Title :
Distributions of Daily Extreme Winds and Wind Turbine Operation
Author :
Henry, David H. ; Johnson, Gary L.
Author_Institution :
Department of Statistics, Kansas State University, Manhattan, Kansas 66506
fDate :
6/1/1986 12:00:00 AM
Abstract :
Two statistical distributions are fitted to a set of extreme wind data and the Fisher-Tippett Type I is shown to be superior. Daily extremes are examined for their influence on wind turbine operation. Formulas are given for converting annual extreme wind statistics to daily or monthly extremes. A daily extreme of 40 mph is experienced about 1 day out of 10 and 56 mph about 1 day out of 100 at 50 m in Kansas.
Keywords :
Cities and towns; Floods; Generators; Power generation economics; Power industry; Statistical distributions; Velocity measurement; Wind energy generation; Wind speed; Wind turbines;
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.1986.4765710
