National Library of Energy BETA

Sample records for wind speeds puc-public

  1. Texas - PUC - Public Utility Regulatory Act | Open Energy Information

    Open Energy Info (EERE)

    Act (2011). Retrieved from "http:en.openei.orgwindex.php?titleTexas-PUC-PublicUtilityRegulatoryAct&oldid800942" Feedback Contact needs updating Image needs...

  2. 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.

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

    Office of Scientific and Technical Information (OSTI)

    Title: Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution Wind power, a renewable energy source, can play an important role in electrical energy generation. ...

  4. 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...

  5. Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution Citation Details In-Document Search Title: Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution Wind power, a renewable energy source, can play an important role in electrical energy generation. Information regarding wind energy potential is important both for energy related modeling and for decision-making in the policy community. While wind speed datasets with high

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

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

    Observing Wind Speed and Cloudiness 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 Lesson Plans: Observing Wind Speed and Cloudiness Objective The objective is to demonstrate students' skills in observing the atmosphere, specifically in terms of wind speed and cloudiness. Materials Each

  7. 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.

  8. 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...

  9. 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.

  10. 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 our first full-scale prototype wind turbine proved that higher energy can be captured at lower wind speeds with the new Hi-Q Rotor. The Hi-Q Rotor is almost 15% more productive than the Bergey from 6 m/s to 8 m/s, making it ideal in Class 3, 4, and 5 wind sites and has application in the critical and heretofore untapped areas that are closer to cities, 'load centers,' and may even be used directly in urban areas. The additional advantage of the Hi-Q Rotor's non-conventional blade tips, which eliminates most air turbulence, is noise reduction which makes it doubly ideal for populated urban areas. Hi-Q Products recommends one final stage of development to take the Hi-Q Rotor through Technology Readiness Levels 8-9. During this stage of development, the rotor will be redesigned to further increase efficiency, match the rotor to a more suitable generator, and lower the cost of manufacturing by redesigning the structure to allow for production in larger quantities at lower cost. Before taking the rotor to market and commercialization, it is necessary to further optimize the performance by finding a better generator and autofurling system, ones more suitable for lower wind speeds and rpms should be used in all future testing. The potential impact of this fully developed technology will be the expansion and proliferation of energy renewal into the heretofore untapped Class 2, 3, 4, and 5 Wind Sites, or the large underutilized sites where the wind speed is broken by physical features such as mountains, buildings, and trees. Market estimates by 2011, if low wind speed technology can be developed are well above: 13 million homes, 675,000 commercial buildings, 250,000 public facilities. Estimated commercial exploitation of the Hi-Q Rotor show potential increase in U.S. energy gained through the clean, renewable wind energy found in low and very low wind speed sites. This new energy source would greatly impact greenhouse emissions as well as the public sector's growing energy demands.

  11. 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,

  12. 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. ¶

  13. 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....

  14. 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.

  15. 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.

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

    DOE Patents [OSTI]

    Muljadi, Eduard (Golden, CO)

    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.

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

    DOE Patents [OSTI]

    Muljadi, Eduard (Golden, CO)

    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.

  18. 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.

  19. 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.

  20. 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.

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

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

    National Renewable Energy Laboratory Contact NREL About This Technology Technology Marketing Summary Wind energy is increasingly recognized as a viable option for complementing and ...

  2. Flutter Speed Predictions for MW-Sized Wind Turbine Blades Don W. Lobitz

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

    1 Introduction Flutter Speed Predictions for MW-Sized Wind Turbine Blades Don W. Lobitz Sandia National Laboratories* Albuquerque, New Mexico 87185 dwlobit@sandia.gov Classical aeroelastic flutter instability historically has not been a driving issue in wind turbine design. In fact, rarely has this issue even been addressed in the past. Commensurately, of the wind turbines that have been built, rarely has classical flutter ever been observed. However, with the advent of larger turbines fitted

  3. 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...

  4. 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...

  5. 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.

  6. Adaptive pitch control for variable speed wind turbines

    DOE Patents [OSTI]

    Johnson, Kathryn E. (Boulder, CO); Fingersh, Lee Jay (Westminster, CO)

    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.

  7. 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.

  8. 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 wind takes over from buoyancy-driven circulation in transporting moisture from the surface to cloud base, and thereby reduces decoupling and helps maintain LWP. The cloud radiative effect (CRE) responds to changes in LWP and cloud fraction, and higher wind speed translates to a stronger diurnally averaged CRE. However, the sensitivity of the diurnally averaged CRE to wind speed decreases with increasing wind speed.less

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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 incoming wind speeds that could be provided by LIDAR. Non-causal series expansion and Preview Control methods reduce blade root loads but increase tower bending in simulation results. The optimized FIR filter reduces loads overall, keeps pitch rates low, and maintains rotor speed regulation and power capture, while using imperfect wind measurements provided by the spinning continuous-wave LIDAR model.

  15. 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.

  16. 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...

  17. 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.

  18. 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.

  19. NREL: Wind Research - Offshore Wind Research

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

    Standards and Testing NREL's Offshore Wind Testing Capabilities 35 years of wind turbine testing experience Custom high speed data acquisition system integrated for offshore...

  20. 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.

  1. 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...

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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 Integration Energy Systems Integration Wind turbines must withstand powerful aerodynamic forces unlike any other propeller-drive machines. Close NREL's work with industry has improved the efficiency and durability of turbine blades and gearboxes. Innovations include: Specialized airfoils Variable-speed turbines

  7. 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. ...

  8. Wind turbine

    DOE Patents [OSTI]

    Cheney, Jr., Marvin C. (Glastonbury, CT)

    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.

  9. 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...

  10. Wind energy conversion system

    DOE Patents [OSTI]

    Longrigg, Paul (Golden, CO)

    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.

  11. 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

  12. 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 height NREL scientists and engineers are leading efforts in resource mapping, remote sensor measurement and development, and forecasting that are essential for the development of offshore wind. Resource Mapping For more than 15 years, NREL's meteorologists, engineers, and Geographic Information System experts have led the

  13. 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.

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

    SciTech Connect (OSTI)

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

    2015-12-14

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

  15. 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

  16. 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.

  17. 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...

  18. 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 (19902014) 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.

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

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

    ... Hawaii, Alaska, and U.S. territories are handled separately. 3) Gulf of Mexico ... Wind Resource Estimates Annual average wind speeds are closely related to the available ...

  20. 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.

  1. 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

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

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

    Collegiate Wind Competition Wind Tunnel Specifications Collegiate Wind Competition Wind Tunnel Specifications Collegiate Wind Competition Wind Tunnel Specifications Teams competing...

  3. 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.

  4. 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.

  5. Wind Measurements from Arc Scans with Doppler Wind Lidar

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

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

    2015-11-25

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

  6. 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)....

  7. 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.

  8. 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)

  9. 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)

  10. Cherokee Nation Enterprises - Wind Development

    Office of Environmental Management (EM)

    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

  11. 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...

  12. 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

  13. Wind Resource Assessment and Characterization | Department of Energy

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

    Research & Development » Wind 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,

  14. False Pass Wind Resource Report

    Energy Savers [EERE]

    False Pass Wind Resource Report False Pass meteorological tower, view to the east, D. Vaught photo January 27, 2012 Douglas Vaught, P.E. V3 Energy, LLC Eagle River, Alaska D r a f t 1 False Pass Wind Resource Report P a g e | 2 Summary The wind resource as the False Pass met tower site is generally good with measured wind power class 4 by measurement of wind power density (Class 3 if considering only mean annual wind speed). Given the moderately cool temperatures of False Pass test site, air

  15. Aleutian Pribilof Islands Association - Wind Energy Development

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

    ... SAND POINT Population 951 Aleutian Pribilof Islands Association, Inc. Average Annual Wind Speed is 20 mph John Lyons, Justin Godbehere and Art Torres at Sand Point Generating, Inc. ...

  16. Active control system for high speed windmills

    DOE Patents [OSTI]

    Avery, Don E. (45-437 Akimala St., Honolulu, HI 96744)

    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.

  17. Active control system for high speed windmills

    DOE Patents [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.

