基站用相变储能机组年节电量优化

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

建立了相变储能机组的稳态传热数学模型,根据机组进口空气温度计算出口空气温度及进、出口水温,对计算结果与焓差实验台测得的数据进行了对比,结果显示:蓄冷工况时,机组水侧和空气侧进出口温差的相对误差分别为1.33%与7.27%;放冷工况时,相对误差分别为5.23%与8.00%。利用遗传算法,以年节电量为目标函数,针对特定基站的建筑结构、室内散热量及空调特性,以风机风量、水泵流量及相变温度为优化变量,对我国5个气候区域的典型城市(沈阳、郑州、长沙、昆明和广州)的通信基站的运行性能进行了优化,优化后上述城市的年节电量分别增加了8.9%,8.3%,8.2%,7.9%,8.2%。

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.