speed ahead of the turbine, researchers at the National Renewable Energy Laboratory (NREL) and their industry partners are developing more intelligent controls. The world's first field tests of these controls are currently underway at the National Wind Technology Center (NWTC) at NREL, with plans for future commercialization.

  10. Wind | Department of Energy

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

    Science & Innovation Energy Sources Renewable Energy Wind Wind Wind The United States is home to one of the largest and fastest growing wind markets in the world. To stay ...

  11. NREL: Wind Research - Wind Resource Assessment

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

    Wind Resource Assessment A map of the United States is color-coded to indicate the high winds at 80 meters. This map shows the wind resource at 80 meters for both land-based and offshore wind resources in the United States. Correct estimation of the energy available in the wind can make or break the economics of wind plant development. Wind mapping and validation techniques developed at the National Wind Technology Center (NWTC) along with collaborations with U.S. companies have produced

  12. NREL: Wind Research - Wind Energy Videos

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

    Wind Energy Videos The National Wind Technology Center (NWTC) is pleased to offer video presentations of its world-class capabilities, facilities, research areas, and personnel. As ...

  13. Wind Integration National Dataset (WIND) Toolkit

    Broader source: Energy.gov [DOE]

    For utility companies, grid operators and other stakeholders interested in wind energy integration, collecting large quantities of high quality data on wind energy resources is vitally important....

  14. Method and system for controlling a rotational speed of a rotor of a turbogenerator

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean; Vuk, Carl Thomas

    2008-12-30

    A system and method controls a rotational speed of a rotor or shaft of a turbogenerator in accordance with a present voltage level on a direct current bus. A lower threshold and a higher threshold are established for a speed of a rotor or shaft of a turbogenerator. A speed sensor determines speed data or a speed signal for the rotor or shaft associated with a turbogenerator. A voltage regulator adjusts a voltage level associated with a direct current bus within a target voltage range if the speed data or speed signal indicates that the speed is above the higher threshold or below the lower threshold.

  15. SPECTRAL SLOPE VARIATION AT PROTON SCALES FROM FAST TO SLOW SOLAR WIND

    SciTech Connect (OSTI)

    Bruno, R.; Trenchi, L.; Telloni, D.

    2014-09-20

    We investigated the behavior of the spectral slope of interplanetary magnetic field fluctuations at proton scales for selected high-resolution time intervals from the WIND and MESSENGER spacecraft at 1 AU and 0.56 AU, respectively. The analysis was performed within the profile of high-speed streams, moving from fast to slow wind regions. The spectral slope showed a large variability between –3.75 and –1.75 and a robust tendency for this parameter to be steeper within the trailing edge, where the speed is higher, and to be flatter within the subsequent slower wind, following a gradual transition between these two states. The value of the spectral index seems to depend firmly on the power associated with the fluctuations within the inertial range; the higher the power, the steeper the slope. Our results support previous analyses suggesting that there must be some response of the dissipation mechanism to the level of the energy transfer rate along the inertial range.

  16. High-Speed Photography

    SciTech Connect (OSTI)

    Paisley, D.L.; Schelev, M.Y.

    1998-08-01

    The applications of high-speed photography to a diverse set of subjects including inertial confinement fusion, laser surgical procedures, communications, automotive airbags, lightning etc. are briefly discussed. (AIP) {copyright} {ital 1998 Society of Photo-Optical Instrumentation Engineers.}

  17. Power Performance Test Report for the SWIFT Wind Turbine

    SciTech Connect (OSTI)

    Mendoza, I.; Hur, J.

    2012-12-01

    This report summarizes the results of a power performance test that NREL conducted on the SWIFT wind turbine. This test was conducted in accordance with the International Electrotechnical Commission's (IEC) standard, Wind Turbine Generator Systems Part 12: Power Performance Measurements of Electricity Producing Wind Turbines, IEC 61400-12-1 Ed.1.0, 2005-12. However, because the SWIFT is a small turbine as defined by IEC, NREL also followed Annex H that applies to small wind turbines. In these summary results, wind speed is normalized to sea-level air density.

  18. Full Hybrid: Low Speed

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    highlighted Cruising button Passing button Braking button Stopped button LOW SPEED For initial acceleration and slow-speed driving, as well as reverse, the electric motor uses electricity from the battery to power the vehicle. If the battery needs to be recharged, the generator starts the engine and converts energy from the engine into electricity, which is stored in the battery. stage graphic: vertical blue rule Main stage: See through car with battery, engine, generator, power split device,

  19. High-speed

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

    speed three-wave polarimeter-interferometer diagnostic for Madison symmetric torus B. H. Deng, D. L. Brower, and W. X. Ding Electrical Engineering Department, University of California, Los Angeles, California 90095 M. D. Wyman, B. E. Chapman, and J. S. Sarff Department of Physics, University of Wisconsin, Madison, Wisconsin 53706 ͑Received 5 May 2006; presented on 10 May 2006; accepted 11 June 2006; published online 27 September 2006͒ A high-speed three-wave polarimeter-interferometer

  20. Wind Tunnel Aerodynamic Tests of Six Airfoils for Use on Small Wind Turbines; Period of Performance: October 31, 2002--January 31, 2003

    SciTech Connect (OSTI)

    Selig, M. S.; McGranahan, B. D.

    2004-10-01

    Wind Tunnel Aerodynamic Tests of Six Airfoils for Use on Small Wind Turbinesrepresents the fourth installment in a series of volumes documenting the ongoing work of th University of Illinois at Urbana-Champaign Low-Speed Airfoil Tests Program. This particular volume deals with airfoils that are candidates for use on small wind turbines, which operate at low Reynolds numbers.

  1. Variable diameter wind turbine rotor blades

    DOE Patents [OSTI]

    Jamieson, Peter McKeich; Hornzee-Jones, Chris; Moroz, Emilian M.; Blakemore, Ralph W.

    2005-12-06

    A system and method for changing wind turbine rotor diameters to meet changing wind speeds and control system loads is disclosed. The rotor blades on the wind turbine are able to adjust length by extensions nested within or containing the base blade. The blades can have more than one extension in a variety of configurations. A cable winching system, a hydraulic system, a pneumatic system, inflatable or elastic extensions, and a spring-loaded jack knife deployment are some of the methods of adjustment. The extension is also protected from lightning by a grounding system.

  2. TMCC WIND RESOURCE ASSESSMENT

    SciTech Connect (OSTI)

    Turtle Mountain Community College

    2003-12-30

    North Dakota has an outstanding resource--providing more available wind for development than any other state. According to U.S. Department of Energy (DOE) studies, North Dakota alone has enough energy from good wind areas, those of wind power Class 4 and higher, to supply 36% of the 1990 electricity consumption of the entire lower 48 states. At present, no more than a handful of wind turbines in the 60- to 100-kilowatt (kW) range are operating in the state. The first two utility-scale turbines were installed in North Dakota as part of a green pricing program, one in early 2002 and the second in July 2002. Both turbines are 900-kW wind turbines. Two more wind turbines are scheduled for installation by another utility later in 2002. Several reasons are evident for the lack of wind development. One primary reason is that North Dakota has more lignite coal than any other state. A number of relatively new minemouth power plants are operating in the state, resulting in an abundance of low-cost electricity. In 1998, North Dakota generated approximately 8.2 million megawatt-hours (MWh) of electricity, largely from coal-fired plants. Sales to North Dakota consumers totaled only 4.5 million MWh. In addition, the average retail cost of electricity in North Dakota was 5.7 cents per kWh in 1998. As a result of this surplus and the relatively low retail cost of service, North Dakota is a net exporter of electricity, selling approximately 50% to 60% of the electricity produced in North Dakota to markets outside the state. Keeping in mind that new electrical generation will be considered an export commodity to be sold outside the state, the transmission grid that serves to export electricity from North Dakota is at or close to its ability to serve new capacity. The markets for these resources are outside the state, and transmission access to the markets is a necessary condition for any large project. At the present time, technical assessments of the transmission network indicate

  3. Simulation Toolkit Promises Better Wind Predictions, Increased Farm

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

    Production | Department of Energy Simulation Toolkit Promises Better Wind Predictions, Increased Farm Production Simulation Toolkit Promises Better Wind Predictions, Increased Farm Production May 11, 2016 - 6:16pm Addthis Wind farm production frequently falls short of expectations. Poor forecasts of low-altitude winds, suboptimal wind plant design and operation, and higher-than-expected downtimes and maintenance costs all undermine project profitability. Each of these issues results from

  4. How to measure the wind accurately in icing conditions

    SciTech Connect (OSTI)

    Kenyon, P.R.; Blittersdorf, D.C.

    1995-12-31

    Atmospheric icing occurs frequently in the northwestern, Midwestern and northeastern United States from early October through April at locations with high average wind speeds. It has caused wind data recovery problems at sites as far south as Texas. Icing slows anemometers used to assess the wind resource. Data recovered from sites prone to icing will show lower average wind speeds than actual, undervaluing them. The assessment of a wind site must present the actual wind potential. Anemometers used at these sites must remain free of ice. This report presents a description of icing types and the data distortion they cause based on NRG field experience. A brief history of anti-icing anemometers available today for remote site and turbine site monitoring follows. Comparative data of NRG`s IceFree anemometers and the industry standard unheated anemometer is included.

  5. Distributed Wind Diffusion Model Overview (Presentation)

    SciTech Connect (OSTI)

    Preus, R.; Drury, E.; Sigrin, B.; Gleason, M.

    2014-07-01

    Distributed wind market demand is driven by current and future wind price and performance, along with several non-price market factors like financing terms, retail electricity rates and rate structures, future wind incentives, and others. We developed a new distributed wind technology diffusion model for the contiguous United States that combines hourly wind speed data at 200m resolution with high resolution electricity load data for various consumer segments (e.g., residential, commercial, industrial), electricity rates and rate structures for utility service territories, incentive data, and high resolution tree cover. The model first calculates the economics of distributed wind at high spatial resolution for each market segment, and then uses a Bass diffusion framework to estimate the evolution of market demand over time. The model provides a fundamental new tool for characterizing how distributed wind market potential could be impacted by a range of future conditions, such as electricity price escalations, improvements in wind generator performance and installed cost, and new financing structures. This paper describes model methodology and presents sample results for distributed wind market potential in the contiguous U.S. through 2050.

  6. Wind Energy

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

    2 - 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 Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  7. Wind Energy

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

    3 - 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 Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  8. Wind News

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

    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 Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear Energy

  9. wind turbines

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

    turbines - 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 Energy Defense Waste Management Programs Advanced Nuclear Energy

  10. Diagnostic Mass-Consistent Wind Field Monte Carlo Dispersion Model

    Energy Science and Technology Software Center (OSTI)

    1991-01-01

    MATHEW generates a diagnostic mass-consistent, three-dimensional wind field based on point measurements of wind speed and direction. It accounts for changes in topography within its calculational domain. The modeled wind field is used by the Langrangian ADPIC dispersion model. This code is designed to predict the atmospheric boundary layer transport and diffusion of neutrally bouyant, non-reactive species as well as first-order chemical reactions and radioactive decay (including daughter products).

  11. JD Wind 4 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    4 Wind Farm Jump to: navigation, search Name JD Wind 4 Wind Farm Facility JD Wind 4 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner John...

  12. JD Wind 1 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name JD Wind 1 Wind Farm Facility JD Wind 1 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner DWSJohn...

  13. North Dakota Wind II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    II Wind Farm Jump to: navigation, search Name North Dakota Wind II Wind Farm Facility North Dakota Wind II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  14. Venture Wind II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    II Wind Farm Jump to: navigation, search Name Venture Wind II Wind Farm Facility Venture Wind II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  15. MinWind I & II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    I & II Wind Farm Jump to: navigation, search Name MinWind I & II Wind Farm Facility MinWind I & II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  16. Cow Branch Wind Energy Center Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Cow Branch Wind Energy Center Wind Farm Jump to: navigation, search Name Cow Branch Wind Energy Center Wind Farm Facility Cow Branch Wind Energy Center Sector Wind energy Facility...

  17. JD Wind 5 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    5 Wind Farm Jump to: navigation, search Name JD Wind 5 Wind Farm Facility JD Wind 5 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner John...

  18. The National Wind Technology Center

    SciTech Connect (OSTI)

    Thresher, R.W.; Hock, S.M.; Loose, R.R.; Cadogon, J.B.