  18. 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 that is currently achievable in Class 5 winds.

  19. See the Wind | Department of Energy

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

    See the Wind See the Wind Below is information about the student activity/lesson plan from your search. Grades 5-8, 9-12 Subject Wind Energy Summary 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

  20. 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...

  1. 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.

  2. 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...

  3. 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

  4. Wind Gallery | Department of Energy

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

    Gallery Wind Gallery Addthis 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. Nacelle: 5 of 17 Nacelle:

  5. Wind Energy

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

    Wind Energy - CompositeTesting-BNaughton Permalink Gallery New report highlights key composite testing trends for more reliable and lower cost wind blade designs News, Partnership, Publications, Renewable Energy, Research & Capabilities, Wind Energy, Wind News New report highlights key composite testing trends for more reliable and lower cost wind blade designs Sandia National Laboratories recently published "Analysis of SNL/MSU/DOE Fatigue Database Trends for Wind Turbine Blade

  6. 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

  7. 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.

  8. 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).

  9. Wind Turbine Blade Design | Department of Energy

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

    Wind Turbine Blade Design Wind Turbine Blade Design Below is information about the student activity/lesson plan from your search. Grades 5-8, 9-12 Subject Wind Energy Summary 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

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

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

    the facility will help test and validate new turbines, particularly for offshore wind-helping to speed deployment of next generation energy technology, reduce costs for...

  11. Liquid Hydrogen Production and Delivery from a Dedicated Wind...

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

    fuel cell vehiclesday. The hydrogen would be delivered from a region in New Mexico near Albuquerque with high average wind speeds where the hydrogen is produced via electrolysis. ...

  12. Geek-Up[3.25.2011]: Idaho Wind and Chlorosome-Inspired Solar | Department

    Office of Environmental Management (EM)

    of Energy 25.2011]: Idaho Wind and Chlorosome-Inspired Solar Geek-Up[3.25.2011]: Idaho Wind and Chlorosome-Inspired Solar March 25, 2011 - 5:26pm Addthis INL researchers use data from the weather stations to create a 3D mean wind speed map. The scale shows wind speeds in meters per second. | Department of Energy Image | Courtesy of Idaho National Laboratory | Public Domain | INL researchers use data from the weather stations to create a 3D mean wind speed map. The scale shows wind speeds in

  13. 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.

  14. 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

  15. 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

  16. 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.

  17. 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.

  18. 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...

  19. 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...

  20. 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...

  1. Wind Energy

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

    Stationary Power/Energy Conversion Efficiency/Wind Energy - Wind EnergyTara Camacho-Lopez2016-02-16T22:30:00+00:00 Conducting applied research to increase the viability of wind technology by improving wind turbine performance, reliability, and reducing the cost of energy. Advancing the state of knowledge in the areas of materials, structurally efficient airfoil designs, active-flow aerodynamic control, and sensors. Rotor Innovation Advancing rotor technology such that they capture more energy,

  2. 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).

  3. 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.

  4. 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; (2) Updated and improved application guidelines and manuals from associations and manufacturers; (3) Launched certified product installer programs; and (4) Submitted building code changes to improve product installation. Estimated wind speeds at the damage locations came from simulated hurricane models prepared by Applied Research Associates of Raleigh, North Carolina. A dynamic hurricane wind field model was calibrated to actual wind speeds measured at 12 inland and offshore stations. The maximum estimated peak gust wind speeds in Katrina were in the 120-130 mph range. Hurricane Katrina made landfall near Grand Isle, Louisiana, and traveled almost due north across the city of New Orleans. Hurricane winds hammered the coastline from Houma, Louisiana, to Pensacola, Florida. The severe flooding problems in New Orleans made it almost impossible for the investigating teams to function inside the city. Thus the WIP investigations were all conducted in areas east of the city. The six teams covered the coastal areas from Bay Saint Louis, Mississippi, on the west to Pascagoula, Mississippi, on the east. Six teams involving a total of 25 persons documented damage to both low slope and steep slope roofing systems. The teams collected specific information on each building examined, including type of structure (use or occupancy), wall construction, roof type, roof slope, building dimensions, roof deck, insulation, construction, and method of roof attachment. In addition, the teams noted terrain exposure and the estimated wind speeds at the building site from the Katrina wind speed map. With each team member assigned a specific duty, they described the damage in detail and illustrated important features with numerous color photos. Where possible, the points of damage initiation were identified and damage propagation described. Because the wind speeds in Katrina at landfall, where the investigations took place, were less than code-specified design speeds, one would expect roof damage to be minimal. One team speculated that damage to all roofs in the area they examined was les

  5. Coastal Ohio Wind Project

    SciTech Connect (OSTI)

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

    2014-04-04

    The Coastal Ohio Wind Project intends to address problems that impede deployment of wind turbines in the coastal and offshore regions of Northern Ohio. The project evaluates different wind turbine designs and the potential impact of offshore turbines on migratory and resident birds by developing multidisciplinary research, which involves wildlife biology, electrical and mechanical engineering, and geospatial science. Firstly, the project conducts cost and performance studies of two- and three-blade wind turbines using a turbine design suited for the Great Lakes. The numerical studies comprised an analysis and evaluation of the annual energy production of two- and three-blade wind turbines to determine the levelized cost of energy. This task also involved wind tunnel studies of model wind turbines to quantify the wake flow field of upwind and downwind wind turbine-tower arrangements. The experimental work included a study of a scaled model of an offshore wind turbine platform in a water tunnel. The levelized cost of energy work consisted of the development and application of a cost model to predict the cost of energy produced by a wind turbine system placed offshore. The analysis found that a floating two-blade wind turbine presents the most cost effective alternative for the Great Lakes. The load effects studies showed that the two-blade wind turbine model experiences less torque under all IEC Standard design load cases considered. Other load effects did not show this trend and depending on the design load cases, the two-bladed wind turbine showed higher or lower load effects. The experimental studies of the wake were conducted using smoke flow visualization and hot wire anemometry. Flow visualization studies showed that in the downwind turbine configuration the wake flow was insensitive to the presence of the blade and was very similar to that of the tower alone. On the other hand, in the upwind turbine configuration, increasing the rotor blade angle of attack reduced the wake size and enhanced the vortices in the flow downstream of the turbine-tower compared with the tower alone case. Mean and rms velocity distributions from hot wire anemometer data confirmed that in a downwind configuration, the wake of the tower dominates the flow, thus the flow fields of a tower alone and tower-turbine combinations are nearly the same. For the upwind configuration, the mean velocity shows a narrowing of the wake compared with the tower alone case. The downwind configuration wake persisted longer than that of an upwind configuration; however, it was not possible to quantify this difference because of the size limitation of the wind tunnel downstream of the test section. The water tunnel studies demonstrated that the scale model studies could be used to adequately produce accurate motions to model the motions of a wind turbine platform subject to large waves. It was found that the important factors that affect the platform is whether the platform is submerged or surface piercing. In the former, the loads on the platform will be relatively reduced whereas in the latter case, the structure pierces the wave free surface and gains stiffness and stability. The other important element that affects the movement of the platform is depth of the sea in which the wind turbine will be installed. Furthermore, the wildlife biology component evaluated migratory patterns by different monitoring systems consisting of marine radar, thermal IR camera and acoustic recorders. The types of radar used in the project are weather surveillance radar and marine radar. The weather surveillance radar (1988 Doppler), also known as Next Generation Radar (NEXRAD), provides a network of weather stations in the US. Data generated from this network were used to understand general migratory patterns, migratory stopover habitats, and other patterns caused by the effects of weather conditions. At a local scale our marine radar was used to complement the datasets from NEXRAD and to collect additional monitoring parameters such as passage rates, flight paths, flight directions, and flight altitudes of nocturnal migrating species. Our work focused on the design and development of custom built marine radar that used t-bar and parabolic dish antennas. The marine radar used in the project was Furuno (XANK250) which was coupled with a XIR3000B digitizing card from Russell Technologies for collection of the radar data. The radar data was processed by open source radR processing software using different computational techniques and methods. Additional data from thermal IR imaging cameras were collected to detect heat emitted from objects and provide information on movements of birds and bats, data which we used for different animal flight behavior analysis. Lastly, the data from the acoustic recorders were used to provide the number of bird calls for assessing patterns and peak passage rates during migration. The development of the geospatial database included collection of different data sources that are used to support offshore wind turbine development. Many different data sets were collected and organized using initial version of web-based repository software tools that can accommodate distribution of rectified pertinent data sets such as the lake depth, lake bottom engineering parameters, extent of ice, navigation pathways, wind speed, important bird habitats, fish efforts and other layers that are relevant for supporting robust offshore wind turbine developments. Additional geospatial products developed during the project included few different prototypes for offshore wind farm suitability which can involve different stakeholders and participants for solving complex planning problems and building consensus. Some of the prototypes include spatial decision support system (SDSS) for collaborative decision making, a web-based Participatory Geographic Information System (PGIS) framework for evaluating importance of different decision alternatives 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 as fine as 10-minute intervals near turbine height showed that August is the month with the weakest winds while December is the month, which typically has the strongest winds. The ice data suggests that shallow western basin of Lake Erie has higher ice cover duration many times exceeding 90 days during some winters.

