Sample records for wind power prices

  1. Wind Power Price Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    price of power from new U.S. wind projects higher in 2009.should eventually help wind power regain the downward pricein Modern Energy Review] Wind Power Price Trends in the

  2. Wind Power Price Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    should eventually help wind power regain the downward priceModern Energy Review] Wind Power Price Trends in the Unitedled the world in adding new wind power capacity in 2008, and

  3. Wind Power Price Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    49 Figure 5. Installed Wind Project Costs Over Time Capacitynot represent the true cost of wind generation (which wouldinstalled project costs on wind power prices. Specifically,

  4. Wind Power Price Trends in the United States

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2009-07-15T23:59:59.000Z

    For the fourth year in a row, the United States led the world in adding new wind power capacity in 2008, and also surpassed Germany to take the lead in terms of cumulative installed wind capacity. The rapid growth of wind power in the U.S. over the past decade (Figure 1) has been driven by a combination of increasingly supportive policies (including the Federal production tax credit (PTC) and a growing number of state renewables portfolio standards), uncertainty over the future fuel costs and environmental liabilities of natural gas and coal-fired power plants, and wind's competitive position among generation resources. This article focuses on just the last of these drivers - i.e., trends in U.S. wind power prices - over the period of strong capacity growth since 1998.

  5. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    timeframe. Projected Wind Generation as % of Electricityrepresent the cost of wind generation. Wind Power Price (time-variability of wind generation is often such that its

  6. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    cost (and price) of energy delivered from a wind project.wind turbines has increased due to higher commodity (materials and energy) prices, andwind power, cost trends, price trends 1.0 Introduction Driven by concerns over climate and energy

  7. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    Build a Durable Market for Wind Power in the United States”crisis on the U.S. wind power market. A sizable literaturethe recent run-up in wind power costs and pricing. Moreover,

  8. Wind Power Price Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    the true cost of wind generation (which would be at least $and wind’s competitive position among generation resources.

  9. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    and forecast future wind cost and pricing trends (see,long-term forecast of future wind costs or competitiveness,To put the material on wind cost and pricing trends in

  10. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    Build a Durable Market for Wind Power in the United States”Consult. 2008. “International Wind Energy Development: WorldGlobal Experience Curves for Wind Farms. ” Energy Policy,

  11. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    Curves for Wind Farms. ” Energy Policy, 33: 133-150. Lusey,Wind Power Development in the United States” Energy Policy.Curves for Wind Power. ” Energy Policy, 30: 1181- IHS CERA.

  12. Quantifying the value that wind power provides as a hedge against volatile natural gas prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2002-01-01T23:59:59.000Z

    Gas Pricing by Regulated Natural Gas Utilities, Docket No.A HEDGE AGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger,A HEDGE AGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger,

  13. Revisiting the Long-Term Hedge Value of Wind Power in an Era of Low Natural Gas Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01T23:59:59.000Z

    Cost of Energy from U.S. Wind Power Projects. Berkeley,and M. Bolinger. 2012. 2011 Wind Technologies Market Report.AWEA). 2012b. AWEA U.S. Wind Industry Fourth Quarter 2012

  14. Wind power and Wind power and

    E-Print Network [OSTI]

    Wind power and the CDM #12; Wind power and the CDM Emerging practices in developing wind power 2005 Jyoti P. Painuly, Niels-Erik Clausen, Jørgen Fenhann, Sami Kamel and Romeo Pacudan #12; WIND POWER AND THE CDM Emerging practices in developing wind power projects for the Clean Development Mechanism Energy

  15. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

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

  16. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    installed cost of both natural gas and coal power plants incosts and liabilities of natural gas- and coal-fired power plants.costs of building coal, gas, wind, and nuclear power plants

  17. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    Innovation and the price of wind energy in the US. ” Energythe impact of energy price changes on wind turbine prices.Costs 3.6 Energy Prices Life-cycle analyses of wind projects

  18. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    on U.S. Wind Power Installation, Cost, and Performanceand Capital Costs Drive Wind Power Prices. . . . . 14Figure 18. Installed Wind Project Costs over Time Installed

  19. Wind Power

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind Industry SoarsWind

  20. Renewable Energy RFPs: Solicitation Response and Wind Contract Prices

    E-Print Network [OSTI]

    Wiser, Ryan; Bolinger, Mark

    2005-01-01T23:59:59.000Z

    Energy RFPs: Solicitation Response and Wind Contract Pricesenergy capacity (especially wind). Though detailed information on bid prices

  1. Wind Power

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEurekaWeekly UserWhat's New Today aboutWind

  2. Managing Wind Power Forecast Uncertainty in Electric Brandon Keith Mauch

    E-Print Network [OSTI]

    i Managing Wind Power Forecast Uncertainty in Electric Grids Brandon Keith Mauch Co for the modeled wind- CAES system would not cover annualized capital costs. We also estimate market prices-ahead market is roughly $100, with large variability due to electric power prices. Wind power forecast errors

  3. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2006-05-01T23:59:59.000Z

    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.

  4. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2007-05-01T23:59:59.000Z

    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.

  5. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet...

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

    Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP) Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power...

  6. Residential Wind Power

    E-Print Network [OSTI]

    Willis, Gary

    2011-12-16T23:59:59.000Z

    This research study will explore the use of residential wind power and associated engineering and environmental issues. There is various wind power generating devices available to the consumer. The study will discuss the dependencies of human...

  7. EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility...

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

    6: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI May 3, 2010 EA-1726: Final...

  8. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    on U.S. Wind Power Installation, Cost, and Performancecontinued to put upward pressure on wind turbine costs,wind project costs, and wind power prices in 2007. Since

  9. Wind Power Outlook 2004

    SciTech Connect (OSTI)

    anon.

    2004-01-01T23:59:59.000Z

    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.

  10. Wind power today

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    This publication highlights initiatives of the US DOE`s Wind Energy Program. 1997 yearly activities are also very briefly summarized. The first article describes a 6-megawatt wind power plant installed in Vermont. Another article summarizes technical advances in wind turbine technology, and describes next-generation utility and small wind turbines in the planning stages. A village power project in Alaska using three 50-kilowatt turbines is described. Very brief summaries of the Federal Wind Energy Program and the National Wind Technology Center are also included in the publication.

  11. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    Annual Report on U.S. Wind Power Installation, Cost, and3 U.S. Wind Power Capacity Increased by 27% inAre Significant. . . . . . . 9 Wind Power Prices Are Up in

  12. Enabling Wind Power Nationwide

    Office of Environmental Management (EM)

    including natural gas, and competing renewable power resources such as solar photovoltaics. Figure 4-3. Wind turbine hub height trends in Germany from 2007 to 2014 Source:...

  13. Revisiting the Long-Term Hedge Value of Wind Power in an Era of Low Natural Gas Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01T23:59:59.000Z

    Downward Pressure on Natural Gas Prices? ” Energy Policy.Tensions at the Nexus of Natural Gas and Renewable Energy. ”Profiles of Renewable and Natural Gas Electricity Contracts:

  14. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    of wind energy lower, regardless of the policy environment.price of wind energy in the US. ” Energy Policy, Volume 37,

  15. Wind Power Career Chat

    SciTech Connect (OSTI)

    Not Available

    2011-01-01T23:59:59.000Z

    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.

  16. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    the risk of default on power purchase contracts [being] oneon Supervision of Power-Grid Enterprise Purchases of Fullgrid companies purchase wind power at the price fixed by the

  17. Sandia Energy - Wind & Water Power Newsletter

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

    Wind & Water Power Newsletter Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Wind & Water Power Newsletter Wind & Water Power NewsletterTara...

  18. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    in terms of new installed capacity, followed by Europeanat their original installed capacity), and are therefore20 GW of new wind capacity installed in 2007. Although

  19. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    figures) have nominal power purchase agreement (PPA) pricesprices and/or negotiated power purchase agreements as much

  20. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    A. Zervos. 2011a. “Wind Energy. ” In IPCC Special Report onWashington, D.C. : American Wind Energy Association. Aubrey,Innovation and the price of wind energy in the US. ” Energy

  1. Wind Power Today, 2010, Wind and Water Power Program (WWPP)

    SciTech Connect (OSTI)

    Not Available

    2010-05-01T23:59:59.000Z

    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 Water Power Program.

  2. 2015 Iowa Wind Power Conference and Iowa Wind Energy Association...

    Energy Savers [EERE]

    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...

  3. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    information on wind power purchase prices, capital costs,prices and/or negotiated power purchase agreements as muchLab collection of power purchase agreements. To reduce the

  4. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    consequent impacts on wind turbine and wind energy pricing.Bloomberg NEF”). 2011c. Wind Turbine Price Index, Issue V.Understanding Trends in Wind Turbine Prices Over the Past

  5. Revisiting the Long-Term Hedge Value of Wind Power in an Era of Low Natural Gas Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01T23:59:59.000Z

    Nexus of Natural Gas and Renewable Energy. ” The Electricity2007. “Can Deployment of Renewable Energy Put DownwardDetermining the Real Cost: Why Renewable Power is More Cost-

  6. Proceedings Nordic Wind Power Conference

    E-Print Network [OSTI]

    Estimation of Possible Power for Wind Plant Control Power Fluctuations from Offshore Wind Farms; Model Validation System grounding of wind farm medium voltage cable grids Faults in the Collection Grid of Offshore systems of wind turbines and wind farms. NWPC presents the newest research results related to technical

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

    Energy Savers [EERE]

    Economics: Past, Present, and Future Trends November 23, 2011 - 1:43pm Addthis Wind turbine prices in the United States have declined, on average, by nearly one-third since...

  8. 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...

  9. Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts

    E-Print Network [OSTI]

    Giannitrapani, Antonello

    bid is computed by exploiting the forecast energy price for the day ahead market, the historical wind renewable energy resources, such as wind and photovoltaic, has grown rapidly. It is well known the problem of optimizing energy bids for an independent Wind Power Producer (WPP) taking part

  10. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    A. Zervos. 2011a. “Wind Energy. ” In IPCC Special Report onconsequent impacts on wind turbine and wind energy pricing.References American Wind Energy Association (AWEA). 2011.

  11. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    G. Sinden, A. Zervos. 2011a. “Wind Energy. ” In IPCC Specialdemand shocks, with consequent impacts on wind turbineand wind energy pricing. References American Wind Energy

  12. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Innovation and the price of wind energy in the US. ” Energy3.6 Energy Prices Life-cycle analyses of wind projects findEnergy Finance (“Bloomberg NEF”). 2011c. Wind Turbine Price

  13. Wind Powering America Webinar Series (Postcard), Wind Powering America (WPA)

    SciTech Connect (OSTI)

    Not Available

    2012-02-01T23:59:59.000Z

    Wind Powering America offers a free monthly webinar series that provides expert information on today?s key wind energy topics. This postcard is an outreach tool that provides a brief description of the webinars as well as the URL.

  14. Wind Powering America Podcasts, Wind Powering America (WPA)

    SciTech Connect (OSTI)

    Not Available

    2012-04-01T23:59:59.000Z

    Wind Powering America and the National Association of Farm Broadcasters produce a series of radio interviews featuring experts discussing wind energy topics. The interviews are aimed at a rural stakeholder audience and are available as podcasts. On the Wind Powering America website, you can access past interviews on topics such as: Keys to Local Wind Energy Development Success, What to Know about Installing a Wind Energy System on Your Farm, and Wind Energy Development Can Revitalize Rural America. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to this online resource for podcast episodes.

  15. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    basis. Projected Wind Generation as % of Electricitywind power as a percentage of total in-state generation, atwind pricing trends, are the rising costs of fossil generation,

  16. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    SciTech Connect (OSTI)

    Hoen, Ben; Wiser, Ryan; Cappers, Peter; Thayer, Mark; Sethi, Gautam

    2010-04-01T23:59:59.000Z

    With an increasing number of communities considering nearby wind power developments, there is a need to empirically investigate community concerns about wind project development. One such concern is that property values may be adversely affected by wind energy facilities, and relatively little research exists on the subject. The present research investigates roughly 7,500 sales of single-family homes surrounding 24 existing U.S. wind facilities. Across four different hedonic models the results are consistent: neither the view of the wind facilities nor the distance of the home to those facilities is found to have a statistically significant effect on home sales prices.

  17. Enabling Wind Power Nationwide

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 Federal Register /of Energy 3 BTO PeerDepartment ofWind Power

  18. Wind Power Link

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to globalWind Power Links These other

  19. Wind Power Outreach Campaign

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to globalWind Power Links These other

  20. Wind Power Software

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to globalWind Power Links These

  1. Power System Modeling of 20percent Wind-Generated Electricity by 2030

    E-Print Network [OSTI]

    Hand, Maureen

    2008-01-01T23:59:59.000Z

    Price Reduction Offsetting demand for natural gas in the electricity sector by increasing wind energy’price reductions, and water savings. Index Terms—power system modeling, wind energywind energy to offset coal- and natural gas-based electricity generation analyzed here include decreased natural gas prices,

  2. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices *

  3. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    SciTech Connect (OSTI)

    Hoen, Ben; Wiser, Ryan; Cappers, Peter; Thayer, Mark; Sethi, Gautam

    2010-04-01T23:59:59.000Z

    With wind energy expanding rapidly in the U.S. and abroad, and with an increasing number of communities considering nearby wind power developments, there is a need to empirically investigate community concerns about wind project development. One such concern is that property values may be adversely affected by wind energy facilities, and relatively little existing research exists on the subject. The present research is based on almost 7,500 sales of single-family homes situated within ten miles of 24 existing wind facilities in nine different U.S. states. The conclusions of the study are drawn from four different hedonic pricing models. The model results are consistent in that neither the view of the wind facilities nor the distance of the home to those facilities is found to have a statistically significant effect on home sales prices.

  4. Kahuku Wind Power (First Wind) | Department of Energy

    Office of Environmental Management (EM)

    The project employs the integration of Clipper LibertyTM wind turbine generators and a control system to more efficiently integrate wind power with the utility's power grid....

  5. Active Power Control from Wind Power (Presentation)

    SciTech Connect (OSTI)

    Ela, E.; Brooks, D.

    2011-04-01T23:59:59.000Z

    In order to keep the electricity grid stable and the lights on, the power system relies on certain responses from its generating fleet. This presentation evaluates the potential for wind turbines and wind power plants to provide these services and assist the grid during critical times.

  6. Understanding Trends in Wind Turbine Prices Over the Past Decade

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2011-10-26T23:59:59.000Z

    Taking a bottom-up approach, this report examines seven primary drivers of wind turbine prices in the United States, with the goal of estimating the degree to which each contributed to the doubling in turbine prices from 2002 through 2008, as well as the subsequent decline in prices through 2010 (our analysis does not extend into 2011 because several of these drivers are best gauged on a full-year basis due to seasonality issues). The first four of these drivers can be considered, at least to some degree, endogenous influences – i.e., those that are largely within the control of the wind industry – and include changes in: 1) Labor costs, which have historically risen during times of tight turbine supply; 2) Warranty provisions, which reflect technology performance and reliability, and are most often capitalized in turbine prices; 3) Turbine manufacturer profitability, which can impact turbine prices independently of costs; and 4) Turbine design, which for the purpose of this analysis is principally manifested through increased turbine size. The other three drivers analyzed in this study can be considered exogenous influences, in that they can impact wind turbine costs but fall mostly outside of the direct control of the wind industry. These exogenous drivers include changes in: 5) Raw materials prices, which affect the cost of inputs to the manufacturing process; 6) Energy prices, which impact the cost of manufacturing and transporting turbines; and 7) Foreign exchange rates, which can impact the dollar amount paid for turbines and components imported into the United States.

  7. PowerJet Wind Turbine Project

    SciTech Connect (OSTI)

    Bartlett, Raymond J

    2008-11-30T23:59:59.000Z

    PROJECT OBJECTIVE The PowerJet wind turbine overcomes problems characteristic of the small wind turbines that are on the market today by providing reliable output at a wide range of wind speeds, durability, silent operation at all wind speeds, and bird-safe operation. Prime Energy�s objective for this project was to design and integrate a generator with an electrical controller and mechanical controls to maximize the generation of electricity by its wind turbine. The scope of this project was to design, construct and test a mechanical back plate to control rotational speed in high winds, and an electronic controller to maximize power output and to assist the base plate in controlling rotational speed in high winds. The test model will continue to operate beyond the time frame of the project, with the ultimate goal of manufacturing and marketing the PowerJet worldwide. Increased Understanding of Electronic & Mechanical Controls Integrated With Electricity Generator The PowerJet back plate begins to open as wind speed exceeds 13.5 mps. The pressure inside the turbine and the turbine rotational speed are held constant. Once the back plate has fully opened at approximately 29 mps, the controller begins pulsing back to the generator to limit the rotational speed of the turbine. At a wind speed in excess of 29 mps, the controller shorts the generator and brings the turbine to a complete stop. As the wind speed subsides, the controller releases the turbine and it resumes producing electricity. Data collection and instrumentation problems prevented identification of the exact speeds at which these events occur. However, the turbine, controller and generator survived winds in excess of 36 mps, confirming that the two over-speed controls accomplished their purpose. Technical Effectiveness & Economic Feasibility Maximum Electrical Output The output of electricity is maximized by the integration of an electronic controller and mechanical over-speed controls designed and tested during the course of this project. The output exceeds that of the PowerJet�s 3-bladed counterparts (see Appendix). Durability All components of the PowerJet turbine assembly�including the electronic and mechanical controls designed, manufactured and field tested during the course of this project�proved to be durable through severe weather conditions, with constant operation and no interruption in energy production. Low Cost Materials for the turbine, generator, tower, charge controllers and ancillary parts are available at reasonable prices. Fabrication of these parts is also readily available worldwide. The cost of assembling and installing the turbine is reduced because it has fewer parts and requires less labor to manufacture and assemble, making it competitively priced compared with turbines of similar output manufactured in the U.S. and Europe. The electronic controller is the unique part to be included in the turbine package. The controllers can be manufactured in reasonably-sized production runs to keep the cost below $250 each. The data logger and 24 sensors are for research only and will be unnecessary for the commercial product. Benefit To Public The PowerJet wind-electric system is designed for distributed wind generation in 3 and 4 class winds. This wind turbine meets DOE�s requirements for a quiet, durable, bird-safe turbine that eventually can be deployed as a grid-connected generator in urban and suburban settings. Results As described more fully below and illustrated in the Appendices, the goals and objectives outlined in 2060 SOPO were fully met. Electronic and mechanical controls were successfully designed, manufactured and integrated with the generator. The turbine, tower, controllers and generators operated without incident throughout the test period, surviving severe winter and summer weather conditions such as extreme temperatures, ice and sustained high winds. The electronic controls were contained in weather-proof electrical boxes and the elec

  8. Wind power outlook 2006

    SciTech Connect (OSTI)

    anon.

    2006-04-15T23:59:59.000Z

    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.

  9. Probabilistic Wind Resource Assessment and Power Predictions

    E-Print Network [OSTI]

    Firestone, Jeremy

    Probabilistic Wind Resource Assessment and Power Predictions Luca Delle Monache (lucadm Accurate wind resource assessment and power forecasts and reliable quanXficaXon of their uncertainty Mo5va5on · Power forecast: o Increase wind energy penetra

  10. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    for Renewable Energy Power Generation Prices and Expenses? [for Renewable Energy Power Generation Prices and Expenses?for Renewable Energy Power Generation Prices and Expenses? [

  11. WIND ENERGY HOW MUCH AND WHAT PRICE? NSTA SAN ANTONIO, TX

    E-Print Network [OSTI]

    Collar, Juan I.

    WIND ENERGY ­ HOW MUCH AND WHAT PRICE? NSTA ­ SAN ANTONIO, TX Last Updated 04/14/13 DESCRIPTION this then extractable and transferable to the electrical grid. To understand how much power (energy per unit time household fan, the windmill's turbines will rotate. #12;Suggested questions or activities: 1. Does

  12. The power of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad; Hledik, Ryan; Tsoukalis, John

    2009-04-15T23:59:59.000Z

    Using data from a generic California utility, it can be shown that it is feasible to develop dynamic pricing rates for all customer classes. These rates have the potential to reduce system peak demands from 1 to 9 percent. (author)

  13. Enabling Wind Power Nationwide

    Office of Environmental Management (EM)

    hub heights of 110 meters (m) (which are already in wide commercial deployment in Germany and other European countries), the technical potential for wind deployment is...

  14. Reference wind farm selection for regional wind power prediction models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Reference wind farm selection for regional wind power prediction models Nils Siebert George.siebert@ensmp.fr, georges.kariniotakis@ensmp.fr Abstract Short-term wind power forecasting is recognized today as a major requirement for a secure and economic integration of wind generation in power systems. This paper deals

  15. 2008 Wind Energy Projects, Wind Powering America (Poster)

    SciTech Connect (OSTI)

    Not Available

    2009-01-01T23:59:59.000Z

    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.

  16. Wind Power Systems 1.0 Overview

    E-Print Network [OSTI]

    Ding, Yu

    Wind Power Systems 1.0 Overview 2.0 Simulation model for wind farm operation 3.0 Research topics #12;Contents 1. Overview of wind power systems 2. Simulation model of wind farm operations 3. Research area of wind power systems 3.0 Overview 3.1 Economic dispatch 3.2 Correlation analysis 3.3 Energy

  17. 20% Wind Energy by 2030 - Chapter 6: Wind Power Markets Summary...

    Energy Savers [EERE]

    6: Wind Power Markets Summary Slides 20% Wind Energy by 2030 - Chapter 6: Wind Power Markets Summary Slides Summary slides overviewing wind power markets, growth, applications, and...

  18. Wind Power Overview Windpoweristhefastestgrowingformofrenewableenergy,withpoten-

    E-Print Network [OSTI]

    Wind Power Overview · Windpoweristhefastestgrowingformofrenewableenergy Offshore Wind Power for Florida? · AveragehouseholdelectricitycostsforFloridaare expectedtoincreaseby4.7%($7.50/month)each yearoverthenextdecade2 . · Offshore winds are typically stronger and more

  19. Wind Speed Forecasting for Power System Operation 

    E-Print Network [OSTI]

    Zhu, Xinxin

    2013-07-22T23:59:59.000Z

    In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and limited predictability of wind pose profound challenges to the power system...

  20. Wind Speed Forecasting for Power System Operation

    E-Print Network [OSTI]

    Zhu, Xinxin

    2013-07-22T23:59:59.000Z

    In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and limited predictability of wind pose profound challenges to the power system...

  1. 22-10-071RES2020 Implementation of Wind power in

    E-Print Network [OSTI]

    22-10-071RES2020 Implementation of Wind power in RES2020-TIMES Poul Erik Grohnheit Systems Analysis costs ­ cost increase from wind · Elastic demand ­ consumer response to spot prices (cost of demand power: Use of time slices Analysis of hourly electricity demand and wind production for Denmark (east

  2. Wind Power in Norway -Innovation strategy -

    E-Print Network [OSTI]

    Müller, Ralf R.