    1994-07-01

    Wind energy research began at the Rocky Flats test site in 1976 when Rockwell International subcontracted with the Energy Research and Development Administration (ERDA). The Rocky Flats Plant was competitively selected from a number of ERDA facilities primarily because it experienced high instantaneous winds and provided a large, clear land area. By 1977, several small wind turbines were in place. During the facility`s peak of operation, in 1979-1980, researchers were testing as many as 23 small wind turbines of various configurations, including commercially available machines and prototype turbines developed under subcontract to Rocky Flats. Facilities also included 8-kW, 40-kW, and 225-kW dynamometers; a variable-speed test bed; a wind/hybrid test facility; a controlled velocity test facility (in Pueblo, Colorado); a modal test facility, and a multimegawatt switchgear facility. The main laboratory building was dedicated in July 1981 and was operated by the Rocky Flats Plant until 1984, when the Solar Energy Research Institute (SERI) and Rocky Flats wind energy programs were merged and transferred to SERI. SERI and now the National Renewable Energy Laboratory (NREL) continued to conduct wind turbine system component tests after 1987, when most program personnel were moved to the Denver WEst Office Park in Golden and site ownership was transferred back to Rocky Flats. The Combined Experiment test bed was installed and began operation in 1988, and the NREL structural test facility began operation in 1990. In 1993, the site`s operation was officially transferred to the DOE Golden Field Office that oversees NREL. This move was in anticipation of NREL`s renovation and reoccupation of the facility in 1994.

  19. ARM - Lesson Plans: Observing Wind Speed and Cloudiness

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

    the sky is half covered, the cloud cover is 4 oktas, or 48. Clouds can be low 0-3 kilometers high, medium 3-6 kilometers high or high over 6 kilometers high. Very high...

  20. Influence of wind speed averaging on estimates of dimethylsulfide...

    Office of Scientific and Technical Information (OSTI)

    Subject: dimethysulfide; air-sea gas exchange; surface fluxes; marine boundary layer; climate change; Monin-Obukhov similarity theory Word Cloud More Like This Free Publicly ...

  1. Influence of wind speed averaging on estimates of dimethylsulfide...

    Office of Scientific and Technical Information (OSTI)

    of dimethylsulfide emission fluxes E. G. Chapman, W. J. Shaw, R. C. Easter, X. ... similarity theory Citation: Chapman, E. G., W. J. Shaw, R. C. Easter, X. Bian, and S. ...

  2. WIND VARIABILITY IN BZ CAMELOPARDALIS

    SciTech Connect (OSTI)

    Honeycutt, R. K.; Kafka, S.; Robertson, J. W. E-mail: skafka@dtm.ciw.edu

    2013-02-01

    Sequences of spectra of the nova-like cataclysmic variable (CV) BZ Cam were acquired on nine nights in 2005-2006 in order to study the time development of episodes of wind activity known to occur frequently in this star. We confirm the results of Ringwald and Naylor that the P-Cygni absorption components of the lines mostly evolve from higher expansion velocity to lower velocity as an episode progresses. We also commonly find blueshifted emission components in the H{alpha} line profile, whose velocities and durations strongly suggest that they are also due to the wind. Curiously, Ringwald and Naylor reported common occurrences of redshifted H{alpha} emission components in their BZ Cam spectra. We have attributed these emission components in H{alpha} to occasions when gas concentrations in the bipolar wind (both front side and back side) become manifested as emission lines as they move beyond the disk's outer edge. We also suggest, based on changes in the P-Cygni profiles during an episode, that the progression from larger to smaller expansion velocities is due to the higher velocity portions of a wind concentration moving beyond the edge of the continuum light of the disk first, leaving a net redward shift of the remaining absorption profile. We derive a new orbital ephemeris for BZ Cam, using the radial velocity of the core of the He I {lambda}5876 line, finding P = 0.15353(4). Using this period, the wind episodes in BZ Cam are found to be concentrated near the inferior conjunction of the emission line source. This result helps confirm that the winds in nova-like CVs are often phase dependent, in spite of the puzzling implication that such winds lack axisymmetry. We argue that the radiation-driven wind in BZ Cam receives an initial boost by acting on gas that has been lifted above the disk by the interaction of the accretion stream with the disk, thereby imposing flickering timescales onto the wind events, as well as leading to an orbital modulation of the wind

  3. WINDExchange: Potential Wind Capacity

    Wind Powering America (EERE)

    Potential Wind Capacity Potential wind capacity maps are provided for a 2014 industry standard wind turbine installed on a 110-m tower, which represents plausible current technology options, and a wind turbine on a 140-m tower, which represents near-future technology options. For more detailed information regarding the assumptions and calculations behind the wind potential capacity maps, see the Energy Department's Enabling Wind Power Nationwide report. Enlarge image This map shows the wind

  4. Wind energy | Open Energy Information

    Open Energy Info (EERE)

    Wind energy (Redirected from Wind power) Jump to: navigation, search Wind energy is a form of solar energy.1 Wind energy (or wind power) describes the process by which wind is...

  5. Wind Technologies & Evolving Opportunities (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-07-01

    This presentation covers opportunities for wind technology; wind energy market trends; an overview of the National Wind Technology Center near Boulder, Colorado; wind energy price and cost trends; wind turbine technology improvements; and wind resource characterization improvements.

  6. GL Wind | Open Energy Information

    Open Energy Info (EERE)

    GL Wind Jump to: navigation, search Name GL Wind Facility GL Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner GL Wind Developer Juhl...

  7. Brazos Wind Ranch Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Shell Wind EnergyMitsui Developer Cielo Wind PowerOrion Energy Energy Purchaser Green...

  8. Wind tunnel performance data for the Darrieus wind turbine with...

    Office of Scientific and Technical Information (OSTI)

    Wind tunnel performance data for the Darrieus wind turbine with NACA 0012 blades Citation Details In-Document Search Title: Wind tunnel performance data for the Darrieus wind ...

  9. 20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology...

    Office of Environmental Management (EM)

    - Chapter 2: Wind Turbine Technology Summary Slides 20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology Summary Slides Summary slides for wind turbine technology, its ...

  10. First Wind (Formerly UPC Wind) (Oregon) | Open Energy Information

    Open Energy Info (EERE)

    First Wind (Formerly UPC Wind) Address: 1001 S.W. Fifth Avenue Place: Portland, Oregon Zip: 97204 Region: Pacific Northwest Area Sector: Wind energy Product: Wind power developer...

  11. A National Offshore Wind Strategy: Creating an Offshore Wind...

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

    A National Offshore Wind Strategy: Creating an Offshore Wind Energy Industry in the United States A National Offshore Wind Strategy: Creating an Offshore Wind Energy Industry in ...

  12. DOE Offers Conditional Commitment to Cape Wind Offshore Wind...

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

    Offers Conditional Commitment to Cape Wind Offshore Wind Generation Project DOE Offers Conditional Commitment to Cape Wind Offshore Wind Generation Project September 11, 2014 - ...

  13. 2015 Iowa Wind Power Conference and Iowa Wind Energy Association...

    Office of Environmental Management (EM)

    2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional Energy Job Fair 2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional...

  14. Modeling Sensitivities to the 20% Wind Scenario Report with the WinDS Model

    SciTech Connect (OSTI)

    Blair, N.; Hand, M.; Short, W.; Sullivan, P.

    2008-06-01

    In May 2008, DOE published '20% Wind Energy by 2030', a report which describes the costs and benefits of producing 20% of the nation's projected electricity demand in 2030 from wind technology. The total electricity system cost resulting from this scenario was modestly higher than a scenario in which no additional wind was installed after 2006. NREL's Wind Deployment System (WinDS) model was used to support this analysis. With its 358 regions, explicit treatment of transmission expansion, onshore siting considerations, shallow- and deep-water wind resources, 2030 outlook, explicit financing assumptions, endogenous learning, and stochastic treatment of wind resource variability, WinDS is unique in the level of detail it can bring to this analysis. For the 20% Wind Energy by 2030 analysis, the group chose various model structures (such as the ability to wheel power within an interconnect), and the wind industry agreed on a variety of model inputs (such as the cost of transmission or new wind turbines). For this paper, the analysis examined the sensitivity of the results to variations in those input values and model structure choices. These included wind cost and performance improvements over time, seasonal/diurnal wind resource variations, transmission access and costs, siting costs, conventional fuel cost trajectories, and conventional capital costs.

  15. Multi-winding Homopolar Electric Machine Offers Variable Voltage at Low

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

    Rotational Speed - Energy Innovation Portal Wind Energy Wind Energy Industrial Technologies Industrial Technologies Find More Like This Return to Search Multi-winding Homopolar Electric Machine Offers Variable Voltage at Low Rotational Speed Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing SummaryA nineteenth century invention by Michael Faraday, the Faraday disc machine, has undergone a twenty-first century improvement at ORNL. Now known as a homopolar

  16. Methods and apparatus for twist bend coupled (TCB) wind turbine blades

    DOE Patents [OSTI]

    Moroz, Emilian Mieczyslaw; LeMieux, David Lawrence; Pierce, Kirk Gee

    2006-10-10

    A method for controlling a wind turbine having twist bend coupled rotor blades on a rotor mechanically coupled to a generator includes determining a speed of a rotor blade tip of the wind turbine, measuring a current twist distribution and current blade loading, and adjusting a torque of a generator to change the speed of the rotor blade tip to thereby increase an energy capture power coefficient of the wind turbine.

  17. Wind loading on solar concentrators: some general considerations

    SciTech Connect (OSTI)

    Roschke, E. J.

    1984-05-01

    A survey has been completed to examine the problems and complications arising from wind loading on solar concentrators. Wind loading is site specific and has an important bearing on the design, cost, performance, operation and maintenance, safety, survival, and replacement of solar collecting systems. Emphasis herein is on paraboloidal, two-axis tracking systems. Thermal receiver problems also are discussed. Wind characteristics are discussed from a general point of view; current methods for determining design wind speed are reviewed. Aerodynamic coefficients are defined and illustrative examples are presented. Wind tunnel testing is discussed, and environmental wind tunnels are reviewed; recent results on heliostat arrays are reviewed as well. Aeroelasticity in relation to structural design is discussed briefly. Wind loads, i.e., forces and moments, are proportional to the square of the mean wind velocity. Forces are proportional to the square of concentrator diameter, and moments are proportional to the cube of diameter. Thus, wind loads have an important bearing on size selection from both cost and performance standpoints. It is concluded that sufficient information exists so that reasonably accurate predictions of wind loading are possible for a given paraboloidal concentrator configuration, provided that reliable and relevant wind conditions are specified. Such predictions will be useful to the design engineer and to the systems engineer as well. Information is lacking, however, on wind effects in field arrays of paraboloidal concentrators. Wind tunnel tests have been performed on model heliostat arrays, but there are important aerodynamic differences between heliostats and paraboloidal dishes.

  18. National Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name: National Wind Place: Minneapolis, Minnesota Zip: 55402 Sector: Wind energy Product: Wind project developer in the upper Midwest and Plains...

  19. Coriolis Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Logo: Coriolis Wind Name: Coriolis Wind Place: Great Falls, Virginia Zip: 22066 Product: Mid-Scale Wind Turbine Year Founded: 2007 Website:...

  20. Horn Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name: Horn Wind Place: Windthorst, Texas Zip: 76389 Sector: Wind energy Product: Texas-based company that develops community-based industrial wind...

  1. Royal Wind | Open Energy Information

    Open Energy Info (EERE)

    Name: Royal Wind Place: Denver, Colorado Sector: Wind energy Product: Vertical Wind Turbines Year Founded: 2008 Website: www.RoyalWindTurbines.com Coordinates: 39.7391536,...

  2. Solar Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name: Solar Wind Place: Krasnodar, Romania Zip: 350000 Sector: Solar, Wind energy Product: Russia-based PV product manufacturer. Solar Wind...

  3. Wind Energy | Department of Energy

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

    Wind Energy Wind Energy Below are resources for Tribes on wind energy technologies. 2012 Market Report on Wind Technologies in Distributed Applications Includes a breakdown of ...

  4. Jasper Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name: Jasper Wind Place: Athens, Greece Sector: Solar, Wind energy Product: Athens-based wind and solar project developer. Coordinates: 37.97615,...

  5. High speed door assembly

    DOE Patents [OSTI]

    Shapiro, C.

    1993-04-27

    A high speed door assembly is described, comprising an actuator cylinder and piston rods, a pressure supply cylinder and fittings, an electrically detonated explosive bolt, a honeycomb structured door, a honeycomb structured decelerator, and a structural steel frame encasing the assembly to close over a 3 foot diameter opening within 50 milliseconds of actuation, to contain hazardous materials and vapors within a test fixture.