  6. 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.

  7. 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 Endurance wind turbine. PIX15006 The Endurance wind turbine. A photo of the Atlantic Orient Corporation 15/50 wind turbine at the National Wind Technology Center. PIX07301 The Atlantic Orient Corporation 15/50 wind turbine at the National Wind Technology Center. NREL supports continued market expansion of small wind

  8. Adjustable Speed Pumping Applications

    Broader source: Energy.gov [DOE]

    This tip sheet provides practical tips on the application of adjustable speed drives in industrial pumping systems.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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...

  14. Algae Raceway to speed path to biofuels

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

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

  15. Offshore Wind

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

    Lab Photovoltaic Systems Evaluation Laboratory PV Regional ... Facility Geomechanics and Drilling Labs National ... Twitter Google + Vimeo GovDelivery SlideShare Offshore Wind ...

  16. 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...

  17. 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.

  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. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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.

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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.

  17. Wind Program Newsletter: Third Quarter 2011 | Department of Energy

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

    1 Wind Program Newsletter: Third Quarter 2011 Department of Energy Awards $43 Million to Spur Offshore Wind Energy In the News Current R&D Funding Opportunities Recent Publications Department of Energy Awards $43 Million to Spur Offshore Wind Energy 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

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

    Energy Savers [EERE]

    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

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

    Office of Environmental Management (EM)

    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;

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

    Office of Environmental Management (EM)

    of Energy NREL 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

  1. 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

  2. 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...

  3. 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.

  4. Top 10 Things You Didn't Know About Wind Power | Department of...

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

    can be over 328 feet tall -- taller than the Statue of Liberty. 7. Higher wind speeds mean more electricity, and wind turbines are getting taller to reach higher heights above ...

  5. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

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

  6. 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.

  7. 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.

  8. Scale Models and Wind Turbines | Department of Energy

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

    Scale Models and Wind Turbines Scale Models and Wind Turbines Below is information about the student activity/lesson plan from your search. Grades 5-8, 9-12 Subject Wind Energy Summary 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

  9. 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

  10. 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.

  11. 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.

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

    Energy Savers [EERE]

    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.

  13. wind turbines

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

    wind 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 Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  14. 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.

  15. 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.}

  16. 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...

  17. 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.

  18. 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

  19. 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,

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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 ...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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...

  19. NREL: Wind Research - International Wind Resource Maps

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

    International Wind Resource Maps NREL is helping to develop high-resolution projections of wind resources worldwide. This allows for more accurate siting of wind turbines and has led to the recognition of higher class winds in areas where none were thought to exist. This page provides access to NREL-developed wind resource maps and atlases for several countries. NREL's wind mapping projects have been supported by the U.S. Department of Energy, U.S. Agency for International Development, and

  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. 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.

  2. 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.

  3. 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....

  4. 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 sites and were thus not very useful in assessing the wind resource at locations that are well exposed to the winds. Ship data were determined to be the most useful for estimating the large-scale wind flow and assessing the spatial distribution of the wind resource throughout the region. Techniques were developed for analyzing and correcting ship wind data and extrapolating these data to coastal and inland areas by considering terrain influences on the large-scale wind flow. In areas where extrapolation of ship wind data was not entirely feasible, such as interior areas of Central America, other techniques were developed for estimating the wind flow and distribution of the wind resource. Through the application of the various innovative techniques developed for assessing the wind resource throughout the Caribbean and Central America region, many areas with potentially good to outstanding wind resource were identified that had not been previously recognized. In areas where existing site data were available from exposed locations, the measured wind resource was compared with the estimated wind resource that was derived using the assessment techniques. In most cases, there was good agreement between the measured wind resource and the estimated wind resource. This assessment project supported activities being pursued by the U.S. Committee for Renewable Energy Commerce and Trade (CORECT), the U.S. government's interagency program to assist in overseas marketing and promote renewable energy exports. An overall goal of the program is to improve U.S. competitiveness in the world renewable energy market. The Caribbean and Central America assessment, which is the first of several possible follow-on international wind energy resource assessments, provides valuable information needed by the U.S. wind energy industry to identify suitable wind resource areas and concentrate their efforts on these areas.

  5. Twin Groves Wind Energy Facility Cut-in Speeds

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

    ... turbines were compared using a one-way analysis of variance (ANOVA) and a Tukey's test. ...turbine, idling turbines 8.1 3.1 batsturbine; ANOVA, F 2, 26 6.34, P 0.006). ...

  6. 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.

  7. 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.

  8. 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).

  9. 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.

  10. 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 Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  11. Wind News

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

    Page 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 Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

  12. 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 Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  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. 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...

  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. 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...

  19. 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...

  20. 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

  1. 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.

  2. 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.

  3. 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...

  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. 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...

  6. 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...

  7. 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...

  8. 20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology...

    Energy Savers [EERE]

    - 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 ...

  9. 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 ...

  10. 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 - ...

  11. Wind Powering America Webinar: Wind Power Economics: Past, Present...

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

    Wind Powering America Webinar: Wind Power Economics: Past, Present, and Future Trends Wind Powering America Webinar: Wind Power Economics: Past, Present, and Future Trends November ...

  12. For Cape Wind, Summer Breeze Makes Offshore Wind Feel Fine |...

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

    For Cape Wind, Summer Breeze Makes Offshore Wind Feel Fine For Cape Wind, Summer Breeze Makes ... one of the world's largest wind farms, the Department's Loan Programs Office ...

  13. 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...

  14. Two-speed transaxle

    DOE Patents [OSTI]

    Kalns, Ilmars (Northville, MI)

    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.

  15. 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.

  16. 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...

  17. 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...

  18. 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:...

  19. 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,...

  20. 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,...

  1. 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 ...

  2. 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...

  3. 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,

  4. Wind Generation on Winnebago Tribal Lands

    SciTech Connect (OSTI)

    Multiple

    2009-09-30

    The Winnebago Wind Energy Study evaluated facility-scale, community-scale and commercial-scale wind development on Winnebago Tribal lands in northeastern Nebraska. The Winnebago Tribe of Nebraska has been pursuing wind development in various forms for nearly ten years. Wind monitoring utilizing loaned met towers from NREL took place during two different periods. From April 2001 to April 2002, a 20-meter met tower monitored wind data at the WinnaVegas Casino on the far eastern edge of the Winnebago reservation in Iowa. In late 2006, a 50-meter tower was installed, and subsequently monitored wind data at the WinnaVegas site from late 2006 through late 2008. Significant challenges with the NREL wind monitoring equipment limited the availability of valid data, but based on the available data, average wind speeds between 13.6 14.3 miles were indicated, reflecting a 2+/3- wind class. Based on the anticipated cost of energy produced by a WinnaVegas wind turbine, and the utility policies and rates in place at this time, a WinnaVegas wind project did not appear to make economic sense. However, if substantial grant funding were available for energy equipment at the casino site, and if either Woodbury REC backup rates were lower, or NIPCO was willing to pay more for wind power, a WinnaVegas wind project could be feasible. With funding remaining in the DOE-funded project budget,a number of other possible wind project locations on the Winnebago reservation were considered. in early 2009, a NPPD-owned met tower was installed at a site identified in the study pursuant to a verbal agreement with NPPD which provided for power from any ultimately developed project on the Western Winnebago site to be sold to NPPD. Results from the first seven months of wind monitoring at the Western Winnebago site were as expected at just over 7 meters per second at 50-meter tower height, reflecting Class 4 wind speeds, adequate for commercial development. If wind data collected in the remaining 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 projects proximity to substations for possible interconnection, a Thunderway community-scale wind project could also be feasible.

