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

The Wind Forecast Improvement Project (WFIP) is a public-private research program, the goals of which are to improve the accuracy of short-term (0-6 hr) wind power forecasts for the wind energy industry and then to quantify the economic savings that accrue from more efficient integration of wind energy into the electrical grid. WFIP was sponsored by the U.S. Department of Energy (DOE), with partners that include 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 to improve model initial conditions; 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 U.S. (the upper Great Plains, and Texas), and included 12 wind profiling radars, 12 sodars, 184 instrumented tall towers and over 400 nacelle anemometers (provided by private industry), lidar, and several surface flux stations. Results demonstrate that a substantial improvement of up to 14% relative reduction in power root mean square error (RMSE) was achieved from the combinationmore » of improved NOAA numerical weather prediction (NWP) models and assimilation of the new observations. Data denial experiments run over select periods of time demonstrate that up to a 6% relative improvement came from the new observations. The use of ensemble forecasts produced even larger forecast improvements. Based on the success of WFIP, DOE is planning follow-on field programs.« less
 [1] ;  [2] ;  [3] ;  [4] ;  [5] ;  [5] ;  [5] ;  [2] ;  [2] ;  [6] ;  [6] ;  [7] ;  [1] ;  [8] ;  [9] ;  [10] ;  [11] ;  [6] ;  [1]
  1. NOAA, Boulder, CO (United States)
  2. WindLogics, Inc., St. Paul, MN (United States)
  3. AWS Truepower, Albany, NY (United States)
  4. USDOE Office of Energy Efficiency and Renewable Energy, Washington, DC (United States)
  5. Univ. of Colorado, Boulder, CO (United States)
  6. Meso, Inc., Troy, NY (United States)
  7. National Oceanic and Atmospheric Administration (NOAA), College Park, MD (United States)
  8. Argonne National Lab. (ANL), Lemont, IL (United States)
  9. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  10. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  11. National Oceanic and Atmospheric Administration (NOAA), Idaho Falls, ID (United States)
Publication Date:
OSTI Identifier:
Report Number(s):
Journal ID: ISSN 0003-0007; EB2502010
DOE Contract Number:
Resource Type:
Journal Article
Resource Relation:
Journal Name: Bulletin of the American Meteorological Society; Journal Volume: 96; Journal Issue: 10
American Meteorological Society
Research Org:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org:
Country of Publication:
United States