    Wind Power in Norway - Innovation strategy - Liana Müller #12;2 Introduction The existing energy and, at the same time, not to irreversibly damage the life on Earth. The use of waterpower, wind power, the growth of the wind power industry in Norway. In the sequel, a brief history of wind power energy

  3. Intelligent wind power prediction systems final report

    E-Print Network [OSTI]

    Intelligent wind power prediction systems ­ final report ­ Henrik Aalborg Nielsen (han (FU 4101) Ens. journal number: 79029-0001 Project title: Intelligent wind power prediction systems #12;#12;Intelligent wind power prediction systems 1/36 Contents 1 Introduction 6 2 The Wind Power Prediction Tool 7 3

  4. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    SciTech Connect (OSTI)

    San Diego State University; Bard Center for Environmental Policy at Bard College; Hoen, Ben; Wiser, Ryan; Cappers, Peter; Thayer, Mark; Sethi, Gautam

    2011-06-23T23:59:59.000Z

    With increasing numbers of communities considering wind power developments, empirical investigations regarding related community concerns are needed. One such concern is that proximate property values may be adversely affected, yet relatively little research exists on the subject. The present research investigates roughly 7,500 sales of single-family homes surrounding 24 existing U.S. wind facilities. Across four different hedonic models, and a variety of robustness tests, the results are consistent: neither the view of the wind facilities nor the distance of the home to those facilities is found to have a statistically significant effect on sales prices, yet further research is warranted.

  5. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    embodied in wind turbine materials (6.37 GJ/kW) from theMaterials Prices Wind turbines are material-intensive. Eachprofitability, turbine scaling, raw materials prices, energy

  6. Impact of Wind Shear and Tower Shadow Effects on Power System with Large Scale Wind Power

    E-Print Network [OSTI]

    Hu, Weihao

    Impact of Wind Shear and Tower Shadow Effects on Power System with Large Scale Wind Power to wind speed variations, the wind shear and the tower shadow effects. The fluctuating power may be ableSILENT/PowerFactory. In this paper, the impacts of wind shear and tower shadow effects on the small signal stability of power systems

  7. Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets Qun Zhou--In current restructured wholesale power markets, the short length of time series for prices makes are fitted between D&O and wholesale power prices in order to obtain price scenarios for a specified time

  8. POWER SYSTEMS STABILITY WITH LARGE-SCALE WIND POWER PENETRATION

    E-Print Network [OSTI]

    Bak-Jensen, Birgitte

    of offshore wind farms, wind power fluctuations may introduce several challenges to reliable power system behaviour due to natural wind fluctuations. The rapid power fluctuations from the large scale wind farms Generation Control (AGC) system which includes large- scale wind farms for long-term stability simulation

  9. Use of wind power forecasting in operational decisions.

    SciTech Connect (OSTI)

    Botterud, A.; Zhi, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Mendes, J.; Sumaili, J.; Miranda, V. (Decision and Information Sciences); (INESC Porto)

    2011-11-29T23:59:59.000Z

    The rapid expansion of wind power gives rise to a number of challenges for power system operators and electricity market participants. The key operational challenge is to efficiently handle the uncertainty and variability of wind power when balancing supply and demand in ths system. In this report, we analyze how wind power forecasting can serve as an efficient tool toward this end. We discuss the current status of wind power forecasting in U.S. electricity markets and develop several methodologies and modeling tools for the use of wind power forecasting in operational decisions, from the perspectives of the system operator as well as the wind power producer. In particular, we focus on the use of probabilistic forecasts in operational decisions. Driven by increasing prices for fossil fuels and concerns about greenhouse gas (GHG) emissions, wind power, as a renewable and clean source of energy, is rapidly being introduced into the existing electricity supply portfolio in many parts of the world. The U.S. Department of Energy (DOE) has analyzed a scenario in which wind power meets 20% of the U.S. electricity demand by 2030, which means that the U.S. wind power capacity would have to reach more than 300 gigawatts (GW). The European Union is pursuing a target of 20/20/20, which aims to reduce greenhouse gas (GHG) emissions by 20%, increase the amount of renewable energy to 20% of the energy supply, and improve energy efficiency by 20% by 2020 as compared to 1990. Meanwhile, China is the leading country in terms of installed wind capacity, and had 45 GW of installed wind power capacity out of about 200 GW on a global level at the end of 2010. The rapid increase in the penetration of wind power into power systems introduces more variability and uncertainty in the electricity generation portfolio, and these factors are the key challenges when it comes to integrating wind power into the electric power grid. Wind power forecasting (WPF) is an important tool to help efficiently address this challenge, and significant efforts have been invested in developing more accurate wind power forecasts. In this report, we document our work on the use of wind power forecasting in operational decisions.

  10. Long-Term Wind Power Variability

    SciTech Connect (OSTI)

    Wan, Y. H.

    2012-01-01T23:59:59.000Z

    The National Renewable Energy Laboratory started collecting wind power data from large commercial wind power plants (WPPs) in southwest Minnesota with dedicated dataloggers and communication links in the spring of 2000. Over the years, additional WPPs in other areas were added to and removed from the data collection effort. The longest data stream of actual wind plant output is more than 10 years. The resulting data have been used to analyze wind power fluctuations, frequency distribution of changes, the effects of spatial diversity, and wind power ancillary services. This report uses the multi-year wind power data to examine long-term wind power variability.

  11. New Concepts in Wind Power Forecasting Models

    E-Print Network [OSTI]

    Kemner, Ken

    New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, João Gama, Guenter to the training of mappers such as neural networks to perform wind power prediction as a function of wind characteristics (mainly speed and direction) in wind parks connected to a power grid. Renyi's Entropy is combined

  12. Computational methods in wind power meteorology

    E-Print Network [OSTI]

    Computational methods in wind power meteorology Bo Hoffmann Jørgensen, Søren Ott, Niels Nørmark, Jakob Mann and Jake Badger Title: Computational methods in wind power meteorology Department: Wind in connection with the project called Computational meth- ods in wind power meteorology which was supported

  13. Power Quality Aspects in a Wind Power Plant: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Butterfield, C. P.; Chacon, J.; Romanowitz, H.

    2006-01-01T23:59:59.000Z

    Although many operational aspects affect wind power plant operation, this paper focuses on power quality. Because a wind power plant is connected to the grid, it is very important to understand the sources of disturbances that affect the power quality.

  14. Wind power manufacturing and supply chain summit USA.

    SciTech Connect (OSTI)

    Hill, Roger Ray

    2010-12-01T23:59:59.000Z

    The area of wind turbine component manufacturing represents a business opportunity in the wind energy industry. Modern wind turbines can provide large amounts of electricity, cleanly and reliably, at prices competitive with any other new electricity source. Over the next twenty years, the US market for wind power is expected to continue to grow, as is the domestic content of installed turbines, driving demand for American-made components. Between 2005 and 2009, components manufactured domestically grew eight-fold to reach 50 percent of the value of new wind turbines installed in the U.S. in 2009. While that growth is impressive, the industry expects domestic content to continue to grow, creating new opportunities for suppliers. In addition, ever-growing wind power markets around the world provide opportunities for new export markets.

  15. Wind Fins: Novel Lower-Cost Wind Power System

    SciTech Connect (OSTI)

    David C. Morris; Dr. Will D. Swearingen

    2007-10-08T23:59:59.000Z

    This project evaluated the technical feasibility of converting energy from the wind with a novel “wind fin” approach. This patent-pending technology has three major components: (1) a mast, (2) a vertical, hinged wind structure or fin, and (3) a power takeoff system. The wing structure responds to the wind with an oscillating motion, generating power. The overall project goal was to determine the basic technical feasibility of the wind fin technology. Specific objectives were the following: (1) to determine the wind energy-conversion performance of the wind fin and the degree to which its performance could be enhanced through basic design improvements; (2) to determine how best to design the wind fin system to survive extreme winds; (3) to determine the cost-effectiveness of the best wind fin designs compared to state-of-the-art wind turbines; and (4) to develop conclusions about the overall technical feasibility of the wind fin system. Project work involved extensive computer modeling, wind-tunnel testing with small models, and testing of bench-scale models in a wind tunnel and outdoors in the wind. This project determined that the wind fin approach is technically feasible and likely to be commercially viable. Project results suggest that this new technology has the potential to harvest wind energy at approximately half the system cost of wind turbines in the 10kW range. Overall, the project demonstrated that the wind fin technology has the potential to increase the economic viability of small wind-power generation. In addition, it has the potential to eliminate lethality to birds and bats, overcome public objections to the aesthetics of wind-power machines, and significantly expand wind-power’s contribution to the national energy supply.

  16. Wind Power Forecasting Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind Industry

  17. Wind Power Integration: Exploring Impacts and Alternatives

    E-Print Network [OSTI]

    Walter, M.Todd

    Wind Power Integration: Exploring Impacts and Alternatives Assist. Prof. C sustainable sources of energy. The idea of harnessing wind energy has been there have been no less than fifteen in-depth wind integration studies

  18. Low-Maintenance Wind Power System

    E-Print Network [OSTI]

    Rasson, Joseph E

    2010-01-01T23:59:59.000Z

    with widespread adoption of wind energy. The project hasProject: Low-Maintenance Wind Power System Summary of theImproved Vertical Axis Wind Turbine and Aerodynamic Control

  19. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01T23:59:59.000Z

    impacts of wind energy facilities on the sales prices ofprices were affected by views of and proximity to wind energyprices, and locations in electronic form from local assessors; and (3) the representativeness of the types of wind energy

  20. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    of wind energy lower, regardless of the policy environment.price of wind energy in the US. ” Energy Policy, Volume 37,to Energy Policy Abstract: On a $-per-kW basis, wind turbine

  1. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01T23:59:59.000Z

    Economic Analysis of a Wind Farm in Nantucket Sound. BeaconDent, P. , Property Stigma: Wind Farms Are Just the LatestModeling the Impact of Wind Farms on House Prices in the UK.

  2. Saturation wind power potential and its implications for wind energy

    E-Print Network [OSTI]

    Saturation wind power potential and its implications for wind energy Mark Z. Jacobsona,1 at 10 km above ground in the jet streams assuming airborne wind energy devices ("jet stream the theoretical limit of wind energy available at these altitudes, particularly because some recent studies

  3. Wind Powering America Initiative (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-01-01T23:59:59.000Z

    The U.S. Department of Energy's Wind Powering America initiative engages in technology market acceptance, barrier reduction, and technology deployment support activities. This fact sheet outlines ways in which the Wind Powering America team works to reduce barriers to appropriate wind energy deployment, primarily by focusing on six program areas: workforce development, communications and outreach, stakeholder analysis and resource assessment, wind technology technical support, wind power for Native Americans, and federal sector support and collaboration.

  4. Primer on Wind Power for Utility Applications

    SciTech Connect (OSTI)

    Wan, Y.

    2005-12-01T23:59:59.000Z

    The wind industry still faces many market barriers, some of which stem from utilities' lack of experience with the technology. Utility system operators and planners need to understand the effects of fluctuating wind power on system regulation and stability. Without high-frequency wind power data and realistic wind power plant models to analyze the problem, utilities often rely on conservative assumptions and worst-case scenarios to make engineering decisions. To remedy the situation, the National Renewable Energy Laboratory (NREL) has undertaken a project to record long-term, high-resolution (1-hertz [Hz]) wind power output data from large wind power plants in various regions. The objective is to systematically collect actual wind power data from large commercial wind power plants so that wind power fluctuations, their frequency distribution, the effects of spatial diversity, and the ancillary services of large commercial wind power plants can be analyzed. It also aims to provide the industry with nonproprietary wind power data in different wind regimes for system planning and operating impact studies. This report will summarize the results of data analysis performed at NREL and discuss the wind power characteristics related to power system operation and planning.

  5. Wind for Schools: A Wind Powering America Project (Brochure)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-08-01T23:59:59.000Z

    This brochure provides an overview of Wind Powering America's Wind for Schools Project, including a description of the project, the participants, funding sources, the basic configurations, and how interested parties can become involved.

  6. Wind for Schools: A Wind Powering America Project (Alaska) (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2010-02-01T23:59:59.000Z

    This brochure provides an overview of Wind Powering America's Wind for Schools Project, including a description of the project, the participants, funding sources, the basic configurations, and how interested parties can become involved.

  7. Wind Powering America Program Overview (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-04-01T23:59:59.000Z

    This fact sheet provides an overview of the U.S. Department of Energy's Wind Powering America Program.

  8. Carbon pricing, nuclear power and electricity markets

    SciTech Connect (OSTI)

    Cameron, R.; Keppler, J. H. [OECD Nuclear Energy Agency, 12, boulevard des Iles, 92130 Issy-les-Moulineaux (France)

    2012-07-01T23:59:59.000Z

    In 2010, the NEA in conjunction with the International Energy Agency produced an analysis of the Projected Costs of Electricity for almost 200 power plants, covering nuclear, fossil fuel and renewable electricity generation. That analysis used lifetime costs to consider the merits of each technology. However, the lifetime cost analysis is less applicable in liberalised markets and does not look specifically at the viewpoint of the private investor. A follow-up NEA assessment of the competitiveness of nuclear energy against coal- and gas-fired generation under carbon pricing has considered just this question. The economic competition in electricity markets is today between nuclear energy and gas-fired power generation, with coal-fired power generation not being competitive as soon as even modest carbon pricing is introduced. Whether nuclear energy or natural gas comes out ahead in their competition depends on a number of assumptions, which, while all entirely reasonable, yield very different outcomes. The analysis in this study has been developed on the basis of daily data from European power markets over the last five-year period. Three different methodologies, a Profit Analysis looking at historic returns over the past five years, an Investment Analysis projecting the conditions of the past five years over the lifetime of plants and a Carbon Tax Analysis (differentiating the Investment Analysis for different carbon prices) look at the issue of competitiveness from different angles. They show that the competitiveness of nuclear energy depends on a number of variables which in different configurations determine whether electricity produced from nuclear power or from CCGTs generates higher profits for its investors. These are overnight costs, financing costs, gas prices, carbon prices, profit margins (or mark-ups), the amount of coal with carbon capture and electricity prices. This paper will present the outcomes of the analysis in the context of a liberalised electricity market, looking at the impact of the seven key variables and provide conclusions on the portfolio that a utility would be advised to maintain, given the need to limit risks but also to move to low carbon power generation. Such portfolio diversification would not only limit financial investor risk, but also a number of non-financial risks (climate change, security of supply, accidents). (authors)

  9. New DOE Report Finds Wind Power Can Serve as Cost-Effective Long...

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

    prices will remain low for many years to come. Drawing on a sizable sample of long-term power purchase agreements (PPAs) between existing wind projects and utilities in the...

  10. Wind Power FAQ

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to global warmingGlobalPower

  11. Distributed Low-Complexity Controller for Wind Power Plant in Derated Benjamin Biegel Daria Madjidian Vedrana Spudic Anders Rantzer Jakob Stoustrup

    E-Print Network [OSTI]

    sug- gest that wind turbines are well suited to provide frequency regulating services as the primary at low prices, possibly even negative prices [2]. The difficulties in integrating wind energy the available wind energy and the produced energy. A wind power plant with all turbines running in such delta

  12. Wind power communication Design and implementation

    E-Print Network [OSTI]

    Wind power communication ­ Design and implementation of test environment for IEC61850/UCA2 Elforsk rapport 02:16 Anders Johnsson, Jörgen Svensson April 2002 #12;#12;Wind power communication ­ Design 2002 #12;#12;Wind power communication ­ Design and implementation of test environment for IEC61850/UCA2

  13. Wind Power Forecasting andWind Power Forecasting and Electricity Market Operations

    E-Print Network [OSTI]

    Kemner, Ken

    forecasting methods and better integration of advanced wind power forecasts into system and plant operations and wind power plants) ­ Review and assess current practices Propose and test new and improved approachesWind Power Forecasting andWind Power Forecasting and Electricity Market Operations Audun Botterud

  14. PSO2004/FU5766 Improved wind power prediction

    E-Print Network [OSTI]

    PSO2004/FU5766 Improved wind power prediction Optimal combined wind power forecasts using exogenous prediction can be accomplished. The application of combining wind power forecasts for certain wind power

  15. Wind Vision Chapter 2: Wind Power in the United States

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

    M; Holtinnen, H.; Sder, L.; Clark, C.; Pineda, I. "Markets to Facilitate Wind and Solar Energy Integration in the Bulk Power Supply: An IEA Task 25 Collaboration."...

  16. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    some or all of the wind generation. ? 118 Because Chinahas grown faster than wind generation, wind-generatedhtm. ?Analysis of UK Wind Power Generation: November 2008 to

  17. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    by which wind turbine technology converts wind energy intoWind energy developers – usually power companies combined with a wind turbine

  18. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    Offshore Wind Power: Underlying Factors. Energy Policy. 35(Wind Development on Local Property Values. Renewable Energy Policy

  19. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01T23:59:59.000Z

    Offshore Wind Power: Underlying Factors. Energy Policy,Wind Development on Local Property Values. Renewable Energy Policy

  20. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    by exploring the potential impact of wind projects on homethe three potential stigmas surrounding wind facilities.investigated the potential impacts of wind power facilities

  1. Sandia National Laboratories: Wind Power

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

    Wind Energy Staff On March 24, 2011, in Wind Energy On November 10, 2010, in Wind Plant Opt. Rotor Innovation Materials, Reliability & Standards Siting & Barrier Mitigation...

  2. Offshore Wind Power Farm Environmental Impact Assessment

    E-Print Network [OSTI]

    Horns Rev Offshore Wind Power Farm Environmental Impact Assessment on Water Quality #12;Prepared with a planned 150 MW offshore wind farm at Horns Rev, an assessment was made of the effects the wind farm would for the preparation of EIA studies for offshore wind farms." Horns Rev is situated off Blåvands Huk, which is Denmark

  3. Engineering innovation to reduce wind power COE

    SciTech Connect (OSTI)

    Ammerman, Curtt Nelson [Los Alamos National Laboratory

    2011-01-10T23:59:59.000Z

    There are enough wind resources in the US to provide 10 times the electric power we currently use, however wind power only accounts for 2% of our total electricity production. One of the main limitations to wind use is cost. Wind power currently costs 5-to-8 cents per kilowatt-hour, which is more than twice the cost of electricity generated by burning coal. Our Intelligent Wind Turbine LDRD Project is applying LANL's leading-edge engineering expertise in modeling and simulation, experimental validation, and advanced sensing technologies to challenges faced in the design and operation of modern wind turbines.

  4. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    the premium price model offers renewable power generators arenewable power generators in a market-dependent, premium price model.model. However, if market electricity prices increase past the FIT payment level, renewable power

  5. Datang Jilin Wind Power Stockholding Co Ltd Formerly Jilin Noble...

    Open Energy Info (EERE)

    Stockholding Co Ltd Formerly Jilin Noble Wind Power Stockholding Co Ltd Jump to: navigation, search Name: Datang Jilin Wind Power Stockholding Co Ltd(Formerly Jilin Noble Wind...

  6. Factors driving wind power development in the United States

    SciTech Connect (OSTI)

    Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

    2003-05-15T23:59:59.000Z

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,500 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states that have achieved a substantial amount of wind energy investment. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  7. Wind Power Today, 2010, Wind and Water Power Program (WWPP)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofofto PurchaseAprilWind Power

  8. 20% Wind Energy by 2030 - Chapter 5: Wind Power Siting and Environment...

    Energy Savers [EERE]

    5: Wind Power Siting and Environmental Effects Summary Slides 20% Wind Energy by 2030 - Chapter 5: Wind Power Siting and Environmental Effects Summary Slides Environment and siting...

  9. Volatility of Power Grids Under Real-Time Pricing

    E-Print Network [OSTI]

    Roozbehani, Mardavij

    The paper proposes a framework for modeling and analysis of the dynamics of supply, demand, and clearing prices in power systems with real-time retail pricing and information asymmetry. Characterized by passing on the ...

  10. Relationship Between Wind Generation and Balancing Energy Market Prices in ERCOT: 2007-2009

    SciTech Connect (OSTI)

    Nicholson, E.; Rogers, J.; Porter, K.

    2010-11-01T23:59:59.000Z

    This paper attempts to measure the average marginal effects of wind generation on the balancing-energy market price in ERCOT with the help of econometric analysis.

  11. Derivation of Locational Marginal Prices for Restructured Wholesale Power Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Derivation of Locational Marginal Prices for Restructured Wholesale Power Markets Haifeng Liu restructured wholesale power markets, the detailed derivation of LMPs as actually used in industry practice Operator (MISO). Keywords: Locational marginal pricing, wholesale power market, AC optimal power flow, DC

  12. Sandia Energy - Wind Vision 2015: A New Era for Wind Power in...

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

    Wind Power in the United States Home Stationary Power Energy Conversion Efficiency Wind Energy Special Programs Wind Vision 2015: A New Era for Wind Power in the United States...

  13. Power and Frequency Control as it Relates to Wind-Powered Generation

    E-Print Network [OSTI]

    Lacommare, Kristina S H

    2011-01-01T23:59:59.000Z

    of large amounts of wind power production might requirewill be satisfactory as wind power provides an increasing64   7.2   Wind Power in Relation to System

  14. The Value of Wind Power Forecasting

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

    Wind Power Forecasting Preprint Debra Lew and Michael Milligan National Renewable Energy Laboratory Gary Jordan and Richard Piwko GE Energy Presented at the 91 st American...

  15. A survey on wind power ramp forecasting.

    SciTech Connect (OSTI)

    Ferreira, C.; Gama, J.; Matias, L.; Botterud, A.; Wang, J. (Decision and Information Sciences); (INESC Porto)

    2011-02-23T23:59:59.000Z

    The increasing use of wind power as a source of electricity poses new challenges with regard to both power production and load balance in the electricity grid. This new source of energy is volatile and highly variable. The only way to integrate such power into the grid is to develop reliable and accurate wind power forecasting systems. Electricity generated from wind power can be highly variable at several different timescales: sub-hourly, hourly, daily, and seasonally. Wind energy, like other electricity sources, must be scheduled. Although wind power forecasting methods are used, the ability to predict wind plant output remains relatively low for short-term operation. Because instantaneous electrical generation and consumption must remain in balance to maintain grid stability, wind power's variability can present substantial challenges when large amounts of wind power are incorporated into a grid system. A critical issue is ramp events, which are sudden and large changes (increases or decreases) in wind power. This report presents an overview of current ramp definitions and state-of-the-art approaches in ramp event forecasting.

  16. Pricing for Uplink Power Control in Cognitive Radio Networks

    E-Print Network [OSTI]

    Wang, Xinbing

    1 Pricing for Uplink Power Control in Cognitive Radio Networks Hui Yu, Lin Gao, Zheng Li, Xinbing of the proposed pricing scheme. Keywords: Cognitive radio, power control, non-cooperative game, profit management problems such as power control quite complicated. Wireless radio devices with "cognitive" ability

  17. Wind power forecasting : state-of-the-art 2009.

    SciTech Connect (OSTI)

    Monteiro, C.; Bessa, R.; Miranda, V.; Botterud, A.; Wang, J.; Conzelmann, G.; Decision and Information Sciences; INESC Porto

    2009-11-20T23:59:59.000Z

    Many countries and regions are introducing policies aimed at reducing the environmental footprint from the energy sector and increasing the use of renewable energy. In the United States, a number of initiatives have been taken at the state level, from renewable portfolio standards (RPSs) and renewable energy certificates (RECs), to regional greenhouse gas emission control schemes. Within the U.S. Federal government, new energy and environmental policies and goals are also being crafted, and these are likely to increase the use of renewable energy substantially. The European Union is pursuing implementation of its ambitious 20/20/20 targets, which aim (by 2020) to reduce greenhouse gas emissions by 20% (as compared to 1990), increase the amount of renewable energy to 20% of the energy supply, and reduce the overall energy consumption by 20% through energy efficiency. With the current focus on energy and the environment, efficient integration of renewable energy into the electric power system is becoming increasingly important. In a recent report, the U.S. Department of Energy (DOE) describes a model-based scenario, in which wind energy provides 20% of the U.S. electricity demand in 2030. The report discusses a set of technical and economic challenges that have to be overcome for this scenario to unfold. In Europe, several countries already have a high penetration of wind power (i.e., in the range of 7 to 20% of electricity consumption in countries such as Germany, Spain, Portugal, and Denmark). The rapid growth in installed wind power capacity is expected to continue in the United States as well as in Europe. A large-scale introduction of wind power causes a number of challenges for electricity market and power system operators who will have to deal with the variability and uncertainty in wind power generation when making their scheduling and dispatch decisions. Wind power forecasting (WPF) is frequently identified as an important tool to address the variability and uncertainty in wind power and to more efficiently operate power systems with large wind power penetrations. Moreover, in a market environment, the wind power contribution to the generation portofolio becomes important in determining the daily and hourly prices, as variations in the estimated wind power will influence the clearing prices for both energy and operating reserves. With the increasing penetration of wind power, WPF is quickly becoming an important topic for the electric power industry. System operators (SOs), generating companies (GENCOs), and regulators all support efforts to develop better, more reliable and accurate forecasting models. Wind farm owners and operators also benefit from better wind power prediction to support competitive participation in electricity markets against more stable and dispatchable energy sources. In general, WPF can be used for a number of purposes, such as: generation and transmission maintenance planning, determination of operating reserve requirements, unit commitment, economic dispatch, energy storage optimization (e.g., pumped hydro storage), and energy trading. The objective of this report is to review and analyze state-of-the-art WPF models and their application to power systems operations. We first give a detailed description of the methodologies underlying state-of-the-art WPF models. We then look at how WPF can be integrated into power system operations, with specific focus on the unit commitment problem.