  5. 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.

  6. 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. Enlarge image This graphic shows the wind power class at the National Wind Technology Center. You can download a printable copy. The National Wind Technology Center (NWTC) is on the Great Plains just miles from the Rocky Mountains. The site is flat and covered with short grasses. The terrain and lack of obstructions make the

  7. High speed flywheel

    DOE Patents [OSTI]

    McGrath, Stephen V. (Knoxville, TN)

    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.

  8. 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...

  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. 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.

  12. 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.

  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. 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.

  15. 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...

  16. 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.

  17. 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...

  18. 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.

  19. Load attenuating passively adaptive wind turbine blade

    DOE Patents [OSTI]

    Veers, Paul S. (Albuquerque, NM); Lobitz, Donald W. (Albuquerque, NM)

    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.

  20. High speed transient sampler

    DOE Patents [OSTI]

    McEwan, Thomas E. (Livermore, CA)

    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.

  1. 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.

  2. Wind Energy Integration: Slides

    Wind Powering America (EERE)

    provide 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. 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...

  5. 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...

  6. Monitoring bat and bird fatalities at the Casselman Wind Energy Center in Pennsylvania

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

    Effectiveness of Changing Wind Turbine Cut-in Speed to Reduce Bat Fatalities at Wind Facilities 2008 Annual Report Edward B. Arnett and Michael Schirmacher, Bat Conservation International Manuela M. P. Huso Oregon State University John P. Hayes University of Florida Annual Report Prepared for the Bats and Wind Energy Cooperative and the Pennsylvania Game Commission April 2009 REPORT CITATION Arnett, E. B., M. Schirmacher, M. M. P. Huso, and J. P. Hayes. 2009. Effectiveness of changing wind

  7. 41 Offshore Wind Power R&D Projects Receive Energy Department Funding |

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

    Department of Energy 41 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

  8. Hunting Hurricanes...and Data to Help Build Better Offshore Wind Turbines |

    Office of Environmental Management (EM)

    Department of Energy Hunting Hurricanes...and Data to Help Build Better Offshore Wind Turbines Hunting Hurricanes...and Data to Help Build Better Offshore Wind Turbines June 2, 2014 - 12:21pm Addthis Flying high 1 of 4 Flying high P-3 aircraft are used by the National Oceanic and Atmospheric Administration (NOAA) to track the strength, temperature, pressure, and wind speed and direction of hurricanes. This information could be used to develop stronger offshore wind turbines and components,

  9. Cherokee Wind

    Office of Environmental Management (EM)

    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

  10. 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...

  11. 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...

  12. 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.

  13. 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...

  14. Requirements for Wind Development

    Broader source: Energy.gov [DOE]

    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...

  15. 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...

  16. NREL: Wind Research - Publications

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

    Publications The NREL wind research program develops publications about its R&D projects, accomplishments, and goals in wind energy technologies. Here you will find links to some...

  17. 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...

  18. 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

  19. 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...

  20. NREL: Wind Research - News

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

    National Wind Technology Center (NWTC), the country's premier wind energy technology research facility. September 23, 2015 Small Businesses Invited to Participate in DOE National...

  1. 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.

  2. 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...

  3. Wind | Department of Energy

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

    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...

  4. Chaninik Wind Group: Harnessing Wind, Building Capacity

    Office of Environmental Management (EM)

    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

  5. Chaninik Wind Group: Wind Heat Smart Grids

    Office of Environmental Management (EM)

    Systems in Kongiganak, Kwigillingok and Tuntutuliak *95 kW Windmatic wind turbines *Electric Thermal Storage(ETS) devices *Community-wide Smart Metering and Smart Grid control Wind Heat System Components * ETS heat output at high is equivalent to a Toyostove Laser 56 * $.10 per kwh is equivalent to buying diesel at $2.90 per gallon * Current diesel price in Kongiganak: $6.95 per gallon Chaninik Wind Group Wind Heat System SCADA Kongiganak Energy Summary 2013 Example - Kongiganak ETS Fuel

  6. 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).

  7. 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...

  8. Securing Clean, Domestic, Affordable Energy with Wind (Fact Sheet), Wind

    Energy Savers [EERE]

    Program (WP) | Department of Energy Securing Clean, Domestic, Affordable Energy with Wind (Fact Sheet), Wind Program (WP) Securing Clean, Domestic, Affordable Energy with Wind (Fact Sheet), Wind Program (WP) This fact sheet provides a brief description of the Wind Energy Market and describes the U.S. Department of Energy's Wind Program research and development efforts. PDF icon eere_wind_water.pdf More Documents & Publications Wind Program Accomplishments Offshore Wind Projects Wind

  9. 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.

  10. 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.

  11. 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.

  12. Extended cage adjustable speed electric motors and drive packages

    DOE Patents [OSTI]

    Hsu, John S. (Oak Ridge, TN)

    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.

  13. 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.

  14. 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

  15. History of Wind Energy | Department of Energy

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

    History of Wind Energy History of Wind Energy

  16. Offshore Wind Funding | Department of Energy

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

    Offshore Wind Funding Offshore Wind Funding View All Maps Addthis

  17. 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

  18. 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

  19. NREL: Wind Research - Facilities

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

    Facilities Our facilities are designed to meet the wind industry's critical research needs with state-of-the-art design and testing facilities. NREL's unique and highly versatile facilities at the National Wind Technology Center offer research and analysis of wind turbine components and prototypes rated from 400 watts to 3 megawatts. Satellite facilities support the growth of wind energy development across the United States. National Wind Technology Center Facilities Our facilities are contained

  20. 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.

  1. 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; providing each student with

  2. 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

  3. Wind Program: WINDExchange

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

    WINDExchange Printable Version Bookmark and Share A photo of a green pasture with pine trees in the foreground and four wind turbine in the background, as well as two silos and two homes. WINDExchange is the U.S. Department of Energy Wind Program's platform for disseminating credible information about wind energy. The purpose of WINDExchange is to help communities weigh the benefits and costs of wind energy, understand the deployment process, and make wind development decisions supported by the

  4. 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.

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

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

    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

  6. Collegiate Wind Competition Wind Tunnel Specifications | Department of

    Office of Environmental Management (EM)

    Energy Collegiate Wind Competition 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

  7. 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.

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

    DOE Patents [OSTI]

    Post, Richard F. (Walnut Creek, CA)

    1999-01-01

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

  9. 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...

  10. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

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

    Wind Energy's Contribution to U.S. Electricity Supply (Executive Summary) 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply ...

  11. EERE 2014 Wind Technologies Market Report Finds Wind Power at...

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

    ... analyzes the potential for continued wind industry growth in all 50 states, as wind turbines with taller towers and larger rotors make wind economically viable nationwide. ...

  12. 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...

  13. 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 Sand Point have allowed for proper wind turbine siting without killing birds, especially endangered species and bald eagles. APIA continues coordinating and looking for funding opportunities for regional renewable energy projects. An important goal for APIA has been, and will continue to be, to involve community members with renewable energy projects and energy conservation efforts.

  14. 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.

  15. 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.

  16. 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.

  17. 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 shown in these videos, the center's impact is industry-wide, ranging from the creation and testing of award-winning components to helping partners develop the nation's most commercially successful renewable energy technologies. Overview NREL Supports Small Businesses in the Wind and Water Power Sectors Next Generation

  18. Chaninik Wind Group Wind Heat Smart Grid

    Office of Environmental Management (EM)

    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

  19. 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

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  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. 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. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  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. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  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. 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...

