Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms
| Autor: | Sascha Schmidt, Marie Cathelain, Bibiana García Hevia, Laure Grignon, Bowen Li, Per Halkjær Nielsen, Pedro M. Fernandes Correia, W. Schlez, Fernando Borbón Guillén, Javier Sanz Rodrigo, David Pullinger, Sukanta Basu, Cédric Dall’Ozzo |
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| Přispěvatelé: | Centro Nacional de Energías Renovables - Fundación CENER-CIEMAT (CENER), ProPlanEn GmbH (PPE), 69120 Heidelberg, Germany, Delft University of Technology (TU Delft), EMD International A/S, IFP Energies nouvelles (IFPEN), EDF (EDF), Lloyd's Register Foundation (LRF) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
validation
History meso-wake 020209 energy Mesoscale meteorology 02 engineering and technology mesoscale Wake 7. Clean energy 01 natural sciences wakes 010305 fluids & plasmas Computer Science Applications Education Offshore wind power Open source SCADA 13. Climate action 0103 physical sciences [SDE]Environmental Sciences 0202 electrical engineering electronic engineering information engineering Environmental science open-source Marine engineering |
| Zdroj: | Journal of Physics: Conference Series Journal of Physics: Conference Series, IOP Publishing, 2020, 1618 (6), pp.062044. ⟨10.1088/1742-6596/1618/6/062044⟩ Journal of Physics: Conference Series, 1618 |
| ISSN: | 1742-6588 1742-6596 |
| DOI: | 10.1088/1742-6596/1618/6/062044⟩ |
| Popis: | International audience; The growing size of wind turbines and wind farms in the offshore environment, eventually occupying tens of kilometers and extending beyond 200 m in height, has challenged traditional wind farm models to incorporate larger atmospheric scales with greater influence from the full extent of the atmospheric boundary layer (ABL). The modeling system is subject to variability from mesoscale weather phenomena like land-sea transitions or farm-farm effects that produce horizontal gradients in the wind resource, as well as phenomena like low-level jets, gravity waves, etc, that modify the turbulence structure of the ABL as it interacts with the wind farm [1][2]. The transition to multi-scale wind farm modeling requires a systematic methodology that allows determining the relative importance of these effects in wind farm performance and the predictive capacity of models [3]. This is especially important for offshore wind developers that face significant financial and operational costs due touncertainties in wind resource assessment [4]. Understanding how these uncertainties originate from wind farm design tools is of fundamental importance to mitigate these losses. |
| Databáze: | OpenAIRE |
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