  18. The Power of Fair Pricing Mechanisms Christine Chung1

    E-Print Network [OSTI]

    Chung, Christine

    with arbitrary bounded non-decreasing convex production cost functions, we present a proportional pricingThe Power of Fair Pricing Mechanisms Christine Chung1 , Katrina Ligett2 , Kirk Pruhs3 , and Aaron L of truthful, monotone ("fair") allocation and pricing functions for resource-constrained auc- tion mechanisms

  19. Hydraulic Wind Power Transfer Technology Afshin Izadian

    E-Print Network [OSTI]

    Zhou, Yaoqi

    Hydraulic Wind Power Transfer Technology Afshin Izadian Purdue School of Engineering and Technology of renewable energy tax credits in general and a gap in wind energy breakthroughs in particular have caused high cost of wind energy and technological dependency on countries such as China and Germany. Reducing

  20. Wind Farm Power System Model Development: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Butterfield, C. P.

    2004-07-01T23:59:59.000Z

    In some areas, wind power has reached a level where it begins to impact grid operation and the stability of local utilities. In this paper, the model development for a large wind farm will be presented. Wind farm dynamic behavior and contribution to stability during transmission system faults will be examined.

  1. Wind Powering America's Wind for Schools Project: Summary Report

    SciTech Connect (OSTI)

    Baring-Gould, I.; Newcomb, C.

    2012-06-01T23:59:59.000Z

    This report provides an overview of the U.S. Department of Energy, Wind Powering America, Wind for Schools project. It outlines teacher-training activities and curriculum development; discusses the affiliate program that allows school districts and states to replicate the program; and contains reports that provide an update on activities and progress in the 11 states in which the Wind for Schools project operates.

  2. Previous Wind Power Announcements (generation/wind)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah ProjectPRE-AWARDenergyEnergytransmission-rates Sign In About |Wind

  3. PSO (FU 2101) Ensemble-forecasts for wind power

    E-Print Network [OSTI]

    PSO (FU 2101) Ensemble-forecasts for wind power Analysis of the Results of an On-line Wind Power Ensemble- forecasts for wind power (FU2101) a demo-application producing quantile forecasts of wind power correct) quantile forecasts of the wind power production are generated by the application. However

  4. DOE Report Tracks Maturation of U.S. Wind Industry

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2007-01-01T23:59:59.000Z

    prices and/or negotiated power purchase agreements as muchintermediaries that purchase wind power under contract and

  5. Xi an Nordex Wind Turbine Co Ltd aka Xi an Weide Wind Power Equipment...

    Open Energy Info (EERE)

    Wind Turbine Co Ltd aka Xi an Weide Wind Power Equipment Co Ltd Jump to: navigation, search Name: Xi'an Nordex Wind Turbine Co Ltd (aka Xi'an Weide Wind Power Equipment Co Ltd)...

  6. Power Transformer Application for Wind Plant Substations

    SciTech Connect (OSTI)

    Behnke, M. R. [IEEE PES Wind Plant Collector System Design Working Group; Bloethe, W.G. [IEEE PES Wind Plant Collector System Design Working Group; Bradt, M. [IEEE PES Wind Plant Collector System Design Working Group; Brooks, C. [IEEE PES Wind Plant Collector System Design Working Group; Camm, E H [IEEE PES Wind Plant Collector System Design Working Group; Dilling, W. [IEEE PES Wind Plant Collector System Design Working Group; Goltz, B. [IEEE PES Wind Plant Collector System Design Working Group; Li, J. [IEEE PES Wind Plant Collector System Design Working Group; Niemira, J. [IEEE PES Wind Plant Collector System Design Working Group; Nuckles, K. [IEEE PES Wind Plant Collector System Design Working Group; Patino, J. [IEEE PES Wind Plant Collector System Design Working Group; Reza, M [IEEE PES Wind Plant Collector System Design Working Group; Richardson, B. [IEEE PES Wind Plant Collector System Design Working Group; Samaan, N. [IEEE PES Wind Plant Collector System Design Working Group; Schoene, Jens [IEEE PES Wind Plant Collector System Design Working Group; Smith, Travis M [ORNL; Snyder, Isabelle B [ORNL; Starke, Michael R [ORNL; Walling, R. [IEEE PES Wind Plant Collector System Design Working Group; Zahalka, G. [IEEE PES Wind Plant Collector System Design Working Group

    2010-01-01T23:59:59.000Z

    Wind power plants use power transformers to step plant output from the medium voltage of the collector system to the HV or EHV transmission system voltage. This paper discusses the application of these transformers with regard to the selection of winding configuration, MVA rating, impedance, loss evaluation, on-load tapchanger requirements, and redundancy.

  7. Wind Power: How Much, How Soon, and At What Cost?

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01T23:59:59.000Z

    on U.S. Wind Power Installation, Cost, and Performanceaccess the nation's lowest-cost wind resources can be builtpressure on installed wind project costs while the industry

  8. Global ocean wind power sensitivity to surface layer stability

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2009-01-01T23:59:59.000Z

    2005), Evaluation of global wind power, J. Geophys. Res. ,Pryor (2003), Can satellite sampling of offshore wind speedsrealistically represent wind speed distributions? , J. Appl.

  9. RELIABILITY OF WIND POWER FROM DISPERSED SITES: A PRELIMINARY ASSESSMENT

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01T23:59:59.000Z

    Coincidence of Demand and Wind Resource Diurnal PowerOutput Variations for Three Wind Regimes List of TablesCAPACITY CREDIT FOR WIND ARRAYS: THE PROBLEM . . . . . . .

  10. EWEC 2006, Athens, The Anemos Wind Power Forecasting Platform Technology The Anemos Wind Power Forecasting Platform Technology -

    E-Print Network [OSTI]

    Boyer, Edmond

    the fluctuating output from wind farms into power plant dispatching and energy trading, wind power predictionsEWEC 2006, Athens, The Anemos Wind Power Forecasting Platform Technology 1 The Anemos Wind Power a professional, flexible platform for operating wind power prediction models, laying the main focus on state

  11. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    result, these prices do not represent wind energy generationprices presumably reflect only the value of energy, whereas wind

  12. Sandia National Laboratories: Wind Power

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

    known that large amounts of wind energy are not effectively harvested in large wind farms because the turbines "shadow" each other and reduce the output of the turbines located...

  13. Value of Wind Power Forecasting

    SciTech Connect (OSTI)

    Lew, D.; Milligan, M.; Jordan, G.; Piwko, R.

    2011-04-01T23:59:59.000Z

    This study, building on the extensive models developed for the Western Wind and Solar Integration Study (WWSIS), uses these WECC models to evaluate the operating cost impacts of improved day-ahead wind forecasts.

  14. PSERC 98-22 "Market Power and Price Volatility in

    E-Print Network [OSTI]

    PSERC 98-22 "Market Power and Price Volatility in Restructured Markets for Electricity" Tim Mount/IEEE Service Center/445 Hoes Lane/P.O. Box 1331/Piscataway, NJ 08855-1331, USA. Telephone: + Intl. 908-562-3966. #12;MARKET POWER AND PRICE VOLATILITY IN RESTRUCTURED MARKETS FOR ELECTRICITY Tim Mount School

  15. Impact of Wind Power Plants on Voltage and Transient Stability of Power Systems

    SciTech Connect (OSTI)

    Muljadi, E.; Nguyen, Tony B.; Pai, M. A.

    2008-09-30T23:59:59.000Z

    A standard three-machine, nine-bus wind power system is studied and augmented by a radially connected wind power plant that contains 22 wind turbine generators.

  16. Active Power Controls from Wind Power: Bridging the Gaps

    SciTech Connect (OSTI)

    Ela, E.; Gevorgian, V.; Fleming, P.; Zhang, Y. C.; Singh, M.; Muljadi, E.; Scholbrook, A.; Aho, J.; Buckspan, A.; Pao, L.; Singhvi, V.; Tuohy, A.; Pourbeik, P.; Brooks, D.; Bhatt, N.

    2014-01-01T23:59:59.000Z

    This paper details a comprehensive study undertaken by the National Renewable Energy Laboratory, Electric Power Research Institute, and the University of Colorado to understand how the contribution of wind power providing active power control (APC) can benefit the total power system economics, increase revenue streams, improve the reliability and security of the power system, and provide superior and efficient response while reducing any structural and loading impacts that may reduce the life of the wind turbine or its components. The study includes power system simulations, control simulations, and actual field tests using turbines at NREL's National Wind Technology Center (NWTC). The study focuses on synthetic inertial control, primary frequency control, and automatic generation control, and analyzes timeframes ranging from milliseconds to minutes to the lifetime of wind turbines, locational scope ranging from components of turbines to large wind plants to entire synchronous interconnections, and additional topics ranging from economics to power system engineering to control design.

  17. RELIABILITY OF WIND POWER FROM DISPERSED SITES: A PRELIMINARY ASSESSMENT

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01T23:59:59.000Z

    ON METHODOLOGY: FROM WIND POWER FREQUENCY TO LOSS-OF-LOADJ.P. , "Some Aspects of Wind Power Statistics, " J. of Appl.J • J METHODOLOGY: FROM WIND POWER FREQUENCY TO LOSS-OF-LOAD

  18. Global ocean wind power sensitivity to surface layer stability

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2009-01-01T23:59:59.000Z

    Evaluation of global wind power, J. Geophys. Res. , 110,W. Tang, and X. Xie (2008), Wind power distribution over theApproach to Short-Term Wind Power Prediction, 1st ed. ,

  19. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    adds 18.9 GW of new wind power capacity in 2010. ? GlobalEnd Challenged Subsidies in Wind Power Case. ? Internationalemergence in the global wind power industry. ? Ph. D.

  20. Wind Power: How Much, How Soon, and At What Cost?

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01T23:59:59.000Z

    Evaluation of Global Wind Power." Journal of Geophysical2008. "The Economics of Wind Power with Energy Storage."Economics of Large-Scale Wind Power in a Carbon Constrained

  1. Wind Power: How Much, How Soon, and At What Cost?

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01T23:59:59.000Z

    World's Electricity from Wind Power by 2020." Prepared forof the 2004 Global Wind Power Conference. 29-31 March.of Storage Technologies to Wind Power." NREL/CP-670-43510.

  2. RELIABILITY OF WIND POWER FROM DISPERSED SITES: A PRELIMINARY ASSESSMENT

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01T23:59:59.000Z

    ON METHODOLOGY: FROM WIND POWER FREQUENCY TO LOSS-OF-LOADJ.P. , "Some Aspects of Wind Power Statistics, " J. of Appl.S£CTION Reliability of Wind Power From Dispersed Sites: A Pr

  3. PSO (FU 2101) Ensemble-forecasts for wind power

    E-Print Network [OSTI]

    PSO (FU 2101) Ensemble-forecasts for wind power Wind Power Ensemble Forecasting Using Wind Speed the problems of (i) transforming the meteorological ensembles to wind power ensembles and, (ii) correcting) data. However, quite often the actual wind power production is outside the range of ensemble forecast

  4. The amount of power in the wind is very dependent on the speed of the wind. Because the power in the wind

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    the potential benefits of a wind power installation, wind speeds and other characteristics of a site's wind for potential wind power sites. However, these maps do not elimi- nate the need for more precise and thoroughThe amount of power in the wind is very dependent on the speed of the wind. Because the power

  5. Dynamic Models for Wind Turbines and Wind Power Plants

    SciTech Connect (OSTI)

    Singh, M.; Santoso, S.

    2011-10-01T23:59:59.000Z

    The primary objective of this report was to develop universal manufacturer-independent wind turbine and wind power plant models that can be shared, used, and improved without any restrictions by project developers, manufacturers, and engineers. Manufacturer-specific models of wind turbines are favored for use in wind power interconnection studies. While they are detailed and accurate, their usages are limited to the terms of the non-disclosure agreement, thus stifling model sharing. The primary objective of the work proposed is to develop universal manufacturer-independent wind power plant models that can be shared, used, and improved without any restrictions by project developers, manufacturers, and engineers. Each of these models includes representations of general turbine aerodynamics, the mechanical drive-train, and the electrical characteristics of the generator and converter, as well as the control systems typically used. To determine how realistic model performance is, the performance of one of the models (doubly-fed induction generator model) has been validated using real-world wind power plant data. This work also documents selected applications of these models.

  6. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    Dissecting Wind Turbine Costs. ” WindStats Newsletter, vol.A. Laxson. 2006. Wind Turbine Design Cost and Scaling Model.they can impact wind turbine costs but fall mostly outside

  7. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    Hand, A. Laxson. 2006. Wind Turbine Design Cost and Scalingof a Multi-MegaWatt Wind Turbine. ” Renewable Energy, vol.David. 2008. “Dissecting Wind Turbine Costs. ” WindStats

  8. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    cycle assessment of a wind farm and related externalities. ”and onshore sited wind farms. Document number 200128,

  9. Sandia National Laboratories: wind turbines produce rated power

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

    wind turbines produce rated power Increasing the Scaled Wind Farm Technology Facility's Power Production On April 7, 2014, in Energy, Facilities, News, News & Events, Partnership,...

  10. Conventional Hydropower Technologies, Wind And Water Power Program...

    Office of Environmental Management (EM)

    Conventional Hydropower Technologies, Wind And Water Power Program (WWPP) (Fact Sheet) Conventional Hydropower Technologies, Wind And Water Power Program (WWPP) (Fact Sheet) The US...

  11. Optimal combined wind power forecasts using exogeneous variables

    E-Print Network [OSTI]

    Optimal combined wind power forecasts using exogeneous variables Fannar ¨Orn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January

  12. Local Content Requirements in British Columbia's Wind Power Industry

    E-Print Network [OSTI]

    Pedersen, Tom

    Local Content Requirements in British Columbia's Wind Power Industry May Hao, Matt Mackenzie, Alex..................................................................................8 4.1 Current Wind Power Projects

  13. Analysis of Wind Power Ramping Behavior in ERCOT

    SciTech Connect (OSTI)

    Wan, Y. H.

    2011-03-01T23:59:59.000Z

    This report analyzes the wind power ramping behavior using 10-minute and hourly average wind power data from ERCOT and presents statistical properties of the large ramp events.

  14. Pollution and the price of power

    SciTech Connect (OSTI)

    Dewees, D.N. [University of Toronto, Toronto, ON (Canada). Dept. of Economics

    2008-07-01T23:59:59.000Z

    This study analyses the un-priced environmental harm caused by generating electricity from fossil fuels in the ECAR control region south of the Great Lakes in 2004 and again in 2015 when the recent Clean Air Interstate Rule will have its full effect. Using existing damage values, we estimate wholesale electricity under-pricing for coal-fired plants at about $40 per MWh in 2004, almost as much again as the $45/MWh actual price. Averaging across all fuels, the price of electricity was more than $30/MWh too low. The under-pricing will still be $18/MWh for coal plants and $15 for all generation sources in 2015, a decade after CAIR was adopted. Recognizing this environmental price now could reduce pollution levels, increase energy conservation and lead to wiser choices of new generation technology.

  15. Stability-Constrained Optimal Power Flow and Its Application to Pricing Power System Stabilizers

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    1 Stability-Constrained Optimal Power Flow and Its Application to Pricing Power System Stabilizers locational marginal prices. A power system stabilizer (PSS) is then introduced in the test system Terms-- Angle stability, power system oscillations, elec- tricity markets, optimal power flow

  16. Wind Power Reliability: Breaking Down a Barrier

    Broader source: Energy.gov [DOE]

    The steady increase of wind power on the grid presents new challenges for power system operators charged with making sure the grid stays up and running. "We need to ensure that we are going down a path that will lead to better reliability [with wind power]," said Bob Zavadil, an executive vice president at EnerNex Corporation in Knoxville, Tenn., a firm specializing in renewable energy grid interconnection and integration. "If this piece isn't done, there will be problems." EnerNex has spent the last decade perfecting wind turbine and plant models that test a wind plant's influence on the grid and its ability to provide grid support. In its latest effort, the company is using American Recovery and Reinvestment Act funds worth $750,000 to develop documentation and validations of computer wind turbine models.

  17. Challenges in Predicting Power Output from Offshore Wind Farms

    E-Print Network [OSTI]

    Pryor, Sara C.

    Challenges in Predicting Power Output from Offshore Wind Farms R. J. Barthelmie1 and S. C. Pryor2 Abstract: Offshore wind energy is developing rapidly in Europe and the trend is towards large wind farms an offshore wind farm, accurate assessment of the wind resource/power output from the wind farm is a necessity

  18. PSO2004/FU5766 Improved wind power prediction

    E-Print Network [OSTI]

    PSO2004/FU5766 Improved wind power prediction Spatio-temporal modelling of short-term wind power of wind power generation in power systems. The quality of the forecast is very important, and a reliable estimate of the uncertainty of the forecast is known to be essential. Today the forecasts of wind power

  19. Auction Basics for Wholesale Power Markets: Objectives and Pricing Rules

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Auction Basics for Wholesale Power Markets: Objectives and Pricing Rules Leigh Tesfatsion, Member to U.S. restructured wholesale power markets, i.e., centrally-administered wholesale power markets and illustrated. Complicating factors specific to wholesale power markets are clarified, and recent advances

  20. UNIVERSITY OF CALIFORNIA, Surface Wind Speed Distributions: Implications for Climate and Wind Power

    E-Print Network [OSTI]

    Zender, Charles

    and Wind Power DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR . . . . . . . . . . . . . . . . . 19 1.3 Global Ocean Wind Power and Surface Layer Stability . . . . . . . . 23 1.3.1 Global Winds . . . . . . 27 1.4 Usable Offshore Wind Power . . . . . . . . . . . . . . . . . . . . . . . 31 1.4.1 Wind Turbine

  1. Wind Power Amercia Final Report

    SciTech Connect (OSTI)

    Brian Spangler, Kathi Montgomery and Paul Cartwright

    2012-01-30T23:59:59.000Z

    The objective of this grant was to further the development of Montana�¢����s vast wind resources for small, medium and large scale benefits to Montana and the nation. This was accomplished through collaborative work with wind industry representatives, state and local governments, the agricultural community and interested citizens. Through these efforts DEQ was able to identify development barriers, educate and inform citizens as well as participate in regional and national dialogue that will spur the development of wind resources.

  2. On the Wind Power Input to the Ocean General Circulation

    E-Print Network [OSTI]

    Zhai, Xiaoming

    The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using available observations, focusing on the role of the synoptically ...

  3. Wind Farm Aggregation Impact on Power Quality: Preprint

    SciTech Connect (OSTI)

    Bialasiewicz, J. T.; Muljadi, E.

    2006-11-01T23:59:59.000Z

    This paper explores the effects of wind farm power fluctuations on the power network. A dynamic simulation of a wind farm is performed and the spatial distribution of the wind turbines is considered.

  4. Wind Powering America FY06 Activities Summary

    SciTech Connect (OSTI)

    Not Available

    2007-02-01T23:59:59.000Z

    The Wind Powering America FY06 Activities Summary reflects the accomplishments of our state wind working groups, our programs at the National Renewable Energy Laboratory, and our partner organizations. The national WPA team remains a leading force for moving wind energy forward in the United States. WPA continues to work with its national, regional, and state partners to communicate the opportunities and benefits of wind energy to a diverse set of stakeholders. WPA now has 29 state wind working groups (welcoming New Jersey, Indiana, Illinois, and Missouri in 2006) that form strategic alliances to communicate wind's benefits to the state stakeholders. More than 120 members of national and state public and private sector organizations from 34 states attended the 5th Annual WPA All-States Summit in Pittsburgh in June.

  5. Wind Power in China | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapers Home Kyoung's pictureWind Power Energia Jump to:Wind PowerWind

  6. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    Mark Bolinger. 2011. 2010 Wind Technologies Market Report.G. Sinden, A. Zervos. 2011a. “Wind Energy. ” In IPCC SpecialWashington, D.C. : American Wind Energy Association. Aubrey,

  7. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    driven down wind energy costs (for a brief survey of themore on driving the cost of wind energy lower, regardless ofstill, whether the cost of wind energy continues down the

  8. Sandia National Laboratories: Wind Power

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

    in Matlab which simplifies the process of creating a three-dimensional model of a wind turbine blade. The graphical, user-friendly tool manages all blade information including...

  9. ,"New Mexico Natural Gas Price Sold to Electric Power Consumers...

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

    ,,"(202) 586-8800",,,"3292015 10:05:26 PM" "Back to Contents","Data 1: New Mexico Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

  10. ,"New York Natural Gas Price Sold to Electric Power Consumers...

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

    ,,"(202) 586-8800",,,"2262015 9:13:19 AM" "Back to Contents","Data 1: New York Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

  11. Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Ela, E.; Milligan, M.

