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Sample records for wind power price

  1. Wind Power Price Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01

    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

  2. Wind Power Price Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01

    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,

  3. Wind Power Price Trends in the United States

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2009-07-15

    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.

  4. WIND ENERGY AND NEGATIVE PRICING

    E-Print Network [OSTI]

    McCalley, James D.

    at negative prices #12;Wind power and negative prices · Wind power production is related to electricity power integration · Negative prices are "market distortions" that need to be addressed · "PTC aggravatesWIND ENERGY AND NEGATIVE PRICING Is Production Tax Credit to Blame? Yu Wang Iowa State University

  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

    2009-01-01

    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,

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01

    Wind Power in an Era of Low Natural Gas Prices Mark Bolinger Lawrence Berkeley National Laboratory Environmental Energy Technologies

  7. Wind Power

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

    Wind Power Bioenergy Power Systems Wind Power Wind Power Main Page Outreach Programs Image Gallery FAQs Links Software Hydro Power INL Home Wind Power Introduction The Wind Power...

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2002-05-31

    Advocates of renewable energy have long argued that wind power and other renewable technologies can mitigate fuel price risk within a resource portfolio. Such arguments--made with renewed vigor in the wake of unprecedented natural gas price volatility during the winter of 2000/2001--have mostly been qualitative in nature, however, with few attempts to actually quantify the price stability benefit that wind and other renewables provide. This paper attempts to quantify this benefit by equating it with the cost of achieving price stability through other means, particularly gas-based financial derivatives (futures and swaps). We find that over the past two years, natural gas consumers have had to pay a premium of roughly 0.50 cents/kWh over expected spot prices to lock in natural gas prices for the next 10 years. This incremental cost is potentially large enough to tip the scales away from new investments in natural gasfired generation and in favor of investments in wind power and other renewable technologies.

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

    SciTech Connect (OSTI)

    Bolinger, Mark

    2013-03-01

    This report investigates the degree to which wind power can still serve as a cost-effective hedge against rising natural gas prices, given the significant reduction in gas prices in recent years, coupled with expectations that prices will remain low for many years to come.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    and Ryan Wiser. 2009. “Wind Power Price Trends in the UnitedCarbon Trust. 2008. Offshore wind power: big challenge, bigAndrew. 2008. “ Trends in Wind Power Prices, B.O.P. , and

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

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

    2014 Wind Technologies Market Report Finds Wind Power at Record Low Prices EERE 2014 Wind Technologies Market Report Finds Wind Power at Record Low Prices August 10, 2015 - 11:00am...

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

    SciTech Connect (OSTI)

    Bolinger, Mark A; Wiser, Ryan

    2008-10-30

    The amount of wind power capacity being installed globally is surging, with the United States the world leader in terms of annual market share for three years running (2005-2007). The rapidly growing market for wind has been a double-edged sword, however, as the resulting supply-demand imbalance in wind turbines, along with the rising cost of materials and weakness in the U.S. dollar, has put upward pressure on wind turbine costs, and ultimately, wind power prices. Two mitigating factors--reductions in the cost of equity provided to wind projects and improvements in project-level capacity factors--have helped to relieve some of the upward pressure on wind power prices over the last few years. Because neither of these two factors can be relied upon to further cushion the blow going forward, policymakers should recognize that continued financial support may be necessary to sustain the wind sector at its current pace of development, at least in the near term. Though this article emphasizes developments in the U.S. market for wind power, those trends are similar to, and hold implications for, the worldwide wind power market.

  13. 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

    2009-01-01

    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

  14. 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

    2002-01-01

    power to account for the cost of firming intermittent resources), to date the fuel price risk mitigation benefits inherent in renewable

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

    E-Print Network [OSTI]

    2008-01-01

    wind project costs, wind turbine transaction prices, projectincreases in the cost of wind turbines. Berkeley Lab hasrising prices wind turbine costs, and therefore wind power

  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

    2009-01-01

    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,

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    and Ryan Wiser. 2009. “Wind Power Price Trends in the UnitedCarbon Trust. 2008. Offshore wind power: big challenge, bigAndrew. 2008. “Trends in Wind Power Prices, B.O.P. , and

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01

    of Energy from U.S. Wind Power Projects. Berkeley, Calif. :J. and K. Porter. 2011. Wind Power and Electricity Markets.different purchasers of wind power in the U.S. , long- term

  19. 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

    2002-01-01

    AGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger, RyanAGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger, Ryanwake of unprecedented natural gas price volatility during

  20. Wind Vision: A New Era for Wind Power

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

    a period of volatility in natural gas fuel prices launched the modern era of U.S. wind power. Electric system operators and utilities now routinely consider wind power as part...

  1. 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

    2002-01-01

    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,

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01

    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

  3. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

    2008-01-01

    on U.S. Wind Power Installation, Cost, and Performanceand Capital Costs Drive Wind Power Prices. . . . . 14in installed wind project costs, wind turbine transaction

  5. Wind Power Forecasting Data

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

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

  6. Wind Power Link

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

    Wind Power Links These other web sites may provide additional information of interest: American Wind Energy Association Idaho Department of Energy Wind Power Information Utah...

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubicthe FOIA?ResourceMeasurement Buoy AdvancesWind

  8. Wind Power Outreach Campaign

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

    Wind Power Wind Power Main Page Outreach Programs Image Gallery FAQs Links Software Hydro Power INL Home Outreach Programs A team of educators and scientists from the Idaho...

  9. 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

    2002-01-01

    estimates of betas for crude oil in the range of +0.5 to +natural gas and crude oil prices are moderately correlated,of a positive beta for oil might also apply to natural gas.

  10. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    biores/108435/. ?China‘s power generation capacity leapsfor Renewable Energy Power Generation Prices and Expenses? [htm. ?Analysis of UK Wind Power Generation: November 2008 to

  11. Wind Power Software

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

    Wind Analysis ms - 3.0MB Excel Excel Wind Analysis Presentation - 8.2MB PowerPoint Excel Wind Analysis With Power Curves Included - 3.7MB Excel WindR.exe - 44kB Weibull Excel Wind...

  12. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2006-05-01

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

  13. Residential Wind Power

    E-Print Network [OSTI]

    Willis, Gary

    2011-12-16

    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...

  14. 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

    2009-01-01

    upward pressure on wind turbine costs, and ultimately, windProject Costs From Current Wind Turbine Orders Higherwhen the cost of manufacturing wind turbines has increased

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    impacts on wind turbine and wind energy pricing. ReferencesProduction from a V112 Turbine Wind Plant. Prepared forBloomberg NEF”). 2011c. Wind Turbine Price Index, Issue V.

  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

    2009-01-01

    explain historical and forecast future wind cost and pricinglong-term forecast of future wind costs or competitiveness,example. Similarly, forecasts of deep wind cost reductions

  17. Wind Power FAQ

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

    Power Frequently Asked Questions QUESTION: Why was the time stamp on my first wind explorer data chip incorrect? ANSWER: You need to program the proper date and time in the wind...

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01

    Downward Pressure on Natural Gas Prices? ” Energy Policy.The Role of Forward Natural Gas Prices” Energy Policy. Volwithin an era of low natural gas prices, and even if the PTC

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01

    gas prices are projected to be high enough such that LNGnatural gas (“LNG”). At the same time, with the price of

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

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    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

  1. Wind Power Career Chat

    SciTech Connect (OSTI)

    L. Flowers

    2011-01-01

    This document will teach students about careers in the wind energy industry. Wind energy, both land-based and offshore, is expected to provide thousands of new jobs in the next several decades. Wind energy companies are growing rapidly to meet America's demand for clean, renewable, and domestic energy. These companies need skilled professionals. Wind power careers will require educated people from a variety of areas. Trained and qualified workers manufacture, construct, operate, and manage wind energy facilities. The nation will also need skilled researchers, scientists, and engineers to plan and develop the next generation of wind energy technologies.

  2. 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

    2009-01-01

    2008. “International Wind Energy Development: World Market422-432. U.S. Department of Energy. 2008. 20% Wind Energy by2030: Increasing Wind Energy’s Contribution to U.S.

  3. Wind powering America: Vermont

    SciTech Connect (OSTI)

    NREL

    2000-04-11

    Wind resources in the state of Vermont show great potential for wind energy development according to the wind resource assessment conducted by the state, its utilities, and NREL. This fact sheet provides a brief description of the resource assessment and a link to the resulting wind resource map produced by NREL. The fact sheet also provides a description of the state's net metering program, its financial incentives, and green power programs as well as a list of contacts for more information.

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

    E-Print Network [OSTI]

    2008-01-01

    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

  5. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01

    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:

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01

    are more closely linked to oil prices) than it is in thepropane, and butane) or shale oil. To summarize, with gas

  8. 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

    2009-01-01

    materials and energy used to manufacture wind turbines (IHSwind turbines has increased due to higher commodity (materials and energy)

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

    SciTech Connect (OSTI)

    Not Available

    2010-05-01

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

  10. 2015 Iowa Wind Power Conference and Iowa Wind Energy Association...

    Office of Environmental Management (EM)

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

  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

    2009-01-01

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

  12. 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

    2009-01-01

    Blair Swezey. 2007. Green Power Marketing in the Unitedcustomer demand for “green” power (Bird et al. , 2007),

  13. 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

    2009-01-01

    Change Policy. ” Energy Policy, 35: 4555- 4573. Chupka, MarcCurves for Wind Farms. ” Energy Policy, 33: 133-150. Lusey,Mitigation Policy. ” Energy Policy, 36: 673-685. Kobos, P. ,

  14. 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

  15. 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

    the point of view of a producer participating in the day-ahead electricity market, lack of predictability price settlement mechanism will remain the same. Keywords: Wind power resource assessment, Wind power GW by 2020 according to EWEA projections (see [1]). Such large-scale integration of wind energy

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

    E-Print Network [OSTI]

    2008-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    Bloomberg NEF”). 2011c. Wind Turbine Price Index, Issue V.Hand, A. Laxson. 2006. Wind Turbine Design Cost and Scalingof a Multi-MegaWatt Wind Turbine. ” Renewable Energy, vol.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    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

  19. Gansu Xinhui Wind Power | Open Energy Information

    Open Energy Info (EERE)

    Xinhui Wind Power Jump to: navigation, search Name: Gansu Xinhui Wind Power Place: China Sector: Wind energy Product: China-based joint venture engaged in developing wind projects....

  20. 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

    2009-01-01

    IHS CERA Power Capital Costs Index. ” May 27, 2008 presstheir Power Capital Costs Index, which tracks the costs ofthe combined index showed a 131% increase in the cost of

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

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

    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 2008, after...

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

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

    Us Offices May 3, 2010 EA-1726: Final Environmental Assessment Loan Guarantee to Kahuku Wind Power, LLC for Construction of the Kahuku Wind Power Facility in Kahuku, O'ahu,...

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    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

  4. 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...

  5. Managing Wind Power Forecast Uncertainty in Electric Grids Submitted in partial fulfillment of the requirements for

    E-Print Network [OSTI]

    Instituto de Sistemas e Robotica

    Managing Wind Power Forecast Uncertainty in Electric Grids Submitted in partial fulfillment;iii Abstract Electricity generated from wind power is both variable and uncertain. Wind forecasts prices. Wind power forecast errors for aggregated wind farms are often modeled with Gaussian

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    Department of Energy’s Wind & Water Power Program, withinDepartment of Energy’s Wind & Water Power Program, within

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

    SciTech Connect (OSTI)

    Not Available

    2012-02-01

    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.

