Articles | Volume 6, issue 2
Wind Energ. Sci., 6, 311–365, 2021
Wind Energ. Sci., 6, 311–365, 2021
Review article
05 Mar 2021
Review article | 05 Mar 2021

An overview of wind-energy-production prediction bias, losses, and uncertainties

Joseph C. Y. Lee and M. Jason Fields

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OpenOA: An Open-Source Code Base for Operational Analysis of Wind Power Plants
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Preprint withdrawn
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Cited articles

Abascal, A., Herrero, M., Torrijos, M., Dumont, J., Álvarez, M., and Casso, P.: An approach for estimating energy losses due to ice in pre-construction energy assessments, in: WindEurope 2019, WindEurope, Bilbao, Spain, 2019. 
Abiven, C., Brady, O., and Triki, I.: Mesoscale and CFD Coupling for Wind Resource Assessment, in: AWEA Wind Resource and Project Energy Assessment Workshop 2013, AWEA, Las Vegas, NV, 2013. 
Abiven, C., Parisse, A., Watson, G., and Brady, O.: CFD Wake Modeling: Where Do We Stand?, in: AWEA Wind Resource and Project Energy Assessment Workshop 2014, AWEA, Orlando, FL, 2014. 
Albers, A., Klug, H., and Westermann, D.: Outdoor Comparison of Cup Anemometers, in: German wind energy conference, DEWEK 2000, Wilhelmshaven, Germany, p. 5, 2000. 
Short summary
This review paper evaluates the energy prediction bias in the wind resource assessment process, and the overprediction bias is decreasing over time. We examine the estimated and observed losses and uncertainties in energy production from the literature, according to the proposed framework in the International Electrotechnical Commission 61400-15 standard. The considerable uncertainties call for further improvements in the prediction methodologies and more observations for validation.