  6. High speed door assembly

    DOE Patents [OSTI]

    Shapiro, Carolyn

    1993-01-01

    A high speed door assembly, comprising an actuator cylinder and piston rods, a pressure supply cylinder and fittings, an electrically detonated explosive bolt, a honeycomb structured door, a honeycomb structured decelerator, and a structural steel frame encasing the assembly to close over a 3 foot diameter opening within 50 milliseconds of actuation, to contain hazardous materials and vapors within a test fixture.

  7. WINDExchange: Siting Wind Turbines

    Wind Powering America (EERE)

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers Economic Development Siting Resources & Tools Siting Wind Turbines This page provides resources about wind turbine siting. American Wind Wildlife Institute The American Wind Wildlife Institute (AWWI) facilitates timely and responsible development of wind energy, while protecting wildlife and wildlife habitat. AWWI was created and is sustained by a unique collaboration of environmentalists, conservationists,

  8. Wind/Wave Misalignment in the Loads Analysis of a Floating Offshore Wind Turbine: Preprint

    SciTech Connect (OSTI)

    Barj, L.; Stewart, S.; Stewart, G.; Lackner, M.; Jonkman, J.; Robertson, A.

    2014-02-01

    Wind resources far from the shore and in deeper seas have encouraged the offshore wind industry to look into floating platforms. The International Electrotechnical Commission (IEC) is developing a new technical specification for the design of floating offshore wind turbines that extends existing design standards for land-based and fixed-bottom offshore wind turbines. The work summarized in this paper supports the development of best practices and simulation requirements in the loads analysis of floating offshore wind turbines by examining the impact of wind/wave misalignment on the system loads under normal operation. Simulations of the OC3-Hywind floating offshore wind turbine system under a wide range of wind speeds, significant wave heights, peak-spectral periods and wind/wave misalignments have been carried out with the aero-servo-hydro-elastic tool FAST [4]. The extreme and fatigue loads have been calculated for all the simulations. The extreme and fatigue loading as a function of wind/wave misalignment have been represented as load roses and a directional binning sensitivity study has been carried out. This study focused on identifying the number and type of wind/wave misalignment simulations needed to accurately capture the extreme and fatigue loads of the system in all possible metocean conditions considered, and for a down-selected set identified as the generic US East Coast site. For this axisymmetric platform, perpendicular wind and waves play an important role in the support structure and including these cases in the design loads analysis can improve the estimation of extreme and fatigue loads. However, most structural locations see their highest extreme and fatigue loads with aligned wind and waves. These results are specific to the spar type platform, but it is expected that the results presented here will be similar to other floating platforms.

  9. Wildcat Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wildcat Ridge Wind Farm Facility Wildcat Ridge Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Midwest Wind Energy Developer Midwest Wind...

  10. Radial Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    search Name Radial Wind Farm Facility Radial Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Radial Wind Developer Radial Wind Location...

  11. Crow Lake Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Crow Lake Wind Facility Crow Lake Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Prairie Winds...

  12. Model Wind Ordinance

    Broader source: Energy.gov [DOE]

    In July, 2008 the North Carolina Wind Working Group, a coalition of state government, non-profit and wind industry organizations, published a model wind ordinance to provide guidance for...

  13. NREL: Wind Research - News

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

    Wind Technology Center at NREL provides a number of wind news sources to help you stay up-to-date with its activities, research, and new developments. NREL Wind News See...

  14. Solar and Wind Easements

    Broader source: Energy.gov [DOE]

    In April 2011, the provisions related to wind easements were repealed by House Bill 295 (2011) and replaced with more extensive wind easements provisions.  This legislation defines wind energy ri...

  15. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2006-05-01

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

  16. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2007-05-01

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

  17. Could crop height affect the wind resource at agriculturally productive wind farm sites?

    SciTech Connect (OSTI)

    Vanderwende, Brian; Lundquist, Julie K.

    2015-11-07

    The collocation of cropland and wind turbines in the US Midwest region introduces complex meteorological interactions that could influence both agriculture and wind-power production. Crop management practices may affect the wind resource through alterations of land-surface properties. We use the weather research and forecasting (WRF) model to estimate the impact of crop height variations on the wind resource in the presence of a large turbine array. A hypothetical wind farm consisting of 121 1.8-MW turbines is represented using the WRF model wind-farm parametrization. We represent the impact of selecting soybeans rather than maize by altering the aerodynamic roughness length in a region approximately 65 times larger than that occupied by the turbine array. Roughness lengths of 0.1 and 0.25 m represent the mature soy crop and a mature maize crop, respectively. In all but the most stable atmospheric conditions, statistically significant hub-height wind-speed increases and rotor-layer wind-shear reductions result from switching from maize to soybeans. Based on simulations for the entire month of August 2013, wind-farm energy output increases by 14 %, which would yield a significant monetary gain. Further investigation is required to determine the optimal size, shape, and crop height of the roughness modification to maximize the economic benefit and minimize the cost of such crop-management practices. As a result, these considerations must be balanced by other influences on crop choice such as soil requirements and commodity prices.

  18. Speed control system for an access gate

    SciTech Connect (OSTI)

    Bzorgi, Fariborz M.

    2012-03-20

    An access control apparatus for an access gate. The access gate typically has a rotator that is configured to rotate around a rotator axis at a first variable speed in a forward direction. The access control apparatus may include a transmission that typically has an input element that is operatively connected to the rotator. The input element is generally configured to rotate at an input speed that is proportional to the first variable speed. The transmission typically also has an output element that has an output speed that is higher than the input speed. The input element and the output element may rotate around a common transmission axis. A retardation mechanism may be employed. The retardation mechanism is typically configured to rotate around a retardation mechanism axis. Generally the retardation mechanism is operatively connected to the output element of the transmission and is configured to retard motion of the access gate in the forward direction when the first variable speed is above a control-limit speed. In many embodiments the transmission axis and the retardation mechanism axis are substantially co-axial. Some embodiments include a freewheel/catch mechanism that has an input connection that is operatively connected to the rotator. The input connection may be configured to engage an output connection when the rotator is rotated at the first variable speed in a forward direction and configured for substantially unrestricted rotation when the rotator is rotated in a reverse direction opposite the forward direction. The input element of the transmission is typically operatively connected to the output connection of the freewheel/catch mechanism.

  19. Evaluation of Global Onshore Wind Energy Potential and Generation Costs

    SciTech Connect (OSTI)

    Zhou, Yuyu; Luckow, Patrick; Smith, Steven J.; Clarke, Leon E.

    2012-06-20

    In this study, we develop an updated global estimate of onshore wind energy potential using reanalysis wind speed data, along with updated wind turbine technology performance and cost assumptions as well as explicit consideration of transmission distance in the calculation of transmission costs. We find that wind has the potential to supply a significant portion of world energy needs, although this potential varies substantially by region as well as with assumptions such as on what types of land can be used to site wind farms. Total global wind potential under central assumptions is estimated to be approximately 89 petawatt hours per year at less than 9 cents/kWh with substantial regional variations. One limitation of global wind analyses is that the resolution of current global wind speed reanalysis data can result in an underestimate of high wind areas. A sensitivity analysis of eight key parameters is presented. Wind potential is sensitive to a number of input parameters, particularly those related to land suitability and turbine density as well as cost and financing assumptions which have important policy implications. Transmission cost has a relatively small impact on total wind costs, changing the potential at a given cost by 20-30%. As a result of sensitivities studied here we suggest that further research intended to inform wind supply curve development focus not purely on physical science, such as better resolved wind maps, but also on these less well-defined factors, such as land-suitability, that will also have an impact on the long-term role of wind power.

  20. NREL: Wind Research - Testing

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

    Testing Photo of a large wind turbine blade sticking out of the structural testing laboratory; it is perpendicular to a building at the National Wind Technology Center. A multimegawatt wind turbine blade extends outside of the structural testing facility at the NWTC. PIX #19010 Testing capabilities at the National Wind Technology Center (NWTC) support the installation and testing of wind turbines that range in size from 400 watts to 5.0 megawatts. Engineers provide wind industry manufacturers,

  1. Distributed Wind Ordinances: Slides

    Wind Powering America (EERE)

    an introduction to distributed wind projects and a brief overview of topics to consider when developing a distributed wind energy ordinance. Distributed Wind Ordinances Photo from Byers and Renier Construction, NREL 18820 Distributed Wind Ordinances The U.S. Department of Energy defines distributed wind projects as: (a) The use of wind turbines, on- or off-grid, at homes, farms and ranches, businesses, public and industrial facilities, or other sites to offset all or a portion of the local

  2. Wind Energy Integration: Slides

    Wind Powering America (EERE)

    information about integrating wind energy into the electricity grid. Wind Energy Integration Photo by Dennis Schroeder, NREL 25907 Wind energy currently contributes significant power to energy portfolios around the world. *U.S. Department of Energy. (August 2015). 2014 Wind Technologies Market Report. Wind Energy Integration In 2014, Denmark led the way with wind power supplying roughly 39% of the country's electricity demand. Ireland, Portugal, and Spain provided more than 20% of their

  3. Wind | Department of Energy

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

    Wind Wind Wind The United States is home to one of the largest and fastest growing wind markets in the world. To stay competitive in this sector, the Energy Department invests in wind research and development projects, both on land and offshore, to advance technology innovations, create job opportunities and boost economic growth. Moving forward, the U.S. wind industry remains a critical part of the Energy Department's all-of-the-above energy strategy to cut carbon pollution, diversify our

  4. Load attenuating passively adaptive wind turbine blade

    DOE Patents [OSTI]

    Veers, Paul S.; Lobitz, Donald W.

    2003-01-01

    A method and apparatus for improving wind turbine performance by alleviating loads and controlling the rotor. The invention employs the use of a passively adaptive blade that senses the wind velocity or rotational speed, and accordingly modifies its aerodynamic configuration. The invention exploits the load mitigation prospects of a blade that twists toward feather as it bends. The invention includes passively adaptive wind turbine rotors or blades with currently preferred power control features. The apparatus is a composite fiber horizontal axis wind-turbine blade, in which a substantial majority of fibers in the blade skin are inclined at angles of between 15 and 30 degrees to the axis of the blade, to produces passive adaptive aeroelastic tailoring (bend-twist coupling) to alleviate loading without unduly jeopardizing performance.

  5. Load attenuating passively adaptive wind turbine blade

    DOE Patents [OSTI]

    Veers, Paul S.; Lobitz, Donald W.

    2003-01-07

    A method and apparatus for improving wind turbine performance by alleviating loads and controlling the rotor. The invention employs the use of a passively adaptive blade that senses the wind velocity or rotational speed, and accordingly modifies its aerodynamic configuration. The invention exploits the load mitigation prospects of a blade that twists toward feather as it bends. The invention includes passively adaptive wind turbine rotors or blades with currently preferred power control features. The apparatus is a composite fiber horizontal axis wind-turbine blade, in which a substantial majority of fibers in the blade skin are inclined at angles of between 15 and 30 degrees to the axis of the blade, to produces passive adaptive aeroelastic tailoring (bend-twist coupling) to alleviate loading without unduly jeopardizing performance.

  6. Wind Vision Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Facility Status In Service Owner Wind Vision Developer Wind Vision Location St. Ansgar IA Coordinates 43.348224, -92.888816 Show Map Loading map... "minzoom":false,"mappings...

  7. Collegiate Wind Competition Wind Tunnel Specifications | Department...

    Office of Environmental Management (EM)

    Competition must design a prototype wind turbine that fits inside the wind tunnel created ... The wire mesh screen prevents turbine pieces from getting sucked into the fan unit. Basic ...

  8. Cherokee Wind

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

    Cherokee Wind Presenter: Carol Wyatt Cherokee Nation Businesses, Inc. DOE Tribal Energy Program October 26, 2010 KA W PA W N EE TO NK AW A PO NC A OT OE -M IS S OU RI CH E RO KE E Acr es: 2,633 .348 CH E RO KE E Acr es: 1,641 .687 CHEROKEE NATION Kay County Chilocco Property DATA SOU RC ES: US Census Bureau (T iger Files ) D OQQ's , USGS D RG's, USGS Cherokee Nation Realty D epartment C herokee N ation GeoD ata C enter Date: 12/19/01 e:\project\land\c hilocc o N E W S Tribal Land Chilocco

  9. Two-speed transaxle

    DOE Patents [OSTI]

    Kalns, Ilmars

    1981-01-01

    Disclosed is a drive assembly (10) for an electrically powered vehicle (12). The assembly includes a transaxle (16) having a two-speed transmission (40) and a drive axle differential (46) disposed in a unitary housing assembly (38), an oil-cooled prime mover or electric motor (14) for driving the transmission input shaft (42), an adapter assembly (24) for supporting the prime mover on the transaxle housing assembly, and a hydraulic system (172) providing pressurized oil flow for cooling and lubricating the electric motor and transaxle and for operating a clutch (84) and a brake (86) in the transmission to shift between the two-speed ratios of the transmission. The adapter assembly allows the prime mover to be supported in several positions on the transaxle housing. The brake is spring-applied and locks the transmission in its low-speed ratio should the hydraulic system fail. The hydraulic system pump is driven by an electric motor (212) independent of the prime mover and transaxle.

