Operation Optimization of Ground Source Heat Pump System Based on Particle Swarm Improvement
In order to study the energy-saving control strategy of ground-source heat pump heating systems,this paper establishes a simulation model and optimization platform using TRNSYS based on the operating characteristics of ground source heat pumps and circulating water pumps.According to the needs of different heating loads,an improved particle swarm optimization algorithm is used to optimize the water pump flow rate and heat pump outlet temperature on both the user side and ground source side,in order to obtain the optimal operating parameters of the system under different heating loads,aiming to achieve the goal of minimizing the overall heating energy consumption to the maximum extent.The verification results show that compared with the original operating strategy,the optimized operating mode reduces system energy consumption by 10.31%and increases system energy ratio by 9.8%,indicating that the improved strategy can effectively reduce energy consumption and improve system performance.
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