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    The Wind Forecast Improvement Project (WFIP): A Public–Private Partnership Addressing Wind Energy Forecast Needs

    Source: Bulletin of the American Meteorological Society:;2014:;volume( 096 ):;issue: 010::page 1699
    Author:
    Wilczak, James
    ,
    Finley, Cathy
    ,
    Freedman, Jeff
    ,
    Cline, Joel
    ,
    Bianco, Laura
    ,
    Olson, Joseph
    ,
    Djalalova, Irina
    ,
    Sheridan, Lindsay
    ,
    Ahlstrom, Mark
    ,
    Manobianco, John
    ,
    Zack, John
    ,
    Carley, Jacob R.
    ,
    Benjamin, Stan
    ,
    Coulter, Richard
    ,
    Berg, Larry K.
    ,
    Mirocha, Jeffrey
    ,
    Clawson, Kirk
    ,
    Natenberg, Edward
    ,
    Marquis, Melinda
    DOI: 10.1175/BAMS-D-14-00107.1
    Publisher: American Meteorological Society
    Abstract: he Wind Forecast Improvement Project (WFIP) is a public?private research program, the goal of which is to improve the accuracy of short-term (0?6 h) wind power forecasts for the wind energy industry. WFIP was sponsored by the U.S. Department of Energy (DOE), with partners that included the National Oceanic and Atmospheric Administration (NOAA), private forecasting companies (WindLogics and AWS Truepower), DOE national laboratories, grid operators, and universities. WFIP employed two avenues for improving wind power forecasts: first, through the collection of special observations to be assimilated into forecast models and, second, by upgrading NWP forecast models and ensembles. The new observations were collected during concurrent year-long field campaigns in two high wind energy resource areas of the United States (the upper Great Plains and Texas) and included 12 wind profiling radars, 12 sodars, several lidars and surface flux stations, 184 instrumented tall towers, and over 400 nacelle anemometers. Results demonstrate that a substantial reduction (12%?5% for forecast hours 1?12) in power RMSE was achieved from the combination of improved numerical weather prediction models and assimilation of new observations, equivalent to the previous decade?s worth of improvements found for low-level winds in NOAA/National Weather Service (NWS) operational weather forecast models. Data-denial experiments run over select periods of time demonstrate that up to a 6% improvement came from the new observations. Ensemble forecasts developed by the private sector partners also produced significant improvements in power production and ramp prediction. Based on the success of WFIP, DOE is planning follow-on field programs.
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      The Wind Forecast Improvement Project (WFIP): A Public–Private Partnership Addressing Wind Energy Forecast Needs

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4215695
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    contributor authorWilczak, James
    contributor authorFinley, Cathy
    contributor authorFreedman, Jeff
    contributor authorCline, Joel
    contributor authorBianco, Laura
    contributor authorOlson, Joseph
    contributor authorDjalalova, Irina
    contributor authorSheridan, Lindsay
    contributor authorAhlstrom, Mark
    contributor authorManobianco, John
    contributor authorZack, John
    contributor authorCarley, Jacob R.
    contributor authorBenjamin, Stan
    contributor authorCoulter, Richard
    contributor authorBerg, Larry K.
    contributor authorMirocha, Jeffrey
    contributor authorClawson, Kirk
    contributor authorNatenberg, Edward
    contributor authorMarquis, Melinda
    date accessioned2017-06-09T16:45:29Z
    date available2017-06-09T16:45:29Z
    date copyright2015/10/01
    date issued2014
    identifier issn0003-0007
    identifier otherams-73567.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215695
    description abstracthe Wind Forecast Improvement Project (WFIP) is a public?private research program, the goal of which is to improve the accuracy of short-term (0?6 h) wind power forecasts for the wind energy industry. WFIP was sponsored by the U.S. Department of Energy (DOE), with partners that included the National Oceanic and Atmospheric Administration (NOAA), private forecasting companies (WindLogics and AWS Truepower), DOE national laboratories, grid operators, and universities. WFIP employed two avenues for improving wind power forecasts: first, through the collection of special observations to be assimilated into forecast models and, second, by upgrading NWP forecast models and ensembles. The new observations were collected during concurrent year-long field campaigns in two high wind energy resource areas of the United States (the upper Great Plains and Texas) and included 12 wind profiling radars, 12 sodars, several lidars and surface flux stations, 184 instrumented tall towers, and over 400 nacelle anemometers. Results demonstrate that a substantial reduction (12%?5% for forecast hours 1?12) in power RMSE was achieved from the combination of improved numerical weather prediction models and assimilation of new observations, equivalent to the previous decade?s worth of improvements found for low-level winds in NOAA/National Weather Service (NWS) operational weather forecast models. Data-denial experiments run over select periods of time demonstrate that up to a 6% improvement came from the new observations. Ensemble forecasts developed by the private sector partners also produced significant improvements in power production and ramp prediction. Based on the success of WFIP, DOE is planning follow-on field programs.
    publisherAmerican Meteorological Society
    titleThe Wind Forecast Improvement Project (WFIP): A Public–Private Partnership Addressing Wind Energy Forecast Needs
    typeJournal Paper
    journal volume96
    journal issue10
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-14-00107.1
    journal fristpage1699
    journal lastpage1718
    treeBulletin of the American Meteorological Society:;2014:;volume( 096 ):;issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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