    2011-10-01T23:59:59.000Z

    This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

  12. Title: Ontario Wind Power Allocation Ontario Ministry of Natural Resources

    E-Print Network [OSTI]

    Title: Ontario Wind Power Allocation Data Creator / Copyright Owner: Ontario Ministry of Natural/A Updates: N/A Abstract: This data consists of a polygon shapefile, Wind Power Allocation Block. A Wind Power Allocation Block is an area that could be allocated for the exploration of wind power generation

  13. Automatic selection of tuning parameters in wind power prediction

    E-Print Network [OSTI]

    Automatic selection of tuning parameters in wind power prediction Lasse Engbo Christiansen (lec Report number: IMM-Technical Report-2007-12 Project title: Intelligent wind power prediction systems PSO The wind power forecasting system developed at DTU - the Wind Power Prediction Tool (WPPT) - predicts

  14. Environmentally Sound Design and Recycling of Future Wind Power Systems

    E-Print Network [OSTI]

    Environmentally Sound Design and Recycling of Future Wind Power Systems Presentation at the IEA R state-of-the-art wind power system Mapping current trends of wind power technologies and concepts Expert wind power systems Expert panel brainstorm on environmental aspects of decommissioning current

  15. Forecasting Uncertainty Related to Ramps of Wind Power Production

    E-Print Network [OSTI]

    Boyer, Edmond

    - namic reserve quantification [8], for the optimal oper- ation of combined wind-hydro power plants [5, 1Forecasting Uncertainty Related to Ramps of Wind Power Production Arthur Bossavy, Robin Girard - The continuous improvement of the accuracy of wind power forecasts is motivated by the increasing wind power

  16. Abstract--A novel methodology for economic evaluation of hydrogen storage for a mixed wind-nuclear power plant is

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    -nuclear power plant is presented in this article in a context of a "Hydrogen Economy". The simulation power plant production (MW) NP : nuclear power plant production (MW) CP : electrolyzer consumption (MW, IEEE THE FEASIBILITY OF HYDROGEN STORAGE FOR MIXED WIND-NUCLEAR POWER PLANTS #12;price scenario p

  17. MSU-Wind Applications Center: Wind Resource Worksheet Theoretical Power Calculation

    E-Print Network [OSTI]

    Dyer, Bill

    MSU-Wind Applications Center: Wind Resource Worksheet Theoretical Power Calculation Equations: A= swept area = air density v= velocity R= universal gas constant Steps: 1. Measure wind speed from fan. = ___________/(________*________)= _________kg/m3 5. Theoretical Power a. Low Setting Theoretical Wind Power i. Power= ½*______*______*______*.59

  18. ARTICLE IN PRESS Controlling power systems with price signals

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    power and stability problems caused by market/system interactions. The results suggest that controlARTICLE IN PRESS Controlling power systems with price signals Fernando L. Alvarado ECE Department 53705, United States Abstract This paper revisits the possibility of controlling the power system

  19. Wind Power (pbl/generation)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind Industry SoarsWind

  20. Testing Active Power Control from Wind Power at the National Wind Technology Center (NWTC) (Presentation)

    SciTech Connect (OSTI)

    Ela, E.

    2011-05-01T23:59:59.000Z

    In order to keep the electricity grid stable and the lights on, the power system relies on certain responses from its generating fleet. This presentation evaluates the potential for wind turbines and wind power plants to provide these services and assist the grid during critical times.

  1. Analysis of wind power for battery charging

    SciTech Connect (OSTI)

    Muljadi, E.; Drouilhet, S.; Holz, R. [National Renewable Energy Lab., Golden, CO (United States); Gevorgian, V. [University of Armenia, Yerevan (Armenia). State Engineering

    1995-11-01T23:59:59.000Z

    One type of wind-powered battery charging will be explored in this paper. It consists of a wind turbine driving a permanent magnet alternator and operates at variable speed. The alternator is connected to a battery bank via a rectifier. The characteristic of the system depends on the wind turbine, the alternator, and the system configuration. If the electrical load does not match the wind turbine, the performance of the system will be degraded. By matching the electrical load to the wind turbine, the system can be improved significantly. This paper analyzes the properties of the system components. The effects of parameter variation and the system configuration on the system performance are investigated. Two basic methods of shaping the torque-speed characteristic of the generator are presented. The uncompensated as well as the compensated systems will be discussed. Control strategies to improve the system performance will be explored. Finally, a summary of the paper will be presented in the last section.

  2. Abstract--Although Locational Marginal Pricing (LMP) plays an important role in many restructured wholesale power

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Abstract-- Although Locational Marginal Pricing (LMP) plays an important role in many Terms-- Locational marginal pricing, wholesale power market, AC optimal power flow, DC optimal power congestion by means of Locational Marginal Pricing (LMP), i.e., the pricing of power by the location

  3. Wind Farm Diversification and Its Impact on Power System Reliability

    E-Print Network [OSTI]

    Degeilh, Yannick

    2010-10-12T23:59:59.000Z

    of potential wind farming sites for which the wind patterns are statistically known. The objective is to demonstrate the benefits of diversification for the reliability of wind-sustained systems through the search for steadier overall power outputs. Three... power output. Reported studies are generally concerned about the selection of a given potential wind farming site based on its wind patterns [1], but not about the beneficial interactions that various power outputs from various wind parks may yield...

  4. Pricing trends in the US market for wholesale power

    SciTech Connect (OSTI)

    Geschwind, D.P.; Flucke, J.M. [Burns & McDonnell, Kansas City, MO (United States)

    1996-12-31T23:59:59.000Z

    Electricity markets in the United States have undergone an interesting transformation over the last several years. With the Energy Policy Act of 1992, Congress set the stage for competition in the wholesale market for electricity. No longer could one utility hold another utility hostage by denying it transmission access. Through increased choices of suppliers, purchasers of wholesale power have, in many cases, been able to lower their power costs by purchasing power on the open market, rather than purchasing power solely from an adjacent utility. Burns & McDonnell has worked with many wholesale power purchasers over recent years to evaluate the available options for lowering their power costs. In many of these evaluations, bid solicitations were conducted to identify specific wholesale power purchase options. Through these projects, Burns & McDonnell has been able to collect a substantial amount of data on the offered prices for wholesale power over the last several years. The purpose of this paper is to compare the purchase power data collected by Burns & McDonnell over the last several years in evaluating resource options for electric utilities. Reviews of this data suggest a declining pricing trend that reflects increasing levels of competition in the wholesale power market. The paper also illustrates the difficulty in constructing new generation that can produce electricity at a cost below that of the wholesale power market. Finally, the paper addresses the difference between average cost and marginal cost pricing as it relates to the cost of producing wholesale power for sale. The paper discusses the idea that some participants in the wholesale power market may actually be offering power for prices that are lower than their cost of producing electricity. The advantages and disadvantages of this pricing approach are examined.

  5. Wind Powering America FY07 Activities Summary

    SciTech Connect (OSTI)

    Not Available

    2008-02-01T23:59:59.000Z

    The Wind Powering America FY07 Activities Summary reflects the accomplishments of our state wind working groups, our programs at the National Renewable Energy Laboratory, and our partner organizations. The national WPA team remains a leading force for moving wind energy forward in the United States. WPA continues to work with its national, regional, and state partners to communicate the opportunities and benefits of wind energy to a diverse set of stakeholders. WPA now has 30 state wind working groups (welcoming Georgia and Wisconsin in 2007) that form strategic alliances to communicate wind's benefits to the state stakeholders. More than 140 members of national and state public and private sector organizations from 39 U.S. states and Canada attended the 6th Annual WPA All-States Summit in Los Angeles in June. WPA's emphasis remains on the rural agricultural sector, which stands to reap the significant economic development benefits of wind energy development. Additionally, WPA continues its program of outreach, education, and technical assistance to Native American communities, public power entities, and regulatory and legislative bodies.

  6. Analysis of Wind Power Generation of Texas 

    E-Print Network [OSTI]

    Liu, Z.; Haberl, J.; Subbarao, K.; Baltazar, J. C.

    2007-01-01T23:59:59.000Z

    1 ? Energy Systems Laboratory, Texas A&M University Page 1 ANALYSIS OF WIND POWER GENERATION OF TEXAS April 2007 Zi ?Betty? Liu, Ph.D., Jeff Haberl, Ph.D., P.E., Kris Subbarao, Ph.D., P.E., Juan-Carlos Baltazar, Ph.D. Energy Systems Laboratory... from Jul 2002 to Jan 2003 Degradation Analysis - On average, no degradation observed for nine wind farms analyzed over 4-year period. Application of Method 1 to New Site- Sweetwater I Wind Farm ? Energy Systems Laboratory, Texas A&M University Page 3...

  7. Wind Powering America Webinar: Wind Power Economics: Past, Present, and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofofto PurchaseAprilWindFuture Trends |

  8. ForPeerReview PUBLIC ACCEPTANCE OF OFFSHORE WIND POWER

    E-Print Network [OSTI]

    Firestone, Jeremy

    ForPeerReview PUBLIC ACCEPTANCE OF OFFSHORE WIND POWER PROJECTS IN THE UNITED STATES Journal: Wind, Andrew; Minerals Management Service Keywords: offshore wind power, public opinion, social acceptancePeerReview 1 PUBLIC ACCEPTANCE OF OFFSHORE WIND POWER PROJECTS IN THE UNITED STATES Jeremy Firestone*, Willett

  9. Power and Frequency Control as it Relates to Wind-Powered Generation

    E-Print Network [OSTI]

    Lacommare, Kristina S H

    2011-01-01T23:59:59.000Z

    per hour in both balancing areas Wind power ramps down atper hour in both balancing areas Wind power ramps down atbalancing area 2 Power and Frequency Control as it Relates to Wind-

  10. Power and Frequency Control as it Relates to Wind-Powered Generation

    E-Print Network [OSTI]

    Lacommare, Kristina S H

    2011-01-01T23:59:59.000Z

    Control as it Relates to Wind- Powered Generation AppendixControl as it Relates to Wind-Powered Generation JohnControl as it Relates to Wind-Powered Generation LBNL-XXXXX

  11. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    solar panels are too expensive to install domestically, China‘China,? as Chinese wind resources are abundant and wind power is cheaper than solar

  12. Wind Powering America: FY09 Activities Summary (Book)

    SciTech Connect (OSTI)

    Not Available

    2010-03-01T23:59:59.000Z

    The Wind Powering America FY09 Activities Summary reflects the accomplishments of state Wind Working Groups, WPA programs at the National Renewable Energy Laboratory, and partner organizations.

  13. Wind Powering America FY08 Activities Summary (Book)

    SciTech Connect (OSTI)

    Not Available

    2009-02-01T23:59:59.000Z

    The Wind Powering America FY08 Activities Summary reflects the accomplishments of state Wind Working Groups, WPA programs at the National Renewable Energy Laboratory, and partner organizations.

  14. Wind Power Project Repowering: History, Economics, and Demand...

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

    Wind Power Project Repowering: History, Economics, and Demand Wind Exchange Webinar Eric Lantz January 21, 2015 NRELPR-6A20-63591 2 Presentation Overview 1. Background - Concepts...

  15. Wind Farm Diversification and Its Impact on Power System Reliability 

    E-Print Network [OSTI]

    Degeilh, Yannick

    2010-10-12T23:59:59.000Z

    As wind exploitation gains prominence in the power industry, the extensive use of this intermittent source of power may heavily rely on our ability to select the best combination of wind farming sites that yields maximal reliability of power systems...

  16. Solar and wind power advancing

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables TablesPrices GlobalPetroleum3

  17. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    embodied in wind turbine materials (6.37 GJ/kW) from the3.5-3.7). Wind turbines are material-intensive. Eachmanufacturing these materials into turbine components may

  18. This introduction to wind power technology is meant to help communities in considering or planning wind

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    This introduction to wind power technology is meant to help communities in considering or planning wind power. It focuses on commercial and medium-scale wind turbine technology that is available in the United States. This fact sheet also discusses the integration of wind power into the electrical grid

  19. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    on the expansion of nuclear power to decouple China‘s energyoffshore wind power to be cheaper than nuclear power. 21 In

  20. Electricity for road transport, flexible power systems and wind...

    Open Energy Info (EERE)

    for road transport, flexible power systems and wind power (Smart Grid Project) Jump to: navigation, search Project Name Electricity for road transport, flexible power systems and...

  1. myPower Pricing Pilot Final Findings myPower Pricing Pilot Segments

    E-Print Network [OSTI]

    Understand how price signals can influence customers' energy usage patterns. Test customers' reaction that transferred energy pricing and interval consumption data to and from the customer's meter. To try multiple-way communications to transfer energy pricing and interval consumption data and allowed PSE&G to test customer

  2. Wind Power Plant Voltage Stability Evaluation: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Zhang, Y. C.

    2014-09-01T23:59:59.000Z

    Voltage stability refers to the ability of a power system to maintain steady voltages at all buses in the system after being subjected to a disturbance from a given initial operating condition. Voltage stability depends on a power system's ability to maintain and/or restore equilibrium between load demand and supply. Instability that may result occurs in the form of a progressive fall or rise of voltages of some buses. Possible outcomes of voltage instability are the loss of load in an area or tripped transmission lines and other elements by their protective systems, which may lead to cascading outages. The loss of synchronism of some generators may result from these outages or from operating conditions that violate a synchronous generator's field current limit, or in the case of variable speed wind turbine generator, the current limits of power switches. This paper investigates the impact of wind power plants on power system voltage stability by using synchrophasor measurements.

  3. Clear Wind Renewable Power | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergy Offshore Place:Wind EnergyCielo Wind PowerWaterPower

  4. Wind Power Renewables | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapers Home Kyoung's pictureWind Power Energia Jump to:Wind Power

  5. Buyer Power and Price Discrimination: The Case of

    E-Print Network [OSTI]

    Feigon, Brooke

    1 Buyer Power and Price Discrimination: The Case of the UK Care Homes Market Ruth Hancock: UK Local Authorities purchase care home places on behalf of a large group of people following small providers. This may give local authorities buyer power. We show the consequences of substantial

  6. PBS: Wind Power for Educators

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartmentOutreachDepartment ofProgram49, thePAGEPART I -PBS: Wind

  7. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    woes hamper China wind farms‘ push for profitability. ?China adds 18.9 GW of new wind power capacity in 2010. ?Global Wind Energy Council. 6 April 2011. http://

  8. Wind Power Today: Building a New Energy Future, Wind and Hydropower Technologies Program 2009 (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2009-04-01T23:59:59.000Z

    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.

  9. Considering Air Density in Wind Power Production

    E-Print Network [OSTI]

    Zénó Farkas

    2011-03-11T23:59:59.000Z

    In the wind power production calculations the air density is usually considered as constant in time. Using the CIPM-2007 equation for the density of moist air as a function of air temperature, air pressure and relative humidity, we show that it is worth taking the variation of the air density into account, because higher accuracy can be obtained in the calculation of the power production for little effort.

  10. Considering Air Density in Wind Power Production

    E-Print Network [OSTI]

    Farkas, Zénó

    2011-01-01T23:59:59.000Z

    In the wind power production calculations the air density is usually considered as constant in time. Using the CIPM-2007 equation for the density of moist air as a function of air temperature, air pressure and relative humidity, we show that it is worth taking the variation of the air density into account, because higher accuracy can be obtained in the calculation of the power production for little effort.

  11. Sixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast

    E-Print Network [OSTI]

    ............................................................................................................................... 12 Oil Price Forecast Range. The price of crude oil was $25 a barrel in January of 2000. In July 2008 it averaged $127, even approachingSixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast Introduction

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

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

    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.

  13. Mark Your Calendar! Indiana's only statewide wind power

    E-Print Network [OSTI]

    Ginzel, Matthew

    Mark Your Calendar! Indiana's only statewide wind power conference is July 21-22, 2010. WIndiana in Track 1. Wind power supply chain information will be in Track 2. Track 3 is an expanded Community Wind 2010. First, there will be three separate session tracks to choose from. Big Wind will be represented

  14. Judi Danielson Wind Power: From Niche to Mainstream

    E-Print Network [OSTI]

    , was the federal production tax incentive, which lowers the cost of wind power for potential investorsJudi Danielson Wind Power: From Niche to Mainstream What's Inside (continued on page 11) Winter sailboats to sail-type windmills. Today, the wind is converted into electricity through wind turbine

  15. Analysis of Wind Power and Load Data at Multiple Time Scales

    E-Print Network [OSTI]

    Coughlin, Katie

    2011-01-01T23:59:59.000Z

    Wan, Yih-Huei. 2004. Wind Power Plant Behaviors: Analyses ofthe output of wind power plants. In a typical studyfluctuations across wind power plants located in the same

  16. Assessment of wind power predictability as a decision factor in the investment phase of wind farms

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Assessment of wind power predictability as a decision factor in the investment phase of wind farms on market revenue of, respectively, the predictability and the capacity factor of a wind farm or a cluster of wind farms. This is done through a real-life case study in West Denmark, including wind farm production

  17. The Answer Is Blowing in the Wind: Analysis of Powering Internet Data Centers with Wind Energy

    E-Print Network [OSTI]

    of real-world wind power traces from 69 wind farms. The idea is to leverage the front-end load dispatching generally lie in a range from 44% to 96%, depending on how the locations of wind farms are selected. We" IDCs through a wind- aware load balancing design? and 2) How to select data center or wind farm

  18. Wind power: executive summary on research on network wind power over the Pacific Northwest. Progress report, October 1979-September 1980

    SciTech Connect (OSTI)

    Baker, R.W.; Hewson, E.W.

    1980-10-01T23:59:59.000Z

    This 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.

  19. Arkansas Preparing for Wind Power | Department of Energy

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

    Arkansas Preparing for Wind Power Arkansas Preparing for Wind Power April 15, 2010 - 5:25pm Addthis Joshua DeLung Renowned science fiction author Isaac Asimov once said, "No...

  20. Structural responses and power output of a wind turbine are strongly affected by the wind field acting on the wind turbine. Knowledge about the wind field and its

    E-Print Network [OSTI]

    Stanford University

    ABSTRACT Structural responses and power output of a wind turbine are strongly affected by the wind field acting on the wind turbine. Knowledge about the wind field and its variations is essential not only for designing, but also for cost-efficiently managing wind turbines. Wind field monitoring

  1. Green Power Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplaneGreenEnergy |Power Wind

  2. Marquiss Wind Power | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarmsPower CoLongxing WindMaoming Zhong ao Wind

  3. Cielo Wind Power | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergy Offshore Place:Wind EnergyCielo Wind Power Jump to:

  4. Probabilistic wind power forecasting -European Wind Energy Conference -Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Probabilistic wind power forecasting - European Wind Energy Conference - Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting based on kernel density estimators J´er´emie Juban jeremie.juban@ensmp.fr; georges.kariniotakis@ensmp.fr Abstract Short-term wind power forecasting tools

  5. NREL Small Wind Turbine Test Project: Mariah Power's Windspire Wind Turbine Test Chronology

    SciTech Connect (OSTI)

    Huskey, A.; Forsyth, T.

    2009-06-01T23:59:59.000Z

    This report presents a chronology of tests conducted at NREL's National Wind Technology Center on Mariah Power's Windspire 1.2-kW wind turbine and a letter of response from Mariah Power.

  6. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    wind power, while others may mandate daily operating limits or are based upon thresholds for the percentage of balancing

  7. Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01T23:59:59.000Z

    This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

  8. Synchrophasor Applications for Wind Power Generation

    SciTech Connect (OSTI)

    Muljadi, E.; Zhang, Y. C.; Allen, A.; Singh, M.; Gevorgian, V.; Wan, Y. H.

    2014-02-01T23:59:59.000Z

    The U.S. power industry is undertaking several initiatives that will improve the operations of the electric power grid. One of those is the implementation of wide-area measurements using phasor measurement units to dynamically monitor the operations and status of the network and provide advanced situational awareness and stability assessment. The overviews of synchrophasors and stability analyses in this report are intended to present the potential future applications of synchrophasors for power system operations under high penetrations of wind and other renewable energy sources.

  9. Wind Farm Power Prediction: A Data-Mining Approach

    E-Print Network [OSTI]

    Kusiak, Andrew

    Wind Farm Power Prediction: A Data-Mining Approach Andrew Kusiak*, Haiyang Zheng and Zhe Song, IA 52242­1527, USA In this paper, models for short- and long-term prediction of wind farm power length of the long-term prediction model is 84 h. The wind farm power prediction models are built

  10. WIND POWER ENSEMBLE FORECASTING Henrik Aalborg Nielsen1

    E-Print Network [OSTI]

    WIND POWER ENSEMBLE FORECASTING Henrik Aalborg Nielsen1 , Henrik Madsen1 , Torben Skov Nielsen1. In this paper we address the problems of (i) transforming the mete- orological ensembles to wind power ensembles the uncertainty which follow from historical (climatological) data. However, quite often the actual wind power

  11. Characterization of the Wind Power Resource in Europe and its

    E-Print Network [OSTI]

    Characterization of the Wind Power Resource in Europe and its Intermittency Alexandra Cosseron, C;1 Characterization of the Wind Power Resource in Europe and its Intermittency Alexandra Cosseron* , C. Adam Schlosser , and Udaya Bhaskar Gunturu Abstract Wind power is assessed over Europe, with special attention given

  12. Characterization of wind power resource in the United States*

    E-Print Network [OSTI]

    Characterization of wind power resource in the United States* U. Bhaskar Gunturu and C. Adam Chemistry and Physics Characterization of wind power resource in the United States U. B. Gunturu and C. A, 120 m turbine hub heights. The wind power density (WPD) estimates at 50 m are qualitatively similar

  13. Ris-R-1527(EN) Wind Power Prediction using Ensembles

    E-Print Network [OSTI]

    Risø-R-1527(EN) Wind Power Prediction using Ensembles Gregor Giebel (ed.), Jake Badger, Lars, Lars Voulund Title: Wind Power Prediction using Ensembles Risø-R-1527(EN) September 2005 ISSN 0106 from the operational use - Elsam 35 5.2.1 Control room functions 35 5.2.2 Use of wind power predictions

  14. Stochastic Analysis of Wind Turbine Power Curves Edgar Anahua

    E-Print Network [OSTI]

    Peinke, Joachim

    Stochastic Analysis of Wind Turbine Power Curves Edgar Anahua Oldenburg 2007 Zur Homepage der Dissertation #12;#12;Stochastic Analysis of Wind Turbine Power Curves Edgar Anahua Von der Fakult¨at f the wind turbine's power per- formance directly from high frequency fluctuating measurements. In particular

  15. Control of Wind Turbines for Power Regulation and

    E-Print Network [OSTI]

    Control of Wind Turbines for Power Regulation and Load Reduction Juan Jose Garcia Quirante Kongens regulation and load reduction and their ensemble in a variable-speed wind turbine. The power regulation aspects of mathematical modelling of wind turbines, and especially the control methods suited for power

  16. Biennial Assessment of the Fifth Power Plan Interim Report on Fuel Price Assumptions

    E-Print Network [OSTI]

    . In addition, the delivered price of coal to power plants located in the region will be affected by diesel fuel The Fifth Power Plan includes price forecasts for natural gas, oil, and coal. Natural gas prices have by far costs for trains that deliver coal to the plants. Recent higher prices for coal are partially related

  17. Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants

    E-Print Network [OSTI]

    Caramanis, Michael

    -distribution network locational marginal prices; power flow; reactive power compensation; voltage control; distributed application to Electric Power [2, 3] dynamic Locational-Marginal-Price (LMP) based Wholesale Power Markets to clear markets and discover dynamic Locational Marginal Prices (LMPs) that promoted more efficient

  18. Optimal Power Flow Based Demand Response Offer Price Optimization

    E-Print Network [OSTI]

    Lavaei, Javad

    Optimal Power Flow Based Demand Response Offer Price Optimization Zhen Qiu 1 Introduction-time energy balance. Demand response programs are offered by the utility companies to reduce the load response cost in exchange for load reduction. A considerable amount of papers have discussed the demand

  19. Wind Power on Native American Lands: Process and Progress (Poster)

    SciTech Connect (OSTI)

    Jimenez, A.; Flowers, L.; Gough, R.; Taylor, R.

    2005-05-01T23:59:59.000Z

    The United States is home to more than 700 American Indian tribes and Native Alaska villages and corporations located on 96 million acres. Many of these tribes and villages have excellent wind resources that could be commercially developed to meet their electricity needs or for electricity export. The Wind Powering America program engages Native Americans in wind energy development. This poster describes the process and progress of Wind Powering America's involvement with Native American wind energy projects.

  20. Global Wind Power Conference September 18-21, 2006, Adelaide, Australia Design and Operation of Power Systems with Large Amounts of Wind Power, first

    E-Print Network [OSTI]

    of Power Systems with Large Amounts of Wind Power, first results of IEA collaboration Hannele Holttinen1.holttinen@vtt.fi Abstract: An international forum for exchange of knowledge of power system impacts of wind power has been Systems with Large Amounts of Wind Power"will analyse existing case studies from different power systems

  1. WIND POWER PROGRAM WIND PROGRAM ACCOMPLISHMENTS U.S. Department...

    Office of Environmental Management (EM)

    capturing more wind than ever before through the installation of innovative offshore wind turbines and systems in U.S. waters, the Atmosphere to Electrons initiative which...

