A parametric model for wind turbine power curves incorporating environmental conditions

Saint-Drenan, Yves-Marie, Besseau, Romain, Jansen, Malte, Staffell, Iain, Troccoli, Alberto, Dubus, Laurent, Schmidt, Johannes, Gruber, Katharina, Simões, Sofia G. and Heier, Siegfried (2020) A parametric model for wind turbine power curves incorporating environmental conditions. Renewable Energy, 157. pp. 754-768. ISSN 0960-1481

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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.

Item Type: Article
Additional Information: Acknowledgements: The authors would like to acknowledge the thewindpower.net [44] team for the compilation and regularly update of their wind turbine and power curve database. This work has been partly conducted in the framework of the Copernicus C3S energy and ERANET CLIM2POWER projects. Copernicus Climate Change Service (C3S) is a programme being implemented by the European Centre for Medium-Range Weather Forecasts (ECMWF) on behalf of the European Commission. The project CLIM2POWER is part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (SE), BMBF (DE), BMWFW (AT), FCT (PT), EPA (IE), ANR (FR) with co-funding by the European Union (Grant 690462). Malte Jansen and Iain Staffell were funded by the Engineering and Physical Sciences Research Council through the IDLES programme (EP/R045518/1). CENSE is funded by the Portuguese Foundation for Science and Technology through the strategic project UID/AMB/04085/2013 .
Uncontrolled Keywords: model validation,open-source model,parametric model,power curve,wind turbine,renewable energy, sustainability and the environment ,/dk/atira/pure/subjectarea/asjc/2100/2105
Faculty \ School: Faculty of Science > School of Environmental Sciences
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Depositing User: LivePure Connector
Date Deposited: 20 May 2020 00:14
Last Modified: 22 Oct 2022 06:12
URI: https://ueaeprints.uea.ac.uk/id/eprint/75253
DOI: 10.1016/j.renene.2020.04.123


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