Probability distribution functions, mean upcrossing rates and other descriptors are developed for the power that can be potentially extracted from the wind. Wind power is proportional to the cube of the wind velocity. The wind velocity is modeled as a stationary Gaussian process. The distribution of the extreme power is developed from mean upcrossing rates and the assumption that crossings of high thresholds follow a Poisson probability law. The results obtained are valid for any amount of the mean wind speed.

Issue Section:
Research Papers
Topics:
Statistics, Wind power, Wind velocity, Probability, Statistical distributions, Wind
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Copyright © 1990
 by The American Society of Mechanical Engineers
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