Performance Prediction of Dew-point Evaporative Cooling Chiller Based on BP Neural Network

This paper aims at the design shortcomings of the traditional evaporative cooling chillers, such as the failure to take the actual operation of the chillers into full consideration, the complexity of the optimization design before mass production and the large cost input. The prediction model of dew point indirect evaporative cooler was established by using neural network to predict the nonlinear dynamic system, and the network model was trained and simulated.