  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. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  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. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. Sandia Energy - Sandia Wind Turbine Loads Database

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

    Sandia Wind Turbine Loads Database Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Wind Software Downloads Sandia Wind Turbine Loads Database Sandia Wind...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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.

  11. 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...

  12. 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,...

  13. 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...

  14. DOE Science Showcase - Wind Power

    Office of Scientific and Technical Information (OSTI)

    Wind and Turbine Dynamics Wind Stresses Control, the Power Grid, and the Grids Economics ... Future, Niketa Kumar, DOE Office of Public Affairs National Wind Technology Center, ...

  15. 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...

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

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

    Department of Energy Today, U.S. Deputy Secretary of Energy Daniel Poneman joined with officials from Clemson University to dedicate the nation's largest and one of the world's most advanced wind energy testing facilities in North Charleston, S.C. Led by Clemson University's Restoration Institute, the facility will help test and validate new turbines, particularly for offshore wind-helping to speed deployment of next generation energy technology, reduce costs for manufacturers, and boost

  17. 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.

  18. 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.

  19. 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.

  20. Wind Power Career Chat

    SciTech Connect (OSTI)

    Not Available

    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.

  1. WINDExchange: Potential Wind Capacity

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

    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. Enlarge image This map shows the wind potential at a 110-m height for the United States. Download a printable map. Click on a state to view the wind map for that state. * Grid Granularity = 400 sq km* 35% Gross Capacity

  2. 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...

  3. U.S. Department of Energy Wind and Water Power Program Funding...

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

    ... regions, including the Atlantic, the Gulf of Mexico, the Great Lakes, and the Pacific. ... radar and sodar to measure wind speeds and characteristics in the Upper Midwest and in Texas. ...

  4. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

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

    PDF icon 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply More Documents & Publications 20% Wind Energy by 2030 - Chapter 2: Wind Turbine ...

  5. 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 May 3, 2010 EA-1726: Final ...

  6. 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.

  7. Terrain and Ambient Wind Effects on the Warming Footprint of a Wind Machine

    SciTech Connect (OSTI)

    Mcmeeking, Gavin R.; Whiteman, Charles D.; Powell, Stuart G.; Clements, Craig B.

    2002-05-20

    An experiment in a vineyard in south-central Washington is described in which a vineyard wind machine used for frost protection was turned on and off while monitoring the air temperature in the vineyard. The wind machine fan, with a hub height of 12 m, rotated around a quasi-horizontal axis that was tilted downward into the vineyard at an angle of 6 degrees. The fan also rotated around a vertical axis once every 4 minutes to protect a roughly circular area surrounding the wind machine tower. A temperature inversion of about 3.5 C occurred above the vineyard between the 3-m and hub-height levels during the experiments. The 300-m diameter warming footprint of the fan was displaced down the south-facing 1-2{sup o} slope of the vineyard when the ambient wind speed was low, showing the effect of the weak and shallow nighttime drainage flow that often occurred in the vineyard. When the ambient wind speed increased, the footprint was displaced downwind and downslope of the tower. The mean warming footprint magnitude when the fan was switched on was about 1-2 C, and the temperature excess in the footprint relative to the surroundings dissipated quickly when the fan was switched off.

  8. 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:...

  9. Probability density function characterization for aggregated large-scale wind power based on Weibull mixtures

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

    Gomez-Lazaro, Emilio; Bueso, Maria C.; Kessler, Mathieu; Martin-Martinez, Sergio; Zhang, Jie; Hodge, Bri -Mathias; Molina-Garcia, Angel

    2016-02-02

    Here, the Weibull probability distribution has been widely applied to characterize wind speeds for wind energy resources. Wind power generation modeling is different, however, due in particular to power curve limitations, wind turbine control methods, and transmission system operation requirements. These differences are even greater for aggregated wind power generation in power systems with high wind penetration. Consequently, models based on one-Weibull component can provide poor characterizations for aggregated wind power generation. With this aim, the present paper focuses on discussing Weibull mixtures to characterize the probability density function (PDF) for aggregated wind power generation. PDFs of wind power datamore » are firstly classified attending to hourly and seasonal patterns. The selection of the number of components in the mixture is analyzed through two well-known different criteria: the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). Finally, the optimal number of Weibull components for maximum likelihood is explored for the defined patterns, including the estimated weight, scale, and shape parameters. Results show that multi-Weibull models are more suitable to characterize aggregated wind power data due to the impact of distributed generation, variety of wind speed values and wind power curtailment.« less

  10. NREL: Wind Research - Events

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

    Events Below are upcoming events related to wind energy technology. December 2015 Wind and Water Power Small Business Voucher Open House December 2, 2015, 9:00 - 1:00 MST Boulder,...

  11. NREL: Wind Research - Awards

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

    Awards NREL has received many awards for its technical innovations in wind energy. In addition, the research conducted at the National Wind Technology Center (NWTC) at NREL has led...

  12. Articles about Offshore Wind

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

    unprecedented information on offshore wind patterns, making it possible to harness wind power in entirely new locations.

    Mon, 07 Dec 2015 18:52:00 +0000...

  13. WINDExchange: Wind Events

    Wind Powering America (EERE)

    calendar.asp Lists upcoming wind power-related events. en-us julie.jones@nrel.gov (Julie Jones) http:www.windpoweringamerica.govimageswpalogosm.jpg WINDExchange: Wind Events...

  14. 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...

  15. WindWaveFloat

    SciTech Connect (OSTI)

    Weinstein, Alla

    2011-11-01

    Presentation from the 2011 Water Peer Review includes in which principal investigator Alla Weinstein discusses project progress in development of a floating offshore wind structure - the WindFloat - and incorporation therin of a Spherical Wave Energy Device.

  16. 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 ...

  17. Distributed Wind Energy Workshop

    Broader source: Energy.gov [DOE]

    Join instructor Brent Summerville for a fun and interactive workshop at Appalachian State University's Small Wind Research and Demonstration Site. Learn about a variety of distributed wind energy...

  18. Distributed Wind 2015

    Broader source: Energy.gov [DOE]

    Distributed Wind 2015 is committed to the advancement of both distributed and community wind energy. This two day event includes a Business Conference with sessions focused on advancing the...

  19. Wind Webinar Text Version

    Broader source: Energy.gov [DOE]

    Download the text version of the audio from the DOE Office of Indian Energy webinar on wind renewable energy.

  20. Wake Flow Simulations for a Mid-Sized Rim Driven Wind Turbine

    SciTech Connect (OSTI)

    Rob O. Hovsapian; Various

    2014-06-01

    The onshore land where wind farms with conventional wind turbines can be places is limited by various factors including a requirement for relatively high wind speed for turbines' efficient operations. Where such a requirement cannot be met, mid-and small-sized turbines can be a solution. In the current paper simulations for near and for wakes behind a mid-sized Rim Driven Wind Turbine developed by Keuka Energy LLC is analyzed. The purposes of this study is to better understand the wake structure for more efficient wind farm planning. Simulations are conducted with the commercial CFD software STARCCM+

  1. WindPACT Turbine Rotor Design Study: June 2000--June 2002 (Revised)

    SciTech Connect (OSTI)

    Malcolm, D. J.; Hansen, A. C.

    2006-04-01

    This report presents the results of the turbine rotor study completed by Global Energy Concepts (GEC) as part of the U.S. Department of Energy's WindPACT (Wind Partnership for Advanced Component Technologies) project. The purpose of the WindPACT project is to identify technology improvements that will enable the cost of energy from wind turbines to fall to a target of 3.0 cents/kilowatt-hour in low wind speed sites. The study focused on different rotor configurations and the effect of scale on those rotors.

  2. Wind Energy Markets, 2. edition

    SciTech Connect (OSTI)

    2007-11-15

    The report provides an overview of the global market for wind energy, including a concise look at wind energy development in key markets including installations, government incentives, and market trends. Topics covered include: an overview of wind energy including the history of wind energy production and the current market for wind energy; key business drivers of the wind energy market; barriers to the growth of wind energy; key wind energy trends and recent developments; the economics of wind energy, including cost, revenue, and government subsidy components; regional and national analyses of major wind energy markets; and, profiles of key wind turbine manufacturers.