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

    SciTech Connect (OSTI)

    Not Available

    2012-04-01

    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.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    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.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

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

  11. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    and K. Porter. 2011. Wind Power and Electricity Markets.The Effects of Integrating Wind Power on Transmission System41 6. Wind Power Price

  12. Enabling Wind Power Nationwide

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPL EnergyPlus,DepartmentFederal RegisterEditableWind Power Nationwide May

  13. Wind Power Overview Windpoweristhefastestgrowingformofrenewableenergy,withpoten-

    E-Print Network [OSTI]

    Wind Power Overview · Windpoweristhefastestgrowingformofrenewableenergy Offshore Wind Power for Florida? · AveragehouseholdelectricitycostsforFloridaare expectedtoincreaseby4Pensacola. · SiemensWindPowerNorthAmerica isbasedinOrlando. · Sugarland Wind is planning onshorewindfarmadjacentto

  14. PEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    a multiple timescale dispatch for smart grid with integrated wind power. Wu et al. investigated how to utilize wind power integration into the power grid when aggregators use a linear pricing scheme in [4. Keywords--Distributed generation, wind power integration, plug-in electric vehicles, reactive power

  15. 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.

    .e. transmission congestion. Index Terms--wind power, nuclear power, hydrogen storage, Hydrogen Economy, power power plant production (MW) NP : nuclear power plant production (MW) CP : electrolyzer consumption (MW with the market (kg) WIND ipwP ,, : wind-nuclear power consumed for wind scenario w and price scenario p in hour i

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    impacts on wind turbine and wind energy pricing. ReferencesProduction from a V112 Turbine Wind Plant. Prepared forBloomberg NEF”). 2011c. Wind Turbine Price Index, Issue V.

  17. Wind Power Integration via Aggregator-Consumer Coordination: A Game Theoretic Approach

    E-Print Network [OSTI]

    Huang, Jianwei

    Wind 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-side resources via pricing in order to tackle the intermittency and fluctuations in wind power generation

  18. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01

    wind power project costs, wind turbine transaction prices,increases in the cost of wind turbines over the last severaland components and wind turbine costs. Excluded from all

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    Carbon Trust. 2008. Offshore wind power: big challenge, bigGreat Expectations: The cost of offshore wind in UK waters –Bruce Valpy. 2011. Offshore Wind: Forecasts of future costs

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    Great Expectations: The cost of offshore wind in UK waters –Bruce Valpy. 2011. Offshore Wind: Forecasts of future costsCarbon Trust. 2008. Offshore wind power: big challenge, big

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

    Office of Environmental Management (EM)

    Powering America's Wind for Schools Team Honored with Wirth Chair Award Wind Powering America's Wind for Schools Team Honored with Wirth Chair Award May 1, 2012 - 2:46pm Addthis...

  2. Wind power outlook 2006

    SciTech Connect (OSTI)

    anon.

    2006-04-15

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

  3. PowerJet Wind Turbine Project

    SciTech Connect (OSTI)

    Bartlett, Raymond J

    2008-11-30

    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

  4. TRANSMISSION SYSTEM ADEQUACY EVALUATION CONSIDERING WIND POWER

    E-Print Network [OSTI]

    Saskatchewan, University of

    TRANSMISSION SYSTEM ADEQUACY EVALUATION CONSIDERING WIND POWER Rajesh Karki Jaimin Patel Power to significantly increase renewable power penetration in electrical power systems. Wind power is the most important systems and large grid connected systems. Power generated by wind depends on the availability of the wind

  5. 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

  6. 2008 Wind Energy Projects, Wind Powering America (Poster)

    SciTech Connect (OSTI)

    Not Available

    2009-01-01

    The Wind Powering America program produces a poster at the end of every calendar year that depicts new U.S. wind energy projects. The 2008 poster includes the following projects: Stetson Wind Farm in Maine; Dutch Hill Wind Farm in New York; Grand Ridge Wind Energy Center in Illinois; Hooper Bay, Alaska; Forestburg, South Dakota; Elbow Creek Wind Project in Texas; Glacier Wind Farm in Montana; Wray, Colorado; Smoky Hills Wind Farm in Kansas; Forbes Park Wind Project in Massachusetts; Spanish Fork, Utah; Goodland Wind Farm in Indiana; and the Tatanka Wind Energy Project on the border of North Dakota and South Dakota.

  7. 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 (lessOpportunities For Wind In The APX Green Power MarketTM Janis C. Pepper Automated Power Exchange of Contents ABSTRACT INTRODUCTION HOW THE APX GREEN POWER MARKET OPERATES PRICES IN THE GREEN POWER MARKET

  8. Wyoming Wind Power Project (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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largest single goldWind Power > Generation Hydro

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

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01

    Wind Energy: Modeling the Competition Between Gas Turbineson Global Wind Turbine Markets and Strategies 2008- Energyand energy input prices, and an overall demand for wind turbines

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2011-10-26

    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.

  11. Wind Speed Forecasting for Power System Operation 

    E-Print Network [OSTI]

    Zhu, Xinxin

    2013-07-22

    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...

  12. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgram Guidelines ThisHENPDepartment'sPrestonPreviousMembers | HomeWind

  13. 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

  14. Long-Term Wind Power Variability

    SciTech Connect (OSTI)

    Wan, Y. H.

    2012-01-01

    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.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

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

  16. 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.

    2011-11-29

    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.

  17. Wind Powering America FY09 Activities Summary

    SciTech Connect (OSTI)

    none,

    2010-03-22

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

  18. Analysis of Wind Power Generation of Texas 

    E-Print Network [OSTI]

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

    2007-01-01

    ? Not appropriate for predicting hourly power using power curve ? On-site wind: ? Measured power vs. on-site wind following well the power curve prediction ? No curtailment at this site ? Green curves showing a band of 5 MW from the power curve WHY NOT Use... APPLICATION ? Indian Mesa Wind Farm Measured MW Plotted Against Hourly NOAA Wind Speed? ANN significantly improves the prediction of on-site wind speed compared to NOAA. ? Green curves showing a band of 5 MW from the power curve Hourly Wind Power...

  19. Wind power manufacturing and supply chain summit USA.

    SciTech Connect (OSTI)

    Hill, Roger Ray

    2010-12-01

    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.

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

    SciTech Connect (OSTI)

    David C. Morris; Dr. Will D. Swearingen

    2007-10-08

    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.

  1. 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

  2. Low-Maintenance Wind Power System

    E-Print Network [OSTI]

    Rasson, Joseph E

    2010-01-01

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

  3. 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

    2011-06-23

    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.

  4. Wind Powering America Initiative (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-01-01

    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.

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01

    Opinion about Large Offshore Wind Power: Underlying Factors.Delaware Opinion on Offshore Wind Power - Interim Report.

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

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01

    Opinion About Large Offshore Wind Power: Underlying Factors.Delaware Opinion on Offshore Wind Power - Interim Report.

  7. Factors driving wind power development in the United States

    E-Print Network [OSTI]

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

    2003-01-01

    s Largest Purchase of Wind Power,” September 17, 2001.FACTORS DRIVING WIND POWER DEVELOPMENT IN THE UNITED STATESthe United States third in wind power capacity globally,

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

    Open Energy Info (EERE)

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

  9. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    resources fully occupied and offshore wind power resourcesin this paper, not offshore wind power—a very small yetthe press declaring offshore wind power to be cheaper than

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

    SciTech Connect (OSTI)

    Not Available

    2010-02-01

    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.

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

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-08-01

    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.

  12. Success Stories (Postcard), Wind Powering America (WPA)

    SciTech Connect (OSTI)

    Not Available

    2012-02-01

    Wind Powering America shares best practices and lessons learned on the Wind Powering America website. This postcard is an outreach tool that provides a brief description of the success stories as well as the URL.

  13. Wind Power Forecasting

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubicthe FOIA?ResourceMeasurement BuoyForecasting Sign

  14. Active Power Controls from Wind Power: Bridging the Gaps | Department...

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

    This report evaluates how wind power can support power system reliability, and do so economically. The study includes a number of different power system simulations, control...

  15. Wind Powering America Program Overview (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-04-01

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

  16. Natural Gas Electric Power Price

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO),7F e28 3.24 3.23 3.22 3.19 3.03

  17. Global ocean wind power sensitivity to surface layer stability

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2009-01-01

    Can satellite sampling of offshore wind speeds realisticallydata to evaluate the offshore wind power resource of

  18. Wind Power Resource Assessment in Ohio and Puerto Rico

    E-Print Network [OSTI]

    Womeldorf, Carole

    occurring with wind power: specifically environmental concerns and benefits, the economics of small wind

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

    E-Print Network [OSTI]

    Hand, Maureen

    2008-01-01

    price is constant Shallow Offshore Wind Technology Cost WindOhio was modified and offshore wind development in Texas was

  20. Renewable Energy RFPs: Solicitation Response and Wind ContractPrices

    SciTech Connect (OSTI)

    Wiser, Ryan; Bolinger, Mark

    2005-04-18

    As input into renewable energy policy discussions in Illinois, we have been asked to provide information on the results of recent, competitive solicitations for renewable energy, with a focus on wind power. In particular, this memorandum includes two pieces of information: (1) Publicly available data on the strength of response to recent renewable energy solicitations; and (2) Wind power purchase costs as revealed through actual power purchase agreements with electric utilities.

  1. Wind Vision: A New Era for Wind Power

    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."...

  2. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    lagged the construction of new wind farms, leaving roughlythe construction and maintenance of the wind farm. Second,wind farms). Unlike the 1994 ?Opinion on Wind Power Construction

  3. 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

  4. 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........................................................................................ 13 Fuel Prices................................................................................................................................. 14 Carbon Dioxide Prices

  5. Engineering innovation to reduce wind power COE

    SciTech Connect (OSTI)

    Ammerman, Curtt Nelson

    2011-01-10

    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.

  6. Wind and Water Power Program - Wind Power Opens Door To Diverse Opportunities (Green Jobs)

    SciTech Connect (OSTI)

    None

    2010-04-01

    The strong projected growth of wind power will require a stream of trained and qualified workers to manufacture, construct, operate, and maintain the wind energy facilities.

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

  8. 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

    2003-05-15

    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.

  9. 20% Wind Energy by 2030 - Chapter 5: Wind Power Siting and Environment...

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

    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...

  10. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubicthe FOIA?ResourceMeasurement Buoy AdvancesWind

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

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01

    r r r r rated power of wind turbine generator rated speed ofWind Characteristics on Annual Power Estimates from Wind Turbine Generators,WIND ARRAYS With the introduction of large generators into power

  12. 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)

    2012-07-01

    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)

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    Carbon Trust. 2008. Offshore wind power: big challenge, bigBruce Valpy. 2011. Offshore Wind: Forecasts of future costsfinancial support for offshore wind. Report prepared for the

  14. Gone with the Wind - The Potential Tragedy of the Common Wind

    E-Print Network [OSTI]

    Lifshitz-Goldberg, Yaei

    2010-01-01

    in wind energy. 2 ' Wind power technology, increasinglyother energy production technologies: 43 the price for windsailing technologies carries on. 18 Wind energy was first

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

    E-Print Network [OSTI]

    Lacommare, Kristina S H

    2011-01-01

    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

  16. WIND AND WATER POWER TECHNOLOGIES OFFICE

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

    AND WATER POWER TECHNOLOGIES OFFICE August 20, 2014 2 2013 Wind Technologies Market Report Purpose, Scope, and Data: * Publicly available annual report summarizing key trends in...

