Model evaluation paper
23 Nov 2017
Model evaluation paper
| 23 Nov 2017
Evaluation of the wind farm parameterization in the Weather Research and Forecasting model (version 3.8.1) with meteorological and turbine power data
Joseph C. Y. Lee and Julie K. Lundquist
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Cited
29 citations as recorded by crossref.
- A multiscale numerical framework coupled with control strategies for simulating a wind farm in complex terrain Q. Wang et al. 10.1016/j.energy.2020.117913
- Spatial constraints in large-scale expansion of wind power plants E. Antonini & K. Caldeira 10.1073/pnas.2103875118
- The Second Wind Forecast Improvement Project (WFIP2): Observational Field Campaign J. Wilczak et al. 10.1175/BAMS-D-18-0035.1
- The Second Wind Forecast Improvement Project (WFIP2): General Overview W. Shaw et al. 10.1175/BAMS-D-18-0036.1
- Grand challenges in the science of wind energy P. Veers et al. 10.1126/science.aau2027
- Sensitivity of Wind Turbine Array Downstream Effects to the Parameterization Used in WRF T. Shepherd et al. 10.1175/JAMC-D-19-0135.1
- The Iowa Atmospheric Observatory: Revealing the Unique Boundary Layer Characteristics of a Wind Farm E. Takle et al. 10.1175/EI-D-17-0024.1
- 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
- Optimization of a wind farm by coupled actuator disk and mesoscale models to mitigate neighboring wind farm wake interference from repowering perspective M. Khan et al. 10.1016/j.apenergy.2021.117229
- Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development J. Lundquist et al. 10.1038/s41560-018-0281-2
- Simulated wind farm wake sensitivity to configuration choices in the Weather Research and Forecasting model version 3.8.1 J. Tomaszewski & J. Lundquist 10.5194/gmd-13-2645-2020
- Coupling of mesoscale Weather Research and Forecasting model to a high fidelity Large Eddy Simulation C. Santoni et al. 10.1088/1742-6596/1037/6/062010
- Mesoscale simulations of a real onshore wind power base in complex terrain: Wind farm wake behavior and power production Q. Wang et al. 10.1016/j.energy.2021.122873
- 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
- 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
- “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
- Review of Mesoscale Wind-Farm Parametrizations and Their Applications J. Fischereit et al. 10.1007/s10546-021-00652-y
- Impact of ocean waves on offshore wind farm power production S. Porchetta et al. 10.1016/j.renene.2021.08.111
- 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
- Numerical experimental study on the potential climatic impacts of large-scale wind farms in China J. Huang et al. 10.1016/j.accre.2019.10.001
- Partial repowering analysis of a wind farm by turbine hub height variation to mitigate neighboring wind farm wake interference using mesoscale simulations A. Syed et al. 10.1016/j.apenergy.2020.115050
- 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
- Observation and Simulation of Wind Speed and Wind Power Density over Bac Lieu Region H. Nguyen et al. 10.1155/2021/8823940
- 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
- Observations and simulations of a wind farm modifying a thunderstorm outflow boundary J. Tomaszewski & J. Lundquist 10.5194/wes-6-1-2021
- Predictive Capability of WRF Cycling 3DVAR: LiDAR Assimilation at FINO1 M. Bakhoday-Paskyabi & M. Flügge 10.1088/1742-6596/2018/1/012006
- Micrometeorological impacts of offshore wind farms as seen in observations and simulations S. Siedersleben et al. 10.1088/1748-9326/aaea0b
- Atmospheric pressure gradients and Coriolis forces provide geophysical limits to power density of large wind farms E. Antonini & K. Caldeira 10.1016/j.apenergy.2020.116048
- Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development J. Lundquist et al. 10.1038/s41560-018-0281-2
28 citations as recorded by crossref.
- A multiscale numerical framework coupled with control strategies for simulating a wind farm in complex terrain Q. Wang et al. 10.1016/j.energy.2020.117913
- Spatial constraints in large-scale expansion of wind power plants E. Antonini & K. Caldeira 10.1073/pnas.2103875118
- The Second Wind Forecast Improvement Project (WFIP2): Observational Field Campaign J. Wilczak et al. 10.1175/BAMS-D-18-0035.1
- The Second Wind Forecast Improvement Project (WFIP2): General Overview W. Shaw et al. 10.1175/BAMS-D-18-0036.1
- Grand challenges in the science of wind energy P. Veers et al. 10.1126/science.aau2027
- Sensitivity of Wind Turbine Array Downstream Effects to the Parameterization Used in WRF T. Shepherd et al. 10.1175/JAMC-D-19-0135.1
- The Iowa Atmospheric Observatory: Revealing the Unique Boundary Layer Characteristics of a Wind Farm E. Takle et al. 10.1175/EI-D-17-0024.1
- 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
- Optimization of a wind farm by coupled actuator disk and mesoscale models to mitigate neighboring wind farm wake interference from repowering perspective M. Khan et al. 10.1016/j.apenergy.2021.117229
- Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development J. Lundquist et al. 10.1038/s41560-018-0281-2
- Simulated wind farm wake sensitivity to configuration choices in the Weather Research and Forecasting model version 3.8.1 J. Tomaszewski & J. Lundquist 10.5194/gmd-13-2645-2020
- Coupling of mesoscale Weather Research and Forecasting model to a high fidelity Large Eddy Simulation C. Santoni et al. 10.1088/1742-6596/1037/6/062010
- Mesoscale simulations of a real onshore wind power base in complex terrain: Wind farm wake behavior and power production Q. Wang et al. 10.1016/j.energy.2021.122873
- 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
- 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
- “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
- Review of Mesoscale Wind-Farm Parametrizations and Their Applications J. Fischereit et al. 10.1007/s10546-021-00652-y
- Impact of ocean waves on offshore wind farm power production S. Porchetta et al. 10.1016/j.renene.2021.08.111
- 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
- Numerical experimental study on the potential climatic impacts of large-scale wind farms in China J. Huang et al. 10.1016/j.accre.2019.10.001
- Partial repowering analysis of a wind farm by turbine hub height variation to mitigate neighboring wind farm wake interference using mesoscale simulations A. Syed et al. 10.1016/j.apenergy.2020.115050
- 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
- Observation and Simulation of Wind Speed and Wind Power Density over Bac Lieu Region H. Nguyen et al. 10.1155/2021/8823940
- 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
- Observations and simulations of a wind farm modifying a thunderstorm outflow boundary J. Tomaszewski & J. Lundquist 10.5194/wes-6-1-2021
- Predictive Capability of WRF Cycling 3DVAR: LiDAR Assimilation at FINO1 M. Bakhoday-Paskyabi & M. Flügge 10.1088/1742-6596/2018/1/012006
- Micrometeorological impacts of offshore wind farms as seen in observations and simulations S. Siedersleben et al. 10.1088/1748-9326/aaea0b
- Atmospheric pressure gradients and Coriolis forces provide geophysical limits to power density of large wind farms E. Antonini & K. Caldeira 10.1016/j.apenergy.2020.116048
1 citations as recorded by crossref.
Latest update: 08 Aug 2022
Short summary
We evaluate the wind farm parameterization (WFP) in the Weather Research and Forecasting (WRF) model, a powerful tool to simulate wind farms and their meteorological impacts numerically. In our case study, the WFP simulations with fine vertical grid resolution are skilful in matching the observed winds and the actual power productions. Moreover, the WFP tends to underestimate power in windy conditions. We also illustrate that the modeled wind speed is a critical determinant to improve the WFP.
We evaluate the wind farm parameterization (WFP) in the Weather Research and Forecasting (WRF)...