Articles | Volume 8, issue 11
https://doi.org/10.5194/gmd-8-3715-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-3715-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The Explicit Wake Parametrisation V1.0: a wind farm parametrisation in the mesoscale model WRF
Wind Energy Department, Technical University of Denmark, Risø Campus, Roskilde, Denmark
J. Badger
Wind Energy Department, Technical University of Denmark, Risø Campus, Roskilde, Denmark
A. N. Hahmann
Wind Energy Department, Technical University of Denmark, Risø Campus, Roskilde, Denmark
Wind Energy Department, Technical University of Denmark, Risø Campus, Roskilde, Denmark
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Cited
75 citations as recorded by crossref.
- Computation and Analysis of an Offshore Wind Power Forecast: Towards a Better Assessment of Offshore Wind Power Plant Aerodynamics Y. Zhao et al. 10.3390/en15124223
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- Data-driven fluid mechanics of wind farms: A review N. Zehtabiyan-Rezaie et al. 10.1063/5.0091980
- An improved wind farm parametrization for inhomogeneous inflow M. Van Der Laan et al. 10.1088/1742-6596/2767/9/092010
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- Incorporation of the Rotor-Equivalent Wind Speed into the Weather Research and Forecasting Model’s Wind Farm Parameterization S. Redfern et al. 10.1175/MWR-D-18-0194.1
- Climatic Impacts of Wind-Wave-Wake Interactions in Offshore Wind Farms J. Fischereit et al. 10.3389/fenrg.2022.881459
- Wind power forecasting for a real onshore wind farm on complex terrain using WRF high resolution simulations M. Prósper et al. 10.1016/j.renene.2018.12.047
- Simulating wake losses of the Danish Energy Island wind farm cluster M. van der Laan et al. 10.1088/1742-6596/2505/1/012015
- Faster wind farm AEP calculations with CFD using a generalized wind turbine model M. van der Laan et al. 10.1088/1742-6596/2265/2/022030
- One‐way mesoscale‐microscale coupling for simulating a wind farm in North Texas: Assessment against SCADA and LiDAR data C. Santoni et al. 10.1002/we.2452
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- Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage R. Arthur et al. 10.3390/atmos11030245
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- Sensitivity of Wind Turbine Array Downstream Effects to the Parameterization Used in WRF T. Shepherd et al. 10.1175/JAMC-D-19-0135.1
- Wind power production from very large offshore wind farms S. Pryor et al. 10.1016/j.joule.2021.09.002
- Wind Dynamics Over a Highly Heterogeneous Oasis Area: An Experimental and Numerical Study R. Liu et al. 10.1029/2018JD028397
- Can mesoscale models capture the effect from cluster wakes offshore? M. Gomez et al. 10.1088/1742-6596/2767/6/062013
- Effect of Wind Turbine Wakes on the Performance of a Real Case WRF-LES Simulation P. Doubrawa et al. 10.1088/1742-6596/854/1/012010
- A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling M. van der Laan et al. 10.5194/wes-8-819-2023
- Performance of the Wind Farm Parameterization Scheme Coupled with the Weather Research and Forecasting Model under Multiple Resolution Regimes for Simulating an Onshore Wind Farm R. Mangara et al. 10.1007/s00376-018-8028-3
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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
- Review of Mesoscale Wind-Farm Parametrizations and Their Applications J. Fischereit et al. 10.1007/s10546-021-00652-y
- A linearized numerical model of wind-farm flows R. Ebenhoch et al. 10.1002/we.2067
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- Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1) S. Siedersleben et al. 10.5194/gmd-13-249-2020
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- The Influence of Real‐World Wind Turbine Deployments on Local to Mesoscale Climate S. Pryor et al. 10.1029/2017JD028114
- Analytical Model for Mean Flow and Fluxes of Momentum and Energy in Very Large Wind Farms C. Markfort et al. 10.1007/s10546-017-0294-6
67 citations as recorded by crossref.
