| one publication added to basket [353183] | Impact of ocean waves on offshore wind farm power production
In: Renewable Energy. Elsevier: Oxford. ISSN 0960-1481; e-ISSN 1879-0682, meer
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| Author keywords |
Offshore wind farms; Power production; Mesoscale coupled atmosphere-wave model; Wind energy; Wind-wave interaction |
| Auteurs | | Top |
- Porchetta, S., meer
- Muñoz-Esparza, D.
- Munters, W., meer
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- van Beeck, J., meer
- van Lipzig, N.P.M.
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| Abstract |
Offshore wind energy has seen a steady increase in the latest years as it serves as an ideal alternative energy source to meet our renewable energy goals. Due to this increase in interest and in installations of offshore wind farms a better understanding of the impact of waves on the power production of wind farms in necessary. This wave-wind farm power production interaction has scarcely been examined, however, some exceptions of small scale large-eddy-simulations exist. Unfortunately, these studies are not able to take multiple wind farms under real weather conditions into account. Here, we show the power production and wake lengths of 1250 offshore wind turbines located in the German Bight simulated by a stand-alone atmospheric (WRF) model and a coupled atmosphere-wave (WRF-SWAN) model. The coupled atmosphere-wave model estimates larger (smaller) power production in case of waves and wind traveling in the same (opposed) direction compared to the stand-alone atmospheric model. The relative difference between the two models can be as much as 20% for the two-week averaged grid power production, while the difference in total power over this two-week period is equal to 9%. Moreover, the wind farm wake lengths of waves and wind traveling in the same (opposed) direction are longer (shorter) for the coupled atmosphere-wave model compared to the stand-alone atmospheric model. Here, the relative difference of the mean wake length between the two models can be up to 25%. This shows the importance of waves as a part of the offshore wind environment and can be an important factor in future wind assessment or power production estimation studies. |
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