A parametric model for wind turbine power curves incorporating environmental conditions

RENEWABLE ENERGY

卷:157

Article

Saint-Drenan, Yves-Marie¹  Besseau, Romain¹  Jansen, Malte²  Staffell, Iain²  Troccoli, Alberto^4,5  Dubus, Laurent^3,5  Schmidt, Johannes⁶  Gruber, Katharina⁶  Simoes, Sofia G.⁷  Heier, Siegfried⁸ 

[1] PSL Res Univ, OIE Ctr Observat, MINES ParisTech, Impacts,Energy, F-06904 Sophia Antipolis, France

[2] Imperial Coll London, Ctr Environm Policy, London SW7 1NE, England

[3] DS, DRD, PES, RTE, Paris, France

[4] Univ East Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England

[5] World Energy & Meteorol Council WEMC, Norwich NR4 7TJ, Norfolk, England

[6] Univ Nat Resources & Life Sci, Inst Sustainable Econ Dev, A-1190 Vienna, Austria

[7] NOVA Univ Lisbon, NOVA Sch Sci & Technol, Ctr Environm & Sustainabil Res, CENSE, P-2829516 Caparica, Portugal

[8] Univ Kassel, Kassel, Germany

关键词: Wind turbine;    Power curve;    Parametric model;    Open-source model;    Model validation;   

DOI  :  10.1016/j.renene.2020.04.123

来源: Elsevier

【 摘 要 】

A wind turbine's power curve relates its power production to the wind speed it experiences. The typical shape of a power curve is well known and has been studied extensively. However, power curves of individual turbine models can vary widely from one another. This is due to both the technical features of the turbine (power density, cut-in and cut-out speeds, limits on rotational speed and aerodynamic efficiency), and environmental factors (turbulence intensity, air density, wind shear and wind veer). Data on individual power curves are often proprietary and only available through commercial databases. We therefore develop an open-source model for pitch regulated horizontal axis wind turbine which can generate the power curve of any turbine, adapted to the specific conditions of any site. This can employ one of six parametric models advanced in the literature, and accounts for the eleven variables mentioned above. The model is described, the impact of each technical and environmental feature is examined, and it is then validated against the manufacturer power curves of 91 turbine models. Versions of the model are made available in MATLAB, R and Python code for the community. Crown Copyright (C) 2020 Published by Elsevier Ltd. All rights reserved.

【 授权许可】

Free