Do offshore wind farms weaken or enhance surface wind and wave fields?
Authors: Larsén Xiaoli , Fischereit Jana , Bärfuss Konrad , Lampert Astrid 
Published: March 2024

Over the North Sea, larger and larger part of the water surface is being covered by wind farms. Studies have shown consistent results regarding farm wake effects at hub height, characteristic of reduced wind speed and enhanced turbulence. Close to water surface, published studies using both measurements and modeling have suggested enhanced wind speeds sometimes, and reduced wind speeds some other times. Hence, this study investigates the research question: Do offshore wind farms weaken or enhance surface wind and wave fields?We use the mesoscale atmosphere-wave-wake coupled modeling system that consists of the Weather Research and Forecast (WRF) model, Spectral Wave Nearshore (SWAN) model with the wave boundary-layer model (Du et al. 2017, Fischereit et al. 2022). We use the Fitch Wind Farm Parameterization scheme (Fitch et al. 2012), with four coefficients for the advection of the wind farm-generated Turbulence Kinetic Energy (TKE): a = 1, 0.25, 0.1 and 0, corresponding to larger and larger TKE advection. The model is used together with flight measurements of wind fields upwind, above and downwind of offshore wind farms, collected during the project WIPAFF (B&#228;rfuss et al. 2019, Lampert et al. 2020). We use two case studies, one following B&#228;rfuss et al. (2021) (with fetch effect) and one following Lars&#233;n and Fischereit (2021) (without fetch effect).&#160;There is no evidence of generally enhanced surface winds and waves in the presence of wind farms. Enhanced surface winds and waves can however be generated numerically when using e.g. a = 1, as a result of numerical distribution of excessive TKE and momentum generated at hub height down to the surface. The study suggests that the wake effect is rather sensitive to the value of a, regarding both horizontal and vertical distribution from the hub height. Measurements are needed to understand the distribution of turbine-generated TKE and to help defining a- value for specific conditions.References:B&#228;rfuss, et al. 2019: In-situ airborne measurements of atmospheric and sea surface parameters related to offshore wind parks in the German Bight,&#160; https://doi.pangaea.de/10.1594/PANGAEA.902845, 2019.B&#228;rfuss et al. 2021: The Impact of OffshoreWind Farms on Sea State Demonstrated by Airborne LiDAR Measurements. J. Mar. Sci. Eng. &#160;9, 644. https://doi.org/10.3390/jmse9060644Du J., Bola&#241;os R. and Lars&#233;n X. 2017: The use of a wave boundary layer model in SWAN. J. Geophys. Res.:Oceans. DOI: 10.1002/2016JC012104, vol. 122, No 1, p42 - 62.Fischereit, J., Lars&#233;n, X.G. and Hahmann A. 2022: Climate impacts of wind-wave-wake interactions in offshore wind farms. Frontier Energy Res. doi: 10.3389/fenrg.2022.881459. Vol. 10., 881459.Fitch et al. 2012: Local and Mesoscale Impacts of Wind Farms as Parameterized in a Mesoscale NWP Model, Mon. Weather Rev., 140, 3017&#8211;3038, https://doi.org/10.1175/MWRD-11-00352.1.Lampert et al. 2020: In-situ airborne measurements of atmospheric and sea surface parameters related to offshore wind parks in the German Bight, Earth Syst. Sci. Data, 12, 935&#8211;946.Lars&#233;n X. and Fischereit J. 2021: A case study of wind farm effects using two wake parameterizations in the Weather Research and Forecasting (WRF) model (V3.7.1) in the presence of low-level jets. Geo. Mod. Dev., 14(5), 3141-3158. https://doi.org/10.5194/gmd-14-3141-202