  17. A survey on wind power ramp forecasting.

    SciTech Connect (OSTI)

    Ferreira, C.; Gama, J.; Matias, L.; Botterud, A.; Wang, J.

    2011-02-23

    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.

  18. Wind Farm Power System Model Development: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Butterfield, C. P.

    2004-07-01

    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.

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

    SciTech Connect (OSTI)

    Baring-Gould, I.; Newcomb, C.

    2012-06-01

    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.

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

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01

    About Large Offshore Wind Power: Underlying Factors. EnergyOpinion on Offshore Wind Power - Interim Report. Newark, DE:Sethi, G. , The Impact of Wind Power Projects on Residential

  1. 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

    2009-11-20

    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.

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

    E-Print Network [OSTI]

    Board August 14, 2012 (received for review May 31, 2012) Wind turbines convert kinetic to electrical linearly, but then converges to a saturation potential not identified previously from physical principles does not increase the generated power further. At the SWPP, winds still occur because individual

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

    SciTech Connect (OSTI)

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

    2010-11-01

    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.

  4. POWER '99 Conference 1 Stochastic Models of Electricity Spot Price

    E-Print Network [OSTI]

    California at Berkeley. University of

    risks in wholesale and retail markets. · Asset valuation, project selection and financing. ­ Divestiture markets. POWER '99 Conference 4 Application (1): Derivative Pricing Examples: Call Option & Spark Spread electricity spot price spot price Power Marketer Transmission cost? COB: PCOB max( , )S K ST PV loss T COB

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

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

    20% of all electricity for the nation by 2030. By December 2013, the U.S. wind industry totaled more than 60,000 MW of installed power capacity, over 20% of the 300,000 MW needed...

  6. Wind Vision: A New Era for Wind Power

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

    that is ready to add power to the grid to compensate for increased load or reduced generation from other units (such as wind or solar). 6 Appendix A | Glossary Term...

  7. 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 ...

  8. Wind power communication Design and implementation

    E-Print Network [OSTI]

    02:14 "Wind power communications ­ Verification report and recommendation". Denna rapport innehåller Gotland. Syftet är med denna rapport är beskriva de tekniska lösningar i form av modeller, system och in a separate Elforsk report, 02:14 "Wind power communications ­ Verification report and recommendation

  9. Wind power costs in Portugal Saleiro, Carla

    E-Print Network [OSTI]

    Wind power costs in Portugal Saleiro, Carla Department of Biological Engineering, University, following the European tendency. This analysis sets out to evaluate the total generating cost of wind power and CCGT in Portugal. A life cycle cost analysis was conducted, including investment costs, O&M costs, fuel

  10. Wind power development -Status and perspectives

    E-Print Network [OSTI]

    of long-term forecasts for the wind power technology in general shows a decrease in production costs of 2 5.1 US-DOE estimate of the development of wind power costs. 22 5.2 Technology based forecast 23 5 to the Macro Task E1 on pro- duction costs for fusion and alternative technologies, part of the pro- gramme

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

    Open Energy Info (EERE)

    Xi an Nordex 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...

  12. The carbon component of the UK power price

    SciTech Connect (OSTI)

    Kris Voorspools

    2006-08-01

    CO{sub 2} emissions trading is in full swing in Europe and is already having an impact on the price of power in the UK. If EU allowances (EUAs) trade at euro 20/t-CO{sub 2}, the EUA component in the power price is estimated to be slightly < euro 10/MW.h. In the case of UK power for delivery 1 year ahead, this is {approximately} 10% of the market price of power. The introduction of a carbon components into the UK power prices took place along before the 'official' start of ETS in 2005. Analysis of historical data of the price of power, gas, coal and EUAs shows that the first trace of a CO{sub 2} component in UK power dates back to August 2003, shortly after EUAs first started to trade. In April 2004, CO{sub 2} was fully integrated into the UK power price. 4 refs., 5 figs.

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

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01

    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

  14. Global ocean wind power sensitivity to surface layer stability

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2009-01-01

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

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

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01

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

  16. Value of Wind Power Forecasting

    SciTech Connect (OSTI)

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

    2011-04-01

    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.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    time series of fossil fuel prices come from the Energyprices. Though fossil fuel prices may have been somewhatfossil fuels analyzed are traded in a global market (although price

  18. 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.

    2014-01-01

    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.

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

    SciTech Connect (OSTI)

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

    2008-09-30

    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.

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

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01

    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

  1. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    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.

  2. Global ocean wind power sensitivity to surface layer stability

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2009-01-01

    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. ,

  3. A Comparative Analysis of Community Wind Power Development Models

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Wind, Tom; Juhl, Dan; Grace, Robert; West, Peter

    2005-01-01

    Whip Up Hopes for Wind Power Again. ” The Wall StreetProduction Tax Credit for Wind Power. LBNL-51465. Berkeley,This combination is making wind power an important new cash

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

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01

    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

  5. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    in this paper, not offshore wind power—a very small yetthe press declaring offshore wind power to be cheaper thanfully occupied and offshore wind power resources grabbed in

  6. Dynamic Models for Wind Turbines and Wind Power Plants

    SciTech Connect (OSTI)

    Singh, M.; Santoso, S.

    2011-10-01

    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.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    In comparison, the rise in coal prices has been slower andindustrial price. Finally, coal prices come from Table 4.1Fiberglass Energy Prices Diesel Coal Natural Gas Currency

  8. Aalborg Universitet Methodologies for Wind Turbine and STATCOM Integration in Wind Power Plant

    E-Print Network [OSTI]

    Bak, Claus Leth

    Aalborg Universitet Methodologies for Wind Turbine and STATCOM Integration in Wind Power Plant Integration in Wind Power Plant Models for Harmonic Resonances Assessment. In Proceedings of the 14th Wind Integration Workshop: International Workshop on Large-Scale Integration of Wind Power into Power Systems

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

    E-Print Network [OSTI]

    The Answer Is Blowing in the Wind: Analysis of Powering Internet Data Centers with Wind Energy Yan. As a result, many IDC operators have started using renewable energy, e.g., wind power, to power their data of real-world wind power traces from 69 wind farms. The idea is to leverage the front-end load dispatching

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2007-01-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    this period. Diesel fuel and natural gas prices experiencedmonthly price estimate for all types of highway diesel fuel.

  12. Commitment of Electric Power Generators under Stochastic Market Prices

    E-Print Network [OSTI]

    Mazumdar, Mainak

    that when an electric power producer has the option of trading electricity at market prices, an optimal unitCommitment of Electric Power Generators under Stochastic Market Prices Jorge Valenzuela 1 November 2001 1 Corresponding author. #12;1 Commitment of Electric Power Generators under Stochastic Market

  13. 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

  14. Analysis of Wind Power Ramping Behavior in ERCOT

    SciTech Connect (OSTI)

    Wan, Y. H.

    2011-03-01

    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.

  15. Environmental Impacts of Wind Power Development on the Population...

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

    Environmental Impacts of Wind Power Development on the Population Biology of Greater Prairie-Chickens Environmental Impacts of Wind Power Development on the Population Biology of...

  16. National Renewable Energy Laboratory Wind and Water Power Small...

    Office of Environmental Management (EM)

    National Renewable Energy Laboratory Wind and Water Power Small Business Voucher Open House National Renewable Energy Laboratory Wind and Water Power Small Business Voucher Open...

  17. Characterizing wind power resource reliability in southern Africa...

    Office of Scientific and Technical Information (OSTI)

    DOE PAGES Search Results Published Article: Characterizing wind power resource reliability in southern Africa Title: Characterizing wind power resource reliability in southern...

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

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

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

  19. 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.

  20. 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

  1. 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

  2. Wind Power Amercia Final Report

    SciTech Connect (OSTI)

    Brian Spangler, Kathi Montgomery and Paul Cartwright

    2012-01-30

    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.

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

    E-Print Network [OSTI]

    Sixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast Introduction................................................................................................................................. 3 Price Forecasts ............................................................................................................................ 5 U.S. Natural Gas Commodity Prices

  4. Power control of a wind farm with active stall wind turbines and AC grid connection

    E-Print Network [OSTI]

    Power control of a wind farm with active stall wind turbines and AC grid connection Anca D. Hansen1 on the wind farm level. The ability of active stall wind farms with AC grid connection to regulate the power, is therefore directed towards optimising the integration of large wind farms within the electrical power grid

  5. Making european-style community wind power development work in the United States

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2004-01-01

    Support for Community Wind Power Development. LBNL-54715.at 2003 Oklahoma Wind Power and Bioenergy Conference, JuneWind. 2001. Distributed Wind Power Assessment. Prepared for

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

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

    OFFSHORE WIND PROJECTS Fiscal Years 2006 - 2015 WIND AND WATER POWER TECHNOLOGIES OFFICE WIND AND WATER POWER TECHNOLOGIES OFFICE WIND AND WATER POWER TECHNOLOGIES OFFICE 1...

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

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

    OFFSHORE WIND PROJECTS Fiscal Years 2006 - 2014 WIND AND WATER POWER TECHNOLOGIES OFFICE WIND AND WATER POWER TECHNOLOGIES OFFICE WIND AND WATER POWER TECHNOLOGIES OFFICE 1...

  8. Wind Powering America FY06 Activities Summary

    SciTech Connect (OSTI)

    Not Available

    2007-02-01

    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.

  9. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdisto Electric Coop,ErosionNewCoalFarmlandExpress JumpWindWindWind Power

  10. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower VenturesInformation9) WindGridDeepiSolar and WindQueenWind Power

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    specific focus on the cost of wind turbines deployed onshoremovements inflating the cost of wind turbines imported intothe USD-denominated cost of wind turbines imported into the

  12. 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 ...

  13. 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

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    markets could aid in the design of appropriate price forecasting tools for such markets. Scenario1 Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets Qun Zhou, restructured wholesale power markets, scenario generation, ARMA model, moment-matching method I. INTRODUCTION

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    the raw materials and energy prices used in this report areof Economic Analysis. Energy Price Data Monthly time seriestherefore exposure to U.S. energy prices – over this period.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    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

  17. Hybrid Wind Power Balance Control Strategy using Thermal Power, Hydro Power and Flow Batteries

    E-Print Network [OSTI]

    MacDonald, Mark

    Hybrid Wind Power Balance Control Strategy using Thermal Power, Hydro Power and Flow Batteries the con- trolled use of hybrid flow battery, thermal and hydro power plant system, to support wind power on range of thermal and hydro power plant reaction times. This work suggests that power and energy

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

    SciTech Connect (OSTI)

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

    2011-10-01

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

  19. 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

  20. Forecasting Uncertainty Related to Ramps of Wind Power Production

    E-Print Network [OSTI]

    Boyer, Edmond

    Forecasting 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. This paper presents two methods focusing on forecasting large and sharp variations in power output of a wind

  1. Accuracy of near real time updates in wind power forecasting

    E-Print Network [OSTI]

    Heinemann, Detlev

    Accuracy of near real time updates in wind power forecasting with regard to different weather October 2007 #12;EMS/ECAM 2007 ­ Nadja Saleck Outline · Study site · Wind power forecasting - method #12;EMS/ECAM 2007 ­ Nadja Saleck Wind power forecast data observed wind power input (2004 ­ 2006

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    include some offshore wind turbines. That said, the factoffshore wind still accounts for a relatively small portion of Vestas’ turbine

  3. Analysis of wind power ancillary services characteristics with German 250-MW wind data

    SciTech Connect (OSTI)

    Ernst, B.