  3. Wind Economic Development (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-08-01

    The U.S. Department of Energy's Wind Powering America initiative provides information on the economic development benefits of wind energy. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to the economic development benefits section on the Wind Powering America website.

  4. Wind power outlook 2006

    SciTech Connect (OSTI)

    anon.

    2006-04-15

    This annual brochure provides the American Wind Energy Association's up-to-date assessment of the wind industry in the United States. This 2006 general assessment shows positive signs of growth, use and acceptance of wind energy as a vital component of the U.S. energy mix.

  5. WINDExchange: Wind Maps and Data

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

    Wind Maps and Data WINDExchange provides wind maps and anemometer data to help homeowners, communities, states, and regions learn more about their available wind resources and plan wind energy projects. WINDExchange also maintains more than a decade of installed capacity maps showing how wind energy has progressed across the United States over time as advances in wind technology and materials make wind resources more available. A map illustration of the United States showing the various wind

  6. Wind for Schools Curriculum Brief

    SciTech Connect (OSTI)

    2010-08-01

    This fact sheet provides an overview of wind energy curricula as it relates to the Wind for Schools project.

  7. Wind Vision | Department of Energy

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

    Information Resources » Wind Vision Wind Vision Wind Vision About In support of the President's strategy to diversify our nation's clean energy mix, an elite team of researchers, academics, scientists, engineers, and wind industry experts revisited the findings of the Energy Department's 2008 20% Wind by 2030 report and built upon its findings to conceptualize a new vision for wind energy through 2050. The Wind Vision Report takes America's current installed wind power capacity across all

  8. Cost of Wind Energy in the United States: Trends from 2007 to 2012 (Presentation)

    SciTech Connect (OSTI)

    Hand, M.

    2015-01-01

    This presentation provides an overview of recent technology trends observed in the United States including project size, turbine size, rotor diameter, hub height, annual average wind speed, and annual energy production. It also highlights area where system analysis is required to fully understand how these technology trends relate to the cost of wind energy.

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

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

    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 inmore » 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.« less

  10. Arkansas/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    Distributed Wind Energy Association Arkansas Wind Resources Arkansas Energy Office: Wind AWEA State Wind Energy Statistics: Arkansas Southeastern Wind Coalition...

  11. Wind Energy Projects | Department of Energy

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

    Wind Energy Projects Wind Energy Projects Wind Energy Projects Wind Energy Projects Wind Energy Projects Wind Energy Projects Wind Energy Projects Wind Energy Projects Wind Energy Projects Wind Energy Projects Wind Energy Projects Wind Energy Projects WIND ENERGY 4 PROJECTS in 5 LOCATIONS 1,025 MW GENERATION CAPACITY 2,190,000 MWh PROJECTED ANNUAL GENERATION * 1,225,000 METRIC TONS OF CO2 EMISSIONS PREVENTED ANNUALLY ALL FIGURES AS OF MARCH 2015 * Calculated using the project's and NREL

  12. (Wind generation in Washington). Final progress report, January 1, 1984-April 30, 1985

    SciTech Connect (OSTI)

    James, J.W.

    1985-05-13

    A chronology of events describing the activities completed in a wind energy project is presented. The goal of the project was to use energy from a wind turbine to preheat hot water for a Ridgefield, Washington residence. The turbine operated successfully in the spring of 1984 until the yaw mechanism and prop began to fail. An output performance sheet is included which provides estimated energy outputs and wind speeds measured from the year 1979. (BCS)

  13. Wind tower service lift

    DOE Patents [OSTI]

    Oliphant, David; Quilter, Jared; Andersen, Todd; Conroy, Thomas

    2011-09-13

    An apparatus used for maintaining a wind tower structure wherein the wind tower structure may have a plurality of legs and may be configured to support a wind turbine above the ground in a better position to interface with winds. The lift structure may be configured for carrying objects and have a guide system and drive system for mechanically communicating with a primary cable, rail or other first elongate member attached to the wind tower structure. The drive system and guide system may transmit forces that move the lift relative to the cable and thereby relative to the wind tower structure. A control interface may be included for controlling the amount and direction of the power into the guide system and drive system thereby causing the guide system and drive system to move the lift relative to said first elongate member such that said lift moves relative to said wind tower structure.

  14. Wind Vision | Department of Energy

    Office of Environmental Management (EM)

    Wind Vision Wind Vision Wind Vision Introduction U.S. Wind Power Impacts Roadmap Download Wind Vision: A New Era for Wind Power in the United States The Wind Vision report updates the Department of Energy's 2008 20% Wind Energy by 2030 through analysis of scenarios of wind power supplying 10% of national end-use electricity demand by 2020, 20% by 2030, and 35% by 2050. With more than 4.5% of the nation's electricity supplied by wind energy today, the Department of Energy has collaborated with

  15. Wind Vision | Department of Energy

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

    Wind Vision Wind Vision Wind Vision Introduction U.S. Wind Power Impacts Roadmap Download Wind Vision: A New Era for Wind Power in the United States The Wind Vision report updates the Department of Energy's 2008 20% Wind Energy by 2030 through analysis of scenarios of wind power supplying 10% of national end-use electricity demand by 2020, 20% by 2030, and 35% by 2050. With more than 4.5% of the nation's electricity supplied by wind energy today, the Department of Energy has collaborated with

  16. Wind Vision | Department of Energy

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

    Wind Vision Wind Vision Wind Vision Introduction U.S. Wind Power Impacts Roadmap Download Wind Vision: A New Era for Wind Power in the United States The Wind Vision report updates the Department of Energy's 2008 20% Wind Energy by 2030 through analysis of scenarios of wind power supplying 10% of national end-use electricity demand by 2020, 20% by 2030, and 35% by 2050. With more than 4.5% of the nation's electricity supplied by wind energy today, the Department of Energy has collaborated with

  17. Continuous Reliability Enhancement for Wind (CREW) database : wind plant reliability benchmark.

    SciTech Connect (OSTI)

    Hines, Valerie Ann-Peters; Ogilvie, Alistair B.; Bond, Cody R.

    2013-09-01

    To benchmark the current U.S. wind turbine fleet reliability performance and identify the major contributors to component-level failures and other downtime events, the Department of Energy funded the development of the Continuous Reliability Enhancement for Wind (CREW) database by Sandia National Laboratories. This report is the third annual Wind Plant Reliability Benchmark, to publically report on CREW findings for the wind industry. The CREW database uses both high resolution Supervisory Control and Data Acquisition (SCADA) data from operating plants and Strategic Power Systems' ORAPWind%C2%AE (Operational Reliability Analysis Program for Wind) data, which consist of downtime and reserve event records and daily summaries of various time categories for each turbine. Together, these data are used as inputs into CREW's reliability modeling. The results presented here include: the primary CREW Benchmark statistics (operational availability, utilization, capacity factor, mean time between events, and mean downtime); time accounting from an availability perspective; time accounting in terms of the combination of wind speed and generation levels; power curve analysis; and top system and component contributors to unavailability.

  18. NREL: Wind Research - Grid Integration of Offshore Wind

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

    Grid Integration of Offshore Wind Photograph of a wind turbine in the ocean. Located about 10 kilometers off the coast of Arklow, Ireland, the Arklow Bank offshore wind park consists of seven GE Wind 3.6-MW wind turbines. Much can be learned from the existing land-based integration research for handling the variability and uncertainty of the wind resource. Integration and Transmission One comprehensive grid integration study is the Eastern Wind Integration and Transmission Study (EWITS), in

  19. A National Offshore Wind Strategy: Creating an Offshore Wind Energy

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

    Industry in the United States | Department of Energy 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 the United States Strategic plan for accelerating the responsible deployment of offshore wind energy in the United States. PDF icon A National Offshore Wind Strategy: Creating an Offshore Wind Energy Industry in the United States. More Documents & Publications

  20. DOE Offers Conditional Commitment to Cape Wind Offshore Wind Generation

    Office of Environmental Management (EM)

    Project | Department of Energy Offers Conditional Commitment to Cape Wind Offshore Wind Generation Project DOE Offers Conditional Commitment to Cape Wind Offshore Wind Generation Project September 11, 2014 - 3:26pm Addthis The U.S. Department of Energy (DOE) recently announced the first step toward issuing a $150 million loan guarantee to support the construction of the Cape Wind offshore wind project with a conditional commitment to Cape Wind Associates, LLC. The project could be the first

  1. Medium-Speed Drivetrain Test Report: September 1, 2002 -- December 30, 2007

    SciTech Connect (OSTI)

    Walford, C.; Lybarger, K.; Lettenmaier, T.; Roberts, D.