  2. Validation of Power Output for the WIND Toolkit

    SciTech Connect (OSTI)

    King, J.; Clifton, A.; Hodge, B. M.

    2014-09-01T23:59:59.000Z

    Renewable energy integration studies require wind data sets of high quality with realistic representations of the variability, ramping characteristics, and forecast performance for current wind power plants. The Wind Integration National Data Set (WIND) Toolkit is meant to be an update for and expansion of the original data sets created for the weather years from 2004 through 2006 during the Western Wind and Solar Integration Study and the Eastern Wind Integration Study. The WIND Toolkit expands these data sets to include the entire continental United States, increasing the total number of sites represented, and it includes the weather years from 2007 through 2012. In addition, the WIND Toolkit has a finer resolution for both the temporal and geographic dimensions. Three separate data sets will be created: a meteorological data set, a wind power data set, and a forecast data set. This report describes the validation of the wind power data set.

  3. Sixth Northwest Conservation and Electric Power Plan Appendix D: Wholesale Electricity Price Forecast

    E-Print Network [OSTI]

    Sixth Northwest Conservation and Electric Power Plan Appendix D: Wholesale Electricity Price.................................................................................................................................. 27 INTRODUCTION The Council prepares and periodically updates a 20-year forecast of wholesale to forecast wholesale power prices. AURORAxmp® provides the ability to inco

  4. Concurrent Wind Cooling in Power Transmission Lines

    SciTech Connect (OSTI)

    Jake P Gentle

    2012-08-01T23:59:59.000Z

    Idaho National Laboratory and the Idaho Power Company, with collaboration from Idaho State University, have been working on a project to monitor wind and other environmental data parameters along certain electrical transmission corridors. The combination of both real-time historical weather and environmental data is being used to model, validate, and recommend possibilities for dynamic operations of the transmission lines for power and energy carrying capacity. The planned results can also be used to influence decisions about proposed design criteria for or upgrades to certain sections of the transmission lines.

  5. India Wind Power Ltd | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup | OpenHunan Runhua New EnergyIT PowerImagineWind Power Ltd Jump to:

  6. Contribution to the Chapter on Wind Power Energy Technology

    E-Print Network [OSTI]

    turbines, are being implemented across all wind energy countries. The cost of wind-generated electricityContribution to the Chapter on Wind Power Energy Technology Perspectives 2008 Jørgen Lemming; Poul; Poul Erik Morthorst; Niels-Erik Clausen; Peter Hjuler Jensen Title: Contribution to the Chapter on Wind

  7. Markets to Facilitate Wind and Solar Energy Integration in the Bulk Power Supply: An IEA Task 25 Collaboration; Preprint

    SciTech Connect (OSTI)

    Milligan, M.; Holttinen, H.; Soder, L.; Clark, C.; Pineda, I.

    2012-09-01T23:59:59.000Z

    Wind and solar power will give rise to challenges in electricity markets regarding flexibility, capacity adequacy, and the participation of wind and solar generators to markets. Large amounts of wind power will have impacts on bulk power system markets and electricity prices. If the markets respond to increased wind power by increasing investments in low-capital, high-cost or marginal-cost power, the average price may remain in the same range. However, experiences so far from Denmark, Germany, Spain, and Ireland are such that the average market prices have decreased because of wind power. This reduction may result in additional revenue insufficiency, which may be corrected with a capacity market, yet capacity markets are difficult to design. However, the flexibility attributes of the capacity also need to be considered. Markets facilitating wind and solar integration will include possibilities for trading close to delivery (either by shorter gate closure times or intraday markets). Time steps chosen for markets can enable more flexibility to be assessed. Experience from 5- and 10-minute markets has been encouraging.

  8. Parametric design of floating wind turbines

    E-Print Network [OSTI]

    Tracy, Christopher (Christopher Henry)

    2007-01-01T23:59:59.000Z

    As the price of energy increases and wind turbine technology matures, it is evident that cost effective designs for floating wind turbines are needed. The next frontier for wind power is the ocean, yet development in near ...

  9. Benefits of Stochastic Scheduling for Power Systems with Significant Installed Wind Power

    E-Print Network [OSTI]

    Benefits of Stochastic Scheduling for Power Systems with Significant Installed Wind Power Aidan Abstract-- Wind energy on a power system alters the unit commitment and dispatch problem, as it adds generation, Power system eco- nomics, Power generation dispatch, Unit Commitment, Wind Forecasting. I

  10. Operating the Irish Power System with Increased Levels of Wind Power

    E-Print Network [OSTI]

    Operating the Irish Power System with Increased Levels of Wind Power Aidan Tuohy, Student Member of Ireland. Using results from various studies performed on this system, it is shown that wind power of installed wind power will have implications for the operation of power systems. These will be seen

  11. European Wind Energy Conference -Brussels, Belgium, April 2008 Data mining for wind power forecasting

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    European Wind Energy Conference - Brussels, Belgium, April 2008 Data mining for wind power-term forecasting of wind energy produc- tion up to 2-3 days ahead is recognized as a major contribution the improvement of predic- tion systems performance is recognised as one of the priorities in wind energy research

  12. Wind Powering America Fact Sheet Series 1 Wind energy is more expensive than conventional energy.

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Wind Powering America Fact Sheet Series 1 Wind energy is more expensive than conventional energy. Wind's variability does increase the day-to-day and minute-to- minute operating costs of a utility system because the wind variations do affect the operation of other plants. But investigations by utility

  13. New England Wind Forum: A Wind Powering America Project - Newsletter #6 - September 2010, (NEWF)

    SciTech Connect (OSTI)

    Grace, R.; Gifford, J.; Leeds, T.; Bauer, S.

    2010-09-01T23:59:59.000Z

    Wind Powering America program launched the New England Wind Forum (NEWF) in 2005 to provide a single comprehensive source of up-to-date, Web-based information on a broad array of wind energy issues pertaining to New England. The NEWF newsletter provides New England stakeholders with updates on wind energy development in the region.

  14. Scotrenewables Wind Power and Marine Power Ltd | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDITCalifornia Sector: WindRiegotec InternacionalhasASSciraWind Power and

  15. Comment on "Air Emissions Due to Wind and Solar Power" and Supporting Information

    E-Print Network [OSTI]

    Mills, Andrew D.

    2011-01-01T23:59:59.000Z

    Consulting, Analysis of Wind Generation Impact on ERCOTE. ; O’Malley, M. Wind generation, power system operation,E. ; O’Malley, M. Wind generation, power system operation,

  16. Analysis of Wind Power and Load Data at Multiple Time Scales

    E-Print Network [OSTI]

    Coughlin, Katie

    2011-01-01T23:59:59.000Z

    The spectrum of power from wind turbines. Journal of PowerAWEA 2010. American Wind Energy Association ProjectsErik and Jason Kemper. 2009. Wind Plant Ramping Behavior.

  17. Policies and market factors driving wind power development in the United States

    SciTech Connect (OSTI)

    Bird, Lori; Parsons, Brian; Gagliano, Troy; Brown, Matthew; Wiser, Ryan; Bolinger, Mark

    2003-07-30T23:59:59.000Z

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,100 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states in which a substantial amount of wind energy capacity has been developed or planned. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  18. Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants

    E-Print Network [OSTI]

    Caramanis, Michael

    but not least distribution network rent. Keywords-distribution network locational marginal prices; power flow application to Electric Power [2, 3] dynamic Locational-Marginal-Price (LMP) based Wholesale Power Markets load-side market participation and the use of Distribution network Locational Marginal Prices (DLMP

  19. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP)

    Broader source: Energy.gov [DOE]

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  20. Stochastic Modeling of Multi-Area Wind Power Production

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Stochastic Modeling of Multi-Area Wind Power Production Anthony Papavasiliou Department we present a stochastic model for multi-area wind production that is used for planning reserves model accounts for the inter-temporal and spatial dependencies of multi-area wind power production

  1. Wind Power Forecasting: State-of-the-Art 2009

    E-Print Network [OSTI]

    Kemner, Ken

    Wind Power Forecasting: State-of-the-Art 2009 ANL/DIS-10-1 Decision and Information Sciences about Argonne and its pioneering science and technology programs, see www.anl.gov. #12;Wind Power................................................ 14 2.2.3 Critical Processes for Wind Forecast

  2. Ris-R-Report Power fluctuations from large wind farms -

    E-Print Network [OSTI]

    Abstract (max. 2000 char.): Experience from power system operation with the first large offshore wind farm acquired at the two large offshore wind farms in Denmark are applied to validate the models. FinallyRisø-R-Report Power fluctuations from large wind farms - Final report Poul Sørensen, Pierre Pinson

  3. Dynamic wind turbine models in power system simulation tool

    E-Print Network [OSTI]

    Dynamic wind turbine models in power system simulation tool DIgSILENT Anca D. Hansen, Florin Iov Iov, Poul Sørensen, Nicolaos Cutululis, Clemens Jauch, Frede Blaabjerg Title: Dynamic wind turbine system simulation tool PowerFactory DIgSILENT for different wind turbine concepts. It is the second

  4. FEED-IN TARIFFS AND OFFSHORE WIND POWER DEVELOPMENT

    E-Print Network [OSTI]

    Firestone, Jeremy

    FEED-IN TARIFFS AND OFFSHORE WIND POWER DEVELOPMENT Prepared by Jon Lilley, Blaise Sheridan, Dawn.......................................................................................................................... 25 FERC Clarification as Applied to Offshore Wind........................................................................................................................ 28 #12; 3 Feed-in Tariffs and Offshore Wind Power Development Prepared Pursuant to DOE Grant Em

  5. Electric power from offshore wind via synoptic-scale interconnection

    E-Print Network [OSTI]

    Firestone, Jeremy

    Electric power from offshore wind via synoptic-scale interconnection Willett Kemptona,1 , Felipe M regional estimate, Kempton et al. (2) calculated that two-thirds of the offshore wind power off the U in the U.S. Atlantic region is already underway. Fig. 1 shows as black squares offshore wind developments

  6. The Potential Wind Power Resource in Australia: A New Perspective*

    E-Print Network [OSTI]

    The Potential Wind Power Resource in Australia: A New Perspective* Willow Hallgren, Udaya Bhaskar: globalchange@mit.edu Website: http://globalchange.mit.edu/ #12;The Potential Wind Power Resource in Australia density, and analyzes the variation of these characteristics with current and potential wind turbine hub

  7. The Potential Wind Power Resource in Australia: A New Perspective

    E-Print Network [OSTI]

    The Potential Wind Power Resource in Australia: A New Perspective Willow Hallgren, Udaya Bhaskar;1 The Potential Wind Power Resource in Australia: A New Perspective Willow Hallgren* , Udaya Bhaskar Gunturu intermittency can potentially be mitigated by the aggregation of geographically dispersed wind farms. Our

  8. System-Wide Emissions Implications of Increased Wind Power Penetration

    E-Print Network [OSTI]

    Kemner, Ken

    of incorporating wind energy into the electric power system. We present a detailed emissions analysis based on comprehensive modeling of power system operations with unit commitment and economic dispatch for different wind of both cycling and start-ups of thermal power plants in analyzing emissions from an electric power system

  9. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    plants each week,? and wind power‘s current share of total electricity generationplants, an examination of China‘s efforts to integrate wind power into its electricity generationelectricity generation mix. It is important to note that in 2009, coal-fired power plants

  10. Low-Maintenance Wind Power System

    E-Print Network [OSTI]

    Rasson, Joseph E

    2010-01-01T23:59:59.000Z

    Improved Vertical Axis Wind Turbine and Aerodynamic ControlDarrieus Vertical Axis Wind Turbines and Aerodynamic Control

  11. New England Wind Forum: A Wind Powering America Project, Newsletter #5 -- January 2010, Wind and Hydropower Technologies Program (WHTP)

    SciTech Connect (OSTI)

    Grace, R. C.; Gifford, J.

    2010-01-01T23:59:59.000Z

    Wind Powering America program launched the New England Wind Forum (NEWF) in 2005 to provide a single comprehensive source of up-to-date, Web-based information on a broad array of wind energy issues pertaining to New England. The NEWF newsletter provides New England stakeholders with updates on wind energy development in the region. In addition to regional updates, Issue #5 offers an interview with Angus King, former governor of Maine and co-founder of Independence Wind.

  12. Pitfalls of modeling wind power using Markov chains

    E-Print Network [OSTI]

    Kirtley, James L., Jr.

    An increased penetration of wind turbines have given rise to a need for wind speed/power models that generate realistic synthetic data. Such data, for example, might be used in simulations to size energy storage or spinning ...

  13. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    Policies for Renewable Energy-the example of China‘s windframework,? Energy Policy 32 (2004): ?PR China,? Global WindWind Power in China: Policy and development challenges,? Energy Policy

  14. The Potential Wind Power Resource in Australia: A New Perspective

    E-Print Network [OSTI]

    Hallgren, Willow

    Australia is considered to have very good wind resources, and the utilization of this renewable energy resource is increasing. Wind power installed capacity increased by 35% from 2006 to 2011 and is predicted to account ...

  15. The Potential Wind Power Resource in Australia: A New Perspective

    E-Print Network [OSTI]

    Hallgren, Willow

    Australia’s wind resource is considered to be very good, and the utilization of this renewable energy resource is increasing rapidly: wind power installed capacity increased by 35% from 2006 to 2011 and is predicted to ...

  16. The price of electricity from private power producers: Stage 2, Expansion of sample and preliminary statistical analysis

    SciTech Connect (OSTI)

    Comnes, G.A.; Belden, T.N.; Kahn, E.P.

    1995-02-01T23:59:59.000Z

    The market for long-term bulk power is becoming increasingly competitive and mature. Given that many privately developed power projects have been or are being developed in the US, it is possible to begin to evaluate the performance of the market by analyzing its revealed prices. Using a consistent method, this paper presents levelized contract prices for a sample of privately developed US generation properties. The sample includes 26 projects with a total capacity of 6,354 MW. Contracts are described in terms of their choice of technology, choice of fuel, treatment of fuel price risk, geographic location, dispatchability, expected dispatch niche, and size. The contract price analysis shows that gas technologies clearly stand out as the most attractive. At an 80% capacity factor, coal projects have an average 20-year levelized price of $0.092/kWh, whereas natural gas combined cycle and/or cogeneration projects have an average price of $0.069/kWh. Within each technology type subsample, however, there is considerable variation. Prices for natural gas combustion turbines and one wind project are also presented. A preliminary statistical analysis is conducted to understand the relationship between price and four categories of explanatory factors including product heterogeneity, geographic heterogeneity, economic and technological change, and other buyer attributes (including avoided costs). Because of residual price variation, we are unable to accept the hypothesis that electricity is a homogeneous product. Instead, the analysis indicates that buyer value still plays an important role in the determination of price for competitively-acquired electricity.

  17. IEEE TRANSACTIONS ON POWER SYSTEMS, CHEN, DENG AND HUO. 1 Electricity Price Curve Modeling by Manifold

    E-Print Network [OSTI]

    markets. Index Terms-- Electricity spot price, locational marginal price, electricity forward curveIEEE TRANSACTIONS ON POWER SYSTEMS, CHEN, DENG AND HUO. 1 Electricity Price Curve Modeling and prediction of electricity price curves by applying the manifold learning methodology. Cluster analysis based

  18. IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 3, AUGUST 2008 877 Electricity Price Curve Modeling

    E-Print Network [OSTI]

    Huo, Xiaoming

    --Electricity forward curve, electricity spot price, forecasting, locational marginal price, manifold learning. IIEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 3, AUGUST 2008 877 Electricity Price Curve approach for the modeling and analysis of electricity price curves by ap- plying the manifold learning

  19. Synoptic and local influences on boundary layer processes, with an application to California wind power

    E-Print Network [OSTI]

    Mansbach, David K.

    2010-01-01T23:59:59.000Z

    maps showing locations of wind power conversion facilities,of US winds and wind power at 80 m derived fromEvaluation of global wind power. Journal of Geo- physical

  20. Wind: wind power density GIS data at 50m above ground and 1km...

    Open Energy Info (EERE)

    GIS ... Dataset Activity Stream Wind: wind power density GIS data at 50m above ground and 1km resolution for Ghana from NREL (Abstract):  Raster GIS data, exported as BIL...

  1. Wind: wind power density GIS data at 50m above ground and 1km...

    Open Energy Info (EERE)

    file, 50 m wind power density for eastern China. (Purpose): To provide information on the wind resource potential in eastern China. Values range from 0 to 3079 Wm2. (Supplemental...

  2. Wind Power Variability, Its Cost, and Effect on Power Plant Emissions

    E-Print Network [OSTI]

    Wind Power Variability, Its Cost, and Effect on Power Plant Emissions A Dissertation Submitted The recent growth in wind power is transforming the operation of electricity systems by introducing. As a result, system operators are learning in real-time how to incorporate wind power and its variability

  3. Heilongjiang Lishu Wind Power | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarms AHefei Sungrow Power Supply Co Ltd SPSLishu Wind

  4. Padoma Wind Power LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarmsPowerKaitianOstsee WindEnergy InformationPadoma

  5. Northwestern Wind Power | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jumpsource History ViewTexas: EnergyWind Power Jump to:

  6. Shiloh Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAirPower Partners WindSherbino 2ShikunIII

  7. CECIC Wind Power Zhangbei | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORT Americium/CuriumAguaBBBWind-BrizaHKC Wind Power Company

  8. Moraine Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinutemanVistaZephyr) Jump to: navigation,Wind Power

  9. Neppel Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel Wind Power Project Jump to: navigation,

  10. Laizhou Luneng Wind Power | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |Jilin Zhongdiantou NewKorea PartsLLNLLaizhou Luneng Wind Power Jump to:

  11. Wind Power Energia | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapers Home Kyoung's pictureWind Power Energia Jump to: navigation,

  12. Wind Power Ltd | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapers Home Kyoung's pictureWind Power Energia Jump to:

  13. Desert Wind Power | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision hasda62829c05bGabbs ValleyWind Power Jump to:

  14. Fenner Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEurope BV JumpFederal Highway AdministrationFellowsWind Power

  15. Wind Power: How Much, How Soon, and At What Cost?

    SciTech Connect (OSTI)

    Wiser, Ryan H; Hand, Maureen

    2010-01-01T23:59:59.000Z

    The global wind power market has been growing at a phenomenal pace, driven by favorable policies towards renewable energy and the improving economics of wind projects. On a going forward basis, utility-scale wind power offers the potential for significant reductions in the carbon footprint of the electricity sector. Specifically, the global wind resource is vast and, though accessing this potential is not costless or lacking in barriers, wind power can be developed at scale in the near to medium term at what promises to be an acceptable cost.

  16. Sizing Storage and Wind Generation Capacities in Remote Power Systems

    E-Print Network [OSTI]

    Victoria, University of

    Sizing Storage and Wind Generation Capacities in Remote Power Systems by Andy Gassner B Capacities in Remote Power Systems by Andy Gassner B.Sc., University of Wisconsin ­ Madison, 2003 Supervisory and small power systems. However, the variability due to the stochastic nature of the wind resource

  17. Ris-R-1257(EN) Isolated Systems with Wind Power

    E-Print Network [OSTI]

    energy in isolated communities. So far most studies of isolated systems with wind power have been case and economical feasibility of isolated power supply systems with wind energy. General guidelines and checklists project costs 24 5.5.2 Cost of Energy, COE 25 5.5.3 Value of Energy, VOE 25 Primary power supply 25

  18. Price-based adaptive spinning reserve requirements in power system scheduling1

    E-Print Network [OSTI]

    Oren, Shmuel S.

    &E, the Hydro-Thermal Optimization (HTO) program was developed almost a decade ago, based on the LagrangianPrice-based adaptive spinning reserve requirements in power system scheduling1 Chung-Li Tsenga function, on a price/value signal. We present three power system scheduling algorithms in which this price

  19. Optimization Online - The Worst-case Wind Power Scenario for ...

    E-Print Network [OSTI]

    German Morales-España

    2014-09-16T23:59:59.000Z

    Sep 16, 2014 ... The Worst-case Wind Power Scenario for Adaptive Robust Unit Commitment Problems. German Morales-España(gmorales ***at*** kth.se).

  20. Wind Power Siting: Public Acceptance and Land Use

    Wind Powering America (EERE)

    by the Alliance for Sustainable Energy, LLC. Wind Power Siting: Public Acceptance and Land Use Suzanne Tegen WINDExchange Webinar June 17, 2015 2 Overview * Current NREL Research *...

  1. Dynamic pricing and stabilization of supply and demand in modern electric power grids

    E-Print Network [OSTI]

    Roozbehani, Mardavij

    The paper proposes a mechanism for real-time pricing of electricity in smart power grids, with price stability as the primary concern. In previous publications the authors argued that relaying the real-time wholesale market ...

  2. Gas production response to price signals: Implications for electric power generators

    SciTech Connect (OSTI)

    Ferrell, M.L.

    1995-12-31T23:59:59.000Z

    Natural gas production response to price signals is outlined. The following topics are discussed: Structural changes in the U.S. gas exploration and production industry, industry outlook, industry response to price signals, and implications for electric power generators.

  3. 20% Wind Energy by 2030 - Chapter 6: Wind Power Markets Summary...

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

    6: Wind Power Markets Summary Slides California: 20% by 2017 State renewable energy incentives Illinois: 15% by 2012 New York: 25% by 2013 Renewable portfolio standards (RPS) * 25...

  4. Maximum power tracking control scheme for wind generator systems

    E-Print Network [OSTI]

    Mena Lopez, Hugo Eduardo

    2008-10-10T23:59:59.000Z

    The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor...

  5. Maximum power tracking control scheme for wind generator systems

    E-Print Network [OSTI]

    Mena, Hugo Eduardo

    2009-05-15T23:59:59.000Z

    The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor...

  6. Wind Power Resource Assessment in Ohio and Puerto Rico

    E-Print Network [OSTI]

    Womeldorf, Carole

    Wind Power Resource Assessment in Ohio and Puerto Rico: A Motivational and Educational Tool Juan University, Athens, Ohio Abstract This paper presents an educational guide and example of a wind resource calculations. New data representing wind speed and direction for locations in Ohio and Puerto Rico

  7. Offshore Wind Power Experiences, Potential and Key Issues for

    E-Print Network [OSTI]

    offshore wind farms are installed in British, Swedish and Danish waters, and present-day costs in 2015, 2030 and 2050 14 3.1 Offshore wind farms under construction and in planning stage 14 3Offshore Wind Power Experiences, Potential and Key Issues for Deployment Jørgen Lemming, Poul Erik

  8. Maximum power tracking control scheme for wind generator systems 

    E-Print Network [OSTI]

    Mena, Hugo Eduardo

    2009-05-15T23:59:59.000Z

    The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor...

  9. Maximum power tracking control scheme for wind generator systems 

    E-Print Network [OSTI]

    Mena Lopez, Hugo Eduardo

    2008-10-10T23:59:59.000Z

    The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor...

  10. Fast Verification of Wind Turbine Power Summary of Project Results

    E-Print Network [OSTI]

    Fast Verification of Wind Turbine Power Curves: Summary of Project Results by: Cameron Brown ­ s equation on high frequency wind turbine measurement data sampled at one sample per second or more. The aim's Nordtank wind turbine at the Risø site, the practical application of this new method was tested

  11. Ex Post Analysis of Economic Impacts from Wind Power Development in U.S. Counties

    E-Print Network [OSTI]

    Brown, Jason P.