    1999-12-09

    With the increasing availability of wind power worldwide, power fluctuations have become a concern for some utilities. Under electric industry restructuring in the US, the impact of these fluctuations will be evaluated by examining provisions and costs of ancillary services for wind power. This paper analyzes wind power in the context of ancillary services, using data from a German 250 Megawatt Wind project.

  4. New England Wind Forum: A Wind Powering America Project Volume 1, Issue 3 -- October 2007

    SciTech Connect (OSTI)

    2009-02-26

    Newsletter featuring the latest developments throughout New England in wind power policy, project development, and markets.

  5. New England Wind Forum: A Wind Powering America Project Volume 1, Issue 4 -- May 2008

    SciTech Connect (OSTI)

    2009-02-26

    Newsletter featuring the latest developments throughout New England in wind power policy, project development, and markets.

  6. 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

  7. 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 be introduced. Earlier solutions were based on hydraulic power transmission for a single turbine as a promising investment. Hydraulic techniques have not been widely used probably because of the following reasons: 1

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

    SciTech Connect (OSTI)

    Ela, E.

    2011-05-01

    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.

  9. Pollution and the price of power

    SciTech Connect (OSTI)

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

    2008-07-01

    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.

  10. 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 amount of power in the wind is very dependent on the speed of the wind. Because the power in the wind is proportional to the cube of the wind speed, small differences in the wind speed make a big. This gives rise to the primary reason for wind re- source assessment. In order to more accurately predict

  11. Wind Powering America FY07 Activities Summary

    SciTech Connect (OSTI)

    Not Available

    2008-02-01

    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.

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

    SciTech Connect (OSTI)

    Not Available

    2010-03-01

    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

    2009-02-01

    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. COMMUNICATION VULNERABILITIES AND MITIGATIONS IN WIND POWER SCADA SYSTEMS

    E-Print Network [OSTI]

    1 COMMUNICATION VULNERABILITIES AND MITIGATIONS IN WIND POWER SCADA SYSTEMS American Wind Energy/ Abstract This paper focuses on securing wind power Supervisory Control And Data Acquisition (SCADA) systems security vulnerabilities. To address these new vulnerabilities in wind power SCADA systems, we apply

  15. 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 Paulina Jaramillo Doctor Paul Fischbeck 2012 #12;ii #12;iii Managing Wind Power Forecast Uncertainty generated from wind power is both variable and uncertain. Wind forecasts provide valuable information

  16. 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

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

    E-Print Network [OSTI]

    Lacommare, Kristina S H

    2011-01-01

    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-

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

    E-Print Network [OSTI]

    Lacommare, Kristina S H

    2011-01-01

    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

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    the performance of these markets. In this paper, different AC and DC optimal power flow (OPF) models are presented Operator (MISO). Keywords: Locational marginal pricing, wholesale power market, AC optimal power flow, DC optimal power flow, U.S. Midwest Independent System Operator (MISO). #12;3 1 INTRODUCTION In an April 2003

  20. PBS: Wind Power for Educators

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

    Power More on This Lesson: Select One Lesson Plan This lesson is designed for physical science, earth science, or environmental science classrooms, grades 9-12. Middle school...

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    installed wind project costs in the U.S. fell by 14.4% onperiod, reported wind project costs in the U.S. actuallyto the average cost of wind turbines in the US through 2008.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    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,

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

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

    Summary slides overviewing wind power markets, growth, applications, and market features 20percentsummarychap6.pdf More Documents & Publications 20% Wind Energy by 2030 - Chapter...

  4. Wind Program: A New Vision for U.S. Wind Power

    SciTech Connect (OSTI)

    2013-05-07

    A link to the New Vision for U.S. Wind Power Web page, which enables stakeholders to provide input on the direction of the wind industry.

  5. 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

  6. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdisto Electric Coop,ErosionNewCoalFarmlandExpress JumpWindWind Power

  7. Wind Power Plant Voltage Stability Evaluation: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Zhang, Y. C.

    2014-09-01

    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.

  8. Study Shows Active Power Controls from Wind May Increase Revenues...

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

    and the University of Colorado (CU). Researchers examined how the contribution of wind power providing active power controls (APC) could benefit the total power system economics,...

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

    Open Energy Info (EERE)

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

  10. 2010 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Wiser, Ryan; Bolinger, Mark

    2011-06-01

    This report provides a comprehensive overview of trends in the U.S. wind power market in 2010. The report analyzes trends in wind power capacity, industry, manufacturing, turbines, installed project costs, project performance, and wind power prices. It also describes trends among wind power developers, project owners, and power purchasers, and discusses financing issues.

  11. 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 affect the power output and structural responses of a wind turbine. Wind field characteristics are conventionally described by time averaged features, such as mean wind speed, turbulence intensity and power

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

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01

    Annual Report on U.S. Wind Power Installation, Cost, andand costs for rapid wind energy deployment in the US haveinstalled cost for wind projects in the US has increased

  13. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    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://

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

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01

    Electric Company, Wind Energy Mission Analysis, COO/2578-C.G. and W.R. Hargraves, Wind Energy Statistics for Largeng Power Supply from Wind Energy Converting Sys t ems, "

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

    SciTech Connect (OSTI)

    Not Available

    2009-04-01

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

  16. 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 model accounts for the inter-temporal and spatial dependencies of multi-area wind power production. Results are presented for a case study of the California power system. Keywords - Wind power generation

  17. Toward Controlled Wind Farm Output: Adjustable Power Filtering

    E-Print Network [OSTI]

    Maggiore, Manfredi

    1 Toward Controlled Wind Farm Output: Adjustable Power Filtering Barry G. Rawn, Student Member research into the limits on controllable power output from wind energy conversion systems. The viewpoint methodology that specifies the delivered power as a filtered version of available wind power. Simulation

  18. Wind Power Career Chat, Wind And Water Power Program (WWPP)

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricNCubicthe FOIA?ResourceMeasurement Buoy

  19. Value of Storage for Wind Power Producers in Forward Power Markets

    E-Print Network [OSTI]

    Zhao, Yue

    for integrating wind energy into the electric grid is to let wind power producers (WPPs) participateValue of Storage for Wind Power Producers in Forward Power Markets Milind Rao, Mainak Chowdhury, Yue Zhao, Tara Javidi, Andrea Goldsmith Abstract--Wind power producers (WPPs) that sell power

  20. Considering Air Density in Wind Power Production

    E-Print Network [OSTI]

    Zénó Farkas

    2011-03-11

    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.

  1. Considering Air Density in Wind Power Production

    E-Print Network [OSTI]

    Farkas, Zénó

    2011-01-01

    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.

  2. America's Wind Industry Reaches Record Highs | Department of...

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

    hardware costs are spurring near-record low prices for wind power. In 2011 and 2012 the price of wind under long-term power purchase contracts averaged just 4 cents per kilowatt...

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

    SciTech Connect (OSTI)

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

    2012-08-01

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

  4. Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price forecast of the Fifth Northwest Power

    E-Print Network [OSTI]

    to the electricity price forecast. This resource mix is used to forecast the fuel consumption and carbon dioxide (CO2Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price forecast of the Fifth Northwest Power Plan. This forecast is an estimate of the future price of electricity

  5. The KAMM/WAsP Numerical Wind Atlas A powerful ingredient for wind energy planning

    E-Print Network [OSTI]

    The KAMM/WAsP Numerical Wind Atlas A powerful ingredient for wind energy planning J. Badger, N.G. Mortensen, J.C. Hansen Wind Energy Department Risø National Laboratory Great Wall World Renewable Energy Forum Beijing, 23-27 October 2006 #12;Wind Farm Planning National Wind Atlas Environmental Atlases Maps

  6. World Wind Energy Conference, Berlin (2002) REGIONAL WIND POWER PREDICTION WITH RISK CONTROL

    E-Print Network [OSTI]

    Heinemann, Detlev

    2002-01-01

    is to seperately calculate the power output for each wind farm in the region and generate the sum. This wouldWorld Wind Energy Conference, Berlin (2002) PREVIENTO REGIONAL WIND POWER PREDICTION WITH RISK Oldenburg 26111 Oldenburg, Fax: ++49-441-798-3579 email: m.lange@mail.uni-oldenburg.de, http://ehf.uni-oldenburg.de/wind

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

    E-Print Network [OSTI]

    Brown, Jason P

    2014-01-01

    Figure 1. Location of Wind Power Development in the UnitedFigure 4: Total Installed Wind Power Capacity (MW): 2000 -development impacts of wind power installations. References

  8. Community wind power ownership schemes in Europe and their relevance to the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2001-01-01

    Andersen, P.D. 1998. Wind Power in Denmark: Technology,Inc. 1998. Distributed Wind Power Assessment. Draft reportwww.stem.se Swedish Wind Power Association. 2001. Current

  9. Volatility of Power Grids under Real-Time Pricing

    E-Print Network [OSTI]

    Roozbehani, Mardavij; Mitter, Sanjoy K

    2011-01-01

    The paper proposes a framework for modeling and analysis of the dynamics of supply, demand, and clearing prices in power system with real-time retail pricing and information asymmetry. Real-time retail pricing is characterized by passing on the real-time wholesale electricity prices to the end consumers, and is shown to create a closed-loop feedback system between the physical layer and the market layer of the power system. In the absence of a carefully designed control law, such direct feedback between the two layers could increase volatility and lower the system's robustness to uncertainty in demand and generation. A new notion of generalized price-elasticity is introduced, and it is shown that price volatility can be characterized in terms of the system's maximal relative price elasticity, defined as the maximal ratio of the generalized price-elasticity of consumers to that of the producers. As this ratio increases, the system becomes more volatile, and eventually, unstable. As new demand response technolo...

  10. Evergreen 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, AlabamaETEC GmbH JumpEllenville,PowerEvaporative Coolers Jump to:Wind LLCSecuritiesWind

  11. Wind Power Associates 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgencyTendo New EnergyWindState GridWind TurbinesproLtdPower

  12. Wind and 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgencyTendo New EnergyWindState GridWindLtd Jump to:SmartPower

  13. Wind to Power Systems | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgencyTendo New EnergyWindState GridWindLtd JumpPower Systems

  14. Enhanced Efficiency of Wind-Diesel Power Generation in Tribal...

    Office of Environmental Management (EM)

    Enhanced Efficiency of Wind-Diesel Power Generation in Tribal Villages Enhanced Efficiency of Wind-Diesel Power Generation in Tribal Villages June 17, 2014 - 3:50pm Addthis The...

