基于改进粒子群的地源热泵系统运行优化研究  

Operation Optimization of Ground Source Heat Pump System Based on Particle Swarm Improvement

作　　者：张语智 Zhang Yuzhi(Hebei Institute of Architecture and Engineering,Zhangjiakou,075132)

机构地区：[1]河北建筑工程学院,张家口075132

出　　处：《建设科技》2024年第3期95-98,共4页Construction Science and Technology

摘　　要：为了研究地源热泵供暖系统的节能控制策略,本文根据地源热泵和循环水泵的运行特点,通过TRNSYS建立了仿真模型及其优化平台,并针对不同热负荷的需求,采用改进的粒子群算法对用户侧和地源侧的水泵流量以及热泵出口温度进行优化,以获得不同热负荷下系统的最优运行参数,从而达到最大限度降低整体供热能耗的目的。验证结果表明,与原运行策略相比,采用优化运行方式后,系统能耗降低了10.31%,系统能耗比提高了9.8%,说明改进策略能有效降低能耗,提高系统性能。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.

关 键 词：地源热泵系统 TRNSYS 改进的粒子群算法 COP 

分 类 号：TU83[建筑科学—供热、供燃气、通风及空调工程]