    2014-01-01T23:59:59.000Z

    use requirements of modern wind power plants in the United2002. Economic impacts of wind power in Kittitas County:Office, 2004. Renewable energy: Wind power’s contribution to

  12. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-04-01T23:59:59.000Z

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  13. Use of Slip Ring Induction Generator for Wind Power Generation

    E-Print Network [OSTI]

    K Y Patil; D S Chavan

    Wind energy is now firmly established as a mature technology for electricity generation. There are different types of generators that can be used for wind energy generation, among which Slip ring Induction generator proves to be more advantageous. To analyse application of Slip ring Induction generator for wind power generation, an experimental model is developed and results are studied. As power generation from natural sources is the need today and variable speed wind energy is ample in amount in India, it is necessary to study more beneficial options for wind energy generating techniques. From this need a model is developed by using Slip ring Induction generator which is a type of Asynchronous generator.

  14. Power Performance Test Report for the SWIFT Wind Turbine

    SciTech Connect (OSTI)

    Mendoza, I.; Hur, J.

    2012-12-01T23:59:59.000Z

    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.

  15. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    Western Wind, and Midwest Wind Energy. Table 4. Merger andHorizon) Noble Power CPV Wind Catamount Western Wind EnergyCoastal Wind Energy LLC Tierra Energy, LLC Renewable

  16. National-Scale Wind Resource Assessment for Power Generation (Presentation)

    SciTech Connect (OSTI)

    Baring-Gould, E. I.

    2013-08-01T23:59:59.000Z

    This presentation describes the current standards for conducting a national-scale wind resource assessment for power generation, along with the risk/benefit considerations to be considered when beginning a wind resource assessment. The presentation describes changes in turbine technology and viable wind deployment due to more modern turbine technology and taller towers and shows how the Philippines national wind resource assessment evolved over time to reflect changes that arise from updated technologies and taller towers.

  17. The effects of energy storage properties and forecast accuracy on mitigating variability in wind power generation

    E-Print Network [OSTI]

    Jaworsky, Christina A

    2013-01-01T23:59:59.000Z

    Electricity generation from wind power is increasing worldwide. Wind power can offset traditional fossil fuel generators which is beneficial to the environment. However, wind generation is unpredictable. Wind speeds have ...

  18. Wind Power Forecasting Error Distributions: An International Comparison; Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

    2012-09-01T23:59:59.000Z

    Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

  19. How Do Wind and Solar Power Affect Grid Operations: The Western Wind and Solar Integration Study

    SciTech Connect (OSTI)

    Lew, D.; Milligan, M.; Jordan, G.; Freeman, L.; Miller, N.; Clark, K.; Piwko, R.

    2009-01-01T23:59:59.000Z

    The Western Wind and Solar Integration Study is one of the largest regional wind and solar integration studies to date, examining the operational impact of up to 35% wind, photovoltaics, and concentrating solar power on the WestConnect grid in Arizona, Colorado, Nevada, New Mexico, and Wyoming. This paper reviews the scope of the study, the development of wind and solar datasets, and the results to date on three scenarios.

  20. BPA supports wind power for the Pacific Northwest - Mar 2009...

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

    Northwest wind power boom is continuing, and much of this growth is occurring in the heart of the Bonneville Power Administration system. The agency now has more than 2,000...

  1. System-wide emissions implications of increased wind power penetration.

    SciTech Connect (OSTI)

    Valentino, L.; Valenzuela, V.; Botterud, A.; Zhou, Z.; Conzelmann, G. (Decision and Information Sciences); (Univ. of Illinois, Champaign/Urbana); (Georgia Institute of Technology)

    2012-01-01T23:59:59.000Z

    This paper discusses the environmental effects of incorporating wind energy into the electric power system. We present a detailed emissions analysis based on comprehensive modeling of power system operations with unit commitment and economic dispatch for different wind penetration levels. First, by minimizing cost, the unit commitment model decides which thermal power plants will be utilized based on a wind power forecast, and then, the economic dispatch model dictates the level of production for each unit as a function of the realized wind power generation. Finally, knowing the power production from each power plant, the emissions are calculated. The emissions model incorporates the effects of both cycling and start-ups of thermal power plants in analyzing emissions from an electric power system with increasing levels of wind power. Our results for the power system in the state of Illinois show significant emissions effects from increased cycling and particularly start-ups of thermal power plants. However, we conclude that as the wind power penetration increases, pollutant emissions decrease overall due to the replacement of fossil fuels.

  2. Modeling the Benefits of Storage Technologies to Wind Power

    SciTech Connect (OSTI)

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

    2008-06-01T23:59:59.000Z

    Rapid expansion of wind power in the electricity sector is raising questions about how wind resource variability might affect the capacity value of wind farms at high levels of penetration. Electricity storage, with the capability to shift wind energy from periods of low demand to peak times and to smooth fluctuations in output, may have a role in bolstering the value of wind power at levels of penetration envisioned by a new Department of Energy report ('20% Wind by 2030, Increasing Wind Energy's Contribution to U.S. Electricity Supply'). This paper quantifies the value storage can add to wind. The analysis was done employing the Regional Energy Deployment System (ReEDS) model, formerly known as the Wind Deployment System (WinDS) model. ReEDS was used to estimate the cost and development path associated with 20% penetration of wind in the report. ReEDS differs from the WinDS model primarily in that the model has been modified to include the capability to build and use three storage technologies: pumped-hydroelectric storage (PHS), compressed-air energy storage (CAES), and batteries. To assess the value of these storage technologies, two pairs of scenarios were run: business-as-usual, with and without storage; 20% wind energy by 2030, with and without storage. This paper presents the results from those model runs.

  3. A Letter from Patrick Gilman: Wind Powering America Is Now Stakeholder Engagement and Outreach

    Broader source: Energy.gov [DOE]

    Patrick Gilman, Wind Energy Deployment manager, explains why Wind Powering America's name is in the process of being changed.

  4. Wind Power Development in the United States: Current Progress, Future Trends

    E-Print Network [OSTI]

    Wiser, Ryan H

    2009-01-01T23:59:59.000Z

    high levels of wind generation. Figure 5. Installed Windis that the increased wind generation offsets both coal andmuch higher levels of wind power generation than currently

  5. Wind Power Development in the United States: Current Progress, Future Trends

    E-Print Network [OSTI]

    Wiser, Ryan H

    2009-01-01T23:59:59.000Z

    supply curve for wind using cost and performance assumptionspressure on installed wind project costs while the industryon U.S. Wind Power Installation, Cost, and Performance

  6. Henan Mingdu Wind Power Co Ltd aka He Nan Ming Du Feng Dian Limited...

    Open Energy Info (EERE)

    Company) Place: Jiaozuo, Henan Province, China Sector: Wind energy Product: Wind turbine blades provider. References: Henan Mingdu Wind Power Co Ltd (aka He Nan Ming Du Feng...

  7. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    Power, Exergy, U.S. Wind Force, Wind Capital Group,Developer enXco Navitas US Wind Force Atlantic Renewable

  8. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    to Drive Wind Development. . . . . . . . . . . . . . .5 GE Wind Is the Dominant Turbine Manufacturer, with SiemensAnnual Report on U.S. Wind Power Installation, Cost, and

  9. Synoptic and local influences on boundary layer processes, with an application to California wind power

    E-Print Network [OSTI]

    Mansbach, David K.

    2010-01-01T23:59:59.000Z

    California o?shore wind energy potential. Renewable Energy,2008: Ex- ploring wind energy potential o? the Californiafor estimates of wind power potential. Journal of Applied

  10. Need-based Communication for Smart Grid: When to Inquire Power Price?

    E-Print Network [OSTI]

    Li, Husheng

    2010-01-01T23:59:59.000Z

    In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not consider the cost of communications which cannot be ignored in many situations. Therefore, the total cost in smart grid should be jointly optimized with the communication cost. In this paper, a probabilistic mechanism of locational margin price (LMP) is applied and a model for the stochastic evolution of the underlying load which determines the power price is proposed. Based on this framework of power price, the problem of determining when to inquire the power price is formulated as a Markov decision process and the corresponding elements, namely the action space, system state and reward function, are defined. Dynamic programming is then applied to obtain the optimal strategy. A simpler myopic approach is proposed by comparing the cost of communications and the penalty incurred by using the old value of power price. Numerical resul...

  11. Wind Powering America's Wind for Schools Team Honored with Wirth...

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

    Second Quarter 2012 edition of the Wind Program R&D Newsletter. The University of Colorado at Denver and the Wirth Chair awarded the Energy Department's National Renewable Energy...

  12. The Impact of Wind Power Projects on Residential Property Values in the United States: A Multi-Site Hedonic Analysis

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    2002) Economic Impacts of Wind Power in Kittitas County, WA.about Large Offshore Wind Power: Underlying Factors. EnergyOpinion on Offshore Wind Power - Interim Report. University

  13. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2010-01-01T23:59:59.000Z

    ZENDER: GLOBAL OCEAN WIND POWER POTENTIAL Serpetzoglou, E. ,Estimated global ocean wind power potential from QuikSCATEstimated global ocean wind power potential from QuikSCAT

  14. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    natural gas prices), pushed wind energy to the top of (andperformance, and price of wind energy, policy uncertainty –cost, performance, and price of wind energy, some of these

  15. IEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    IEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price Forecasting Errors to forecast electricity market prices and improve forecast accuracy. However, no studies have been reported, the application of electricity market price forecasts to short-term operation scheduling of two typical

  16. COE projection for the modular WARP{trademark} wind power system for wind farms and electric utility power transmission

    SciTech Connect (OSTI)

    Weisbrich, A.L. [ENECO, West Simsbury, CT (United States); Ostrow, S.L.; Padalino, J. [Raytheon Engineers and Constructors, New York, NY (United States)

    1995-09-01T23:59:59.000Z

    Wind power has emerged as an attractive alternative source of electricity for utilities. Turbine operating experience from wind farms has provided corroborating data of wind power potential for electric utility application. Now, a patented modular wind power technology, the Toroidal Accelerator Rotor Platform (TARP{trademark}) Windframe{trademark}, forms the basis for next generation megawatt scale wind farm and/or distributed wind power plants. When arranged in tall vertically clustered TARP{trademark} module stacks, such power plant units are designated Wind Amplified Rotor Platform (WARP{trademark}) Systems. While heavily building on proven technology, these systems are projected to surpass current technology windmills in terms of performance, user-friendly operation and ease of maintenance. In its unique generation and transmission configuration, the WARP{trademark}-GT System combines both electricity generation through wind energy conversion and electric power transmission. Furthermore, environmental benefits include dramatically less land requirement, architectural appearance, lower noise and EMI/TV interference, and virtual elimination of bird mortality potential. Cost-of-energy (COE) is projected to be from under $0.02/kWh to less than $0.05/kWh in good to moderate wind resource sites.

  17. Comment on "Air Emissions Due to Wind and Solar Power" and Supporting Information

    E-Print Network [OSTI]

    Mills, Andrew D.

    2011-01-01T23:59:59.000Z

    due to wind and solar power. Environ. Sci. Technol. (2)Emissions Due to Wind and Solar Power” Andrew Mills, ? , †due to wind and solar power. Environ. Sci. Technol. (2)

  18. Analysis of Wind Power and Load Data at Multiple Time Scales

    E-Print Network [OSTI]

    Coughlin, Katie

    2011-01-01T23:59:59.000Z

    Huei. 2005. Primer on Wind Power for Utility Applications.Wan, Yih-Huei. 2004. Wind Power Plant Behaviors: Analysesof Long-Term Wind Power Data. National Renewable Energy Lab

  19. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    The Annual Report on U.S. Wind Power Installation, Cost, andState of the U.S. Wind Power Market Intro Sidebar: The U.S.Annual Report on U.S. Wind Power Installation, Cost, and

  20. Yinhe Avantis Wind Power Co Ltd formerly known as Avantis Yinhe...

    Open Energy Info (EERE)

    Yinhe Avantis Wind Power Co Ltd formerly known as Avantis Yinhe Wind Power Co Ltd Jump to: navigation, search Name: Yinhe Avantis Wind Power Co Ltd (formerly known as Avantis Yinhe...

  1. Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /

    E-Print Network [OSTI]

    Ghaffari, Azad

    2013-01-01T23:59:59.000Z

    be realized by capturing wind power at altitudes over the2011. [2] ——, “High altitude wind power systems: A survey onOckels, “Optimal cross-wind towing and power generation with

  2. Wind Power Development in the United States: Current Progress, Future Trends

    E-Print Network [OSTI]

    Wiser, Ryan H

    2009-01-01T23:59:59.000Z

    Annual Report on U.S. Wind Power Installation, Cost, andWind Power Development in the United States: Current94720 Abstract: The U.S. wind power industry is in an era of

  3. Analysis of Wind Power Generation of Texas

    E-Print Network [OSTI]

    Liu, Z.; Haberl, J.; Subbarao, K.; Baltazar, J. C.

    from Jul 2002 to Jan 2003 Degradation Analysis - On average, no degradation observed for nine wind farms analyzed over 4-year period. Application of Method 1 to New Site- Sweetwater I Wind Farm ? Energy Systems Laboratory, Texas A&M University Page 3...&M University Page 10 Weather Data: NOAA- ABI 1999 and 2005 Hourly Wind Speed NOAA -ABI Hourly Wind Speed -1999 0 10 20 30 40 Jan-99 Feb-99 M ar-99 Apr-99 M ay-99 Jun-99 Jul-99 Aug-99 Sep-99 Oct-99 Nov-99 Dec-99 W in d Spe ed [m ph ] NOAA -ABI Hourly Wind...

  4. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01T23:59:59.000Z

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

  5. Limits to the power density of very large wind farms

    E-Print Network [OSTI]

    Nishino, Takafumi

    2013-01-01T23:59:59.000Z

    A simple analysis is presented concerning an upper limit of the power density (power per unit land area) of a very large wind farm located at the bottom of a fully developed boundary layer. The analysis suggests that the limit of the power density is about 0.38 times $\\tau_{w0}U_{F0}$, where $\\tau_{w0}$ is the natural shear stress on the ground (that is observed before constructing the wind farm) and $U_{F0}$ is the natural or undisturbed wind speed averaged across the height of the farm to be constructed. Importantly, this implies that the maximum extractable power from such a very large wind farm will not be proportional to the cubic of the wind speed at the farm height, or even the farm height itself, but be proportional to $U_{F0}$.

  6. The Great Plains Wind Power Test Facility

    SciTech Connect (OSTI)

    Schroeder, John

    2014-01-31T23:59:59.000Z

    This multi-year, multi-faceted project was focused on the continued development of a nationally-recognized facility for the testing, characterization, and improvement of grid-connected wind turbines, integrated wind-water desalination systems, and related educational and outreach topics. The project involved numerous faculty and graduate students from various engineering departments, as well as others from the departments of Geosciences (in particular the Atmospheric Science Group) and Economics. It was organized through the National Wind Institute (NWI), which serves as an intellectual hub for interdisciplinary and transdisciplinary research, commercialization and education related to wind science, wind energy, wind engineering and wind hazard mitigation at Texas Tech University (TTU). Largely executed by an academic based team, the project resulted in approximately 38 peer-reviewed publications, 99 conference presentations, the development/expansion of several experimental facilities, and two provisional patents.

  7. Systems and methods for an integrated electrical sub-system powered by wind energy

    DOE Patents [OSTI]

    Liu, Yan (Ballston Lake, NY); Garces, Luis Jose (Niskayuna, NY)

    2008-06-24T23:59:59.000Z

    Various embodiments relate to systems and methods related to an integrated electrically-powered sub-system and wind power system including a wind power source, an electrically-powered sub-system coupled to and at least partially powered by the wind power source, the electrically-powered sub-system being coupled to the wind power source through power converters, and a supervisory controller coupled to the wind power source and the electrically-powered sub-system to monitor and manage the integrated electrically-powered sub-system and wind power system.

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Project Jump to:Wilson Hot SpringNevada:Data0-'92 Wind4

  9. Remote sensing for wind power potential: a prospector's handbook

    SciTech Connect (OSTI)

    Wade, J.E.; Maule, P.A.; Bodvarsson, G.; Rosenfeld, C.L.; Woolley, S.G.; McClenahan, M.R.

    1983-02-01T23:59:59.000Z

    Remote sensing can aid in identifying and locating indicators of wind power potential from the terrestrial, marine, and atmospheric environments (i.e.: wind-deformed trees, white caps, and areas of thermal flux). It is not considered as a tool for determining wind power potential. A wide variety of remotely sensed evidence is described in terms of the scale at which evidence of wind power can be identified, and the appropriate remote sensors for finding such evidence. Remote sensing can be used for regional area prospecting using small-scale imagery. The information from such small-scale imagery is most often qualitative, and if it is transitory, examination of a number of images to verify presistence of the feature may be required. However, this evidence will allow rapid screening of a large area. Medium-scale imagery provides a better picture of the evidence obtained from small-scale imagery. At this level it is best to use existing imagery. Criteria relating to land use, accessibility, and proximity of candidate sites to nearby transmission lines can also be effectively evaluated from medium-scale imagery. Large-scale imagery provides the most quantitative evidence of the strength of wind. Wind-deformed trees can be identified at a large number of sites using only a few hours in locally chartered aircraft. A handheld 35mm camera can adequately document any evidence of wind. Three case studies that employ remote sensing prospecting techniques are described. Based on remotely sensed evidence, the wind power potential in three geographically and climatically diverse areas of the United States is estimated, and the estimates are compared to actual wind data in those regions. In addition, the cost of each survey is discussed. The results indicate that remote sensing for wind power potential is a quick, cost effective, and fairly reliable method for screening large areas for wind power potential.

  10. Fault Analysis at a Wind Power Plant for One Year of Observation: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Mills, Z.; Foster, R.; Conto, J.; Ellis, A.

    2008-07-01T23:59:59.000Z

    This paper analyzes the fault characteristics observed at a wind power plant, and the behavior of the wind power plant under fault events.

  11. Building a New Energy Future with Wind Power (Revised) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-01-01T23:59:59.000Z

    This fact sheet provides an overview of the U.S. Department of Energy's Wind and Water Power Program's wind power research activities.

  12. FOUR ESSAYS ON OFFSHORE WIND POWER POTENTIAL, DEVELOPMENT, REGULATORY FRAMEWORK, AND INTEGRATION

    E-Print Network [OSTI]

    Firestone, Jeremy

    FOUR ESSAYS ON OFFSHORE WIND POWER POTENTIAL, DEVELOPMENT, REGULATORY FRAMEWORK, AND INTEGRATION 2010 Amardeep Dhanju All Rights Reserved #12;FOUR ESSAYS ON OFFSHORE WIND POWER POTENTIAL, DEVELOPMENT

  13. Final Scientific Report - Wind Powering America State Outreach Project

    SciTech Connect (OSTI)

    Sinclair, Mark; Margolis, Anne

    2012-02-01T23:59:59.000Z

    The goal of the Wind Powering America State Outreach Project was to facilitate the adoption of effective state legislation, policy, finance programs, and siting best practices to accelerate public acceptance and development of wind energy. This was accomplished by Clean Energy States Alliance (CESA) through provision of informational tools including reports and webinars as well as the provision of technical assistance to state leaders on wind siting, policy, and finance best practices, identification of strategic federal-state partnership activities for both onshore and offshore wind, and participation in regional wind development collaboratives. The Final Scientific Report - Wind Powering America State Outreach Project provides a summary of the objectives, activities, and outcomes of this project as accomplished by CESA over the period 12/1/2009 - 11/30/2011.

  14. WPA Omnibus Award MT Wind Power Outreach

    SciTech Connect (OSTI)

    Brian Spangler, Manager Energy Planning and Renewables

    2012-01-30T23:59:59.000Z

    The objective of this grant was to further the development of Montanaâ??s vast wind resources for small, medium, and large scale benefits to Montana and the nation. This was accomplished through collaborative work with wind industry representatives, state and local governments, the agricultural community, and interested citizens. Through these efforts MT Dept Environmental Quality (DEQ) was able to identify development barriers, educate and inform citizens, as well as to participate in regional and national dialogue that will spur the development of wind resources. The scope of DEQâ??s wind outreach effort evolved over the course of this agreement from the development of the Montana Wind Working Group and traditional outreach efforts, to the current focus on working with the stateâ??s university system to deliver a workforce trained to enter the wind industry.

  15. Sandia National Laboratories: Wind & Water Power Newsletter

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

    reports, papers, and events published by Sandia. This monthly newsletter is intended for wind industry partners, stakeholders, universities and potential partners. This issue...

  16. Impact of Energy Imbalance Tariff on Wind Energy

    SciTech Connect (OSTI)

    Wan, Y.; Milligan, M.; Kirby, B.

    2007-07-01T23:59:59.000Z

    This paper summarizes the results of a study that uses actual wind power data and actual energy prices to analyze the impact of an energy imbalance tariff imposed by the Federal Energy Regulatory Commission on wind power.

  17. World-Unique Wind Facilities Designed to protect us from storms, harness the power of wind and

    E-Print Network [OSTI]

    Denham, Graham

    World-Unique Wind Facilities Designed to protect us from storms, harness the power of wind and develop sustainable cities, the Wind Engineering, Energy and the Environment (WindEEE) Institute at Western University is home to the world's first three-dimensional wind-testing chamber. Its facilities

  18. Effect of ocean surface currents on wind stress, heat flux, and wind power input to the ocean

    E-Print Network [OSTI]

    Thompson, LuAnne

    Effect of ocean surface currents on wind stress, heat flux, and wind power input to the ocean, J. T., and L. Thompson (2006), Effect of ocean surface currents on wind stress, heat flux, and wind power input to the ocean, Geophys. Res. Lett., 33, L09604, doi:10.1029/2006GL025784. 1. Introduction [2

  19. EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJuly 2011D APPENDIXKahuku Wind Power, LLC, Construction of the|

  20. Wind for Schools Project Power System Brief, Wind Powering America Fact Sheet Series

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot ProjectWind Powering

  1. Datang Jilin Wind Power Stockholding Co Ltd Formerly Jilin Noble Wind Power

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergy Offshore Place:WindOilCowalJilin Power Generation

  2. Wind Power Today, 2010, Wind and Water Power Program (WWPP) | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofofto PurchaseAprilWind PowerEnergy

  3. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2010-01-01T23:59:59.000Z

    Wind Energy Association (2009), American Wind Energy Asso-ciation annual wind industry report: Year ending 2008,2005), Evaluation of global wind power, J. Geophys. Res. ,

  4. Review of Historical and Modern Utilization of Wind Power Publications Department

    E-Print Network [OSTI]

    UTILIZATION TODAY WIND POWER TECHNOLOGY q Modern wind turbine technology q Concepts COST OF WIND ENERGY TYPES costs BEGINNERS GUIDE TO WIND ENERGY STUDIES q Selected text books on wind energy and wind turbines WECS - Wind Energy Conversion Systems. To co-ordinate the many terms derived from ancient Teutonic

  5. Final Technical Report - Kotzebue Wind Power Project - Volume II

    SciTech Connect (OSTI)

    Rana Zucchi, Global Energy Concepts, LLC; Brad Reeve, Kotzebue Electric Association; DOE Project Officer - Doug Hooker

    2007-10-31T23:59:59.000Z

    The Kotzebue Wind Power Project is a joint undertaking of the U.S. Department of Energy (DOE); Kotzebue Electric Association (KEA); and the Alaska Energy Authority (AEA). The goal of the project is to develop, construct, and operate a wind power plant interconnected to a small isolated utility grid in an arctic climate in Northwest Alaska. The primary objective of KEA’s wind energy program is to bring more affordable electricity and jobs to remote Alaskan communities. DOE funding has allowed KEA to develop a multi-faceted approach to meet these objectives that includes wind project planning and development, technology transfer, and community outreach. The first wind turbines were installed in the summer of 1997 and the newest turbines were installed in the spring of 2007. The total installed capacity of the KEA wind power project is 1.16 MW with a total of 17 turbines rated between 65 kW and 100 kW. The operation of the wind power plant has resulted in a wind penetration on the utility system in excess of 35% during periods of low loads. This document and referenced attachments are presented as the final technical report for the U.S. Department of Energy (DOE) grant agreement DE-FG36-97GO10199. Interim deliverables previously submitted are also referenced within this document and where reasonable to do so, specific sections are incorporated in the report or attached as appendices.

