Errors in wind resource and energy yield assessments based on the Weibull distribution
Bénédicte Jourdierand Philippe Drobinski
Bénédicte Jourdier
LMD/IPSL, École polytechnique, Université Paris Saclay, ENS, PSL Research University, Sorbonne
Universités,
UPMC Univ Paris 06, CNRS, Palaiseau, France
French Environment and Energy Management Agency (ADEME), Angers, France
Now at: EDF R&D – MFFE, Applied Meteorology Group, Chatou, France
LMD/IPSL, École polytechnique, Université Paris Saclay, ENS, PSL Research University, Sorbonne
Universités,
UPMC Univ Paris 06, CNRS, Palaiseau, France
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Wind resource assessments often rely on models of wind-speed statistics using a Weibull distribution. This study shows how its use impacts the prediction of the wind energy content and the power output. Three methods for fitting the Weibull distribution are tested (maximum likelihood, moments and WAsP). The first two methods overestimate the production up to 5 %. The WAsP method always produces errors lower than 2 %. A Rayleigh–Rice distribution is also tested and shows even better skill.
Wind resource assessments often rely on models of wind-speed statistics using a Weibull...