  10. WINDExchange: Distributed Wind

    Wind Powering America (EERE)

    Distributed Wind Photo of a small wind turbine next to a farm house with a colorful sunset in the background. The distributed wind market includes wind turbines and projects of many sizes, from small wind turbines less than 1 kilowatt (kW) to multi-megawatt wind farms. The term "distributed wind" describes off-grid or grid-connected wind turbines at homes, farms and ranches, businesses, public and industrial facilities, and other sites. The turbines can provide all of the power used at

  11. NREL: Wind Research - Facilities

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

    support the growth of wind energy development across the United States. National Wind Technology Center Facilities Our facilities are contained within a 305-acre area that...

  12. Small Wind Conference 2015

    Broader source: Energy.gov [DOE]

    The Small Wind Conference brings together small wind installers, site assessors, manufacturers, dealers and distributors, supply chain stakeholders, educators, public benefits program managers, and...

  13. Alaska Wind Update

    Energy Savers [EERE]

    Alaska Wind Update BIA Providers Conference Dec. 2, 2015 Unalakleet wind farm Energy Efficiency First Make homes, workplaces and communities energy efficient thru ...

  14. Articles about Wind Siting

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

    energy.gov Model Examines Cumulative Impacts of Wind Energy Development on the Greater Sage-Grouse http:energy.goveerewindarticlesmodel-examines-cumulative-impacts-wind-ener...

  15. Sandia Energy Wind News

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

    Sandia Wake-Imaging System Successfully Deployed at Scaled Wind Farm Technology Facility http:energy.sandia.govsandia-wake-imaging-system-successfully-deployed-at-scaled-wind-fa...

  16. Wind Turbine Tribology Seminar

    Broader source: Energy.gov [DOE]

    Wind turbine reliability issues are often linked to failures of contacting components, such as bearings, gears, and actuators. Therefore, special consideration to tribological design in wind...

  17. Wind Program: Publications

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

    Resources Publications Advanced Search Browse by Topic Mail Requests Help Energy Basics Wind Energy FAQs Small Wind Systems FAQs Multimedia Related Links Feature featured...

  18. Wind energy bibliography

    SciTech Connect (OSTI)

    1995-05-01

    This bibliography is designed to help the reader search for information on wind energy. The bibliography is intended to help several audiences, including engineers and scientists who may be unfamiliar with a particular aspect of wind energy, university researchers who are interested in this field, manufacturers who want to learn more about specific wind topics, and librarians who provide information to their clients. Topics covered range from the history of wind energy use to advanced wind turbine design. References for wind energy economics, the wind energy resource, and environmental and institutional issues related to wind energy are also included.

  19. Wind | Department of Energy

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

    Wind Wind EERE plays a key role in advancing America's "all of the above" energy strategy, leading a large network of researchers and other partners to deliver innovative ...

  20. Winnebago Tribe - Wind Assessment

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

    Winnebago Tribe of Nebraska Wind Energy Feasibility Project Update November 18, 2008 ... Nebraska 2008 All Rights Reserved DOE Wind Project: Purpose * To initiate a study to ...

  1. Scale Models & Wind Turbines

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

    Turbines * Readings about Cape Wind and other offshore and onshore siting debates for wind farms * Student Worksheet * A number of scale model items: Ken, Barbie or other dolls...

  2. Requirements for Wind Development

    Office of Energy Efficiency and Renewable Energy (EERE)

    In 2015 Oklahoma amended the Oklahoma Wind Energy Development Act. The amendments added new financial security requirements, setback requirements, and notification requirements for wind energy...

  3. DOE Wind Program Update

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

    ... * Testing of residential wind turbines * Technology deployment partnerships with industry * Educational and market outreach on the benefits of wind technology on rural development. ...

  4. Workforce Development Wind Projects

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report covers the Wind and Water Power Technologies Office’s workforce development wind projects from fiscal years 2008 to 2014.

  5. Wind Energy Technology Basics

    K-12 Energy Lesson Plans and Activities Web site (EERE)

    Wind energy technologies use the energy in wind for practical purposes such as generating electricity, charging batteries, pumping water, and grinding grain.

  6. Wind for Schools (Poster)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2010-05-01

    As the United States dramatically expands wind energy deployment, the industry is challenged with developing a skilled workforce and addressing public resistance. Wind Powering America's Wind for Schools project addresses these issues by developing Wind Application Centers (WACs) at universities; WAC students assist in implementing school wind turbines and participate in wind courses, by installing small wind turbines at community "host" schools, by implementing teacher training with interactive curricula at each host school. This poster provides an overview of the first two years of the Wind for Schools project, primarily supporting activities in Colorado, Kansas, Nebraska, South Dakota, Montana, and Idaho.

  7. STATIONARITY IN SOLAR WIND FLOWS

    SciTech Connect (OSTI)

    Perri, S.; Balogh, A. E-mail: a.balogh@imperial.ac.u

    2010-05-01

    By using single-point measurements in space physics it is possible to study a phenomenon only as a function of time. This means that we cannot have direct access to information about spatial variations of a measured quantity. However, the investigation of the properties of turbulence and of related phenomena in the solar wind widely makes use of an approximation frequently adopted in hydrodynamics under certain conditions, the so-called Taylor hypothesis; indeed, the solar wind flow has a bulk velocity along the radial direction which is much higher than the velocity of a single turbulent eddy embedded in the main flow. This implies that the time of evolution of the turbulent features is longer than the transit time of the flow through the spacecraft position, so that the turbulent field can be considered frozen into the solar wind flow. This assumption allows one to easily associate time variations with spatial variations and stationarity to homogeneity. We have investigated, applying criteria for weak stationarity to Ulysses magnetic field data in different solar wind regimes, at which timescale and under which conditions the hypothesis of stationarity, and then of homogeneity, of turbulence in the solar wind is well justified. We extend the conclusions of previous studies by Matthaeus and Goldstein to different parameter ranges in the solar wind. We conclude that the stationarity assumption in the inertial range of turbulence on timescales of 10 minutes to 1 day is reasonably satisfied in fast and uniform solar wind flows, but that in mixed, interacting fast, and slow solar wind streams the assumption is frequently only marginally valid.

  8. Chaninik Wind Group: Harnessing Wind, Building Capacity

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

    Chaninik Wind Group: Harnessing Wind, Building Capacity Installation of Village Energy Information System Smart Grid Controller, Thermal Stoves and Meters to Enhance the Efficiency of Wind- Diesel Hybrid Power Generation in Tribal Regions of Alaska Department of Energy Tribal Energy Program Review November 16-20, 2009 The Chananik Wind Group Our goal is to become the "heartbeat of our region." Department of Energy Tribal Energy Program Review November 16-20, 2009 Department of Energy

  9. Wind Monitoring Report for Fort Wainwright's Donnelly Training Area

    SciTech Connect (OSTI)

    Orrell, Alice C.; Dixon, Douglas R.

    2011-01-18

    Using the wind data collected at a location in Fort Wainwright’s Donnelly Training Area (DTA) near the Cold Regions Test Center (CRTC) test track, Pacific Northwest National Laboratory (PNNL) estimated the gross and net energy productions that proposed turbine models would have produced exposed to the wind resource measured at the meteorological tower (met tower) location during the year of measurement. Calculations are based on the proposed turbine models’ standard atmospheric conditions power curves, the annual average wind speeds, wind shear estimates, and standard industry assumptions.

  10. Wind Vision: Continuing the Success of Wind Energy | Department...

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

    Wind Vision: Continuing the Success of Wind Energy Wind Vision: Continuing the Success of Wind Energy April 2, 2015 - 10:35am Addthis The Wind Vision Report describes potential ...

  11. Hull Wind II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    II Wind Farm Jump to: navigation, search Name Hull Wind II Wind Farm Facility Hull II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Hull...

  12. ARM: 915-MHz Radar Wind Profiler: Wind Moments, operating in...

    Office of Scientific and Technical Information (OSTI)

    915-MHz Radar Wind Profiler: Wind Moments, operating in low power mode Title: ARM: 915-MHz Radar Wind Profiler: Wind Moments, operating in low power mode 915-MHz Radar Wind ...

  13. 41 Offshore Wind Power R&D Projects Receive Energy Department Funding |

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

    Department of Energy 1 Offshore Wind Power R&D Projects Receive Energy Department Funding 41 Offshore Wind Power R&D Projects Receive Energy Department Funding September 7, 2011 - 3:02pm Addthis Department of Energy Awards $43 Million to speed technical innovations, lower costs, and shorten the timeline for deploying offshore wind energy systems. Applicant Location DOE Award Description U.S. Offshore Wind: Technology Development Funding Opportunity Modeling & Analysis Design

  14. Wind resource assessment: San Nicolas Island, California

    SciTech Connect (OSTI)

    McKenna, E.; Olsen, T.L.

    1996-01-01

    San Nicolas Island (SNI) is the site of the Navy Range Instrumentation Test Site which relies on an isolated diesel-powered grid for its energy needs. The island is located in the Pacific Ocean 85 miles southwest of Los Angeles, California and 65 miles south of the Naval Air Weapons Station (NAWS), Point Mugu, California. SNI is situated on the continental shelf at latitude N33{degree}14` and longitude W119{degree}27`. It is approximately 9 miles long and 3.6 miles wide and encompasses an area of 13,370 acres of land owned by the Navy in fee title. Winds on San Nicolas are prevailingly northwest and are strong most of the year. The average wind speed is 7.2 m/s (14 knots) and seasonal variation is small. The windiest months, March through July, have wind speeds averaging 8.2 m/s (16 knots). The least windy months, August through February, have wind speeds averaging 6.2 m/s (12 knots).

  15. Simulating Turbulent Wind Fields for Offshore Turbines in Hurricane-Prone Regions (Poster)

    SciTech Connect (OSTI)

    Guo, Y.; Damiani, R.; Musial, W.

    2014-04-01

    Extreme wind load cases are one of the most important external conditions in the design of offshore wind turbines in hurricane prone regions. Furthermore, in these areas, the increase in load with storm return-period is higher than in extra-tropical regions. However, current standards have limited information on the appropriate models to simulate wind loads from hurricanes. This study investigates turbulent wind models for load analysis of offshore wind turbines subjected to hurricane conditions. Suggested extreme wind models in IEC 61400-3 and API/ABS (a widely-used standard in oil and gas industry) are investigated. The present study further examines the wind turbine response subjected to Hurricane wind loads. Three-dimensional wind simulator, TurbSim, is modified to include the API wind model. Wind fields simulated using IEC and API wind models are used for an offshore wind turbine model established in FAST to calculate turbine loads and response.

  16. Wind Vision | Department of Energy

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

    Wind Vision Introduction U.S. Wind Power Impacts Roadmap Download Wind Vision: A New Era ... Back to top Chapter 4: The Wind Vision Roadmap The Wind Vision includes a detailed roadmap ...

  17. Performance evaluation of stand alone hybrid PV-wind generator

    SciTech Connect (OSTI)

    Nasir, M. N. M.; Saharuddin, N. Z.; Sulaima, M. F.; Jali, Mohd Hafiz; Bukhari, W. M.; Bohari, Z. H.; Yahaya, M. S.

    2015-05-15

    This paper presents the performance evaluation of standalone hybrid system on Photovoltaic (PV)-Wind generator at Faculty of Electrical Engineering (FKE), UTeM. The hybrid PV-Wind in UTeM system is combining wind turbine system with the solar system and the energy capacity of this hybrid system can generate up to charge the battery and supply the LED street lighting load. The purpose of this project is to evaluate the performance of PV-Wind hybrid generator. Solar radiation meter has been used to measure the solar radiation and anemometer has been used to measure the wind speed. The effectiveness of the PV-Wind system is based on the various data that has been collected and compared between them. The result shows that hybrid system has greater reliability. Based on the solar result, the correlation coefficient shows strong relationship between the two variables of radiation and current. The reading output current followed by fluctuate of solar radiation. However, the correlation coefficient is shows moderate relationship between the two variables of wind speed and voltage. Hence, the wind turbine system in FKE show does not operate consistently to produce energy source for this hybrid system compare to PV system. When the wind system does not fully operate due to inconsistent energy source, the other system which is PV will operate and supply the load for equilibrate the extra load demand.

