In order to accurately analyze and evaluate wind energy resources and provide reliable assistance for wind power projects,a meso/micro-scale coupled evaluation model for wind resources based on wind speed and direction sequence is proposed.By collecting and processing wind speed and direction data,simulating wind farm meteorological parameters,simulating changes in wind speed and direction,reliable data support for wind energy resource assessment are provided. Based on the simulation results of wind field meteorological parameters,a meso/micro-scale model is constructed,and the fluid dynamics model is combined with digital elevation model,vegetation data,and meteorological parameters to simulate the three-dimensional flow of wind field under complex terrain conditions.By combining the wind flow data obtained from the mesoscale numerical model with the high-resolution microscale model,and using correlation correction method to modify the mesoscale data,the reliability of wind energy assessment results is improved.The engineering case results show that the difference between the wind speed calculated at the simulation point and the wind speed of the wind tower under the method proposed in this paper is relatively small.The correlation between the simulation data and the measured wind tower data is higher under the coupling of meso-and micro-scales,and the correlation coefficient of this method is closer to 1,indicating more accurate and reliable evaluation results.
wind speedwind direction sequencemeso/micro-scaledigital elevation modelfluid mechanics modelturbulence model