    2012-09-01

    This report describes the tests conducted by researchers at the National Wind Technology Center at NREL on a 1.5-MW integrated drivetrain consisting of a single-stage, epicyclic gearbox and close-coupled medium-speed permanent-magnet generator.

  2. Offshore wind project surges ahead in South Carolina

    Broader source: Energy.gov [DOE]

    Researchers from Coastal Carolina University, working alongside Clemson University, Savannah River National Laboratory and the University of South Carolina, started collecting wind speeds, as well as current, wave and other oceanographic information, in July 2009 from near the coast to as far as 12 miles off shore.

  3. Small Wind Guidebook/Is Wind Energy Practical for Me | Open Energy...

    Open Energy Info (EERE)

    Wind GuidebookIs Wind Energy Practical for Me < Small Wind Guidebook Jump to: navigation, search Print PDF WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook...

  4. IEA Wind Task 26 - Multi-national Case Study of the Financial Cost of Wind Energy; Work Package 1 Final Report

    SciTech Connect (OSTI)

    Schwabe, P.; Lensink, S.; Hand, M.

    2011-03-01

    The lifetime cost of wind energy is comprised of a number of components including the investment cost, operation and maintenance costs, financing costs, and annual energy production. Accurate representation of these cost streams is critical in estimating a wind plant's cost of energy. Some of these cost streams will vary over the life of a given project. From the outset of project development, investors in wind energy have relatively certain knowledge of the plant's lifetime cost of wind energy. This is because a wind energy project's installed costs and mean wind speed are known early on, and wind generation generally has low variable operation and maintenance costs, zero fuel cost, and no carbon emissions cost. Despite these inherent characteristics, there are wide variations in the cost of wind energy internationally, which is the focus of this report. Using a multinational case-study approach, this work seeks to understand the sources of wind energy cost differences among seven countries under International Energy Agency (IEA) Wind Task 26 - Cost of Wind Energy. The participating countries in this study include Denmark, Germany, the Netherlands, Spain, Sweden, Switzerland, and the United States. Due to data availability, onshore wind energy is the primary focus of this study, though a small sample of reported offshore cost data is also included.

  5. Unit commitment with wind power generation: integrating wind forecast uncertainty and stochastic programming.

    SciTech Connect (OSTI)

    Constantinescu, E. M.; Zavala, V. M.; Rocklin, M.; Lee, S.; Anitescu, M.

    2009-10-09

    We present a computational framework for integrating the state-of-the-art Weather Research and Forecasting (WRF) model in stochastic unit commitment/energy dispatch formulations that account for wind power uncertainty. We first enhance the WRF model with adjoint sensitivity analysis capabilities and a sampling technique implemented in a distributed-memory parallel computing architecture. We use these capabilities through an ensemble approach to model the uncertainty of the forecast errors. The wind power realizations are exploited through a closed-loop stochastic unit commitment/energy dispatch formulation. We discuss computational issues arising in the implementation of the framework. In addition, we validate the framework using real wind speed data obtained from a set of meteorological stations. We also build a simulated power system to demonstrate the developments.

  6. WINDExchange: Wind Energy Market Sectors

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

    Market Sectors Printable Version Bookmark and Share Utility-Scale Wind Distributed Wind Motivations for Buying Wind Power Buying Wind Power Selling Wind Power Wind Energy Market Sectors U.S. power plants generate electricity for homes, factories, and businesses from a variety of resources, including coal, hydro, natural gas, nuclear, petroleum, and (non-hydro) renewable resources such as wind and solar energy. This power generation mix varies significantly across the country depending on

  7. Nikolski, Alaska, Wind Resource Report

    Energy Savers [EERE]

    Nikolski, Alaska Wind Resource Report Report written by: Douglas Vaught, P.E., V3 Energy LLC, Eagle River, AK Date of report: March 27, 2007 Photo by Mia Devine, Alaska Energy Authority V3 Energy LLC 1 of 30 Nikolski, Alaska Wind Resource Report Summary Information Nikolski has superb potential for wind power development with Class 7 wind power density, moderate wind shear, bi-directional winds and low turbulence. Meteorological Tower Data Synopsis Wind power class (measured to date) Class 7 -

  8. Status of wind energy in Germany

    SciTech Connect (OSTI)

    Gerdes, G.; Molly, J.P.; Rehfeldt, K.

    1996-12-31

    By the end of 1995 in total 3655 wind turbines (WT`s) were installed in Germany with a total capacity of 1,136 MW. In the year 1995 alone the WT installations grew by 1,070 units with 505 MW. About 40% of the 1995 installations were sold to inland states of Germany with their lower wind speed potential. This fast development occurred in parallel to continuously reduced local state and federal subsidies. The further development is based mainly on the guaranteed reimbursement due to the Electricity Feed Law. But since some time the electricity utilities fight back on all legal and political levels to get cancelled the unloved Electricity Feed Law and since two years the building construction law with the foreseen privilege for WT`s is discussed without any result. All these difficulties affect investors and credit giving banks in such a negative way, that the further annual increase in wind power installation for 1996 could be 10 to 20% less than in 1995. Many of the new commercial Megawatt WT`s have pitch control and variable rotor speed which cause better electrical power quality and lower life time loads. From statistical evaluations on technical data of WT`s a good overview of the further development is derived. 8 refs., 10 figs.

  9. Wind Turbine Structural Health Monitoring - Energy Innovation...

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

    existing wind farms Applications and Industries Wind turbine structural health monitoring Individual turbine maintenance Wind farm energy production optimization Technology...

  10. Mesoscale Simulations of a Wind Ramping Event for Wind Energy Prediction

    SciTech Connect (OSTI)

    Rhodes, M; Lundquist, J K

    2011-09-21

    Ramping events, or rapid changes of wind speed and wind direction over a short period of time, present challenges to power grid operators in regions with significant penetrations of wind energy in the power grid portfolio. Improved predictions of wind power availability require adequate predictions of the timing of ramping events. For the ramping event investigated here, the Weather Research and Forecasting (WRF) model was run at three horizontal resolutions in 'mesoscale' mode: 8100m, 2700m, and 900m. Two Planetary Boundary Layer (PBL) schemes, the Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) schemes, were run at each resolution as well. Simulations were not 'tuned' with nuanced choices of vertical resolution or tuning parameters so that these simulations may be considered 'out-of-the-box' tests of a numerical weather prediction code. Simulations are compared with sodar observations during a wind ramping event at a 'West Coast North America' wind farm. Despite differences in the boundary-layer schemes, no significant differences were observed in the abilities of the schemes to capture the timing of the ramping event. As collaborators have identified, the boundary conditions of these simulations probably dominate the physics of the simulations. They suggest that future investigations into characterization of ramping events employ ensembles of simulations, and that the ensembles include variations of boundary conditions. Furthermore, the failure of these simulations to capture not only the timing of the ramping event but the shape of the wind profile during the ramping event (regardless of its timing) indicates that the set-up and execution of such simulations for wind power forecasting requires skill and tuning of the simulations for a specific site.

  11. Vertical Axis Wind Turbine

    Energy Science and Technology Software Center (OSTI)

    2002-04-01

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

  12. 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.