  18. History of Wind Energy | Department of Energy

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

    History of Wind Energy History of Wind Energy

  19. History of Wind Energy | Department of Energy

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

    History of Wind Energy History of Wind Energy

  20. Wind energy resource atlas. Volume 8. The southern Rocky Mountain region

    SciTech Connect (OSTI)

    Andersen, S.R.; Freeman, D.L.; Hadley, D.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-03-01

    The Southern Rocky Mountain atlas assimilates five collections of wind resource data: one for the region and one for each of the four states that compose the Southern Rocky Mountain region (Arizona, Colorado, New Mexico, and Utah). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

  1. High speed flywheel

    DOE Patents [OSTI]

    McGrath, Stephen V.

    1991-01-01

    A flywheel for operation at high speeds utilizes two or more ringlike coments arranged in a spaced concentric relationship for rotation about an axis and an expansion device interposed between the components for accommodating radial growth of the components resulting from flywheel operation. The expansion device engages both of the ringlike components, and the structure of the expansion device ensures that it maintains its engagement with the components. In addition to its expansion-accommodating capacity, the expansion device also maintains flywheel stiffness during flywheel operation.

  2. Observed drag coefficients in high winds in the near offshore of the South China Sea

    SciTech Connect (OSTI)

    Bi, Xueyan; Liu, Yangan; Gao, Zhiqiu; Liu, Feng; Song, Qingtao; Huang, Jian; Huang, Huijun; Mao, Weikang; Liu, Chunxia

    2015-07-14

    This paper investigates the relationships between friction velocity, 10 m drag coefficient, and 10 m wind speed using data collected at two offshore observation towers (one over the sea and the other on an island) from seven typhoon episodes in the South China Sea from 2008 to 2014. The two towers were placed in areas with different water depths along a shore-normal line. The depth of water at the tower over the sea averages about 15 m, and the depth of water near the island is about 10 m. The observed maximum 10 min average wind speed at a height of 10 m is about 32 m s⁻¹. Momentum fluxes derived from three methods (eddy covariance, inertial dissipation, and flux profile) are compared. The momentum fluxes derived from the flux profile method are larger (smaller) over the sea (on the island) than those from the other two methods. The relationship between the 10 m drag coefficient and the 10 m wind speed is examined by use of the data obtained by the eddy covariance method. The drag coefficient first decreases with increasing 10 m wind speed when the wind speeds are 5–10 m s⁻¹, then increases and reaches a peak value of 0.002 around a wind speed of 18 m s⁻¹. The drag coefficient decreases with increasing 10 m wind speed when 10 m wind speeds are 18–27 m s⁻¹. A comparison of the measurements from the two towers shows that the 10 m drag coefficient from the tower in 10 m water depth is about 40% larger than that from the tower in 15 m water depth when the 10 m wind speed is less than 10 m s⁻¹. Above this, the difference in the 10 m drag coefficients of the two towers disappears.

  3. Observed drag coefficients in high winds in the near offshore of the South China Sea

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

    Bi, Xueyan; Liu, Yangan; Gao, Zhiqiu; Liu, Feng; Song, Qingtao; Huang, Jian; Huang, Huijun; Mao, Weikang; Liu, Chunxia

    2015-07-14

    This paper investigates the relationships between friction velocity, 10 m drag coefficient, and 10 m wind speed using data collected at two offshore observation towers (one over the sea and the other on an island) from seven typhoon episodes in the South China Sea from 2008 to 2014. The two towers were placed in areas with different water depths along a shore-normal line. The depth of water at the tower over the sea averages about 15 m, and the depth of water near the island is about 10 m. The observed maximum 10 min average wind speed at a heightmore » of 10 m is about 32 m s⁻¹. Momentum fluxes derived from three methods (eddy covariance, inertial dissipation, and flux profile) are compared. The momentum fluxes derived from the flux profile method are larger (smaller) over the sea (on the island) than those from the other two methods. The relationship between the 10 m drag coefficient and the 10 m wind speed is examined by use of the data obtained by the eddy covariance method. The drag coefficient first decreases with increasing 10 m wind speed when the wind speeds are 5–10 m s⁻¹, then increases and reaches a peak value of 0.002 around a wind speed of 18 m s⁻¹. The drag coefficient decreases with increasing 10 m wind speed when 10 m wind speeds are 18–27 m s⁻¹. A comparison of the measurements from the two towers shows that the 10 m drag coefficient from the tower in 10 m water depth is about 40% larger than that from the tower in 15 m water depth when the 10 m wind speed is less than 10 m s⁻¹. Above this, the difference in the 10 m drag coefficients of the two towers disappears.« less

  4. Observed drag coefficients in high winds in the near offshore of the South China Sea

    SciTech Connect (OSTI)

    Bi, Xueyan; Liu, Yangan; Gao, Zhiqiu; Liu, Feng; Song, Qingtao; Huang, Jian; Huang, Huijun; Mao, Weikang; Liu, Chunxia

    2015-07-14

    This paper investigates the relationships between friction velocity, 10 m drag coefficient, and 10 m wind speed using data collected at two offshore observation towers (one over the sea and the other on an island) from seven typhoon episodes in the South China Sea from 2008 to 2014. The two towers were placed in areas with different water depths along a shore-normal line. The depth of water at the tower over the sea averages about 15 m, and the depth of water near the island is about 10 m. The observed maximum 10 min average wind speed at a height of 10 m is about 32 m s?. Momentum fluxes derived from three methods (eddy covariance, inertial dissipation, and flux profile) are compared. The momentum fluxes derived from the flux profile method are larger (smaller) over the sea (on the island) than those from the other two methods. The relationship between the 10 m drag coefficient and the 10 m wind speed is examined by use of the data obtained by the eddy covariance method. The drag coefficient first decreases with increasing 10 m wind speed when the wind speeds are 510 m s?, then increases and reaches a peak value of 0.002 around a wind speed of 18 m s?. The drag coefficient decreases with increasing 10 m wind speed when 10 m wind speeds are 1827 m s?. A comparison of the measurements from the two towers shows that the 10 m drag coefficient from the tower in 10 m water depth is about 40% larger than that from the tower in 15 m water depth when the 10 m wind speed is less than 10 m s?. Above this, the difference in the 10 m drag coefficients of the two towers disappears.

  5. Energy from the wind

    SciTech Connect (OSTI)

    Not Available

    1987-07-01

    This document provides a brief description of the use of wind power. Windmills from the 18th century are described. Modern wind turbines and wind turbine arrays are discussed. Present and future applications of wind power in the US are explained. (JDH)

  6. Wind Energy Benefits: Slides

    Wind Powering America (EERE)

    1. Wind energy is cost competitive. *Wiser, R.; Bolinger, M. (2015). 2014 Wind Technologies Market Report. U.S. Department of Energy. Wind Energy Benefits Photo from DOE Flickr. 465 020 003 In 2014, the average levelized price of signed wind power purchase agreements was about 2.35 cents per kilowatt-hour. This price is cost competitive with new gas-fired power plants and projects compare favorably through 2040.* 2. Wind energy creates jobs. American Wind Energy Association. (2015). U.S. Wind

  7. New Zealand and Australia wind energy in a non subsidised market environment

    SciTech Connect (OSTI)

    Lieshout, P. van

    1996-12-31

    Significant preliminary work has been undertaken by New Zealand and Australian Power/Generation Companies regarding Wind Power. Turbines are installed in Australia and New Zealand to test the wind and the technical applicability in the Australian wind diesel and the New Zealand high wind speed environment. Projects in Esperance, Thursday Island and King Island illustrate hybrid wind diesel applications. A single Wind Turbine Generator (WTG) has been successfully operated in New Zealand for the last 3 years. A new 3.5 MW wind farm is operational and Resource Consent has been granted for a 65 MW wind farm in New Zealand. Design Power is very proud to be involved in many of the New Zealand and Australian projects. It is obvious that wind power is just starting here, however the start has been promising and it is expected that wind power is here to stay. This paper will address some of the issues associated with wind power in New Zealand and Australia, particularly those that are different from Europe and America. It shows the opportunities and challenges regarding the operation of WTGs in these countries. It addresses the non subsidized electrical pricing structure and the influence of the economically necessary high wind speeds or diesel systems on the choice of technology, particularly the control algorithm of WTGs and the subsystems. It reviews several of the issues associated with predicting the amount of energy that a WTG can generate, again taking into account the high wind speed control algorithms. It further addresses the issue of embedded generation and the influence that a wind farm might have on the electrical network. It continues to address issues associated with wind diesel systems. The paper concludes that wind power will be viable in the near future both in New Zealand and Australia, but also that care should be taken with data analysis and hardware choices during the next phase of implementation of wind power in New Zealand and Australia. 7 figs.

  8. WINDExchange: Collegiate Wind Competition

    Wind Powering America (EERE)

    Education Printable Version Bookmark and Share Workforce Development Collegiate Wind Competition Wind for Schools Project School Project Locations Education & Training Programs Curricula & Teaching Materials Resources Collegiate Wind Competition The U.S. Department of Energy (DOE) Collegiate Wind Competition challenges interdisciplinary teams of undergraduate students from a variety of programs to offer a unique solution to a complex wind energy project. The Competition provides students

  9. WINDExchange: Wind Energy Ordinances

    Wind Powering America (EERE)

    Wind Energy Ordinances Federal, state, and local regulations govern many aspects of wind energy development. The nature of the project and its location will largely drive the levels of regulation required. Wind energy ordinances adopted by counties, towns, and other types of municipalities are one of the best ways for local governments to identify conditions and priorities for all types of wind development. These ordinances regulate aspects of wind projects such as their location, permitting

  10. Wind Power Outlook 2004

    SciTech Connect (OSTI)

    anon.

    2004-01-01

    The brochure, expected to be updated annually, provides the American Wind Energy Association's (AWAE's) up-to-date assessment of the wind industry. It provides a summary of the state of wind power in the U.S., including the challenges and opportunities facing the industry. It provides summary information on the growth of the industry, policy-related factors such as the federal wind energy production tax credit status, comparisons with natural gas, and public views on wind energy.

  11. WINDExchange: Offshore 90-Meter Wind Maps and Wind Resource Potential

    Wind Powering America (EERE)

    Offshore 90-Meter Wind Maps and Wind Resource Potential The U.S. Department of Energy provides 90-meter (m) height, high-resolution wind maps and estimates of the total offshore wind potential that would be possible from developing the available offshore areas. The offshore wind resource maps can be used as a guide to identify regions for commercial wind development. A map of the United States showing offshore wind resource. Washington offshore wind map. Oregon offshore wind map. California

  12. Extended cage adjustable speed electric motors and drive packages

    DOE Patents [OSTI]

    Hsu, J.S.

    1999-03-23

    The rotor cage of a motor is extended, a second stator is coupled to this extended rotor cage, and the windings have the same number of poles. The motor torque and speed can be controlled by either injecting energy into or extracting energy out from the rotor cage. The motor produces less harmonics than existing doubly-fed motors. Consequently, a new type of low cost, high efficiency drive is produced. 12 figs.

  13. Extended cage adjustable speed electric motors and drive packages

    DOE Patents [OSTI]

    Hsu, John S.

    1999-01-01

    The rotor cage of a motor is extended, a second stator is coupled to this extended rotor cage, and the windings have the same number of poles. The motor torque and speed can be controlled by either injecting energy into or extracting energy out from the rotor cage. The motor produces less harmonics than existing doubly-fed motors. Consequently, a new type of low cost, high efficiency drive is produced.

  14. Department of Energy Awards $43 Million to Spur Offshore Wind Energy, Wind Program Newsletter, September 2011 Edition (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-09-01

    EERE Wind Program Quarterly Newsletter - September 2011. In September, the U.S. Department of Energy announced that it will award $43 million over the next five years to 41 projects across 20 states to speed technical innovations, lower costs, and shorten the timeline for deploying offshore wind energy systems. The projects will advance wind turbine design tools and hardware, improve information about U.S. offshore wind resources, and accelerate the deployment of offshore wind by reducing market barriers such as supply chain development, transmission and infrastructure. The projects announced in September focus on approaches to advancing offshore technology and removing market barriers to responsible offshore wind energy deployment. Funding is subject to Congressional appropriations.

