OPTIMIZATION OF MIDDLE AND DEEP GROUND SOURCE HEAT PUMP HEATING SYSTEM BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM

Zhang Junfeng, Xu Jijun, Xu Jianwei, Xin Min, Zhang Jian

Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (4) : 311-317.

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (4) : 311-317. DOI: 10.19912/j.0254-0096.tynxb.2022-1900

OPTIMIZATION OF MIDDLE AND DEEP GROUND SOURCE HEAT PUMP HEATING SYSTEM BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM

  • Zhang Junfeng1, Xu Jijun2, Xu Jianwei1, Xin Min1, Zhang Jian3
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Abstract

A middle and deep ground source heat pump heating system with variable operating conditions and a thermal storage device is constructed. Based on the improved particle swarm optimization algorithm, the operation of the system is optimized with the operating cost, system coefficient of performance (COP) and geothermal energy utilization coefficient as objective functions, and the optimization results are compared and analyzed. The results show that the operating cost, system COP and geothermal energy utilization coefficient are 279.27 yuan, 6.4420 and 0.8527, respectively. Taking the system COP as the objective function ,the optimization effect is opposite to the operating cost, but similar to the geothermal energy utilization coefficient.

Key words

ground source heat pump / particle swarm optimization(PSO) / geothermal energy / buried pipe / improvement optimization

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Zhang Junfeng, Xu Jijun, Xu Jianwei, Xin Min, Zhang Jian. OPTIMIZATION OF MIDDLE AND DEEP GROUND SOURCE HEAT PUMP HEATING SYSTEM BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM[J]. Acta Energiae Solaris Sinica. 2024, 45(4): 311-317 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1900

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