An Optimization Method for Energy Consumption of Central air Conditioning

As the main energy consumption of modern buildings, it is still an important research direction of energy conservation to reduce the power consumption of central air-conditioning. In this study, a prediction model was established between the power of central air-conditioning and some controllable as well as environmental parameter by Neural Networks, and then we use the model as fitness function of Genetic Algorithm, search for optimal values to get a minimum power. And experiment shows this method can reduce power consumption.