- Computation and Analysis of an Offshore Wind Power Forecast: Towards a Better Assessment of Offshore Wind Power Plant Aerodynamics Y. Zhao et al. 10.3390/en15124223
- A Hybrid Wind-Farm Parametrization for Mesoscale and Climate Models Y. Pan & C. Archer 10.1007/s10546-018-0351-9
- Impact of offshore wind farms on a tropical depression through the amplification effect by the downstream mountainous terrain S. Deng et al. 10.1016/j.atmosres.2023.107047
- 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
- Data-driven fluid mechanics of wind farms: A review N. Zehtabiyan-Rezaie et al. 10.1063/5.0091980
- An improved wind farm parametrization for inhomogeneous inflow M. Van Der Laan et al. 10.1088/1742-6596/2767/9/092010
- An Analytical Model for the Regeneration of Wind after Exiting a Wind Farm B. Fiedler 10.3390/en11082071
- Incorporation of the Rotor-Equivalent Wind Speed into the Weather Research and Forecasting Model’s Wind Farm Parameterization S. Redfern et al. 10.1175/MWR-D-18-0194.1
- Climatic Impacts of Wind-Wave-Wake Interactions in Offshore Wind Farms J. Fischereit et al. 10.3389/fenrg.2022.881459
- Wind power forecasting for a real onshore wind farm on complex terrain using WRF high resolution simulations M. Prósper et al. 10.1016/j.renene.2018.12.047
- Simulating wake losses of the Danish Energy Island wind farm cluster M. van der Laan et al. 10.1088/1742-6596/2505/1/012015
- Faster wind farm AEP calculations with CFD using a generalized wind turbine model M. van der Laan et al. 10.1088/1742-6596/2265/2/022030
- One‐way mesoscale‐microscale coupling for simulating a wind farm in North Texas: Assessment against SCADA and LiDAR data C. Santoni et al. 10.1002/we.2452
- Application of the Townsend–George theory for free shear flows to single and double wind turbine wakes – a wind tunnel study I. Neunaber et al. 10.5194/wes-7-201-2022
- Wakes in and between very large offshore arrays S. Pryor et al. 10.1088/1742-6596/2265/2/022037
- Simulating impacts of real-world wind farms on land surface temperature using the WRF model: physical mechanisms G. Xia et al. 10.1007/s00382-019-04725-0
- A One‐Year‐Long Evaluation of a Wind‐Farm Parameterization in HARMONIE‐AROME B. van Stratum et al. 10.1029/2021MS002947
- Multi-Scale Simulation of Wind Farm Performance during a Frontal Passage R. Arthur et al. 10.3390/atmos11030245
- Emergence of Large-Scale Hydrodynamic Structures Due to Atmospheric Offshore Wind Farm Wakes N. Christiansen et al. 10.3389/fmars.2022.818501
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- Wind Farm Wake: The 2016 Horns Rev Photo Case C. Hasager et al. 10.3390/en10030317
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- Sensitivity of Wind Turbine Array Downstream Effects to the Parameterization Used in WRF T. Shepherd et al. 10.1175/JAMC-D-19-0135.1
- Wind power production from very large offshore wind farms S. Pryor et al. 10.1016/j.joule.2021.09.002
- Wind Dynamics Over a Highly Heterogeneous Oasis Area: An Experimental and Numerical Study R. Liu et al. 10.1029/2018JD028397
- Can mesoscale models capture the effect from cluster wakes offshore? M. Gomez et al. 10.1088/1742-6596/2767/6/062013
- Effect of Wind Turbine Wakes on the Performance of a Real Case WRF-LES Simulation P. Doubrawa et al. 10.1088/1742-6596/854/1/012010
- A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling M. van der Laan et al. 10.5194/wes-8-819-2023
- Performance of the Wind Farm Parameterization Scheme Coupled with the Weather Research and Forecasting Model under Multiple Resolution Regimes for Simulating an Onshore Wind Farm R. Mangara et al. 10.1007/s00376-018-8028-3
- A parameterization scheme for the floating wind farm in a coupled atmosphere–wave model (COAWST v3.7) S. Deng et al. 10.5194/gmd-17-4891-2024
- Why the Coriolis force turns a wind farm wake clockwise in the Northern Hemisphere M. van der Laan & N. Sørensen 10.5194/wes-2-285-2017
- Evaluation of the wind farm parameterization in the Weather Research and Forecasting model (version 3.8.1) with meteorological and turbine power data J. Lee & J. Lundquist 10.5194/gmd-10-4229-2017
- Applications of satellite winds for the offshore wind farm site Anholt T. Ahsbahs et al. 10.5194/wes-3-573-2018