  15. HIGH SPEED CAMERA

    DOE Patents [OSTI]

    Rogers, B.T. Jr.; Davis, W.C.

    1957-12-17

    This patent relates to high speed cameras having resolution times of less than one-tenth microseconds suitable for filming distinct sequences of a very fast event such as an explosion. This camera consists of a rotating mirror with reflecting surfaces on both sides, a narrow mirror acting as a slit in a focal plane shutter, various other mirror and lens systems as well as an innage recording surface. The combination of the rotating mirrors and the slit mirror causes discrete, narrow, separate pictures to fall upon the film plane, thereby forming a moving image increment of the photographed event. Placing a reflecting surface on each side of the rotating mirror cancels the image velocity that one side of the rotating mirror would impart, so as a camera having this short a resolution time is thereby possible.

  16. National Wind Assessments formerly Romuld Wind Consulting | Open...

    Open Energy Info (EERE)

    Assessments formerly Romuld Wind Consulting Jump to: navigation, search Name: National Wind Assessments (formerly Romuld Wind Consulting) Place: Minneapolis, Minnesota Zip: 55416...

  17. Sinomatech Wind Power Blade aka Sinoma Science Technology Wind...

    Open Energy Info (EERE)

    Sinomatech Wind Power Blade aka Sinoma Science Technology Wind Turbine Blade Co Ltd Jump to: navigation, search Name: Sinomatech Wind Power Blade (aka Sinoma Science & Technology...

  18. Scaled Wind Farm Technology (SWIFT) Facility Wind Turbine Controller...

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

    (SWIFT) Facility Wind Turbine Controller Ground Testing - Sandia Energy Energy Search Icon ... Scaled Wind Farm Technology (SWIFT) Facility Wind Turbine Controller Ground Testing Home...

  19. Aleutian Pribilof Islands Wind Energy Feasibility Study

    SciTech Connect (OSTI)

    Bruce A. Wright

    2012-03-27

    Under this project, the Aleutian Pribilof Islands Association (APIA) conducted wind feasibility studies for Adak, False Pass, Nikolski, Sand Point and St. George. The DOE funds were also be used to continue APIA's role as project coordinator, to expand the communication network quality between all participants and with other wind interest groups in the state and to provide continued education and training opportunities for regional participants. This DOE project began 09/01/2005. We completed the economic and technical feasibility studies for Adak. These were funded by the Alaska Energy Authority. Both wind and hydro appear to be viable renewable energy options for Adak. In False Pass the wind resource is generally good but the site has high turbulence. This would require special care with turbine selection and operations. False Pass may be more suitable for a tidal project. APIA is funded to complete a False Pass tidal feasibility study in 2012. Nikolski has superb potential for wind power development with Class 7 wind power density, moderate wind shear, bi-directional winds and low turbulence. APIA secured nearly $1M from the United States Department of Agriculture Rural Utilities Service Assistance to Rural Communities with Extremely High Energy Costs to install a 65kW wind turbine. The measured average power density and wind speed at Sand Point measured at 20m (66ft), are 424 W/m2 and 6.7 m/s (14.9 mph) respectively. Two 500kW Vestas turbines were installed and when fully integrated in 2012 are expected to provide a cost effective and clean source of electricity, reduce overall diesel fuel consumption estimated at 130,000 gallons/year and decrease air emissions associated with the consumption of diesel fuel. St. George Island has a Class 7 wind resource, which is superior for wind power development. The current strategy, led by Alaska Energy Authority, is to upgrade the St. George electrical distribution system and power plant. Avian studies in Nikolski and

  20. Chaninik Wind Group Wind Heat Smart Grid

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

    Chaninik Wind Group Wind Heat Smart Grid Our Presentation * William Igkurak, President Chaninik Wind Group * the harness renewables to lower energy costs, * create economic opportunities * build human capacity * Dennis Meiners * Principal Intelligent Energy Systems, Anchorage Ak. * How it all works Program Highlights ²Award Tribal Energy funding 2009, Village Smart Grid ²Received funds November 2010 ²Project to be complete June 2011 ²Theme: "communities working together we can become

  1. Distributed Wind | Department of Energy

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

    Distributed Wind Distributed Wind The Wind Program's activities in wind technologies in distributed applications-or distributed wind-address the performance and reliability challenges associated with smaller turbines by focusing on technology development, testing, certification, and manufacturing. What is Distributed Wind? Photo of a turbine behind a school. The Wind Program defines distributed wind in terms of technology application, based on a wind plant's location relative to end-use and

  2. Turbine Inflow Characterization at the National Wind Technology Center

    SciTech Connect (OSTI)

    Clifton, A.; Schreck, S.; Scott, G.; Kelley, N.; Lundquist, J. K.

    2012-01-01

    Utility-scale wind turbines operate in dynamic flows that can vary significantly over timescales from less than a second to several years. To better understand the inflow to utility-scale turbines, two inflow towers were installed and commissioned at the National Renewable Energy Laboratory's (NREL) National Wind Technology Center near Boulder, Colorado, in 2011. These towers are 135 m tall and instrumented with a combination of sonic anemometers, cup anemometers, wind vanes, and temperature measurements to characterize the inflow wind speed and direction, turbulence, stability and thermal stratification to two utility-scale turbines. Herein, we present variations in mean and turbulent wind parameters with height, atmospheric stability, and as a function of wind direction that could be important for turbine operation as well as persistence of turbine wakes. Wind speed, turbulence intensity, and dissipation are all factors that affect turbine performance. Our results show that these all vary with height across the rotor disk, demonstrating the importance of measuring atmospheric conditions that influence wind turbine performance at multiple heights in the rotor disk, rather than relying on extrapolation from lower levels.

  3. Turbine Inflow Characterization at the National Wind Technology Center: Preprint

    SciTech Connect (OSTI)

    Clifton, A.; Schreck, S.; Scott, G.; Kelley, N.; Lundquist, J.

    2012-01-01

    Utility-scale wind turbines operate in dynamic flows that can vary significantly over timescales from less than a second to several years. To better understand the inflow to utility-scale turbines, two inflow towers were installed and commissioned at the National Renewable Energy Laboratory's (NREL) National Wind Technology Center near Boulder, Colorado, in 2011. These towers are 135 m tall and instrumented with a combination of sonic anemometers, cup anemometers, wind vanes, and temperature measurements to characterize the inflow wind speed and direction, turbulence, stability and thermal stratification to two utility-scale turbines. Herein, we present variations in mean and turbulent wind parameters with height, atmospheric stability, and as a function of wind direction that could be important for turbine operation as well as persistence of turbine wakes. Wind speed, turbulence intensity, and dissipation are all factors that affect turbine performance. Our results shown that these all vary with height across the rotor disk, demonstrating the importance of measuring atmospheric conditions that influence wind turbine performance at multiple heights in the rotor disk, rather than relying on extrapolation from lower levels.

  4. Palmetto Wind Research Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Research Project Jump to: navigation, search Name Palmetto Wind Research Project Facility Palmetto Wind Research Project Sector Wind energy Facility Type Offshore Wind...

  5. Tillamook Offshore Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Tillamook Offshore Wind Farm Jump to: navigation, search Name Tillamook Offshore Wind Farm Facility Tillamook Offshore Wind Farm Sector Wind energy Facility Type Offshore Wind...

  6. Deepwater Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Name Deepwater Wind Farm Facility Deepwater Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner PSEG Renewable Generation Deepwater Wind...

  7. Galveston Offshore Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Galveston Offshore Wind Farm Jump to: navigation, search Name Galveston Offshore Wind Farm Facility Galveston Offshore Wind Farm Sector Wind energy Facility Type Offshore Wind...

  8. Kansas/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Kansas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  9. Idaho/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Idaho Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  10. Nevada/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Nevada Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  11. Iowa/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Iowa Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  12. Small Wind Guidebook | Open Energy Information

    Open Energy Info (EERE)

    Home >> Wind >> Small Wind Guidebook WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  13. Maine/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Maine Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  14. Hawaii/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Hawaii Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  15. Oregon/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Oregon Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  16. Alaska/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Alaska Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  17. Montfort Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Montfort Wind Farm Jump to: navigation, search Name Montfort Wind Farm Facility Montfort Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  18. Gray County Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Gray County Wind Farm Jump to: navigation, search Name Gray County Wind Farm Facility Gray County Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status...

  19. Hopkins Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name Hopkins Ridge Wind Farm Facility Hopkins Ridge Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  20. Wildcat 1 Wind Project | Open Energy Information

    Open Energy Info (EERE)

    Wildcat 1 Wind Project Jump to: navigation, search Name Wildcat 1 Wind Project Facility Wildcat 1 Wind Project Sector Wind energy Facility Type Commercial Scale Wind Facility...

  1. Springview II Wind Project | Open Energy Information

    Open Energy Info (EERE)

    Springview II Wind Project Jump to: navigation, search Name Springview II Wind Project Facility Springview II Wind Project Sector Wind energy Facility Type Commercial Scale Wind...

  2. Shiloh Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Power Project Jump to: navigation, search Name Shiloh Wind Power Project Facility Shiloh Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility...

  3. Fenton Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Power Project Jump to: navigation, search Name Fenton Wind Power Project Facility Fenton Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility...

  4. Madison Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Power Project Jump to: navigation, search Name Madison Wind Power Project Facility Madison Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility...

  5. Somerset Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Power Project Jump to: navigation, search Name Somerset Wind Power Project Facility Somerset Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility...

  6. Desert Wind Power | Open Energy Information

    Open Energy Info (EERE)

    Wind Power Jump to: navigation, search Name Desert Wind Power Facility Desert Wind Power Sector Wind energy Facility Type Commercial Scale Wind Facility Status Proposed Developer...

  7. Moraine Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Power Project Jump to: navigation, search Name Moraine Wind Power Project Facility Moraine Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility...

  8. Blue Creek Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Creek Wind Farm Jump to: navigation, search Name Blue Creek Wind Farm Facility Blue Creek Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  9. Tuana Springs Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Springs Wind Farm Jump to: navigation, search Name Tuana Springs Wind Farm Facility Tuana Springs Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status...

  10. Thousand Springs Wind Park | Open Energy Information

    Open Energy Info (EERE)

    Springs Wind Park Jump to: navigation, search Name Thousand Springs Wind Park Facility Thousand Springs Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility...

  11. Red Canyon Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Canyon Wind Farm Jump to: navigation, search Name Red Canyon Wind Farm Facility Red Canyon Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  12. Shane Cowell Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Shane Cowell Wind Farm Jump to: navigation, search Name Shane Cowell Wind Farm Facility Shane Cowell Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  13. Antelope Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Antelope Ridge Wind Farm Jump to: navigation, search Name Antelope Ridge Wind Farm Facility Antelope Ridge Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  14. Locust Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Locust Ridge Wind Farm Jump to: navigation, search Name Locust Ridge Wind Farm Facility Locust Ridge Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  15. Rosiere Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Rosiere Wind Farm Jump to: navigation, search Name Rosiere Wind Farm Facility Rosiere Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  16. Paynes Ferry Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Paynes Ferry Wind Farm Jump to: navigation, search Name Paynes Ferry Wind Farm Facility Paynes Ferry Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  17. Marengo Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Marengo Wind Farm Jump to: navigation, search Name Marengo Wind Farm Facility Marengo Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  18. Stoney Corners Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Stoney Corners Wind Farm Jump to: navigation, search Name Stoney Corners Wind Farm Facility Stoney Corners Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  19. Marshall Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Marshall Wind Farm Jump to: navigation, search Name Marshall Wind Farm Facility Marshall Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  20. Laredo Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Laredo Ridge Wind Farm Jump to: navigation, search Name Laredo Ridge Wind Farm Facility Laredo Ridge Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  1. Nine Canyon Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Nine Canyon Wind Farm Jump to: navigation, search Name Nine Canyon Wind Farm Facility Nine Canyon Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status...

  2. Casper Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Casper Wind Farm Jump to: navigation, search Name Casper Wind Farm Facility Casper Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  3. Wallys Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wallys Wind Farm Jump to: navigation, search Name Wallys Wind Farm Facility Wallys Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  4. Cassia Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Cassia Wind Farm Jump to: navigation, search Name Cassia Wind Farm Facility Cassia Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  5. Hatchet Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Hatchet Ridge Wind Farm Jump to: navigation, search Name Hatchet Ridge Wind Farm Facility Hatchet Ridge Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  6. Cedar Point Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Cedar Point Wind Farm Jump to: navigation, search Name Cedar Point Wind Farm Facility Cedar Point Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status...

  7. Allegheny Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Allegheny Ridge Wind Farm Jump to: navigation, search Name Allegheny Ridge Wind Farm Facility Allegheny Ridge wind farm Sector Wind energy Facility Type Commercial Scale Wind...

