A parameter optimisation design method for counter-rotating vertical axis wind turbines based on CFD and machine learning
A parametric model of CRVAWT is established, a machine learning model is constructed to establish the mapping relationship between design parameters and CRVAWT power generation performance, and the particle swarm optimisation (PSO) algorithm is used for optimisation to obtain the optimal parameter combination.