Articles | Volume 7, issue 3
Research article
02 Jun 2022
Research article |  | 02 Jun 2022

Evaluation of obstacle modelling approaches for resource assessment and small wind turbine siting: case study in the northern Netherlands

Caleb Phillips, Lindsay M. Sheridan, Patrick Conry, Dimitrios K. Fytanidis, Dmitry Duplyakin, Sagi Zisman, Nicolas Duboc, Matt Nelson, Rao Kotamarthi, Rod Linn, Marc Broersma, Timo Spijkerboer, and Heidi Tinnesand

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Validation of wind resource and energy production simulations for small wind turbines in the United States
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Cited articles

Astroup, P. and Larsen, S. E.: WAsP Engineering Flow Model for Wind over Land and Sea, Riso National Laboratory, Roskilde, Denmark, ISBN 87-550-2529-3, August 1999. 
Bieringer, P. E., Piña, A. J., Lorenzetti, D. M., Jonker, H. J. J., Sohn, M. D., Annunziao, A. J., and Fry, R. N.: A graphics processing unit (GPU) approach to large eddy simulation (LES) for transport and contaminant dispersion, Atmosphere, 12, 890,, 2021. 
Brown, M., Gowardhan, A., Nelson, M., Williams, M., and Pardyjak, E.: QUIC transport and dispersion modelling of two releases from the joint urban 2003 field experiment, Int. J. Environ. Pollut., 52, 263–287, 2013. 
Bruse, M. and Fleer, H.: Simulating surface–plant–air interactions inside urban environment with a three dimensional numerical model, Environ. Model. Softw., 13, 373–384,, 1998. 
Short summary
Adoption of distributed wind turbines for energy generation is hindered by challenges associated with siting and accurate estimation of the wind resource. This study evaluates classic and commonly used methods alongside new state-of-the-art models derived from simulations and machine learning approaches using a large dataset from the Netherlands. We find that data-driven methods are most effective at predicting production at real sites and new models reliably outperform classic methods.
Final-revised paper