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Benchmarking of wind farm scale wake models in the EERA - DTOC project
Designing offshore wind farms next to existing or planned wind farm clusters has recently become a common practice in the North Sea. These types of projects face unprecedented challenges in term of wind energy siting. The currently ongoing European project FP7 EERA - DTOC (Design Tool for Offshore wind farm Clusters) is aiming at providing a new type of model work-flow to address this issue. The wake modeling part of the EERA - DTOC project is to improve the fundamental understanding of wind turbine wakes and modeling. One of these challenges is to create a new kind of wake modeling work-flow to combine wind farm (micro) and cluster (meso) scale wake models. For this purpose, a benchmark campaign is organized on the existing wind farm wake models available within the project, in order to identify which model would be the most appropriate for this coupling. A number of standardized wake cases for large offshore wind farms will be analyzed, which provide a reasonable range of conditions likely to be experienced in offshore wind farms. The systematic evaluation is based upon high - quality input data that is selected in the sister project IEA - Task 31 “WakeBench”.
Benchmarking of wind farm scale wake models in the EERA - DTOC project
Designing offshore wind farms next to existing or planned wind farm clusters has recently become a common practice in the North Sea. These types of projects face unprecedented challenges in term of wind energy siting. The currently ongoing European project FP7 EERA - DTOC (Design Tool for Offshore wind farm Clusters) is aiming at providing a new type of model work-flow to address this issue. The wake modeling part of the EERA - DTOC project is to improve the fundamental understanding of wind turbine wakes and modeling. One of these challenges is to create a new kind of wake modeling work-flow to combine wind farm (micro) and cluster (meso) scale wake models. For this purpose, a benchmark campaign is organized on the existing wind farm wake models available within the project, in order to identify which model would be the most appropriate for this coupling. A number of standardized wake cases for large offshore wind farms will be analyzed, which provide a reasonable range of conditions likely to be experienced in offshore wind farms. The systematic evaluation is based upon high - quality input data that is selected in the sister project IEA - Task 31 “WakeBench”.
Benchmarking of wind farm scale wake models in the EERA - DTOC project
Réthoré, Pierre-Elouan (author) / Hansen, Kurt Schaldemose (author) / Barthelmie, R.J. (author) / Pryor, S.C. (author) / Sieros, G. (author) / Prospathopoulos, J. (author) / Palma, J.M.L.M. (author) / Gomes, V.C. (author) / Schepers, G. (author) / Stuart, P. (author)
2013-01-01
Réthoré , P-E , Hansen , K S , Barthelmie , R J , Pryor , S C , Sieros , G , Prospathopoulos , J , Palma , J M L M , Gomes , V C , Schepers , G , Stuart , P , Young , T , Rodrigo , J S , Larsen , G C , Larsen , T J , Ott , S , Rathmann , O , Peña , A , Gaumond , M & Hasager , C B 2013 , Benchmarking of wind farm scale wake models in the EERA - DTOC project . in W Shen (ed.) , Proceedings of the 2013 International Conference on aerodynamics of Offshore Wind Energy Systems and wakes (ICOWES2013) . Technical University of Denmark , International Conference on aerodynamics of Offshore Wind Energy Systems and wakes (ICOWES 2013) , Lyngby , Denmark , 17/06/2013 .
Article (Journal)
Electronic Resource
English
DDC:
690
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