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