  15. Islanded Grid Wind Power Conference | Department of Energy

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

    Islanded Grid Wind Power Conference Islanded Grid Wind Power Conference March 4, 2015 8:00AM AKST to March 6, 2015 5:00PM AKST Alaska Pacific University 4101 University Drive...

  16. Synchrophasor Applications for Wind Power Generation

    SciTech Connect (OSTI)

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

    2014-02-01

    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.

  17. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

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

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

    SciTech Connect (OSTI)

    Huskey, A.; Forsyth, T.

    2009-06-01

    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.

  19. Aalborg Universitet FACTS Devices for Large Wind Power Plants

    E-Print Network [OSTI]

    Berning, Torsten

    of wind power has become significant, grid performance and stability is affected [3]-[5]. ThereforeAalborg Universitet FACTS Devices for Large Wind Power Plants Adamczyk, Andrzej Grzegorz., Teodorescu, R., Rodriguez, P., & Mukerjee, R. N. (2010). FACTS Devices for Large Wind Power Plants

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

    E-Print Network [OSTI]

    Garulli, Andrea

    profiles, raise major challenges to wind power integration into the electricity grid. In this work we studyOptimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts Antonio that the inherent variability in wind power generation and the related difficulty in predicting future generation

  1. Power optimization of wind farms by curtailment of upwind turbines

    E-Print Network [OSTI]

    Power optimization of wind farms by curtailment of upwind turbines Simon Kirkeby Wessel Kongens is shown to increase the total power production of wind farms of dierent size and shape. Several methods by curtailing upwind turbines. It is shown that the annual power production for a square wind farm consisting

  2. 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 in the FastWind project. Several methods of estimating the power curve uncertainty were developed, it was found to be sensitive to the coherence of high frequency wind speed and power measurements

  3. 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, and the utilization of this renewable energy resource is increasing. Wind power installed capacity increased by 35

  4. 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

  5. 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, and the utilization of this renewable energy resource is increasing rapidly: wind power installed capacity increased

  6. 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 these classes of systems, e.g. when predicting the power production from new wind farms. 4 #12;1 Introduction

  7. 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

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

    E-Print Network [OSTI]

    Degeilh, Yannick

    2010-10-12

    enhancement of wind power output predictability is in itself desirable, as it would permit the accurate design of thermal conventional units dedicated only to the compensation of wind power erratic behavior. The turbines used in the studies are 3 MW Vestas...M the covariance matrix of the statistical single wind turbine power outputs ?? (i designating the farm number): 19...

  9. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    promote wind power. Section three analyzes the policy designdesign of several policy mechanisms that many observers claim have enabled the explosive growth of Chinese wind power.design—not policy causation. My findings, however, suggest that future research on Chinese wind power

  10. 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

  11. WIND POWER SIMULATION MODEL FOR RELIABILITY EVALUATION Rajesh Karki

    E-Print Network [OSTI]

    Saskatchewan, University of

    WIND POWER SIMULATION MODEL FOR RELIABILITY EVALUATION Rajesh Karki Rajesh.Karki@usask.ca Po Hu poh The rapidly increasing contribution of wind power to electric power generation around the world has motivated a need to develop more widely applicable methodologies for evaluating the actual benefits of adding wind

  12. 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

  13. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    Renewable power for China: Past, present, and future,? Frontiers of Energyfuture energy demand. Wind power must be complemented with other renewable

  14. Wind Concurrent Cooling Could Increase Power Transmission Potential...

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

    Concurrent Cooling Could Increase Power Transmission Potential by as Much as 40% Wind Concurrent Cooling Could Increase Power Transmission Potential by as Much as 40% May 18, 2015...

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

    E-Print Network [OSTI]

    with compressed air energy storage (CAES) participating freely in the day-ahead electricity market without the benefit of a renewable portfolio standard or production tax credit. CAES is used to reduce the risk of committing uncertain quantities of wind energy and to shift dispatch of wind generation to high price periods

  16. 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

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

    E-Print Network [OSTI]

    Hand, Maureen

    2008-01-01

    forecast Uranium fuel price is constant Shallow Offshore Windwind power directly reduces exposure to gas price risk, given uncertainties in the gas price forecast [

  18. Concurrent Wind Cooling in Power Transmission Lines

    SciTech Connect (OSTI)

    Jake P Gentle

    2012-08-01

    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.

  19. Validation of Power Output for the WIND Toolkit

    SciTech Connect (OSTI)

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

    2014-09-01

    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.

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

    E-Print Network [OSTI]

    Hand, Maureen

    2008-01-01

    fueled power generation with wind energy reduces waterand water savings. Index Terms—power system modeling, wind

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  2. 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

  3. 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.

    2010-09-01

    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.

  4. Low-Maintenance Wind Power System

    E-Print Network [OSTI]

    Rasson, Joseph E

    2010-01-01

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

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

    E-Print Network [OSTI]

    Review of Historical and Modern Utilization of Wind Power Publications Department publications Review of Historical and Modern Utilization of Wind Power Per Dannemand Andersen, Ph.D. Content INTRODUCTION THE HISTORY OF WIND POWER q Wind Power in Denmark APPLICATIONS OF WIND POWER WIND POWER

  6. 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

  7. 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

  8. 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

  9. Ris-R-1118(EN) Power Control for Wind Tur-

    E-Print Network [OSTI]

    to increase the wind energy penetration. The main options are to combine wind power with a pumped hydro power been developed to assess that. The economic investigations have shown that for small systems where only small amounts of wind energy would otherwise have been dumped add-on PQ- controllers with battery

  10. Optimal combined wind power forecasts using exogeneous variables

    E-Print Network [OSTI]

    Optimal combined wind power forecasts using exogeneous variables Fannar ¨Orn Thordarson Kongens to the Klim wind farm using three WPPT forecasts based on different weather forecasting systems. It is shown of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January

  11. 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

  12. Contribution to the Chapter on Wind Power Energy Technology

    E-Print Network [OSTI]

    Contribution to the Chapter on Wind Power Energy Technology Perspectives 2008 Jørgen Lemming; Poul Power Energy Technology Perspectives 2008 Division: Division Risø-R-1674(EN) January 2008 Abstract turbines, are being implemented across all wind energy countries. The cost of wind-generated electricity

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

    E-Print Network [OSTI]

    Ghaffari, Azad

    2013-01-01

    Power Optimization and Control in Wind Energy Conversion Systemspower point tracking in wind energy conversion systems,”power point tracking of wind energy conversion systems based

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

    E-Print Network [OSTI]

    Coughlin, Katie

    2011-01-01

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

  15. 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.

    2012-09-01

    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.

  16. 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.

    2010-01-01

    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.

  17. 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 ...

  18. 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 ...

  19. 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 ...

  20. Parametric design of floating wind turbines

    E-Print Network [OSTI]

    Tracy, Christopher (Christopher Henry)

    2007-01-01

    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 ...

  1. Wind Turbine Generator System Power Performance Test Report for the Entegrity EW50 Wind Turbine

    SciTech Connect (OSTI)

    Smith, J.; Huskey, A.; Jager, D.; Hur, J.

    2011-05-01

    Report on the results of the power performance test that the National Renewable Energy Laboratory (NREL) conducted on Entegrity Wind System Inc.'s EW50 small wind turbine.

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

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    upward pressure on wind turbine costs, wind project costs,Wind Turbine Transaction Prices Over Time With turbines accounting for as much as 75%-80% of total project costs,

  3. Community wind power ownership schemes in Europe and their relevance to the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2001-01-01

    particular, are dotted with small wind clusters, as opposedthe average bid price of small wind projects exceeded thehave also been sub-bands for small wind projects. 17 Table 5

  4. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA JumpDuimen RiverScoringUtilitiesRenovInceisa SAIBFC JumpWind Power

  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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenarios Towards 2050EnermarGeneration Jump to:New York: EnergyWind Power

  6. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company)Idaho)VosslohWestConnecticut: EnergyWind Power Renewables

  7. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company)Idaho)VosslohWestConnecticut: EnergyWind Power

  8. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to:Information 3rd|Northfork Electric Coop, Inc JumpNorthwestWind Power

  9. AG 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'S FUTURE.EnergyWoodenDate RecCompetitionCenturyWind Power Ltd Jump

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

    E-Print Network [OSTI]

    Firestone, Jeremy

    MAST/GEOG 667: Wind Power Meteorology Fall 2013, 3 credit hours 1 to understand onshore, offshore, and airborne wind power. Topics include: forces affecting winds; terrain and land-use effects; air turbulence; numerical modeling; wind power

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

    E-Print Network [OSTI]

    Mansbach, David K

    2010-01-01

    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

  12. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    Coco. ?China Rebuilds Its Power Grid as Part of Its CleanSchwartz, Louis. ?The Power Grid and Wind Industry in China:Measure on Supervision of Power-Grid Enterprise Purchases of

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

    E-Print Network [OSTI]

    Biennial 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 prices at several pricing points in the West, four of which are in the Pacific Northwest. The one most

  14. 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

  15. The Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis (Fact Sheet). Wind And Water Power Program (WWPP).

    E-Print Network [OSTI]

    Brown, Jason P.

    2014-01-01

    development potential from wind power installations has beendevelopment potential of wind power projects, however,is whether new investment in wind power projects stimulates

  16. 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

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

    SciTech Connect (OSTI)

    Wiser, Ryan H; Hand, Maureen

    2010-01-01

    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.

  18. 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@imm.dtu.dk www.imm.dtu.dk #12;#12;#12;Abstract This thesis describes the design of controllers for power regulation and load reduction and their ensemble in a variable-speed wind turbine. The power regulation

  19. DOE Announces Webinars on the Distributed Wind Power Market,...

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

    Retrofits Financial Analysis Tool, and More DOE Announces Webinars on the Distributed Wind Power Market, Lighting Retrofits Financial Analysis Tool, and More August 16, 2013 -...

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

    E-Print Network [OSTI]

    German Morales-España

    2014-09-16

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

  1. 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 *...

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

    SciTech Connect (OSTI)

    Not Available

    2011-04-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01

    report of the Power Capital Cost Index (PCCI), July 6, 2011.the IHS CERA Power Capital Cost Index (“PCCI”) of coal, gas,index has recently begun to creep higher once again). Cost

  4. 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

  5. Maximum power tracking control scheme for wind generator systems 

    E-Print Network [OSTI]

    Mena Lopez, Hugo Eduardo

    2009-05-15

    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 complex urban environments

    E-Print Network [OSTI]

    Wind power resource assessment in complex urban environments: MIT campus case-study using CFD in Computational Fluid Dynamics (CFD) methods holds potential for the advancement of wind energy resource assessment in complex urban terrain by modeling wind circulation around urban obstacles. The geometry

  7. Maximum power tracking control scheme for wind generator systems 

    E-Print Network [OSTI]

    Mena Lopez, Hugo Eduardo

    2008-10-10

    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...

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

    E-Print Network [OSTI]

    Abstract-- Wind energy on a power system alters the unit commitment and dispatch problem, as it adds to provide large amounts of their electrical energy requirements from wind power. This wind power will have (regulation and frequency issues), to hours and days (unit commitment and dispatch), to years (transmission

  9. Power Performance Test Report for the SWIFT Wind Turbine

    SciTech Connect (OSTI)

    Mendoza, I.; Hur, J.