  6. Proceedings of National Avian-Wind Power Planning Meeting IV

    SciTech Connect (OSTI)

    NWCC Avian Subcommittee

    2001-05-01T23:59:59.000Z

    OAK-B135 The purpose of the fourth meeting was to (1) share research and update research conducted on avian wind interactions (2) identify questions and issues related to the research results, (3) develop conclusions about some avian/wind power issues, and (4) identify questions and issues for future avian research.

  7. Ris-R-1256(EN) Isolated Systems with Wind Power

    E-Print Network [OSTI]

    of methods and guidelines rather than "universal solutions" for the use of wind energy in isolated the technical and economical feasibility of isolated power supply systems with wind energy. As a part of the project the following tasks were carried out: Review of literature, field measurements in Egypt

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

    SciTech Connect (OSTI)

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

    2012-07-01T23:59:59.000Z

    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).

  9. Electrical Collection and Transmission Systems for Offshore Wind Power: Preprint

    SciTech Connect (OSTI)

    Green, J.; Bowen, A.; Fingersh, L.J.; Wan, Y.

    2007-03-01T23:59:59.000Z

    The electrical systems needed for offshore wind farms to collect power from wind turbines--and transmit it to shore--will be a significant cost element of these systems. This paper describes the development of a simplified model of the cost and performance of such systems.

  10. Modeling Framework and Validation of a Smart Grid and Demand Response System for Wind Power Integration

    SciTech Connect (OSTI)

    Broeer, Torsten; Fuller, Jason C.; Tuffner, Francis K.; Chassin, David P.; Djilali, Ned

    2014-01-31T23:59:59.000Z

    Electricity generation from wind power and other renewable energy sources is increasing, and their variability introduces new challenges to the power system. The emergence of smart grid technologies in recent years has seen a paradigm shift in redefining the electrical system of the future, in which controlled response of the demand side is used to balance fluctuations and intermittencies from the generation side. This paper presents a modeling framework for an integrated electricity system where loads become an additional resource. The agent-based model represents a smart grid power system integrating generators, transmission, distribution, loads and market. The model incorporates generator and load controllers, allowing suppliers and demanders to bid into a Real-Time Pricing (RTP) electricity market. The modeling framework is applied to represent a physical demonstration project conducted on the Olympic Peninsula, Washington, USA, and validation simulations are performed using actual dynamic data. Wind power is then introduced into the power generation mix illustrating the potential of demand response to mitigate the impact of wind power variability, primarily through thermostatically controlled loads. The results also indicate that effective implementation of Demand Response (DR) to assist integration of variable renewable energy resources requires a diversity of loads to ensure functionality of the overall system.

  11. EFFECT OF PITCH CONTROL AND POWER CONDITIONING ON POWER QUALITY OF VARIABLE SPEED WIND TURBINE GENERATORS

    E-Print Network [OSTI]

    EFFECT OF PITCH CONTROL AND POWER CONDITIONING ON POWER QUALITY OF VARIABLE SPEED WIND TURBINE), Curtin University of Technology, WA Abstract: Variable speed wind turbine generators provide the opportunity to capture more power than fixed speed turbines. However the variable speed machine output can

  12. Effects of Price-Responsive Residential Demand on Retail and Wholesale Power Market Operations

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Effects of Price-Responsive Residential Demand on Retail and Wholesale Power Market Operations/C) on integrated retail and wholesale power market operations. The physical operations of the A/C sys- tem at wholesale conditional on A/C load, and the retail energy prices offered to residential A/C consumers

  13. Stochastic Behaviour of the Electricity Bid Stack: from Fundamental Drivers to Power Prices

    E-Print Network [OSTI]

    Howison, Sam

    Stochastic Behaviour of the Electricity Bid Stack: from Fundamental Drivers to Power Prices Michael@maths.ox.ac.uk (01865 280613) Sam Howison Oxford-Man Institute, University of Oxford, Blue Boar Court, 9 Alfred Street on stochastic processes for underlying factors (fuel prices, power demand and generation capacity availability

  14. Biennial Assessment of the Fifth Power Plan Interim Report on Electric Price Forecasts

    E-Print Network [OSTI]

    because natural gas fired electric generating plants are on the margin much of the time in Western marketsBiennial Assessment of the Fifth Power Plan Interim Report on Electric Price Forecasts Electricity prices in the Council's Power Plan are forecast using the AURORATM Electricity Market Model of the entire

  15. Variability of wind power near Oklahoma City and implications for siting of wind turbines

    SciTech Connect (OSTI)

    Kessler, E.; Eyster, R.

    1987-09-01T23:59:59.000Z

    Data from five sites near Oklahoma City were examined to assess wind power availability. Wind turbines of identical manufacture were operated at three of the sites, one of which was also equipped with anemometers on a 100-ft tower. Comprehensive anemometric data were available from the other two sites. The study indicates that the average wind speed varies substantially over Oklahoma's rolling plains, which have often been nominally regarded as flat for purposes of wind power generation. Average wind differences may be as much as 5 mph at 20 ft above ground level, and 7 mph at 100 ft above ground level for elevation differences of about 200 ft above mean sea level, even in the absence of substantial features of local terrain. Local altitude above mean sea level seems to be as influential as the shape of local terrain in determining the average wind speed. The wind turbine used at a meteorologically instrumented site in the study produced the power expected from it for the wind regime in which it was situated. The observed variations of local wind imply variations in annual kWh of as much as a factor of four between identical turbines located at similar heights above ground level in shallow valleys and on hilltops or elevated extended flat areas. 17 refs., 39 figs., 11 tabs.

  16. A Framework to Determine the Probability Density Function for the Output Power of Wind Farms

    E-Print Network [OSTI]

    Liberzon, Daniel

    A Framework to Determine the Probability Density Function for the Output Power of Wind Farms Sairaj to the power output of a wind farm while factoring in the availability of the wind turbines in the farm availability model for the wind turbines, we propose a method to determine the wind-farm power output pdf

  17. Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering P : 10.1016/j.jweia.2008.03.013 #12;2 Abstract This paper studies the application of Kalman filtering forecasts. The application of Kalman filter to these data leads to the elimination of any possible

  18. Wind power on BPA system sets another new record

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

    RELEASE Tuesday, March 20, 2012 CONTACT: Mike Hansen, BPA 503-230-4328 or 503-230-5131 Wind power on BPA system sets another new record The renewable resource passes 4,000...

  19. Sandia National Laboratories: grid-tied wind-power inverters

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

    wind-power inverters Sandia, DOE Energy Storage Program, GeneSiC Semiconductor, U.S. Army ARDEC: Ultra-High-Voltage Silicon Carbide Thyristors On March 29, 2013, in Capabilities,...

  20. New Report Evaluates Impacts of DOE's Wind Powering America Initiative...

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

    Department of Energy (DOE) in 1999, was to facilitate a rapid increase in U.S. wind power capacity by engaging in activities that address barriers to deployment on national,...

  1. accurate wind power: Topics by E-print Network

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

    Plant in Iran will be studied, in this article, focus is made mostly on computerized simulation of power plant sites for optimized configuration of wind farm turbines by using...

  2. aggregated wind power: Topics by E-print Network

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

    Plant in Iran will be studied, in this article, focus is made mostly on computerized simulation of power plant sites for optimized configuration of wind farm turbines by using...

  3. QER- Comment of Oceti Sakowin Sioux Wind Power Project

    Broader source: Energy.gov [DOE]

    Dear Secretariat: Attached please find the Comments of the Oceti Sakowin Sioux Wind Power Project, for inclusion in the record of the QER. If any questions, please direct to the undersigned.

  4. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    farms. For example, the Inner Mongolia Power Company, whichoperates in western Inner Mongolia and has access to some ofstrong winds in Inner Mongolia, China‘s FIT may provide high

  5. Wind Generation in the Future Competitive California Power Market

    SciTech Connect (OSTI)

    Sezgen, O.; Marnay, C.; Bretz, S.

    1998-03-01T23:59:59.000Z

    The goal of this work is to develop improved methods for assessing the viability of wind generation in competitive electricity markets. The viability of a limited number of possible wind sites is assessed using a geographic information system (GIS) to determine the cost of development, and Elfin, an electric utility production costing and capacity expansion model, to estimate the possible revenues and profits of wind farms at the sites. This approach improves on a simple profitability calculation by using a site-specific development cost calculation and by taking the effect of time varying market prices on revenues into account. The first component of the work is to develop data characterizing wind resources suitable for use in production costing and capacity expansion models, such as Elfin, that are capable of simulating competitive electricity markets. An improved representation of California wind resources is built, using information collected by the California Energy Commission (CE C) in previous site evaluations, and by using a GIS approach to estimating development costs at 36 specific sites. These sites, which have been identified as favorable for wind development, are placed on Digital Elevation Maps (DEMs) and development costs are calculated based on distances to roads and transmission lines. GIS is also used to develop the potential capacity at each site by making use of the physical characteristics of the terrain, such as ridge lengths. In the second part of the effort, using a previously developed algorithm for simulating competitive entry to the California electricity market, the Elfin model is used to gauge the viability of wind farms at the 36 sites. The results of this exercise are forecasts of profitable development levels at each site and the effects of these developments on the electricity system as a whole. Under best guess assumptions, including prohibition of new nuclear and coal capacity, moderate increase in gas prices and some decline in renewable capital costs, about 7.35 GW of the 10 GW potential capacity at the 36 specific sites is profitably developed and 62 TWh of electricity produced per annum by the year 2030. Most of the development happens during the earlier years of the forecast. Sensitivity of these results to future gas price scenarios is also presented. This study also demonstrates that an analysis based on a simple levelized profitability calculation approach does not sufficiently capture the implications of time varying prices in a competitive market.

  6. Impact of Increasing Distributed Wind Power and Wind Turbine Siting on Rural Distribution Feeder Voltage Profiles: Preprint

    SciTech Connect (OSTI)

    Allen, A.; Zhang, Y. C.; Hodge, B. M.

    2013-09-01T23:59:59.000Z

    Many favorable wind energy resources in North America are located in remote locations without direct access to the transmission grid. Building transmission lines to connect remotely-located wind power plants to large load centers has become a barrier to increasing wind power penetration in North America. By connecting utility-sized megawatt-scale wind turbines to the distribution system, wind power supplied to consumers could be increased greatly. However, the impact of including megawatt-scale wind turbines on distribution feeders needs to be studied. The work presented here examined the impact that siting and power output of megawatt-scale wind turbines have on distribution feeder voltage. This is the start of work to present a general guide to megawatt-scale wind turbine impact on the distribution feeder and finding the amount of wind power that can be added without adversely impacting the distribution feeder operation, reliability, and power quality.

  7. Wind Powering America: A Key Influence on U.S. Wind Market (Fact Sheet)

    SciTech Connect (OSTI)

    O'Dell, K.

    2013-09-01T23:59:59.000Z

    This fact sheet summarizes an evaluation of the effectiveness of the Wind Powering America initiative conducted by an independent consultant funded by the U.S. Department of Energy.

  8. Sinomatech Wind Power Blade aka Sinoma Science Technology Wind Turbine

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDITCalifornia Sector:Shrenik Industries Jump to:Simran Wind Project

  9. NREL: Wind Research - Wind and Water Power Fact Sheets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6SiteUtility-ScaleWind

  10. Wind Powering America Hosts Fifth Annual Wind for Schools Summit |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofofto PurchaseAprilWind

  11. Wind Powering America Webinar: Wind and Wildlife Interactions | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofofto PurchaseAprilWindFuture Trends |of

  12. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01T23:59:59.000Z

    and Renewable Energy (Wind & Hydropower TechnologiesU.S. Department of Energy (Wind and Hydropower TechnologiesPublic Perceptions of Wind Energy. Wind Energy, 2004, 8:2,

  13. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    M. ( 1989) Attitudes and Expectancies about Wind Turbinesand Wind Farms.Wind Engineering. 13(4): 196-206. Wolsink, M. (2000) Wind

  14. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    M. (1989) Attitudes and Expectancies about Wind Turbinesand Wind Farms.Wind Engineering. 13(4): 196-206. Wolsink, M. (2000) Wind

  15. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01T23:59:59.000Z

    U.S. Department of Energy (Wind and Hydropower Technologiesand Renewable Energy (Wind & Hydropower TechnologiesPublic Perceptions of Wind Energy. Wind Energy, 2004, 8:2,

  16. MAST/GEOG 667: Wind Power Meteorology Fall 2013, 3 credit hours

    E-Print Network [OSTI]

    Delaware, University of

    to understand onshore, offshore, and airborne wind power. Topics include: forces affecting-level winds: Pressure Gradient Force and Coriolis (pressure surfaces, geostrophic flowMAST/GEOG 667: Wind Power Meteorology Fall 2013, 3 credit hours 1

  17. Ex post analysis of economic impacts from wind power development in U.S. counties

    E-Print Network [OSTI]

    Brown, Jason P

    2014-01-01T23:59:59.000Z

    2011) Figure 1. Location of Wind Power Development in theUnited States Figure 2: U.S. Wind Resource Map (Source:Resource Potential for Wind Capacity (Power Class 3-7, MW)

  18. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    The Annual Report on U.S. Wind Power Installation, Cost, andExpectations: State of the U.S. Wind Power Market IntroSidebar: The U.S. wind industry experienced unprecedented

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

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

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

  20. Status of Centralized Wind Power Forecasting in North America: May 2009-May 2010

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2010-04-01T23:59:59.000Z

    Report surveys grid wind power forecasts for all wind generators, which are administered by utilities or regional transmission organizations (RTOs), typically with the assistance of one or more wind power forecasting companies.

  1. Transient Stability Assessment of Power System with Large Amount of Wind Power Penetration: the

    E-Print Network [OSTI]

    Bak, Claus Leth

    the transient stability. In Denmark, the onshore and offshore wind farms are connected to distribution system and transmission system respectively. The control and protection methodologies of onshore and offshore wind farms definitely affect the transient stability of power system. In this paper, the onshore and offshore wind farms

  2. Water Power for a Clean Energy Future (Fact Sheet), Wind and...

    Energy Savers [EERE]

    Water Power for a Clean Energy Future (Fact Sheet), Wind and Water Power Program (WWPP) Water Power for a Clean Energy Future (Fact Sheet), Wind and Water Power Program (WWPP) This...

  3. Federal Incentives for Wind Power (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-05-01T23:59:59.000Z

    This fact sheet describes the federal incentives available as of April 2013 that encourage increased development and deployment of wind energy technologies, including research grants, tax incentives, and loan programs.

  4. REAP Islanded Grid Wind Power Conference

    Broader source: Energy.gov [DOE]

    Hosted by Renewable Energy Alaska Project, this three-day conference will show attendees how to learn, network, and share information on wind systems in island and islanded grid environments through expert panel discussions, stakeholder dialogue, and training.

  5. Wind Power Forecasting Error Frequency Analyses for Operational Power System Studies: Preprint

    SciTech Connect (OSTI)

    Florita, A.; Hodge, B. M.; Milligan, M.

    2012-08-01T23:59:59.000Z

    The examination of wind power forecasting errors is crucial for optimal unit commitment and economic dispatch of power systems with significant wind power penetrations. This scheduling process includes both renewable and nonrenewable generators, and the incorporation of wind power forecasts will become increasingly important as wind fleets constitute a larger portion of generation portfolios. This research considers the Western Wind and Solar Integration Study database of wind power forecasts and numerical actualizations. This database comprises more than 30,000 locations spread over the western United States, with a total wind power capacity of 960 GW. Error analyses for individual sites and for specific balancing areas are performed using the database, quantifying the fit to theoretical distributions through goodness-of-fit metrics. Insights into wind-power forecasting error distributions are established for various levels of temporal and spatial resolution, contrasts made among the frequency distribution alternatives, and recommendations put forth for harnessing the results. Empirical data are used to produce more realistic site-level forecasts than previously employed, such that higher resolution operational studies are possible. This research feeds into a larger work of renewable integration through the links wind power forecasting has with various operational issues, such as stochastic unit commitment and flexible reserve level determination.

  6. EA-1992: Funding for Principle Power, Inc., for the WindFloat Pacific Offshore Wind Demonstration Project, offshore of Coos Bay, Oregon

    Broader source: Energy.gov [DOE]

    Funding for Principle Power, Inc., for the WindFloat Pacific Offshore Wind Demonstration Project, offshore of Coos Bay, Oregon

  7. July 29th -30th 2010 1Integration of Wind Power in the Danish Energy System Integration of Wind Power in the Danish Energy System

    E-Print Network [OSTI]

    1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 MW Offshore Onshore Wind · Wind farms: · Grid codes ensure capability to regulate #12;July 29th - 30th 2010 9Integration of WindJuly 29th - 30th 2010 1Integration of Wind Power in the Danish Energy System Integration of Wind

  8. Oscillation Damping: A Comparison of Wind and Photovoltaic Power Plant Capabilities: Preprint

    SciTech Connect (OSTI)

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

    2014-07-01T23:59:59.000Z

    This work compares and contrasts strategies for providing oscillation damping services from wind power plants and photovoltaic power plants.

  9. Web-based Tool for Preliminary Assessment of Wind Power Plant Design

    E-Print Network [OSTI]

    Mustakerov, Ivan

    Web-based Tool for Preliminary Assessment of Wind Power Plant Design Daniela Borissova1 and Ivan. Designing of reliable and cost-effective industrial wind power plant is a prerequisite for the effective use of wind power as an alternative resource. The design of a wind power plant includes the determination

  10. Wind power bidding in a soft penalty market Antonio Giannitrapani, Simone Paoletti, Antonio Vicino, Donato Zarrilli

    E-Print Network [OSTI]

    Giannitrapani, Antonello

    Wind power bidding in a soft penalty market Antonio Giannitrapani, Simone Paoletti, Antonio Vicino, Donato Zarrilli Abstract-- In this paper we consider the problem of offering wind power in a market of the prior wind power statistics, is derived analytically by maximizing the expected profit of the wind power

  11. Opportunities For Wind In The APX Green Power MarketTM

    E-Print Network [OSTI]

    Green Power Market. These include wind, solar, geothermal, biomass, landfill gas, and small hydro (less

  12. Towns across Massachusetts are considering wind power, not only because it is one of the cleanest,

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Towns across Massachusetts are considering wind power, not only because it is one of the cleanest managed wind power project can be a net source of income. This fact sheet introduces the major factors to consider in determining whether your town can benefit from wind power. Can my community use wind power

  13. 7th International Workshop on Large-Scale Integration of Wind Power and on Transmission Networks for Offshore Wind Farms Models for HLI analysis of power systems with

    E-Print Network [OSTI]

    Bak-Jensen, Birgitte

    for Offshore Wind Farms 1 Models for HLI analysis of power systems with offshore wind farms and distributed power plants, distributed generation and offshore wind farms. Particular attention is paid to the latter]-[4], but there is a lack of models of offshore wind farms, which introduce new issues for their representation, due to some

  14. Abstract--The offshore wind farm with installed back-to-back power converter in wind turbines is studied. As an

    E-Print Network [OSTI]

    Bak, Claus Leth

    Abstract--The offshore wind farm with installed back-to- back power converter in wind turbines is studied. As an example the Burbo Bank offshore wind farm with Siemens Wind Power wind turbines is taken are compared with measurement data from the Burbo Bank offshore wind farm. The delimitations of both power

  15. 2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    This study presents BPA's market price forecasts for the Final Proposal, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's power rates. AURORA was used as the primary tool for (a) estimating the forward price for the IOU REP Settlement benefits calculation for fiscal years (FY) 2008 and 2009, (b) estimating the uncertainty surrounding DSI payments and IOU REP Settlements benefits, (c) informing the secondary revenue forecast and (d) providing a price input used for the risk analysis. For information about the calculation of the secondary revenues, uncertainty regarding the IOU REP Settlement benefits and DSI payment uncertainty, and the risk run, see Risk Analysis Study WP-07-FS-BPA-04.

  16. Abstract--This paper introduces the power quality issues of wind power installations in a historic perspective, as the

    E-Print Network [OSTI]

    1 Abstract--This paper introduces the power quality issues of wind power installations large offshore wind farms connected at transmission level. In this perspective, the power quality issues and global issues related to the power system control and stability. Power quality characteristics of wind

  17. Wind Turbine Generator System Duration Test Report for the Mariah Power Windspire Wind Turbine

    SciTech Connect (OSTI)

    Huskey, A.; Bowen, A.; Jager, D.

    2010-05-01T23:59:59.000Z

    This test was conducted as part of the U.S. Department of Energy's (DOE) Independent Testing project to help reduce the barriers of wind energy expansion by providing independent testing results for small turbines. In total, five turbines are being tested at the National Wind Technology Center (NWTC) as a part of the first round of this project. Duration testing is one of up to five tests that may be performed on the turbines. Other tests include power performance, safety and function, noise, and power quality tests. NWTC testing results provide manufacturers with reports that may be used to meet part of small wind turbine certification requirements. This duration test report focuses on the Mariah Power Windspire wind turbine.

  18. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    about Wind Turbines and Wind Farms. Wind Engineering. 13(4):Towards the Development of Wind Farms in Australia. JournalEconomic Analysis of a Wind Farm in Nantucket Sound. Beacon

  19. Daqing Longjiang Wind Power | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergy Offshore Place:WindOilCowal WindDakshidinDeta

  20. Fenton Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEurope BV JumpFederal Highway AdministrationFellowsWindWind

  1. Impact of DFIG wind turbines on transient stability of power systems a review

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    Impact of DFIG wind turbines on transient stability of power systems ­ a review Authors Na Abstract of wind farms are using variable speed wind turbines equipped with doubly-fed induction generators (DFIG) due to their advantages over other wind turbine generators. Therefore, the analysis of wind power

  2. Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /

    E-Print Network [OSTI]

    Ghaffari, Azad

    2013-01-01T23:59:59.000Z

    both AC drives and wind energy Turbine, shaft, and Gear BoxWind Energy Conversion Systems using Extremum Seeking Wind turbines (wind energy generation can be realized by capturing wind power at altitudes over the ground that cannot be reached by wind turbines.