  13. Alaska Wind Update

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

    Alaska Wind Update BIA Providers Conference Dec. 2, 2015 Unalakleet wind farm Energy Efficiency First  Make homes, workplaces and communities energy efficient thru weatherization and efficient lighting/appliances.  Because of PCE, residential rate payers won't see as much benefit from a wind farm as do commercial customers.  Once efficient, pursue renewable energy. Otherwise, money is wasted to build an oversized system.  EE makes economic sense - faster payback (2-3 years vs. 15-20

  14. WINDExchange: Buying Wind Power

    Wind Powering America (EERE)

    Buying Wind Power Individuals, communities, businesses, and government entities may decide that buying wind power to supply their energy needs is the right fit. There are several ways to purchase wind power. Green Power Marketing Green power marketing refers to green power being offered by multiple suppliers in a competitive marketplace. In states that have established retail competition, customers may be able to purchase green power from a competitive supplier. Learn more about green power

  15. Wind Energy Impacts: Slides

    Wind Powering America (EERE)

    help to alleviate common misconceptions about wind energy. Wind Energy Impacts Photo from Invenergy LLC, NREL 14371 Wildlife impacts vary by location,* and new developments have helped to reduce these effects. Photo from LuRay Parker, NREL 17429 Wind Energy Impacts Pre- and post-development studies, educated siting, and curtailment during high-activity periods have decreased wildlife impacts.** Additional strategies are being researched to better understand and further decrease impacts.

  16. ARM - Lesson Plans: Winds

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

    Winds 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 Lesson Plans: Winds Objective The objective of this activity is to investigate how pressure differences create wind. Materials Each student or group of students will need the following: Balloon (long balloons or round ones) Bicycle pump

  17. What is Distributed Wind?

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

    Distributed Wind? Distributed wind energy systems are commonly installed on residential, agricultural, commercial, institutional, and industrial sites connected either physically or virtually on the customer side of the meter (to serve on-site load) or directly to the local distribution or micro grid (to support local grid operations or offset nearby loads). Because the definition is based on a wind project's location relative to end-use and power-distribution infrastructure, rather than on

  18. Midwest Consortium for Wind Turbine Reliability and Optimization

    SciTech Connect (OSTI)

    Scott R. Dana; Douglas E. Adams; Noah J. Myrent

    2012-05-11

    This report provides an overview of the efforts aimed to establish a student focused laboratory apparatus that will enhance Purdue's ability to recruit and train students in topics related to the dynamics, operations and economics of wind turbines. The project also aims to facilitate outreach to students at Purdue and in grades K-12 in the State of Indiana by sharing wind turbine operational data. For this project, a portable wind turbine test apparatus was developed and fabricated utilizing an AirX 400W wind energy converter. This turbine and test apparatus was outfitted with an array of sensors used to monitor wind speed, turbine rotor speed, power output and the tower structural dynamics. A major portion of this project included the development of a data logging program used to display real-time sensor data and the recording and creation of output files for data post-processing. The apparatus was tested in an open field to subject the turbine to typical operating conditions and the data acquisition system was adjusted to obtain desired functionality to facilitate use for student projects in existing courses offered at Purdue University and Indiana University. Data collected using the data logging program is analyzed and presented to demonstrate the usefulness of the test apparatus related to wind turbine dynamics and operations.

  19. Comparing Pulsed Doppler LIDAR with SODAR and Direct Measurements for Wind Assessment

    SciTech Connect (OSTI)

    Kelley, N. D.; Jonkman, B. J.; Scott, G. N.; Pichugina, Y. L.

    2007-07-01

    There is a pressing need for good wind-speed measurements at greater and greater heights to assess the availability of the resource in terms of power production and to identify any frequently occurring atmospheric structural characteristics that may create turbulence that impacts the operational reliability and lifetime of wind turbines and their components. In this paper, we summarize the results of a short study that compares the relative accuracies of wind speeds derived from a high-resolution pulsed Doppler LIDAR operated by the National Oceanic and Atmospheric Administration (NOAA) and a midrange Doppler SODAR with wind speeds measured by four levels of tower-based sonic anemometry up to a height of 116 m.

  20. 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.

  1. Campbell Hill Wind Farm | Open Energy Information

    Open Energy Info (EERE)

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

  2. Happy Jack Wind Farm | Open Energy Information

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

  3. Sky River Wind Farm | Open Energy Information

    Open Energy Info (EERE)

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

  4. NorthWinds Renewables | Open Energy Information

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    NorthWinds Renewables Jump to: navigation, search Name: NorthWinds Renewables Place: Harrison, New York Zip: 10528 Sector: Renewable Energy, Wind energy Product: NorthWinds...

  5. Pioneer Asia Wind Turbines | Open Energy Information

    Open Energy Info (EERE)

    Asia Wind Turbines Jump to: navigation, search Name: Pioneer Asia Wind Turbines Place: Madurai, Tamil Nadu, India Zip: 625 002 Sector: Wind energy Product: Madurai-based wind...

  6. Kotzebue Wind Project III | Open Energy Information

    Open Energy Info (EERE)

    Kotzebue Wind Project III Facility Kotzebue Wind Project Sector Wind energy Facility Type Small Scale Wind Facility Status In Service Owner Kotzebue Elec. Assoc. Developer Kotzebue...

  7. Stateline Expansion Wind Farm | Open Energy Information

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

  8. Bull Creek Wind Farm | Open Energy Information

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    Wind Farm Facility Bull Creek Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Eurus Developer Eurus Energy Purchaser Market...

  9. Juhl Wind Inc | Open Energy Information

    Open Energy Info (EERE)

    search Name: Juhl Wind Inc. Place: Woodstock, Minnesota Zip: 57186 Sector: Wind energy Product: Juhl Wind is a company that develops community wind projects and was formed via...

  10. Mountain Home Wind Farm | Open Energy Information

    Open Energy Info (EERE)

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

  11. Turtle Mountain Wind Farm | Open Energy Information

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

  12. Silver Sage Wind Farm | Open Energy Information

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

  13. Green Power Wind Farm | Open Energy Information

    Open Energy Info (EERE)

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

  14. University of Delaware Wind | Open Energy Information

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    search Name University of Delaware Wind Facility University of Delaware Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner University of...

  15. West Stevens Wind | Open Energy Information

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    Jump to: navigation, search Name West Stevens Wind Facility West Stevens Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status Under Construction Developer...

  16. Brown County Wind | Open Energy Information

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    Jump to: navigation, search Name Brown County Wind Facility Brown County Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Adams Electric...

  17. Kingdom Community Wind | Open Energy Information

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    search Name Kingdom Community Wind Facility Kingdom Community Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Green Mountain...

  18. Wing River Wind Farm | Open Energy Information

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

  19. Osage Municipal Utilities Wind | Open Energy Information

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    Name Osage Municipal Utilities Wind Facility Osage Municipal Utilities Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Osage...

  20. Wessington Springs Wind Farm | Open Energy Information

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    to: navigation, search Name Wessington Springs Wind Farm Facility Wessington Springs Wind Energy Center Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  1. Junction Hilltop Wind | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Name Junction Hilltop Wind Facility Junction Hilltop Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Community Owned...

  2. Franklin County Wind LLC | Open Energy Information

    Open Energy Info (EERE)

    search Name Franklin County Wind LLC Facility Franklin County Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Franklin...

  3. MWRA Deer Island Wind | Open Energy Information

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    navigation, search Name MWRA Deer Island Wind Facility MWRA Deer Island Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner MWRA Deer...

  4. Barton Chapel Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Name Barton Chapel Wind Farm Facility Barton Chapel Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Iberdrola...

  5. Wolverine Creek Wind Farm | Open Energy Information

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

  6. Wapsipinicon Wind Project | Open Energy Information

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    navigation, search Name Wapsipinicon Wind Project Facility Wapsipinicon Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner EnXco...

  7. Applied Materials Wind Turbine | Open Energy Information

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

  8. Cleveland Bay Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Facility Status Proposed Developer Lake Erie Energy Development Corporation Great Lakes Ohio Wind Great Lakes Energy Wind LLC Freshwater Wind LLC Cavallo Great...

  9. Great Plains Wind Farm | Open Energy Information

    Open Energy Info (EERE)

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

  10. Georgia/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  11. Minnesota/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  12. Delaware/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  13. Maryland/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  14. Indiana/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  15. Nebraska/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  16. Oklahoma/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  17. Connecticut/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  18. Virginia/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  19. Missouri/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  20. Louisiana/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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