基于[火用]损分析的地源热泵地板辐射供冷系统运行优化

Operation optimization of ground-source heat pump floor radiant cooling system based on exergy loss analysis

随着地板辐射技术的普及,越来越多的办公建筑选择使用地源热泵耦合地板辐射系统供冷,系统的高效运行日益受到重视。文章以[火用]损作为评价指标,运用3台热泵优化济南市某办公大楼供冷系统。将系统分为地埋管子系统、地板辐射子系统和热泵机组子系统,并建立了对应的[火用]损模型。在MATLAB平台上,使用快速非支配排序遗传算法降低系统总[火用]损,同时以3台热泵的负荷分配为自变量,寻求最优解集。结果表明:当运用遗传算法优化运行策略时,总能找到最优解集,使系统总[火用]损降到最低,并得到了系统的最佳运行策略;优化后的地埋管换热器的[火用]损虽然增加,但系统的总[火用]损却降低了7.3%,一天内热泵机组能耗也降低了16.66 kWh,其节能率达到了9.2%;从[火用]损占比来看,地板辐射子系统的[火用]损占整个系统损失的66.3%,因此通过对地板辐射子系统的优化改进,能够有效改善整个系统的总[火用]损。

With the popularization of floor radiation technology,more and more office buildings choose to use ground source heat pump coupled with floor radiation systems for cooling,and its efficient operation has received increasingly attention.This paper takes the size of exergy loss as an evaluation index,and uses three heat pumps to optimize the cooling system of an office building in Jinan.The system is divided into a buried pipe subsystem,a floor radiation subsystem,and a heat pump unit subsystem,and corresponding exergy loss models are established.On the MATLAB platform,a fast Non-dominated Sequencing Genetic Algorithm-II(NSGA-II)is used to reduce the total exergy loss of the system,while taking the load distribution of three heat pumps as the independent variable to seek the optimal solution set.The results show that when using genetic algorithm to optimize the operating strategy,the optimal solution set can always be found to minimize the total system loss and obtain the optimal operating strategy of the system.Although the exergy loss of the optimized buried pipe heat exchanger increased,the total exergy loss of the system decreased by 7.3%,and the energy consumption of the heat pump unit decreased by 16.66 kWh in one day,achieving an energy-saving rate of 9.2%.From the perspective of the proportion of floor radiation losses,the floor radiation subsystem accounts for 66.3%of the total system losses.Therefore,optimizing and enhancing the floor radiation subsystem can effectively reduce the overall system losses.