Annual electricity saving optimization of latent heat storage system in telecommunication base stations

Establishes a steady mathematic model to simulate the heat transfer process in the latent heat storage system. Calculates the outlet air temperature and the inlet and outlet water temperature using the mathematic model according to the inlet air temperature. Compares the calculated values with the experimental data from an enthalpy difference experiment platform. The results show that the relative error of the inlet and outlet temperature difference in the water side and air side is 1.33% and 7.27% in the energy charging process, respectively, and the relative error is 5.23% and 8.00% in the discharging process, respectively. For the building structure, indoor heat release and air conditioning characteristics of the specific telecommunication base station, using the genetic algorithm based on the mathematic model, optimizes the performance of the latent heat storage system in five cities (Shenyang, Zhengzhou, Changsha, Kunming and Guangzhou) located in the five typical climate regions of China, with the annual electricity saving as the optimal function and the air flow rate of the fan, the water flow rate of the pump and the phase change temperature as the optimal parameters. After the optimization, annual electricity saving ratios of the five cities are increased by 8.9%, 8.3%, 8.2%, 7.9% and 8.2%, respectively.