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Recently, UAM(Urban Air Mobility) has been attracting much attention as a next generation transportation. UAMs are expected to be operated in urban area. As UAMs are susceptible to winds, forecasting complex urban wind environment is important.
Recently, UAM(Urban Air Mobility) has been attracting much attention as a next generation transportation. UAMs are expected to be operated in urban area. As UAMs are susceptible to winds, forecasting complex urban wind environment is important.
The urban wind environment should have 3 requirements.
The urban wind environment should have 3 requirements.
① Realistic wind environment.
① Realistic wind environment.
② Capability of presenting effects of urban surface geometry(buildings, bridges, …).
② Capability of presenting effects of urban surface geometry(buildings, bridges, …).
③ Sufficient resolution for UAM.
③ Sufficient resolution for UAM.
To achieve these requirements, WRF(Weather Research and Forecasting)-LES(Large Eddy Simulation) coupled model is adopted. Fig.2 is flow chart of WRF-LES coupled system.
To achieve these requirements, WRF(Weather Research and Forecasting)-LES(Large Eddy Simulation) coupled model is adopted. Fig.2 is flow chart of WRF-LES coupled system.
Fig 2. Flow chart of WRF-LES coupled system
The WRF model is used for calculate mesoscale weather conditions. Fig.3 shows various options for WRF simulation.
The WRF model is used for calculate mesoscale weather conditions. Fig.3 shows various options for WRF simulation.
Fig 3. WRF simulation
The WRF model’s various options are determined by comparing accuracy with observation data. Fig.4 shows the comparison of the WRF simulations.
The WRF model’s various options are determined by comparing accuracy with observation data. Fig.4 shows the comparison of the WRF simulations.
Fig 4. Comparison of WRF simulation
The LES(Large Eddy Simulation) model uses WRF simulation result as initial & boundary condition. To achieve suitable resolution economically, nesting algorithm was also adopted.
The LES(Large Eddy Simulation) model uses WRF simulation result as initial & boundary condition. To achieve suitable resolution economically, nesting algorithm was also adopted.
The previous result is used as initial & boundary condition of next step.
The previous result is used as initial & boundary condition of next step.
Fig 5. Nesting algorithm for LES model
The result from WRF-LES coupled system shows complicated wind environment of urban area.
The result from WRF-LES coupled system shows complicated wind environment of urban area.
Fig 6.WRF-LES result
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