  8. Greensburg Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Greensburg Wind Farm Jump to: navigation, search Name Greensburg Wind Farm Facility Greensburg Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  9. Wheatfield Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wheatfield Wind Farm Jump to: navigation, search Name Wheatfield Wind Farm Facility Wheatfield Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  10. Ewington Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Ewington Wind Farm Jump to: navigation, search Name Ewington Wind Farm Facility Ewington Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  11. Uilk Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Uilk Wind Farm Jump to: navigation, search Name Uilk Wind Farm Facility Uilk Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer...

  12. Octotillo Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Octotillo Wind Farm Jump to: navigation, search Name Octotillo Wind Farm Facility Octotillo Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  13. First State Marine Wind | Open Energy Information

    Open Energy Info (EERE)

    State Marine Wind Jump to: navigation, search Name First State Marine Wind Facility First State Marine Wind Sector Wind energy Facility Type Offshore Wind Facility Status Proposed...

  14. Minco Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Center Jump to: navigation, search Name Minco Wind Energy Center Facility Minco Wind Energy Center Sector Wind energy Facility Type Commercial Scale Wind Facility...

  15. Dunlap Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    Dunlap Wind Energy Project Jump to: navigation, search Name Dunlap Wind Energy Project Facility Dunlap Wind Energy Project Sector Wind energy Facility Type Commercial Scale Wind...

  16. Baseline Wind Energy Facility | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Facility Jump to: navigation, search Name Baseline Wind Energy Facility Facility Baseline Wind Energy Facility Sector Wind energy Facility Type Commercial Scale Wind...

  17. Howard Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Project Jump to: navigation, search Name Howard Wind Energy Project Facility Howard Wind Energy Project Sector Wind energy Facility Type Community Wind Facility Status...

  18. Cape Wind Project | Open Energy Information

    Open Energy Info (EERE)

    Project Jump to: navigation, search Name Cape Wind Project Facility Cape Wind Sector Wind energy Facility Type Offshore wind Facility Status Proposed Owner Cape Wind Developer Cape...

  19. Wales Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    Wales Wind Energy Project Jump to: navigation, search Name Wales Wind Energy Project Facility Wales Wind Energy Project Sector Wind energy Facility Type Small Scale Wind Facility...

  20. Wyoming Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Center Jump to: navigation, search Name Wyoming Wind Energy Center Facility Wyoming Wind Energy Center Sector Wind energy Facility Type Commercial Scale Wind Facility...

  1. Vantage Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Center Jump to: navigation, search Name Vantage Wind Energy Center Facility Vantage Wind Energy Center Sector Wind energy Facility Type Commercial Scale Wind Facility...

  2. Bayonne Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    Bayonne Wind Energy Project Jump to: navigation, search Name Bayonne Wind Energy Project Facility Bayonne Wind Energy Project Sector Wind energy Facility Type Community Wind...

  3. Gary Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    Gary Wind Energy Project Jump to: navigation, search Name Gary Wind Energy Project Facility Gary Wind Energy Project Sector Wind energy Facility Type Small Scale Wind Facility...

  4. Havoco Wind Energy LLC | Open Energy Information

    Open Energy Info (EERE)

    Havoco Wind Energy LLC Jump to: navigation, search Name: Havoco Wind Energy LLC Place: Dallas, Texas Zip: 75206 Sector: Wind energy Product: Wind developer of Altamont Pass wind...

  5. Oliver Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Center Jump to: navigation, search Name Oliver Wind Energy Center Facility Oliver Wind Energy Center Sector Wind energy Facility Type Commercial Scale Wind Facility...

  6. Don Sneve Wind Project | Open Energy Information

    Open Energy Info (EERE)

    Sneve Wind Project Jump to: navigation, search Name Don Sneve Wind Project Facility Don Sneve Wind Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  7. Green Mountain Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name Green Mountain Wind Farm Facility Green Mountain Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  8. Spring Canyon Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Spring Canyon Wind Farm Jump to: navigation, search Name Spring Canyon Wind Farm Facility Spring Canyon Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  9. Flat Water Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Water Wind Farm Jump to: navigation, search Name Flat Water Wind Farm Facility Flat Water Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  10. Condon Wind Project | Open Energy Information

    Open Energy Info (EERE)

    Condon Wind Project Jump to: navigation, search Name Condon Wind Project Facility Condon Wind Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  11. Turkey Track Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Track Wind Farm Jump to: navigation, search Name Turkey Track Wind Farm Facility Turkey Track Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  12. Luther College Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Luther College Wind Turbine Jump to: navigation, search Name Luther College Wind Turbine Facility Luther College Wind Turbine Sector Wind energy Facility Type Community Wind...

  13. Williams Stone Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Stone Wind Turbine Jump to: navigation, search Name Williams Stone Wind Turbine Facility Williams Stone Wind Turbine Sector Wind energy Facility Type Community Wind Facility Status...

  14. Portsmouth Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Wind Turbine Jump to: navigation, search Name Portsmouth Wind Turbine Facility Portsmouth Wind Turbine Sector Wind energy Facility Type Community Wind Facility Status In Service...

  15. Charlestown Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Charlestown Wind Turbine Jump to: navigation, search Name Charlestown Wind Turbine Facility Charlestown Wind Turbine Sector Wind energy Facility Type Commercial Scale Wind Facility...

  16. Fenner Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Power Project Jump to: navigation, search Name Fenner Wind Power Project Facility Fenner Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility...

  17. Adams Wind Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Project Jump to: navigation, search Name Adams Wind Project Facility Adams Wind Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  18. Olsen Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Olsen Wind Farm Jump to: navigation, search Name Olsen Wind Farm Facility Olsen Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  19. Spanish Fork Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Fork Wind Farm Jump to: navigation, search Name Spanish Fork Wind Farm Facility Spanish Fork Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  20. Sigel Wind Park | Open Energy Information

    Open Energy Info (EERE)

    Sigel Wind Park Jump to: navigation, search Name Sigel Wind Park Facility Sigel Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  1. Minden Wind Park | Open Energy Information

    Open Energy Info (EERE)

    Minden Wind Park Jump to: navigation, search Name Minden Wind Park Facility Minden Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  2. Fossil Gulch Wind Park | Open Energy Information

    Open Energy Info (EERE)

    Gulch Wind Park Jump to: navigation, search Name Fossil Gulch Wind Park Facility Fossil Gulch Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  3. Criterion Wind Park | Open Energy Information

    Open Energy Info (EERE)

    Criterion Wind Park Jump to: navigation, search Name Criterion Wind Park Facility Criterion Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  4. Golden Valley Wind Park | Open Energy Information

    Open Energy Info (EERE)

    Wind Park Jump to: navigation, search Name Golden Valley Wind Park Facility Golden Valley Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  5. Gulf Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name Gulf Wind Farm Facility Gulf Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Pattern Energy...

  6. Stetson Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Farm Jump to: navigation, search Name Stetson Wind Farm Facility Stetson Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  7. Zirbel Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search Name Zirbel Wind Farm Facility Zirbel Wind Farm (Glenmore Wind Energy Facility) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  8. Beebe Community Wind | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Name Beebe Community Wind Facility Beebe Community Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Exelon Wind...

  9. Woodstock Municipal Wind | Open Energy Information

    Open Energy Info (EERE)

    search Name Woodstock Municipal Wind Facility Woodstock Municipal Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer Juhl Wind...

  10. Winona County Wind | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search Name Winona County Wind Facility Winona County Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Juhl Wind...

  11. Story City Wind | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name Story City Wind Facility Story City Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Hamilton Wind Energy...

  12. Star Point Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Point Wind Farm Jump to: navigation, search Name Star Point Wind Farm Facility Star Point Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  13. Analyzing Effects of Turbulence on Power Generation Using Wind Plant Monitoring Data: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Chowdhury, S.; Hodge, B. M.

    2014-01-01

    In this paper, a methodology is developed to analyze how ambient and wake turbulence affects the power generation of a single wind turbine within an array of turbines. Using monitoring data from a wind power plant, we selected two sets of wind and power data for turbines on the edge of the wind plant that resemble (i) an out-of-wake scenario (i.e., when the turbine directly faces incoming winds) and (ii) an in-wake scenario (i.e., when the turbine is under the wake of other turbines). For each set of data, two surrogate models were then developed to represent the turbine power generation (i) as a function of the wind speed; and (ii) as a function of the wind speed and turbulence intensity. Support vector regression was adopted for the development of the surrogate models. Three types of uncertainties in the turbine power generation were also investigated: (i) the uncertainty in power generation with respect to the published/reported power curve, (ii) the uncertainty in power generation with respect to the estimated power response that accounts for only mean wind speed; and (iii) the uncertainty in power generation with respect to the estimated power response that accounts for both mean wind speed and turbulence intensity. Results show that (i) under the same wind conditions, the turbine generates different power between the in-wake and out-of-wake scenarios, (ii) a turbine generally produces more power under the in-wake scenario than under the out-of-wake scenario, (iii) the power generation is sensitive to turbulence intensity even when the wind speed is greater than the turbine rated speed, and (iv) there is relatively more uncertainty in the power generation under the in-wake scenario than under the out-of-wake scenario.

  14. Laminar flame speeds of moist syngas mixtures

    SciTech Connect (OSTI)

    Das, Apurba K. [Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH 44106 (United States); Kumar, Kamal; Sung, Chih-Jen [Department of Mechanical Engineering, University of Connecticut, Storrs, CT 06269 (United States)

    2011-02-15

    This work experimentally investigates the effect of the presence of water vapor on the laminar flame speeds of moist syngas/air mixtures using the counterflow twin-flame configuration. The experimental results presented here are for fuel lean syngas mixtures with molar percentage of hydrogen in the hydrogen and carbon monoxide mixture varying from 5% to 100%, for an unburned mixture temperature of 323 K, and under atmospheric pressure. At a given equivalence ratio, the effect of varying amount of water vapor addition on the measured laminar flame speed is demonstrated. The experimental laminar flame speeds are also compared with computed values using chemical kinetic mechanisms reported in the literature. It is found that laminar flame speed varies non-monotonically with addition of water for the carbon monoxide rich mixtures. It first increases with increasing amount of water addition, reaches a maximum value, and then decreases. An integrated reaction path analysis is further conducted to understand the controlling mechanism responsible for the non-monotonic variation in laminar flame speed due to water addition. On the other hand, for higher values of H{sub 2}/CO ratio the laminar flame speed monotonically decreases with increasing water addition. It is shown that the competition between the chemical and thermal effects of water addition leads to the observed response. Furthermore, reaction rate sensitivity analysis as well as binary diffusion coefficient sensitivity analysis are conducted to identify the possible sources of discrepancy between the experimental and predicted values. The sensitivity results indicate that the reaction rate constant of H{sub 2}+OH = H{sub 2}O+H is worth revisiting and refinement of binary diffusion coefficient data of N{sub 2}-H{sub 2}O, N{sub 2}-H{sub 2}, and H{sub 2}-H{sub 2}O pairs can be considered. (author)

  15. Wind Power (pbl/generation)

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

    Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Wind Power (Updated June 16, 2014) Project Descriptions Foote Creek I Wind Project (Carbon...

  16. AWEA Wind Energy Fall Symposium

    Broader source: Energy.gov [DOE]

    The AWEA Wind Energy Fall Symposium gathers wind energy professionals for informal yet productive interactions with industry peers. Jose Zayas, Director, Wind & Water Power Technologies Office,...

  17. Modular Wind | Open Energy Information

    Open Energy Info (EERE)

    Signal Hill, California Sector: Wind energy Product: California-based wind turbine blade designer in stealth mode. References: Modular Wind1 This article is a stub. You can...

  18. Wind 7 | Open Energy Information

    Open Energy Info (EERE)

    Name: Wind 7 Place: Eckernfoerde, Schleswig-Holstein, Germany Zip: 24340 Sector: Wind energy Product: Eckernfoerde-based company that develops & operates wind power projects in...