- Seasonal variability of wake impacts on US mid-Atlantic offshore wind plant power production D. Rosencrans et al. 10.5194/wes-9-555-2024
- 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
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- 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
- Comparison of individual versus ensemble wind farm parameterizations inclusive of sub‐grid wakes for the WRF model Y. Ma et al. 10.1002/we.2758
- Recovery processes in coastal wind farms under sea-breeze conditions T. Gupta & S. Baidya Roy 10.5194/adgeo-56-129-2021
- 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
- Simulating the Impacts of Wind Farm Wake under the Changes in MYNN Planetary Boundary Layer Scheme in High Resolution Weather Research and Forecasting Model T. Kaytancı et al. 10.3390/atmos13111838
- 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
- Investigation of wind farm impacts on surface waves using coupled numerical simulations X. Larsén et al. 10.1016/j.renene.2024.121671
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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
- Review of Mesoscale Wind-Farm Parametrizations and Their Applications J. Fischereit et al. 10.1007/s10546-021-00652-y
- A linearized numerical model of wind-farm flows R. Ebenhoch et al. 10.1002/we.2067
- Boundary-layer development and gravity waves in conventionally neutral wind farms D. Allaerts & J. Meyers 10.1017/jfm.2017.11
- First in situ evidence of wakes in the far field behind offshore wind farms A. Platis et al. 10.1038/s41598-018-20389-y
- The Jensen wind farm parameterization Y. Ma et al. 10.5194/wes-7-2407-2022
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- Investigating energy production and wake losses of multi-gigawatt offshore wind farms with atmospheric large-eddy simulation P. Baas et al. 10.5194/wes-8-787-2023
- 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
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- Bias correction of wind power forecasts with SCADA data and continuous learning S. Jonas et al. 10.1088/1742-6596/2767/9/092061
- Mesoscale to microscale wind farm flow modeling and evaluation J. Sanz Rodrigo et al. 10.1002/wene.214
- Tropical cyclone low-level wind speed, shear, and veer: sensitivity to the boundary layer parametrization in the Weather Research and Forecasting model S. Müller et al. 10.5194/wes-9-1153-2024
- Impact of ocean waves on offshore wind farm power production S. Porchetta et al. 10.1016/j.renene.2021.08.111
8 citations as recorded by crossref.
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- “Wind Theft” from Onshore Wind Turbine Arrays: Sensitivity to Wind Farm Parameterization and Resolution S. Pryor et al. 10.1175/JAMC-D-19-0235.1
- The effects of Open Cellular Convection on Wind Farm Operation and Wakes T. Göçmen et al. 10.1088/1742-6596/1618/6/062014
- Diagnosing systematic differences in predicted wind turbine array-array interactions S. Pryor et al. 10.1088/1742-6596/1618/6/062023
- Predicting wind farm wake interaction with RANS: an investigation of the Coriolis force M. van der Laan et al. 10.1088/1742-6596/625/1/012026
- Recovery processes in a large offshore wind farm T. Gupta & S. Baidya Roy 10.5194/wes-6-1089-2021
- The Influence of Real‐World Wind Turbine Deployments on Local to Mesoscale Climate S. Pryor et al. 10.1029/2017JD028114
- Analytical Model for Mean Flow and Fluxes of Momentum and Energy in Very Large Wind Farms C. Markfort et al. 10.1007/s10546-017-0294-6
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Latest update: 15 Nov 2024
Short summary
We introduce the Explicit Wake Parametrisation (EWP) for wind farms in mesoscale models that accounts
for the wake expansion within a turbine-containing cell. In the EWP approach, turbulence kinetic energy (TKE) production results from changes in vertical shear. The velocity recovery compares well to mast data downstream of the offshore wind farm Horns Rev I. The vertical structure of the TKE and the velocity profile are qualitatively similar to that simulated with large eddy simulations.
We introduce the Explicit Wake Parametrisation (EWP) for wind farms in mesoscale models that...