  3. State and Regional Comprehensive Carbon Pricing and Greenhouse Gas Regulation in the Power Sector under the EPA's Clean Power Plan

    E-Print Network [OSTI]

    California at Davis, University of

    1 State and Regional Comprehensive Carbon Pricing and Greenhouse Gas Regulation in the Power Sector goal of comprehensive carbon pricing along with various other policies (LCFS) · Into this setting drops rate" and the role of renewable energy and energy efficiency in the rate targets and in compliance

  4. Short-term Wind Power Prediction for Offshore Wind Farms -Evaluation of Fuzzy-Neural Network Based Models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Wind Power Prediction for Offshore Wind Farms - Evaluation of Fuzzy-Neural Network Based of offshore farms and their secure integration to the grid. Modeling the behavior of large wind farms presents the new considerations that have to be made when dealing with large offshore wind farms

  5. Wind power development -Status and perspectives

    E-Print Network [OSTI]

    countries together covering ap- prox. 80% of the growth in installed wind turbine capacity world wide years the global in- stalled capacity has increased almost threefold, from approx. 2.3 GW in 1991 has increased - in 1995 and 1996 global capacity has increased by approx. 1.3 GW annually or more than

  6. A structural risk-neutral model for pricing and hedging power derivatives

    E-Print Network [OSTI]

    Nicolas Langrené§ October 12, 2010 Abstract We develop a structural risk-neutral model for energy market makes such a market incomplete. We follow a local risk minimization approach to price and hedge energyA structural risk-neutral model for pricing and hedging power derivatives René Aïd Luciano Campi

  7. Fourth International Workshop on Large-Scale Integration of Wind Power and Transmission Networks for Offshore Wind Farms,

    E-Print Network [OSTI]

    for Offshore Wind Farms, 20-21 October 2003, Billund, Denmark C. S. Nielsen, Hans F. Ravn, Camilla Schaumburg1 Fourth International Workshop on Large-Scale Integration of Wind Power and Transmission Networks of Denmark, B. 321, DK-2800 Lyngby, Denmark, csm@imm.dtu.dk Two wind power prognosis criteria and regulating

  8. On the Wind Power Input to the Ocean General Circulation XIAOMING ZHAI

    E-Print Network [OSTI]

    Johnson, Helen

    On the Wind Power Input to the Ocean General Circulation XIAOMING ZHAI Atmospheric, Oceanic January 2012, in final form 3 May 2012) ABSTRACT The wind power input to the ocean general circulation is usually calculated from the time-averaged wind products. Here, this wind power input is reexamined using

  9. PERFORMANCE ENHANCEMENT OF WIND TURBINE POWER REGULATION BY SWITCHED LINEAR CONTROL

    E-Print Network [OSTI]

    Duffy, Ken

    PERFORMANCE ENHANCEMENT OF WIND TURBINE POWER REGULATION BY SWITCHED LINEAR CONTROL D.J.Leith W Power regulation of horizontal-axis grid-connected up-wind constant-speed pitch-regulated wind turbines ENHANCEMENT OF WIND TURBINE POWER REGULATION BY SWITCHED LINEAR CONTROL D.J.Leith W.E.Leithead Department

  10. Short-term Wind Power Forecasting Using Advanced Statistical T.S. Nielsen1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , in order to be able to absorb a large fraction of wind power in the electrical systems reliable short from refer- ence MET forecasts to the actual wind farm, wind farm power curve models, dynamical models of art wind power prediction system is outlined in Section 2. Numerical Weather Prediction (NWP

  11. Demand Side Management for Wind Power Integration in Microgrid Using Dynamic Potential Game Theory

    E-Print Network [OSTI]

    Huang, Jianwei

    Demand Side Management for Wind Power Integration in Microgrid Using Dynamic Potential Game Theory, Wind Power Integration, Markov Chain, Dynamic Potential Game Theory, Nash Equilibrium. I. INTRODUCTION the intermittency in wind power generation. Our focus is on an isolated microgrid with one wind turbine, one fast

  12. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    and Renewable Energy (Wind & Hydropower Technologiesfor Understanding Public Perceptions of Wind Energy.Wind Energy. 8(2): 125 - 139. Durbin, J. and Watson, G. S. (

  13. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    in a lower cost of wind generation. Acknowledgments The worklevelized cost of wind generation (which is further affectedlevelized cost of wind generation (due to the latter also

  14. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01T23:59:59.000Z

    Areas and Potential Study Areas The 24 wind facilities,by exploring the potential impact of wind facilities on homeon the three potential stigmas surrounding wind facilities.

  15. 1 Introduction The hedonic housing price model is a powerful econometric tool for capturing

    E-Print Network [OSTI]

    Wei, Yehua Dennis

    1 Introduction The hedonic housing price model is a powerful econometric tool for capturing to the advancement in spatial statistics and spatial econometrics (eg Anselin, 1988; Cliff and Ord, 1981; Griffith

  16. Final Technical Report Power through Policy: "Best Practices" for Cost-Effective Distributed Wind

    SciTech Connect (OSTI)

    Rhoads-Weaver, Heather; Gagne, Matthew; Sahl, Kurt; Orrell, Alice; Banks, Jennifer

    2012-02-28T23:59:59.000Z

    Power through Policy: 'Best Practices' for Cost-Effective Distributed Wind is a U.S. Department of Energy (DOE)-funded project to identify distributed wind technology policy best practices and to help policymakers, utilities, advocates, and consumers examine their effectiveness using a pro forma model. Incorporating a customized feed from the Database of State Incentives for Renewables and Efficiency (DSIRE), the Web-based Distributed Wind Policy Comparison Tool (Policy Tool) is designed to assist state, local, and utility officials in understanding the financial impacts of different policy options to help reduce the cost of distributed wind technologies. The project's final products include the Distributed Wind Policy Comparison Tool, found at www.windpolicytool.org, and its accompanying documentation: Distributed Wind Policy Comparison Tool Guidebook: User Instructions, Assumptions, and Case Studies. With only two initial user inputs required, the Policy Tool allows users to adjust and test a wide range of policy-related variables through a user-friendly dashboard interface with slider bars. The Policy Tool is populated with a variety of financial variables, including turbine costs, electricity rates, policies, and financial incentives; economic variables including discount and escalation rates; as well as technical variables that impact electricity production, such as turbine power curves and wind speed. The Policy Tool allows users to change many of the variables, including the policies, to gauge the expected impacts that various policy combinations could have on the cost of energy (COE), net present value (NPV), internal rate of return (IRR), and the simple payback of distributed wind projects ranging in size from 2.4 kilowatts (kW) to 100 kW. The project conducted case studies to demonstrate how the Policy Tool can provide insights into 'what if' scenarios and also allow the current status of incentives to be examined or defended when necessary. The ranking of distributed wind state policy and economic environments summarized in the attached report, based on the Policy Tool's default COE results, highlights favorable market opportunities for distributed wind growth as well as market conditions ripe for improvement. Best practices for distributed wind state policies are identified through an evaluation of their effect on improving the bottom line of project investments. The case studies and state rankings were based on incentives, power curves, and turbine pricing as of 2010, and may not match the current results from the Policy Tool. The Policy Tool can be used to evaluate the ways that a variety of federal and state policies and incentives impact the economics of distributed wind (and subsequently its expected market growth). It also allows policymakers to determine the impact of policy options, addressing market challenges identified in the U.S. DOE's '20% Wind Energy by 2030' report and helping to meet COE targets. In providing a simple and easy-to-use policy comparison tool that estimates financial performance, the Policy Tool and guidebook are expected to enhance market expansion by the small wind industry by increasing and refining the understanding of distributed wind costs, policy best practices, and key market opportunities in all 50 states. This comprehensive overview and customized software to quickly calculate and compare policy scenarios represent a fundamental step in allowing policymakers to see how their decisions impact the bottom line for distributed wind consumers, while estimating the relative advantages of different options available in their policy toolboxes. Interested stakeholders have suggested numerous ways to enhance and expand the initial effort to develop an even more user-friendly Policy Tool and guidebook, including the enhancement and expansion of the current tool, and conducting further analysis. The report and the project's Guidebook include further details on possible next steps. NREL Report No. BK-5500-53127; DOE/GO-102011-3453.

  17. Real-Time Pricing- A Flexible Alternative for Electrical Power Supply

    E-Print Network [OSTI]

    Reynolds, S. D.; Frye, A. O. Jr.

    REAL-TIME PRICING - A FLEXIBLE ALTERNATIVE ..OR ELECTRICAL POWER SUPPLY S. D. REYNOLDS Manager of Industrial Marketing & Services Tennessee Valley Authority Chattanooga, Tennessee ABSTRACT In an increasingly competitive operating... conditions to more tl,an 240 mills per kilo,~atthollr 78 REAL-TIME PRICING A FLEXIBLE ALTERNATIVE rOR ELECTRICAL POWER SUPPLY S. D. REYNOLDS Manager of Industrial Marketing & Services Tennessee Valley Authority Chattanooga, Tennessee ABSTRACT...

  18. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Dissecting Wind Turbine Costs. ” WindStats Newsletter, vol.A. Laxson. 2006. Wind Turbine Design Cost and Scaling Model.driven down wind energy costs (for a brief survey of the

  19. Maoming Zhong ao Wind Power Co Ltd | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarmsPower CoLongxing WindMaoming Zhong ao Wind Power Co

  20. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    cycle assessment of a wind farm and related externalities. ”and onshore sited wind farms. Document number 200128,

  1. wind powering america | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Hometcdb Home Graham7781'sHome

  2. TS Wind Power Developers | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDITCalifornia Sector:Shrenik IndustriesState ofSwitchpowerTCITMETS Wind

  3. Hardscrabble Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategy | OpenHalfWind Jump

  4. 2014 Year-End Wind Power Capacity

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind2 0

  5. Madison Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend < MHKconverter <WAGMadison Gas & Electric CoWind

  6. Infinity Wind Power Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7Open EnergyHydrogen Jump to: navigation, searchWind

  7. Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets (LMPs) in an ISO-managed restructured wholesale power market operating over an AC transmission grid-determining) generation companies induce correlations among neighboring LMPs. Index Terms--Restructured wholesale power

  8. Priority Network Access Pricing for Electric Power Shijie Deng and Shmuel Oren

    E-Print Network [OSTI]

    California at Berkeley. University of

    PWP-072 Priority Network Access Pricing for Electric Power Shijie Deng and Shmuel Oren February 2000 This paper is part of the working papers series of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy Institute, a multicampus research unit

  9. Pricing Hydroelectric Power Plants with/without Operational Restrictions: a Stochastic Control Approach

    E-Print Network [OSTI]

    Forsyth, Peter A.

    Pricing Hydroelectric Power Plants with/without Operational Restrictions: a Stochastic Control of Waterloo, Waterloo ON, Canada N2L 3G1 Abstract. In this paper, we value hydroelectric power plant cash. The power plant valuation problem under a ramping constraint is characterized as a bounded stochastic

  10. NCAR WRF-based data assimilation and forecasting systems for wind energy applications power

    E-Print Network [OSTI]

    Kim, Guebuem

    NCAR WRF-based data assimilation and forecasting systems for wind energy applications power Yuewei of these modeling technologies w.r.t. wind energy applications. Then I'll discuss wind farm

  11. Next Generation Short-Term Forecasting of Wind Power Overview of the ANEMOS Project.

    E-Print Network [OSTI]

    Boyer, Edmond

    of difficulties to the power system operation. This is due to the fluctuating nature of wind generation to the management of wind generation. Accurate and reliable forecasting systems of the wind production are widely

  12. Examination of Capacity and Ramping Impacts of Wind Energy on Power Systems

    SciTech Connect (OSTI)

    Kirby, B.; Milligan, M.

    2008-07-01T23:59:59.000Z

    When wind plants serve load within the balancing area, no additional capacity required to integrate wind power into the system. We present some thought experiments to illustrate some implications for wind integration studies.

  13. Community wind power ownership schemes in Europe and their relevance to the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2001-01-01T23:59:59.000Z

    Wizelius, T. 1999c. “Wind bank opens to Swedish co-ops. ”Andersen, P.D. 1998. Wind Power in Denmark: Technology,of Community Ownership in a Wind Energy Project at Harlock

  14. On the Patterns of Wind-Power Input to the Ocean Circulation

    E-Print Network [OSTI]

    Roquet, Fabien

    Pathways of wind-power input into the ocean general circulation are analyzed using Ekman theory. Direct rates of wind work can be calculated through the wind stress acting on the surface geostrophic flow. However, because ...

  15. Development and testing of improved statistical wind power forecasting methods.

    SciTech Connect (OSTI)

    Mendes, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.; Ferreira, C.; Gama, J.; Botterud, A.; Zhou, Z.; Wang, J. (Decision and Information Sciences); (INESC Porto)

    2011-12-06T23:59:59.000Z

    Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios (with spatial and/or temporal dependence). Statistical approaches to uncertainty forecasting basically consist of estimating the uncertainty based on observed forecasting errors. Quantile regression (QR) is currently a commonly used approach in uncertainty forecasting. In Chapter 3, we propose new statistical approaches to the uncertainty estimation problem by employing kernel density forecast (KDF) methods. We use two estimators in both offline and time-adaptive modes, namely, the Nadaraya-Watson (NW) and Quantilecopula (QC) estimators. We conduct detailed tests of the new approaches using QR as a benchmark. One of the major issues in wind power generation are sudden and large changes of wind power output over a short period of time, namely ramping events. In Chapter 4, we perform a comparative study of existing definitions and methodologies for ramp forecasting. We also introduce a new probabilistic method for ramp event detection. The method starts with a stochastic algorithm that generates wind power scenarios, which are passed through a high-pass filter for ramp detection and estimation of the likelihood of ramp events to happen. The report is organized as follows: Chapter 2 presents the results of the application of ITL training criteria to deterministic WPF; Chapter 3 reports the study on probabilistic WPF, including new contributions to wind power uncertainty forecasting; Chapter 4 presents a new method to predict and visualize ramp events, comparing it with state-of-the-art methodologies; Chapter 5 briefly summarizes the main findings and contributions of this report.

  16. A NOVEL METHODOLOGY FOR COMPARISON OF DIFFERENT WIND POWER RAMP CHARACTERIZATION APPROACHES

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A NOVEL METHODOLOGY FOR COMPARISON OF DIFFERENT WIND POWER RAMP CHARACTERIZATION APPROACHES Arthur.bossavy@mines-paristech.fr Telephone : +33.4.93.95.74.80, Fax : +33.4.93.95.75.35 ABSTRACT Wind power forecasting is recognized as a means to facilitate large scale wind power integration into power systems. Recently, focus has been

  17. Evaluation of Advanced Wind Power Forecasting Models Results of the Anemos Project

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Evaluation of Advanced Wind Power Forecasting Models ­ Results of the Anemos Project I. Martí1.kariniotakis@ensmp.fr Abstract An outstanding question posed today by end-users like power system operators, wind power producers or traders is what performance can be expected by state-of-the-art wind power prediction models. This paper

  18. Stochastic Modeling of Multi-Area Wind Power Production Anthony Papavasiliou

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Stochastic Modeling of Multi-Area Wind Power Production Anthony Papavasiliou CORE, UCL anthony of wind power production on power system operations over an entire year, it is necessary to account for the non-stationary (seasonal and diurnal) patterns of wind power production. This paper presents a multi

  19. PEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    balancing supply and demand for active power, we also need to compensate reactive power for each wind DGPEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach Chenye Wu, in particular wind power, in form of distributed generation (DG) units. However, one important challenge

  20. Wind Power Integration via Aggregator-Consumer Coordination: A Game Theoretic Approach

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    the balance between load and generation in the power grid at all times [2]. Moreover, wind generation is nonWind Power Integration via Aggregator-Consumer Coordination: A Game Theoretic Approach Chenye Wu@ie.cuhk.edu.hk Abstract--Due to the stochastic nature of wind power, its large-scale integration into the power grid

  1. PEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach

    E-Print Network [OSTI]

    Huang, Jianwei

    balancing supply and demand for active power, we also need to compensate reactive power for each wind DG1 PEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach Chenye Wu, in particular wind power, in form of distributed generation (DG) units. However, one important challenge

  2. Importance of the Equlibrium Node in Preventing the Voltage Collapse Occurs in the Wind Power System

    E-Print Network [OSTI]

    Lavaei, Javad

    Importance of the Equlibrium Node in Preventing the Voltage Collapse Occurs in the Wind Power collapse will occurs in a wind power system is discussed next. The method of power flow calculation is the specific analysis of a given simplified wind power system. Keywords--voltage collapse; Newton

  3. LQ Optimal Control of Wind Turbines in Hybrid Power Systems N.A. Cutululis1

    E-Print Network [OSTI]

    LQ Optimal Control of Wind Turbines in Hybrid Power Systems N.A. Cutululis1 , H. Bindner1 , I power systems represent a viable solution for rural electrification. One of the most important aspects taken into account for the design of a wind ­ diesel power system is the wind power penetration, which

  4. SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS

    E-Print Network [OSTI]

    Heinemann, Detlev

    SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS Hans the state of the art of power predictios for wind and solar power plants.with a time horizon of several market there is a need for a forecast of the power production of wind and solar generators with time

  5. innovati nNREL Confirms Large Potential for Grid Integration of Wind, Solar Power

    E-Print Network [OSTI]

    innovati nNREL Confirms Large Potential for Grid Integration of Wind, Solar Power To fully harvest a database of potential wind power sites and detailed, time-dependent estimates of the power that would the nation's bountiful wind and solar resources, it is critical to know how much electrical power from

  6. The Impact of Wind Power Projects on Residential Property Values in the United States: A Multi-Site Hedonic Analysis

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    Offshore Wind Power: Underlying Factors. Energy Policy. 35(Wind Development on Local Property Values. Renewable Energy Policy

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

    SciTech Connect (OSTI)

    Baker, Robert W.; Hewson, E. Wendell

    1980-10-01T23:59:59.000Z

    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.

  8. This introduction to wind power technology is meant to help communities begin considering or

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    call both liquids and gases "fluids" ­ i.e. things that flow). A wind turbine's blades use aerodynamic of a typical wind turbine are: - Rotor: a wind turbine's blades and the hub to which they attach form the rotor or planning wind power. It focuses on commercial and medium-scale wind turbine technology available

  9. IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 26, NO. 4, NOVEMBER 2011 2197 Reserve Requirements for Wind Power Integration: A

    E-Print Network [OSTI]

    Oren, Shmuel S.

    for Wind Power Integration: A Scenario-Based Stochastic Programming Framework Anthony Papavasiliou, Student-stage stochastic programming model for committing reserves in systems with large amounts of wind power. We describe wind power generation in terms of a representative set of appropriately weighted scenarios, and we

  10. Wind Power Project Repowering: History, Economics, and Demand (Presentation)

    SciTech Connect (OSTI)

    Lantz, E.

    2015-01-01T23:59:59.000Z

    This presentation summarizes a related NREL technical report and seeks to capture the current status of wind power project repowering in the U.S. and globally, analyze the economic and financial decision drivers that surround repowering, and to quantify the level and timing of demand for new turbine equipment to supply the repowering market.

  11. Bottom Drag, eddy diffusivity, wind work and the power integrals

    E-Print Network [OSTI]

    Young, William R.

    Bottom Drag, eddy diffusivity, wind work and the power integrals Bill Young, Andrew Thompson field i.e., the meridional heat flux is pro Moreover, the mechanical energy balance in a statistical Moreover, the mechanical energy balance in a statistically st Appendix A) is U-2 x = | - 2 |2 + hyp

  12. Comparison of Feed in Tariff, Quota and Auction Mechanisms to Support Wind Power Development

    E-Print Network [OSTI]

    Butler, Lucy; Neuhoff, Karsten

    2006-03-14T23:59:59.000Z

    A comparison of policy instruments employed to support onshore wind projects suggests that in terms of capacity installed, policies adopted in Germany have been more effective than those adopted in the UK. Price comparisons have frequently...

  13. Temporal structure of aggregate power fluctuations in large-eddy simulations of extended wind-farms

    E-Print Network [OSTI]

    Stevens, Richard J A M

    2014-01-01T23:59:59.000Z

    Fluctuations represent a major challenge for the incorporation of electric power from large wind-farms into power grids. Wind farm power output fluctuates strongly in time, over various time scales. Understanding these fluctuations, especially their spatio-temporal characteristics, is particularly important for the design of backup power systems that must be readily available in conjunction with wind-farms. In this work we analyze the power fluctuations associated with the wind-input variability at scales between minutes to several hours, using large eddy simulations (LES) of extended wind-parks, interacting with the atmospheric boundary layer. LES studies enable careful control of parameters and availability of wind-velocities simultaneously across the entire wind-farm. The present study focuses on neutral atmospheric conditions and flat terrain, using actuator-disk representations of the individual wind-turbines. We consider power from various aggregates of wind-turbines such as the total average power sign...

  14. Reactive power control of grid-connected wind farm based on adaptive dynamic programming

    E-Print Network [OSTI]

    He, Haibo

    Reactive power control of grid-connected wind farm based on adaptive dynamic programming Yufei Tang Wind farm Power system Adaptive control a b s t r a c t Optimal control of large-scale wind farm has of wind farm with doubly fed induction generators (DFIG). Specifically, we investigate the on

  15. Nonlinear State Space Model of a Hydraulic Wind Power Transfer Masoud Vaezi1

    E-Print Network [OSTI]

    Zhou, Yaoqi

    state space representation of a hydraulic wind energy transfer for a single wind turbine systemNonlinear State Space Model of a Hydraulic Wind Power Transfer Masoud Vaezi1 , Majid Deldar1 1, IUPUI. Gearless hydraulic wind power systems are considered as nonlinear models because of some discrete

  16. Offshore Wind Power: Science, engineering, and policy MAST 628-010, Fall 2008

    E-Print Network [OSTI]

    Firestone, Jeremy

    Offshore Wind Power: Science, engineering, and policy MAST 628-010, Fall 2008 Revised 10 October@udel.edu Class web site with lecture notes: www.udel.edu/sakai UD offshore wind research: http, plan, regulate, and develop offshore wind resources for large-scale power production. Offshore wind

  17. The Impact of Wind Power Projects on Residential Property Values in the United States: A Multi-Site Hedonic Analysis

    SciTech Connect (OSTI)

    Hoen, Ben; Wiser, Ryan; Cappers, Peter; Thayer, Mark; Sethi, Gautam

    2009-12-02T23:59:59.000Z

    With wind energy expanding rapidly in the U.S. and abroad, and with an increasing number of communities considering wind power development nearby, there is an urgent need to empirically investigate common community concerns about wind project development. The concern that property values will be adversely affected by wind energy facilities is commonly put forth by stakeholders. Although this concern is not unreasonable, given property value impacts that have been found near high voltage transmission lines and other electric generation facilities, the impacts of wind energy facilities on residential property values had not previously been investigated thoroughly. The present research collected data on almost 7,500 sales of singlefamily homes situated within 10 miles of 24 existing wind facilities in nine different U.S. states. The conclusions of the study are drawn from eight different hedonic pricing models, as well as both repeat sales and sales volume models. The various analyses are strongly consistent in that none of the models uncovers conclusive evidence of the existence of any widespread property value impacts that might be present in communities surrounding wind energy facilities. Specifically, neither the view of the wind facilities nor the distance of the home to those facilities is found to have any consistent, measurable, and statistically significant effect on home sales prices. Although the analysis cannot dismiss the possibility that individual homes or small numbers of homes have been or could be negatively impacted, it finds that if these impacts do exist, they are either too small and/or too infrequent to result in any widespread, statistically observable impact.

  18. General Comparison of Power Loss in Single-Layer and Multi-Layer Windings

    E-Print Network [OSTI]

    General Comparison of Power Loss in Single-Layer and Multi-Layer Windings M. E. Dale C. R. Sullivan the IEEE. #12;General Comparison of Power Loss in Single-Layer and Multi-Layer Windings Magdalena E. Dale

  19. Balancing act - BPA grid responds to huge influx of wind power...

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

    territory A large fraction of the wind power in the Northwest is locating in the heart of BPA's transmission grid. Wind power in BPA's balancing area has grown from 25 MW 10...

  20. Energy Department Awards $4.5 Million for Innovative Wind Power...

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

    Energy Department Awards 4.5 Million for Innovative Wind Power R&D Projects Energy Department Awards 4.5 Million for Innovative Wind Power R&D Projects September 5, 2014 -...