Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3141-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-3141-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Wind Energy Department, Technical University of Denmark, Frederiksborgvej 399, Building 125, 4000 Roskilde, Denmark
Jana Fischereit
Wind Energy Department, Technical University of Denmark, Frederiksborgvej 399, Building 125, 4000 Roskilde, Denmark
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- Impacts of offshore wind farms on the atmospheric environment over Taiwan Strait during an extreme weather typhoon event T. Lee et al. 10.1038/s41598-022-04807-w
- Review of Mesoscale Wind-Farm Parametrizations and Their Applications J. Fischereit et al. 10.1007/s10546-021-00652-y
- Wakes in and between very large offshore arrays S. Pryor et al. 10.1088/1742-6596/2265/2/022037
- Wind Farm Blockage Revealed by Fog: The 2018 Horns Rev Photo Case C. Hasager et al. 10.3390/en16248014
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- 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 X. Larsén & J. Fischereit 10.5194/gmd-14-3141-2021
23 citations as recorded by crossref.
- Estimating the technical wind energy potential of Kansas that incorporates the effect of regional wind resource depletion by wind turbines J. Minz et al. 10.5194/wes-9-2147-2024
- Climatic Impacts of Wind-Wave-Wake Interactions in Offshore Wind Farms J. Fischereit et al. 10.3389/fenrg.2022.881459
- Investigation of wind farm impacts on surface waves using coupled numerical simulations X. Larsén et al. 10.1016/j.renene.2024.121671
- Predictive Capability of WRF Cycling 3DVAR: LiDAR Assimilation at FINO1 M. Bakhoday-Paskyabi & M. Flügge 10.1088/1742-6596/2018/1/012006
- The sensitivity of the Fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme A. Rybchuk et al. 10.5194/wes-7-2085-2022
- Machine Learning and Deterministic Methods for Detection Meteorological Phenomena from Ground Measurements: Application for Low-Level Jet and Sea-Breeze Identification in Northern France S. Roy et al. 10.3390/atmos13111873
- Evaluation of wind farm parameterizations in the WRF model under different atmospheric stability conditions with high-resolution wake simulations O. García-Santiago et al. 10.5194/wes-9-963-2024
- Power Production, Inter- and Intra-Array Wake Losses from the U.S. East Coast Offshore Wind Energy Lease Areas S. Pryor & R. Barthelmie 10.3390/en17051063
- A Linear Theory of Wind Farm Efficiency and Interaction R. Smith 10.1175/JAS-D-22-0009.1
- Potential Influence of Offshore Wind Farms on the Marine Stratification in the Waters Adjacent to China Z. Lian et al. 10.3390/jmse10121872
- Comparing and validating intra-farm and farm-to-farm wakes across different mesoscale and high-resolution wake models J. Fischereit et al. 10.5194/wes-7-1069-2022
- Mesoscale weather systems and associated potential wind power variations in a midlatitude sea strait (Kattegat) J. Neirynck et al. 10.5194/wes-9-1695-2024
- Modelling wind farm effects in HARMONIE–AROME (cycle 43.2.2) – Part 1: Implementation and evaluation J. Fischereit et al. 10.5194/gmd-17-2855-2024
- Recovery processes in coastal wind farms under sea-breeze conditions T. Gupta & S. Baidya Roy 10.5194/adgeo-56-129-2021
- Wind shadows impact planning of large offshore wind farms S. Pryor & R. Barthelmie 10.1016/j.apenergy.2024.122755
- Assessment of Numerical Forecasts for Hub-Height Wind Resource Parameters during an Episode of Significant Wind Speed Fluctuations J. Mo et al. 10.3390/atmos15091112
- Evaluation of two mesoscale wind farm parametrisations with offshore tall masts O. Garcia-Santiago et al. 10.1088/1742-6596/2265/2/022038
- Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling B. Cañadillas et al. 10.5194/wes-7-1241-2022
- Mesoscale modelling of North Sea wind resources with COSMO-CLM: model evaluation and impact assessment of future wind farm characteristics on cluster-scale wake losses R. Borgers et al. 10.5194/wes-9-697-2024
- Impacts of offshore wind farms on the atmospheric environment over Taiwan Strait during an extreme weather typhoon event T. Lee et al. 10.1038/s41598-022-04807-w
- Review of Mesoscale Wind-Farm Parametrizations and Their Applications J. Fischereit et al. 10.1007/s10546-021-00652-y
- Wakes in and between very large offshore arrays S. Pryor et al. 10.1088/1742-6596/2265/2/022037
- Wind Farm Blockage Revealed by Fog: The 2018 Horns Rev Photo Case C. Hasager et al. 10.3390/en16248014
2 citations as recorded by crossref.
- Implementation of a Simple Actuator Disk for Large-Eddy Simulation in the Weather Research and Forecasting Model (WRF-SADLES v1.2) for wind turbine wake simulation H. Bui et al. 10.5194/gmd-17-4447-2024
- 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 X. Larsén & J. Fischereit 10.5194/gmd-14-3141-2021
Latest update: 23 Nov 2024
Short summary
For the first time, turbulent kinetic energy (TKE) calculated from the explicit wake parameterization (EWP) in WRF is examined using high-frequency measurements over a wind farm and compared with that calculated using the Fitch et al. (2012) scheme. We examined the effect of farm-induced TKE advection in connection with the Fitch scheme. Through a case study with a low-level jet (LLJ), we analyzed the key features of LLJs and raised the issue of interaction between wind farms and LLJs.
For the first time, turbulent kinetic energy (TKE) calculated from the explicit wake...