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High-fidelity simulation study of real typhoon event in Taiwan using WRF-LES coupled model
by
Ko, Min-You
, Lu, Nan-You
in
Air-turbines
/ Alternative energy sources
/ Analysis
/ Assimilation
/ Atmospheric boundary layer
/ Automotive Engineering
/ Boundary layers
/ Cyclones
/ Energy development
/ Engineering
/ Engineering Design
/ Engineering Fluid Dynamics
/ High resolution
/ Hurricanes
/ Kinetic energy
/ Large eddy simulation
/ Mechanical Engineering
/ Meteorological research
/ Numerical weather forecasting
/ Oceanic eddies
/ Offshore
/ Offshore energy sources
/ Offshore Engineering
/ Onsite
/ Original Article
/ Simulation
/ Simulation methods
/ Turbines
/ Turbulence
/ Typhoons
/ Velocity
/ Vortices
/ Weather
/ Weather forecasting
/ Wind data
/ Wind farms
/ Wind fields
/ Wind power
/ Wind speed
/ Wind turbines
/ Winds
2025
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High-fidelity simulation study of real typhoon event in Taiwan using WRF-LES coupled model
by
Ko, Min-You
, Lu, Nan-You
in
Air-turbines
/ Alternative energy sources
/ Analysis
/ Assimilation
/ Atmospheric boundary layer
/ Automotive Engineering
/ Boundary layers
/ Cyclones
/ Energy development
/ Engineering
/ Engineering Design
/ Engineering Fluid Dynamics
/ High resolution
/ Hurricanes
/ Kinetic energy
/ Large eddy simulation
/ Mechanical Engineering
/ Meteorological research
/ Numerical weather forecasting
/ Oceanic eddies
/ Offshore
/ Offshore energy sources
/ Offshore Engineering
/ Onsite
/ Original Article
/ Simulation
/ Simulation methods
/ Turbines
/ Turbulence
/ Typhoons
/ Velocity
/ Vortices
/ Weather
/ Weather forecasting
/ Wind data
/ Wind farms
/ Wind fields
/ Wind power
/ Wind speed
/ Wind turbines
/ Winds
2025
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Do you wish to request the book?
High-fidelity simulation study of real typhoon event in Taiwan using WRF-LES coupled model
by
Ko, Min-You
, Lu, Nan-You
in
Air-turbines
/ Alternative energy sources
/ Analysis
/ Assimilation
/ Atmospheric boundary layer
/ Automotive Engineering
/ Boundary layers
/ Cyclones
/ Energy development
/ Engineering
/ Engineering Design
/ Engineering Fluid Dynamics
/ High resolution
/ Hurricanes
/ Kinetic energy
/ Large eddy simulation
/ Mechanical Engineering
/ Meteorological research
/ Numerical weather forecasting
/ Oceanic eddies
/ Offshore
/ Offshore energy sources
/ Offshore Engineering
/ Onsite
/ Original Article
/ Simulation
/ Simulation methods
/ Turbines
/ Turbulence
/ Typhoons
/ Velocity
/ Vortices
/ Weather
/ Weather forecasting
/ Wind data
/ Wind farms
/ Wind fields
/ Wind power
/ Wind speed
/ Wind turbines
/ Winds
2025
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High-fidelity simulation study of real typhoon event in Taiwan using WRF-LES coupled model
Journal Article
High-fidelity simulation study of real typhoon event in Taiwan using WRF-LES coupled model
2025
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Overview
Taiwan, frequently impacted by typhoons, faces significant risks to offshore wind turbines from extreme winds. Accurate prediction of typhoon boundary layer characteristics is crucial for offshore wind energy development. This study employed a coupled Weather Research and Forecasting (WRF) model and large-eddy simulations (LES) to investigate the effects of atmospheric parameters (e.g., temperature and pressure) on typhoon characteristics during a historical event (Typhoon Nesat, 2017). High-resolution wind fields near an offshore wind farm were generated and validated by on-site meteorological mast data, with the evaluated peak mean wind speed of 31.8 m/s, only 0.3 m/s higher than the observed value. The results showed that on-site wind speeds were highly sensitive to deviations in the WRF-simulated typhoon track. In addition, the LES-generated turbulence underestimated the actual conditions, especially in the period following the primary extreme wind impact. Moreover, direct assimilation of mesoscale wind data into the microscale model overstated turbulence in the typhoon wake, with turbulent kinetic energy 2–4 times higher than those with indirect assimilation. Overall, however, the proposed WRF-LES model provides a powerful approach for simulating typhoon with moderate accuracy. The high-resolution wind fields generated can be utilized for wind turbine simulations, benefiting wind energy development in Taiwan.
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