Learning to forecast wind at remote sites for wind energy applications. Final report Metadata

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Title

  • Main Title Learning to forecast wind at remote sites for wind energy applications. Final report

Creator

  • Author: Notis, C.
    Creator Type: Personal
  • Author: Trettel, D. W.
    Creator Type: Personal
  • Author: Aquino, J. T.
    Creator Type: Personal
  • Author: Piazza, T. R.
    Creator Type: Personal
  • Author: Taylor, L. E.
    Creator Type: Personal
  • Author: Trask, D. C.
    Creator Type: Personal
  • Author: Wegley, H. L.
    Creator Type: Personal
  • Author: Miller, A. H.
    Creator Type: Personal

Publisher

  • Name: Pacific Northwest Laboratory
    Place of Publication: Richland, Washington

Date

  • Creation: 1983-01-01

Language

  • English

Description

  • Content Description: Observed wind patterns are correlated with synoptic or mescoscale weather systems. Six sites selected for analysis include Montauk Point, New York; Boone, North Carolina; Ludington, Michigan; Clayton, New Mexico; Amarillo, Texas; and San Gorgonio Pass, California. Objectives of the analysis are: to identify synoptic and/or mesoscale weather patterns that are associated with recognizable wind events at the sites; to define a set of criteria that uniquely describes such weather patterns; to estimate the reliability (accuracy) of forecasting rules derived from the association of weather patterns and site winds; and to attempt to separate any mesoscale effects of local topography from the synoptic-scale effects. One-to-one mapping of wind regimes onto synoptic types was not found. It was concluded that four factors should be examined when stratifying wind regimes: synoptic situation, descriptive climatology, pressure gradient vector, and winds aloft. The wind forecasting approach developed was intended for forecasting hourly average winds out to the 24 hour or possibly 36 hour time horizon. (LEW)

Subject

  • Keyword: Forecasting
  • Keyword: Federal Region Ix
  • Keyword: Federal Region Iv
  • Keyword: Pressure Gradients
  • Keyword: Correlations
  • Keyword: Michigan
  • Keyword: Meteorology
  • Keyword: North Carolina
  • Keyword: Usa 170604* -- Wind Energy Engineering-- Site Characteristics
  • Keyword: Federal Region V
  • Keyword: New York
  • Keyword: North America
  • Keyword: New Mexico
  • Keyword: California
  • Keyword: Federal Region Ii
  • Keyword: Velocity
  • Keyword: Federal Region Vi
  • STI Subject Categories: 17 Wind Energy
  • Keyword: Texas
  • Keyword: Accuracy
  • Keyword: Wind

Source

  • Other Information: Portions are illegible in microfiche products. Original copy available until stock is exhausted

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Report

Format

  • Text

Identifier

  • Other: DE83008756
  • Report No.: PNL-4318
  • Grant Number: AC06-76RL01830
  • DOI: 10.2172/6121231
  • Office of Scientific & Technical Information Report Number: 6121231
  • Archival Resource Key: ark:/67531/metadc1112212

Note

  • Display Note: NTIS, PC A11/MF A01; 1.
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