    2012-12-01

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

  10. Investment Timing and Capacity Choice for Small-Scale Wind Power Under Uncertainty

    E-Print Network [OSTI]

    Fleten, Stein-Erik; Maribu, Karl Magnus

    2004-01-01

    REFERENCES [1] American Wind Power Association (AWEA), Road-CHOICE FOR SMALL-SCALE WIND POWER UNDER UNCERTAINTY Stein-Power production from wind power has stochastic inflows, and

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

    E-Print Network [OSTI]

    Brown, Jason P.

    2014-01-01

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

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

    E-Print Network [OSTI]

    Brown, Jason P.

    2014-01-01

    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

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

    SciTech Connect (OSTI)

    Baring-Gould, E. I.

    2013-08-01

    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.

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

    E-Print Network [OSTI]

    2008-01-01

    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

  15. 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.

    1995-02-01

    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.

  16. 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.

    2012-09-01

    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.

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

    E-Print Network [OSTI]

    Jaworsky, Christina A

    2013-01-01

    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. Access Framework: Model Text (November 2011) An Act to Establish a Framework for Development of Offshore Wind Power

    E-Print Network [OSTI]

    Firestone, Jeremy

    an adaptive management system of monitoring and evaluation; BE IT ENACTED... Prepared by Jeremy Firestone, Whereas, offshore wind power provides utility-scale renewable energy at competitive costs, helps to meet the increasing energy demand in U.S. coastal areas, provides a price-stable means of energy generation, and does

  19. Modeling the Benefits of Storage Technologies to Wind Power

    SciTech Connect (OSTI)

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

    2008-06-01

    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.

  20. 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)

    2012-01-01

    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.

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

    E-Print Network [OSTI]

    to higher oil and natural gas costs. Increased use of coal instead of natural gas increased pressure on rail The Fifth Power Plan includes price forecasts for natural gas, oil, and coal. Natural gas prices have by far in energy prices in 2000. This increase followed more than a decade of low energy prices since the mid-1980s

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

    E-Print Network [OSTI]

    Wiser, Ryan H

    2009-01-01

    to lower the cost of offshore wind power, and incrementallyinstalled offshore. From 2018 to 2030, roughly 16 GW of wind

  3. Revised: Jan 20, 2014 56:155 [IE:4550] Wind Power Management

    E-Print Network [OSTI]

    Kusiak, Andrew

    1 Revised: Jan 20, 2014 56:155 [IE:4550] Wind Power Management http://www.icaen.uiowa.edu/~ie_155 and systems, wind farm performance optimization, and integration of wind power with a grid. The modeling Useful Wind Energy Websites Wind basics http://www.nrel.gov/learning/re_wind.html Wind energy tutorial

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

    E-Print Network [OSTI]

    Wiser, Ryan H

    2009-01-01

    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

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

    E-Print Network [OSTI]

    2008-01-01

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

  6. Bluewater Wind/Delmarva Fact Sheet February 2008

    E-Print Network [OSTI]

    Firestone, Jeremy

    turbine, 450MW wind project 12-13 miles off of Rehoboth Beach. Delmarva Power agrees to buy up to 300MW energy bill of $6.46/month. The "rate impact" is a comparison of the known Bluewater price for wind power with the estimated future market price of other power. The estimated market price is just that, an estimate

  7. 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

    2010-01-01

    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

  8. A comparative analysis of business structures suitable for farmer-owned wind power projects in the United States

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01

    Support for Community Wind Power Development. LBNL-54715.Analysis of Community Wind Power Development Options inWhip Up Hopes for Wind Power Again. ” The Wall Street

  9. Part of the Climate Change Problem . . . and the Solution? Chinese-Made Wind Power Technology and Opportunities for Dissemination

    E-Print Network [OSTI]

    Lewis, Joanna I.

    2005-01-01

    2004.   “Grid  Connected  Wind  Power  in  China. ”  NREL/Commercialization  of  Wind  Power  Technology  in  China.  Coal  and  Candles:  Wind  Power in  China. ” Energy Policy 

  10. The Great Plains Wind Power Test Facility

    SciTech Connect (OSTI)

    Schroeder, John

    2014-01-31

    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.

  11. High Altitude Wind Power Systems: A Survey on Flexible Power Kites Mariam Ahmed*

    E-Print Network [OSTI]

    Boyer, Edmond

    High Altitude Wind Power Systems: A Survey on Flexible Power Kites Mariam Ahmed* Grenoble (G2ELab) 38402 Saint-Martin d'Heres, France Abstract-- High altitude wind energy (HAWE) is a new interest in sustainable development, renewable energy systems, such as solar photo-voltaic, wind and tidal

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

    E-Print Network [OSTI]

    Huo, Xiaoming

    IEEE 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 results using historical price data taken from the Eastern U.S. electric power markets. Index Terms--Electricity

  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) 23 October 2008 Abstract We develop a fundamental model for spot electricity prices, based on stochastic processes for underlying factors (fuel prices, power demand and generation capacity availability

  14. 756 IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 4, NO. 3, JULY 2013 Minimization of Wind Farm Operational

    E-Print Network [OSTI]

    Kusiak, Andrew

    turbines installed at a wind farm. Wind turbine index. Grid demand at time . Power generated by wind turbine at time . Expected power generated by wind turbine at time window . Average wind speed at time price at time . Power shortage (demand minus generated wind power) at time . Levelized unit operations

  15. Optimizing a Hybrid Energy Storage System for a Virtual Power Plant for Improved Wind Power

    E-Print Network [OSTI]

    Teodorescu, Remus

    Optimizing a Hybrid Energy Storage System for a Virtual Power Plant for Improved Wind Power approach to find two optimum energy storages (ESs) to build a hybrid system which is part of a virtual power plant. In this paper it means the combination of the hybrid energy storage system and wind power

  16. 2014 WIND POWER PROGRAM PEER REVIEW-DISTRIBUTED WIND

    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 on Delicious Rank EERE:Financing ToolInternationalReportOffice | Department ofDistributed Wind March 24-27, 2014 Wind

  17. The Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis (Fact Sheet). Wind And Water Power Program (WWPP).

    E-Print Network [OSTI]

    Brown, Jason P.

    2014-01-01

    WIND AND WATER POWER PROGRAM The Impact of Wind Developmentmay be required. WIND AND WATER POWER PROGRAM Methods TheNREL). The U.S. DOE (Wind & Water Power Program) funded

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

    E-Print Network [OSTI]

    Nishino, Takafumi

    2013-01-01

    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 $U_{F0}$.

  19. Fuxin Union Wind Power Co Ltd formerly known as Liaoning Zhangwu...

    Open Energy Info (EERE)

    Union Wind Power Co Ltd formerly known as Liaoning Zhangwu Xiehe Wind Power Co Ltd Jump to: navigation, search Name: Fuxin Union Wind Power Co Ltd (formerly known as Liaoning...

  20. Analyzing the interaction between state tax incentives and the federal production tax credit for wind power

    E-Print Network [OSTI]

    Wiser, Ryan; Bolinger, Mark; Gagliano, Troy

    2002-01-01

    Production Tax Credit for Wind Power Ryan Wiser and MarkState Policies Foster a Wind Power Resurgence The ImportancePTC) for large-scale wind power projects. While the federal

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

    E-Print Network [OSTI]

    Mills, Andrew D.

    2011-01-01

    The Effects of Integrating Wind Power on Transmission SystemH. On methodology for modelling wind power impact on powerwith Large Amounts of Wind Power; VTT Working Paper 82,

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

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    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

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

    E-Print Network [OSTI]

    Wiser, Ryan H

    2009-01-01

    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

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

    E-Print Network [OSTI]

    Coughlin, Katie

    2011-01-01

    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

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

    E-Print Network [OSTI]

    Mills, Andrew D.

    2011-01-01

    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)

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

    E-Print Network [OSTI]

    Ghaffari, Azad

    2013-01-01

    2011. [2] ——, “High altitude wind power systems: A survey onidea of harnessing high altitude wind power using a tetheredComputed power densities in high altitude winds exceed a 10

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

    E-Print Network [OSTI]

    Ghaffari, Azad

    2013-01-01

    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

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

    SciTech Connect (OSTI)

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

    2012-07-01

    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.

  9. Wind power is a rapidly growing and evolving field that crosses traditional academic disciplines and increasingly

    E-Print Network [OSTI]

    Firestone, Jeremy

    Wind power is a rapidly growing and evolving field that crosses traditional academic disciplines to locate wind power projects, the economics and regulatory policies governing wind power and the complex wind projects. Interdisciplinary Research and Education The Wind Power Science, Engineering and Policy

  10. 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 ...

  11. WPA Omnibus Award MT Wind Power Outreach

    SciTech Connect (OSTI)

    Brian Spangler, Manager Energy Planning and Renewables

    2012-01-30

    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.

  12. 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.

    1983-02-01

    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.

  13. 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)

    2008-06-24

    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.

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

    SciTech Connect (OSTI)

    Sinclair, Mark; Margolis, Anne

    2012-02-01

    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.

  15. Wind Turbine Generator System Power Quality Test Report for the Gaia Wind 11-kW Wind Turbine

    SciTech Connect (OSTI)

    Curtis, A.; Gevorgian, V.

    2011-07-01

    This report details the power quality test on the Gaia Wind 11-kW Wind Turbine as part of the U.S. Department of Energy's Independent Testing Project. In total five turbines are being tested as part of the project. Power quality testing is one of up to five test that may be performed on the turbines including power performance, safety and function, noise, and duration tests. The results of the testing provide manufacturers with reports that may be used for small wind turbine certification.

  16. 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

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

    SciTech Connect (OSTI)

    Not Available

    2013-01-01

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

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

    E-Print Network [OSTI]

    Lennard, William N.

    World-Unique Wind Facilities Designed to protect us from storms, harness the power of wind advanced experimental facility for studying the effects of damaging winds on structures, and for designing on buildings and structures, wind turbines, forests and crops; and improve the positioning and design of wind

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    turbine scaling, raw materials prices, energy prices, andin the commodity price of raw materials and energy inputs toMovements Labor Costs (Vestas) Raw Materials Prices Warranty

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    raw materials prices, energy prices, and foreign exchangematerials (and later energy) prices focuses exclusively onindividual material). 3.6 Energy Prices Life-cycle analyses

  1. Pennsylvania Natural Gas Price Sold to Electric Power Consumers (Dollars

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| DepartmentPeer Review Policies Basic EnergyPrice (Dollarsper

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

    SciTech Connect (OSTI)

    NWCC Avian Subcommittee

    2001-05-01

    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.

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

    SciTech Connect (OSTI)

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

    2012-07-01

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

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

    SciTech Connect (OSTI)

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

    2007-03-01

    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.

  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

    2007-10-31

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

    SciTech Connect (OSTI)

    Kessler, E.; Eyster, R.

    1987-09-01

    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.

  7. Optimal Contract for Wind Power in Day-Ahead Electricity Markets

    E-Print Network [OSTI]

    Wierman, Adam

    Optimal Contract for Wind Power in Day-Ahead Electricity Markets Desmond W. H. Cai1 Sachin Adlakha2 integration in current electric power systems. In this work, we study how a wind power producer can bid wind power producer will produce as much as wind power is available (up to its contract size). 1

  8. 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

  9. 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

    2010-01-01

    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. ,

  10. Wind Vision: A New Era for Wind Power

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

    results from a collaboration of the DOE with over 250 experts from industry, electric power system operators, environmental stewardship organizations, state and federal...