  19. Observation Targeting for the Tehachapi Pass and Mid-Columbia Basin: WindSENSE Phase III Project Summary Report

    SciTech Connect (OSTI)

    Hanley, D

    2011-10-22

    applied and evaluated for the wind plants in the Tehachapi Pass region for a period during the warm season. That research demonstrated that forecast sensitivity derived from the dataset was characterized by well-defined, localized patterns for a number of state variables such as the 80-m wind and the 25-m to 1-km temperature difference prior to the forecast time. The sensitivity patterns produced as part of the Tehachapi Pass study were coherent and consistent with the basic physical processes that drive wind patterns in the Tehachapi area. In Phase II of the WindSENSE project, the ESA-MOOA approach was extended and applied to the wind plants located in the Mid-Columbia Basin wind generation area of Washington-Oregon during the summer and to the Tehachapi Pass region during the winter. The objective of this study was to identify measurement locations and variables that have the greatest positive impact on the accuracy of wind forecasts in the 0- to 6-hour look-ahead periods for the two regions and to establish a higher level of confidence in ESA-MOOA for mesoscale applications. The detailed methodology and results are provided in separate technical reports listed in the publications section below. Ideally, the data assimilation scheme used in the Phase III experiments would have been based upon an ensemble Kalman filter (EnKF) that was similar to the ESA method used to diagnose the Mid-Columbia Basin sensitivity patterns in the previous studies. However, running an EnKF system at high resolution is impractical because of the very high computational cost. Thus, it was decided to use a three-dimensional variational (3DVAR) analysis scheme that is less computationally intensive. The objective of this task is to develop an observation system deployment strategy for the mid Columbia Basin (i.e. the BPA wind generation region) that is designed to produce the maximum benefit for 1- to 6-hour ahead forecasts of hub-height ({approx}80 m) wind speed with a focus on periods of large

  20. Wind energy information guide

    SciTech Connect (OSTI)

    1996-04-01

    This book is divided into nine chapters. Chapters 1--8 provide background and annotated references on wind energy research, development, and commercialization. Chapter 9 lists additional sources of printed information and relevant organizations. Four indices provide alphabetical access to authors, organizations, computer models and design tools, and subjects. A list of abbreviations and acronyms is also included. Chapter topics include: introduction; economics of using wind energy; wind energy resources; wind turbine design, development, and testing; applications; environmental issues of wind power; institutional issues; and wind energy systems development.

  1. Wind Generator Modeling

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

    Wind Events Wind Events Below is an industry calendar with meetings, conferences, and webinars of interest to the wind energy technology communities. Working in Offshore Wind: Webinar and Panel Discussion September 9, 2016 9:30AM to 11:30AM EDT Energy Department's Wind Industry Update: A WINDExchange Webinar September 21, 2016 3:00PM to 4:00PM EDT AWEA Wind Resource & Project Energy Assessment Conference September 27, 2016 8:00AM CDT to September 28, 2016 5:00PM CDT Energy Department's

  2. Wind Energy Staff

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

    competitive. *Wiser, R.; Bolinger, M. (2015). 2014 Wind Technologies Market Report. U.S. Department of Energy. Wind Energy Benefits Photo from DOE Flickr. 465 020 003 In 2014, the average levelized price of signed wind power purchase agreements was about 2.35 cents per kilowatt-hour. This price is cost competitive with new gas-fired power plants and projects compare favorably through 2040.* 2. Wind energy creates jobs. American Wind Energy Association. (2015). U.S. Wind Energy Annual Market

  3. Wind Power Career Chat

    SciTech Connect (OSTI)

    L. Flowers

    2011-01-01

    This document will teach students about careers in the wind energy industry. Wind energy, both land-based and offshore, is expected to provide thousands of new jobs in the next several decades. Wind energy companies are growing rapidly to meet America's demand for clean, renewable, and domestic energy. These companies need skilled professionals. Wind power careers will require educated people from a variety of areas. Trained and qualified workers manufacture, construct, operate, and manage wind energy facilities. The nation will also need skilled researchers, scientists, and engineers to plan and develop the next generation of wind energy technologies.

  4. Description of the Columbia Basin Wind Energy Study (CBWES)

    SciTech Connect (OSTI)

    Berg, Larry K.; Pekour, Mikhail S.; Nelson, Danny A.

    2012-10-01

    The purpose of this Technical Report is to provide background information about the Columbia Basin Wind Energy Study (CBWES). This study, which was supported by the U.S. Department of Energy’s Wind and Water Power Program, was conducted from 16 November 2010 through 21 March 2012 at a field site in northeastern Oregon. The primary goal of the study was to provide profiles of wind speed and wind direction over the depth of the boundary layer in an operating wind farm located in an area of complex terrain. Measurements from propeller and vane anemometers mounted on a 62 m tall tower, Doppler Sodar, and Radar Wind Profiler were combined into a single data product to provide the best estimate of the winds above the site during the first part of CBWES. An additional goal of the study was to provide measurements of Turbulence Kinetic Energy (TKE) near the surface. To address this specific goal, sonic anemometers were mounted at two heights on the 62 m tower on 23 April 2011. Prior to the deployment of the sonic anemometers on the tall tower, a single sonic anemometer was deployed on a short tower 3.1 m tall that was located just to the south of the radar wind profiler. Data from the radar wind profiler, as well as the wind profile data product are available from the Atmospheric Radiation Measurements (ARM) Data Archive (http://www.arm.gov/data/campaigns). Data from the sonic anemometers are available from the authors.

  5. The solar wind neon abundance observed with ACE/SWICS and ULYSSES/SWICS

    SciTech Connect (OSTI)

    Shearer, Paul; Raines, Jim M.; Lepri, Susan T.; Thomas, Jonathan W.; Gilbert, Jason A.; Landi, Enrico; Zurbuchen, Thomas H.; Von Steiger, Rudolf

    2014-07-01

    Using in situ ion spectrometry data from ACE/SWICS, we determine the solar wind Ne/O elemental abundance ratio and examine its dependence on wind speed and evolution with the solar cycle. We find that Ne/O is inversely correlated with wind speed, is nearly constant in the fast wind, and correlates strongly with solar activity in the slow wind. In fast wind streams with speeds above 600 km s{sup 1}, we find Ne/O = 0.10 0.02, in good agreement with the extensive polar observations by Ulysses/SWICS. In slow wind streams with speeds below 400 km s{sup 1}, Ne/O ranges from a low of 0.12 0.02 at solar maximum to a high of 0.17 0.03 at solar minimum. These measurements place new and significant empirical constraints on the fractionation mechanisms governing solar wind composition and have implications for the coronal and photospheric abundances of neon and oxygen. The results are made possible by a new data analysis method that robustly identifies rare elements in the measured ion spectra. The method is also applied to Ulysses/SWICS data, which confirms the ACE observations and extends our view of solar wind neon into the three-dimensional heliosphere.

  6. Evaluation of Single-Doppler Radar Wind Retrievals in Flat and Complex Terrain

    SciTech Connect (OSTI)

    Newsom, Rob K.; Berg, Larry K.; Pekour, Mikhail S.; Fast, Jerome D.; Xu, Qin; Zhang, Pengfei; Yang, Qing; Shaw, William J.; Flaherty, Julia E.

    2014-08-01

    The accuracy of winds derived from NEXRAD level II data is assessed by comparison with independent observations from 915 MHz radar wind profilers. The evaluation is carried out at two locations with very different terrain characteristics. One site is located in an area of complex terrain within the State Line Wind Energy Center in northeast Oregon. The other site is located in an area of flat terrain on the east-central Florida coast. The National Severe Storm Laboratorys 2DVar algorithm is used to retrieve wind fields from the KPDT (Pendleton OR) and KMLB (Melbourne FL) NEXRAD radars. Comparisons between the 2DVar retrievals and the radar profilers were conducted over a period of about 6 months and at multiple height levels at each of the profiler sites. Wind speed correlations at most observation height levels fell in the range from 0.7 to 0.8, indicating that the retrieved winds followed temporal fluctuations in the profiler-observed winds reasonably well. The retrieved winds, however, consistently exhibited slow biases in the range of1 to 2 ms-1. Wind speed difference distributions were broad with standard deviations in the range from 3 to 4 ms-1. Results from the Florida site showed little change in the wind speed correlations and difference standard deviations with altitude between about 300 and 1400 m AGL. Over this same height range, results from the Oregon site showed a monotonic increase in the wind speed correlation and a monotonic decrease in the wind speed difference standard deviation with increasing altitude. The poorest overall agreement occurred at the lowest observable level (~300 m AGL) at the Oregon site, where the effects of the complex terrain were greatest.

  7. EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility...

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

    6: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI EA-1726: Final Environmental ...

  8. Ion-driven instabilities in the solar wind: Wind observations...

    Office of Scientific and Technical Information (OSTI)

    Ion-driven instabilities in the solar wind: Wind observations of 19 March 2005 Citation Details In-Document Search Title: Ion-driven instabilities in the solar wind: Wind ...

  9. EERE 2014 Wind Technologies Market Report Finds Wind Power at...

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

    2014 Wind Technologies Market Report Finds Wind Power at Record Low Prices EERE 2014 Wind Technologies Market Report Finds Wind Power at Record Low Prices August 10, 2015 - 11:00am ...

  10. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

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

    20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply ...

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

    DOE Patents [OSTI]

    Post, R.F.

    1999-03-16

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

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

    DOE Patents [OSTI]

    Post, Richard F.

    1999-01-01

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

  13. 2008 Wind Energy Projects, Wind Powering America (Poster)

    SciTech Connect (OSTI)

    Not Available

    2009-01-01

    The Wind Powering America program produces a poster at the end of every calendar year that depicts new U.S. wind energy projects. The 2008 poster includes the following projects: Stetson Wind Farm in Maine; Dutch Hill Wind Farm in New York; Grand Ridge Wind Energy Center in Illinois; Hooper Bay, Alaska; Forestburg, South Dakota; Elbow Creek Wind Project in Texas; Glacier Wind Farm in Montana; Wray, Colorado; Smoky Hills Wind Farm in Kansas; Forbes Park Wind Project in Massachusetts; Spanish Fork, Utah; Goodland Wind Farm in Indiana; and the Tatanka Wind Energy Project on the border of North Dakota and South Dakota.

  14. Wind turbine performance under icing conditions

    SciTech Connect (OSTI)

    Jasinski, W.J.; Noe, S.C.; Selig, M.S.; Bragg, M.B.

    1998-02-01

    The effects of rime ice on horizontal axis wind turbine performance were estimated. For typical supercooled fog conditions found in cold northern regions, four rime ice accretions on the S809 wind turbine airfoil were predicted using the NASA LEWICE code. The resulting airfoil/ice profile combinations were wind tunnel tested to obtain the lift, drag, and pitching moment characteristics over the Reynolds number range 1--2 {times} 10{sup 6}. These data were used in the PROPID wind turbine performance prediction code to predict the effects of rime ice on a 450-kW rated-power, 28.7-m diameter turbine operated under both stall-regulated and variable-speed/variable-pitch modes. Performance losses on the order of 20% were observed for the variable-speed/variable-pitch rotor. For the stall-regulated rotor, however, a relatively small rime ice profile yielded significantly larger performance losses. For a larger 0.08c-long rime ice protrusion, however, the rated peak power was exceeded by 16% because at high angles the rime ice shape acted like a leading edge flap, thereby increasing the airfoil C{sub l,max} and delaying stall.

  15. Community Wind Handbook/Conduct a Wind Resource Estimate | Open...

    Open Energy Info (EERE)

    "Windustry. Wind Resource Assessment" "AWS Scientific for the National Renewable Energy Laboratory. Wind Resource Assessment Handbook" Retrieved from "http:...

  16. Collegiate Wind Competition Wind Tunnel Specifications | Department of

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

    Energy Wind Tunnel Specifications Collegiate Wind Competition Wind Tunnel Specifications Collegiate Wind Competition Wind Tunnel Specifications Teams competing in the U.S. Department of Energy Collegiate Wind Competition must design a prototype wind turbine that fits inside the wind tunnel created to test the performance of each team's project. The tunnel has a "draw down" configuration, introduced by the fan, that sucks air through the box. There are two debris filters, one at

  17. Raw Data from National Wind Technology Center M2 Tower (2001...

    Open Energy Info (EERE)

    such as global PSP (Wm2) and meteorological data, such as temperature, pressure, and wind speed and direction (at 2m, 5m, 10m, 20m, 50m, and 80m). Included here is a portion...

  18. doe-sc-arm-15-091 Analysis of the uncertainty in wind measurements...

    Office of Scientific and Technical Information (OSTI)

    ... Oceanic and Atmospheric Administration (NOAA)'s Earth System Research Laboratory (ESRL). ... The comparison is carried out by computing statistics of the wind speed difference aM M ...

  19. See the Wind

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

    ... Engineers are also concerned about wind shear and turbulence as this can cause a great deal of stress on their gearbox and bearings in their turbines. Characterizing Shear and Wind ...

  20. WINDExchange: Learn About Wind

    Wind Powering America (EERE)

    wind turbines in a row at sunset. The sky is varying hues of orange and the sun is halfway past the horizon. Wind power comes in many sizes. Here, several...