  11. Wind Vision: A New Era for Wind Power

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

    power generation...48 Table of Contents List of Figures vii Table of Contents Figure 2-18. Fire Island 17.6-MW project in Alaska...

  12. Judi Danielson Wind Power: From Niche to Mainstream

    E-Print Network [OSTI]

    continued to grow, driven by retail green power options, utility efforts to diversify and "green up" resource portfolios, green power acquisition mandates imposed by public utility commissions as a conditionJudi Danielson Wind Power: From Niche to Mainstream What's Inside (continued on page 11) Winter

  13. DOE Announces Webinars on the Distributed Wind Power Market,...

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

    Utility Energy Service Contracts, and More DOE Announces Webinars on the Distributed Wind Power Market, Utility Energy Service Contracts, and More August 21, 2013 - 12:00pm Addthis...

  14. 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.

  15. 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...

  16. 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

    2010-01-01

    Opinion about Large Offshore Wind Power: Underlying Factors.Delaware Opinion on Offshore Wind Power - Interim Report.

  17. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgencyTendo New Energy Equipment Co LtdSimran Wind Project PBlade

  18. Wethersfield Wind 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland:EnergyWeVirginiaElectricWestwindWethersfield Wind

  19. Wind Vision: A New Era for Wind Power

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S.Lacledeutilities.Energy Thefull swing, andWind ProgramThe DeputyofWindi

  20. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesofPublications The NREL wind research programWebmaster

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

    E-Print Network [OSTI]

    Dominguez-Garcia, Alejandro

    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

  2. Evaluation of global wind power Cristina L. Archer and Mark Z. Jacobson

    E-Print Network [OSTI]

    % of all reporting stations experience annual mean wind speeds ! 6.9 m/s at 80 m (i.e., wind power class 3Evaluation of global wind power Cristina L. Archer and Mark Z. Jacobson Department of Civil the world's wind power potential for the first time from data. Wind speeds are calculated at 80 m, the hub

  3. Aalborg Universitet Control and Protection of Wind Power Plants with VSC-HVDC Connection

    E-Print Network [OSTI]

    Chaudhary, Sanjay

    to a higher energy yield. Europe has a huge potential of offshore wind energy, which is a green energy. The European Union expects to generate 230 GW wind power, in which the offshore wind power is expected to contribute 40 GW. Offshore wind power plants have better wind velocity profile leading

  4. 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

    2014-01-31

    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.

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

    E-Print Network [OSTI]

    Li, Husheng

    2010-01-01

    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...

  6. Wind power forecasting in U.S. electricity markets.

    SciTech Connect (OSTI)

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

    2010-04-01

    Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts.

  7. Wind power forecasting in U.S. Electricity markets

    SciTech Connect (OSTI)

    Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro; Bessa, Ricardo J.

    2010-04-15

    Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts. (author)

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

    SciTech Connect (OSTI)

    O'Dell, K.

    2013-09-01

    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.

  9. Wind Generation in the Future Competitive California Power Market

    SciTech Connect (OSTI)

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

    1998-03-01

    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.

  10. 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.

  11. 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...

  12. Federal Incentives for Wind Power (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-05-01

    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.

  13. 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.

    2013-09-01

    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.

  14. Aalborg Universitet Transient Stability Assessment of Power System with Large Amount of Wind Power

    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

  15. 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

    2010-01-01

    multi?megawatt wind turbine, Renewable Energy, Matthews, J.wind turbines in Europe and North America, Renewable Energy,wind power poten- tial on Hong Kong islands—An analysis of wind power and wind turbine characteristics, Renewable Energy,

  16. 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

  17. Animation and Visualization of Spot Prices via Quadratized Power Flow Analysis

    E-Print Network [OSTI]

    Animation and Visualization of Spot Prices via Quadratized Power Flow Analysis A. P. Sakis@attbi.com Abstract This paper presents a new model for efficient calculation of spot prices and animation and visualization of spot price evolution as the system operating point is changing. The computational method

  18. Learning Price-Elasticity of Smart Consumers in Power Distribution Systems

    E-Print Network [OSTI]

    Gómez, Vicenç

    rely on consumers and/or loads responding to exogenous signals, typically in the form of energy pricingLearning Price-Elasticity of Smart Consumers in Power Distribution Systems Vicenc¸ G´omez1, Michael for estimating the price elasticity of many customers comprising a distribution system. We utilize a sparse

  19. Stochastic modeling and performance monitoring of wind farm power production

    E-Print Network [OSTI]

    Milan, Patrick; Peinke, Joachim

    2015-01-01

    We present a new stochastic approach to describe and remodel the conversion process of a wind farm at a sampling frequency of 1Hz. When conditioning on various wind direction sectors, the dynamics of the conversion process appear as a fluctuating trajectory around an average IEC-like power curve, see section II. Our approach is to consider the wind farm as a dynamical system that can be described as a stochastic drift/diffusion model, where a drift coefficient describes the attraction towards the power curve and a diffusion coefficient quantifies additional turbulent fluctuations. These stochastic coefficients are inserted into a Langevin equation that, once properly adapted to our particular system, models a synthetic signal of power output for any given wind speed/direction signals, see section III. When combined with a pre-model for turbulent wind fluctuations, the stochastic approach models the power output of the wind farm at a sampling frequency of 1Hz using only ten-minute average values of wind speed ...

  20. Quadrennial Technology Review 2015: Technology Assessments--Wind Power

    SciTech Connect (OSTI)

    none,

    2015-10-07

    Wind power has become a mainstream power source in the U.S. electricity portfolio, supplying 4.9% of the nation’s electricity demand in 2014. With more than 65 GW installed across 39 states at the end of 2014, utility-scale wind power is a cost-effective source of low-emissions power generation throughout much of the nation. The United States has significant sustainable land-based and offshore wind resource potential, greater than 10 times current total U.S. electricity consumption. A technical wind resource assessment conducted by the Department of Energy (DOE) in 2009 estimated that the land-based wind energy potential for the contiguous United States is equivalent to 10,500 GW capacity at 80 meters (m) hub and 12,000 GW capacity at 100 meters (m) hub heights, assuming a capacity factor of at least 30%. A subsequent 2010 DOE report estimated the technical offshore wind energy potential to be 4,150 GW. The estimate was calculated from the total offshore area within 50 nautical miles of shore in areas where average annual wind speeds are at least 7 m per second at a hub height of 90 m.

  1. Impact of Energy Imbalance Tariff on Wind Energy

    SciTech Connect (OSTI)

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

    2007-07-01

    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.

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

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2010-04-01

    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.

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

    SciTech Connect (OSTI)

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

    2012-08-01

    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.

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

    E-Print Network [OSTI]

    Brown, Jason P

    2014-01-01

    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)

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

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    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

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

    E-Print Network [OSTI]

    Coughlin, Katie

    2011-01-01

    use of near-term wind power forecasts (GE 2008, CAISO 2007).partially controllable. Wind power can be forecast with someforecast will be based on some combination of the same-day wind

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

    E-Print Network [OSTI]

    Ghaffari, Azad

    2013-01-01

    Output power leveling of wind turbine generator for allpower map of Distributed Generators (DG), including Photo- voltaic (PV) and WindGenerator (IG) stator. Introduction A variable speed wind turbine generates power

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

    SciTech Connect (OSTI)

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

    2012-08-01

    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.

  9. 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

    2010-01-01

    CO 2 reductions via offshore wind power matched to inherentsurface roughness for offshore wind resource assessment, J.data to evaluate the offshore wind power resource of

  10. Spatial and temporal distributions of U.S. winds and wind power at 80 m derived from measurements

    E-Print Network [OSTI]

    and reliable source of electric power. Data from 1327 surface stations and 87 soundings in the United StatesSpatial and temporal distributions of U.S. winds and wind power at 80 m derived from measurements 2002; published 13 May 2003. [1] This is a study to quantify U.S. wind power at 80 m (the hub height

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

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

    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...

  12. 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

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  14. Response of Rocky Mountain Elk (Cervus elaphus) to Wind-power Development

    E-Print Network [OSTI]

    Response of Rocky Mountain Elk (Cervus elaphus) to Wind-power Development W. DAVID WALTER1 Oklahoma) to wind-power development in southwestern Oklahoma. Ten elk were radiocollared in an area of wind-power devel- opment on 31 March 2003 and were relocated bi-weekly through March 2005. Wind-power construction

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

    E-Print Network [OSTI]

    Garulli, Andrea

    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

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

    E-Print Network [OSTI]

    Borissova, Daniela

    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

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

    SciTech Connect (OSTI)

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

    2014-07-01

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

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

    SciTech Connect (OSTI)

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

    2010-05-01

    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.

  19. Optimization of wind turbine energy and power factor with an evolutionary computation algorithm

    E-Print Network [OSTI]

    Kusiak, Andrew

    Optimization of wind turbine energy and power factor with an evolutionary computation algorithm 2009 Keywords: Wind turbine Power factor Power output Power quality Data mining Neural network Dynamic computation approach for optimization of power factor and power output of wind turbines is discussed. Data

  20. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest

    E-Print Network [OSTI]

    Fripp, Matthias; Wiser, Ryan

    2006-01-01

    of wind power, based on historical and forecast wholesale-wind timing using historical electricity loads and historical and forecastValue, Forecast Prices Figure 3. Effects of Wind Timing on

  1. Stochastic Modeling of Wind Power Production Patrick Milan

    E-Print Network [OSTI]

    Peinke, Joachim

    of Oldenburg, Germany Abstract A stochastic model is proposed to reproduce synthetically the power production. While these short-time fluc- tuations should not affect strongly the annual energy productionStochastic Modeling of Wind Power Production Patrick Milan Matthias Wächter Joachim Peinke For

  2. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01

    wind manufacturers to produce offshore wind turbines withturbines, including those suitable for offshore wind farms.

  3. 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

  4. Comparison of Feed in Tariff, Quota and Auction Mechanisms to Support Wind Power Development

    E-Print Network [OSTI]

    Butler, Lucy; Neuhoff, Karsten

    2006-03-14

    from an alternative source, were determined by the state utility commissions. Many commissions pegged the rates to high oil prices, resulting in highly favourable guaranteed payment and stimulating renewable development (IEA 2004a).3 A further... the marginal price, and turbines at locations with higher wind speeds will capture scarcity rents of the high wind locations. If high scarcity rents are to be avoided, a distinction should be made between sites according to the available wind resource...

  5. 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

  6. Potential order-of-magnitude enhancement of wind farm power density via counter-rotating vertical-axis wind

    E-Print Network [OSTI]

    Dabiri, John O.

    Potential order-of-magnitude enhancement of wind farm power density via counter-rotating vertical-axis wind turbine arrays John O. Dabiria) Graduate Aeronautical Laboratories and Bioengineering, California; published online 19 July 2011) Modern wind farms comprised of horizontal-axis wind turbines (HAWTs) require

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    In comparison, the rise in coal prices has been slower andFiberglass Energy Prices Diesel Coal Natural Gas Currencyconsumption) Coal (20% of consumption) Real Price Change in

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01

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

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

    E-Print Network [OSTI]

    Hoen, Ben

    2012-01-01

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

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01

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

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

    E-Print Network [OSTI]

    Caramanis, Michael

    Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants Elli. To this end, we define a distribution market that can discover spatiotemporal real and reactive power prices dynamically to optimize cost and utility of distributed generation assets, consumers, transformer and other

  12. WindStor Power Co WPC | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgencyTendo New EnergyWindState GridWindLtd JumpPowerWindSave

  13. Open Transmission and Spot Markets for Power: Models of Power and Transmission Pricing on the Western Network

    E-Print Network [OSTI]

    White, Douglas R.

    of an efficient and stable wholesale power market. If the retail market were to achieve a comparable efficiencyMBS 97-07 Open Transmission and Spot Markets for Power: Models of Power and Transmission Pricing markets for electric power by requiring utilities to open their transmission systems to wholesale power

  14. Accretion-Powered Stellar Winds II: Numerical Solutions for Stellar Wind Torques

    E-Print Network [OSTI]

    Sean Matt; Ralph E. Pudritz

    2008-01-18

    [Abridged] In order to explain the slow rotation observed in a large fraction of accreting pre-main-sequence stars (CTTSs), we explore the role of stellar winds in torquing down the stars. For this mechanism to be effective, the stellar winds need to have relatively high outflow rates, and thus would likely be powered by the accretion process itself. Here, we use numerical magnetohydrodynamical simulations to compute detailed 2-dimensional (axisymmetric) stellar wind solutions, in order to determine the spin down torque on the star. We explore a range of parameters relevant for CTTSs, including variations in the stellar mass, radius, spin rate, surface magnetic field strength, the mass loss rate, and wind acceleration rate. We also consider both dipole and quadrupole magnetic field geometries. Our simulations indicate that the stellar wind torque is of sufficient magnitude to be important for spinning down a ``typical'' CTTS, for a mass loss rate of $\\sim 10^{-9} M_\\odot$ yr$^{-1}$. The winds are wide-angle, self-collimated flows, as expected of magnetic rotator winds with moderately fast rotation. The cases with quadrupolar field produce a much weaker torque than for a dipole with the same surface field strength, demonstrating that magnetic geometry plays a fundamental role in determining the torque. Cases with varying wind acceleration rate show much smaller variations in the torque suggesting that the details of the wind driving are less important. We use our computed results to fit a semi-analytic formula for the effective Alfv\\'en radius in the wind, as well as the torque. This allows for considerable predictive power, and is an improvement over existing approximations.

  15. New IEC Specifications Help Define Wind Plant Performance Reporting...

    Energy Savers [EERE]

    prices. Source: NREL Award-winning research takes a fresh look at Geothermal Energy Small Wind Turbine Certifications Signal Maturing Industry Study Shows Active Power Controls...

  16. 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

  17. DOE Announces Effort to Advance U.S. Wind Power Manufacturing...

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

    of Understanding (MOU) between DOE and six leading wind industry turbine manufacturers: GE Energy, Siemens Power Generation, Vestas Wind Systems, Clipper Turbine Works, Suzlon...

  18. Aalborg Universitet ARIMA-Based Time Series Model of Stochastic Wind Power Generation

    E-Print Network [OSTI]

    Bak-Jensen, Birgitte

    the nonstationarity and physical limits of stochastic wind power generation. The model is constructed based on wind power measurement of one year from the Nysted offshore wind farm in Denmark. The proposed limitedAalborg Universitet ARIMA-Based Time Series Model of Stochastic Wind Power Generation Chen, Peiyuan

  19. PEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach

    E-Print Network [OSTI]

    Huang, Jianwei

    1 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 with wind DG units is to provide low-cost and fast-responding reactive power compensation of the wind

  20. On the Wind Power Input to the Ocean General Circulation XIAOMING ZHAI

    E-Print Network [OSTI]

    Wunsch, Carl

    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

  1. Edinburgh Research Explorer Life Cycle Costs and Carbon Emissions of Onshore Wind Power

    E-Print Network [OSTI]

    Millar, Andrew J.

    Edinburgh Research Explorer Life Cycle Costs and Carbon Emissions of Onshore Wind Power Citation. 2015 #12;Life Cycle Costs and Carbon Emissions of Onshore Wind Power R Camilla Thomson, Gareth P the economics of wind energy is vitally important to ensure a rational discussion about the role of wind power

  2. MPC for Wind Power Gradients --Utilizing Forecasts, Rotor Inertia, and Central Energy Storage

    E-Print Network [OSTI]

    MPC for Wind Power Gradients -- Utilizing Forecasts, Rotor Inertia, and Central Energy Storage the control of a wind power plant, possibly consisting of many individual wind turbines. The goal. INTRODUCTION Today, wind power is the most important renewable energy source. For the years to come, many

  3. 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

  4. ECE 457 Dawson Fall 2010 Course Syllabus & Policies Fundamentals of Wind Power

    E-Print Network [OSTI]

    Stuart, Steven J.

    to power generation. Topics include wind energy principles, wind site assessment, wind turbine components, power generation machinery, control systems, connection to the electric grid, and maintenance and societal perspectives regarding the demand for mechanical and electrical power generation from wind using

  5. Aalborg Universitet Impact of Wind Shear and Tower Shadow Effects on Power System with Large Scale

    E-Print Network [OSTI]

    Hu, Weihao

    @et.aau.dk, csu@et.aau.dk, zch@et.aau.dk Abstract ­ Grid connected wind turbines are fluctuating power sources due and the power flow situation of the original power system especially when the integration of wind powerAalborg Universitet Impact of Wind Shear and Tower Shadow Effects on Power System with Large Scale

  6. Aalborg Universitet HVDC Connected Offshore Wind Power Plants: Review and Outlook of Current

    E-Print Network [OSTI]

    Bak, Claus Leth

    Aalborg Universitet HVDC Connected Offshore Wind Power Plants: Review and Outlook of Current., ... Kjær, P. C. (2013). HVDC Connected Offshore Wind Power Plants: Review and Outlook of Current Research Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants

  7. An Enabling Framework for Wind Power in Colombia: What are the...

    Open Energy Info (EERE)

    to investing in wind power, we focus on the regulatory incentives for investment in power generation."1 References 1.0 1.1 "An Enabling Framework for Wind Power in...

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    the performance of these markets. In this paper, different AC and DC optimal power flow (OPF) models are presented Terms-- Locational marginal pricing, wholesale power market, AC optimal power flow, DC optimal power to distinct local conditions (e.g., hydroelectric power in the northwest). Even in regions adopting the design

  9. WINDExchange: How Do I Get 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 -UsingHeatInformation ResourcesAboutHow do I get Wind

  10. 2014 Year-End Wind Power Capacity

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 2010 james-r.giusti@srs.govTuesday,2 News4 User4 Wind 0 1 4

  11. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgency (IRENA)Options JumpOpenEI CommunityLLCUK WindStromJump

  12. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgencyTendo New Energy EquipmentSvendborg BrakesO GreenTMETS Wind

  13. Somerset 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS ReportEurope GmbHSolo Energy Jump to: navigation,SolynovaSomeWind

  14. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View New Pages RecentPlantMagmaIncentivesEnergy | OpenWind Farm Jump to:

  15. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company)Idaho)VosslohWestConnecticut: Energy ResourcessourceWind

  16. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavy Electricals Ltd BHEL Jump to:BottomlineBroConsultoriaCECIC Wind

  17. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavy Electricals Ltd BHEL JumpCMNACeltChongqing XinxingCielo Wind

  18. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavy Electricals Ltd BHEL JumpCMNACeltChongqingConcepts JumpWind

  19. Guohua Qiqihaer 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavy ElectricalsFTL SolarGateMingyang Wind

  20. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavy ElectricalsFTL SolarGateMingyangHangtianOpenFulong Wind

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

    SciTech Connect (OSTI)

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

    2009-10-09

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

  2. Prices

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  3. Prices

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 2001 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  4. Prices

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  5. Prices

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

    Information AdministrationPetroleum Marketing Annual 2002 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  6. 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

    2012-02-28

    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.

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01

    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

  8. 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 ...

  9. Community wind power ownership schemes in Europe and their relevance to the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2001-01-01

    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

  10. Investment Timing and Capacity Choice for Small-Scale Wind Power Under Uncertainty

    E-Print Network [OSTI]

    Fleten, Stein-Erik; Maribu, Karl Magnus

    2004-01-01

    A 20-year industry plan for small wind turbine tech- nology,has estimated that small wind turbines could contribute to 3CAPACITY CHOICE FOR SMALL-SCALE WIND POWER UNDER UNCERTAINTY

  11. U.S. Continues to Lead the World in Wind Power Growth | Department...

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

    wind plants in 2007 alone, making the U.S. the fastest-growing wind power market in the world for the third straight year. The report also showed that wind is on a path to becoming...

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

    E-Print Network [OSTI]

    Ghaffari, Azad

    2013-01-01

    power at the wind turbine shaft as the cost func- tion asstructure, cost, and land occupation. In wind turbines, thecost. Since the P&O method adds delay, it is not practical for medium- and large-inertia wind turbine

  13. Examination of Capacity and Ramping Impacts of Wind Energy on Power Systems

    SciTech Connect (OSTI)

    Kirby, B.; Milligan, M.

    2008-07-01

    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.

  14. 2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01

    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.

  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)

    2011-12-06

    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. Aalborg Universitet Ancillary Frequency Control of Direct Drive Full-Scale Converter Based Wind Power

    E-Print Network [OSTI]

    Hu, Weihao

    , integration of such a lot of wind energy into power grids presents a major challenge to power system operators more attentions all over the world. Large-scale wind power plants are increasingly integrated). Ancillary Frequency Control of Direct Drive Full-Scale Converter Based Wind Power Plants. In Proceedings

  17. Aalborg Universitet A Strategy of Minimizing Wind Power Curtailment by Considering Operation Capacity

    E-Print Network [OSTI]

    Chen, Zhe

    ) [1], 19% in Portugal, 11% in Germany [2] and etc. However, high level wind power integration is stillAalborg Universitet A Strategy of Minimizing Wind Power Curtailment by Considering Operation of Minimizing Wind Power Curtailment by Considering Operation Capacity Credit. In Proceedings of the IEEE Power

  18. Power optimization of wind turbines with data mining and evolutionary computation

    E-Print Network [OSTI]

    Kusiak, Andrew

    Power optimization of wind turbines with data mining and evolutionary computation Andrew Kusiak for maximization of the power produced by wind turbines is presented. The power optimization objective energy captured from the wind. Power output can be increased by optimization of the pitch angle

  19. nwcouncil.org > SPRING 2011 > PAGE 16 Wind power continues to make strides as

    E-Print Network [OSTI]

    nwcouncil.org > SPRING 2011 > PAGE 16 Wind power continues to make strides as part of the Pacific Northwest's power supply. Just how fast has wind power grown in the last five years? Here are the numbers 10 percent of total supply That's a lot of new wind power developed in a short timeframe, which has

  20. Aalborg Universitet An assessment of converter modelling needs for offshore wind power plants

    E-Print Network [OSTI]

    Bak, Claus Leth

    Aalborg Universitet An assessment of converter modelling needs for offshore wind power plants). An assessment of converter modelling needs for offshore wind power plants connected via VSC-HVDC networks Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants. Energynautics