基于动态模拟与优化算法的空气源-地源热泵复合系统研究

张智赢; 刘寅; 董岁具; 陈小龙; 聂呈祥; 金炜洁; 李凯鹏

doi:10.12465/issn.0253-4339.20250823001

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基于动态模拟与优化算法的空气源-地源热泵复合系统研究

更新时间：2026-04-24

- 基于动态模拟与优化算法的空气源-地源热泵复合系统研究
- Air-Source–Ground-Source Heat Pump Composite System Based on Dynamic Simulation and Optimization Algorithms
- 制冷学报 2026年页码：1-12
- 作者机构：
  
  1.中原工学院智慧能源与环境学院郑州 451191
  2. 郑州热力集团有限公司郑州 451191
- 作者简介：
  
  刘寅，男，教授，中原工学院智慧能源与环境学院，17630316463，E-mail：2468267773@qq.com。研究方向：能源高效及综合利用。Liu Yin， male， professor， School of Smart Energy and Environment，Zhongyuan University of Technology， 86-17630316463， E-mail：2468267773@qq.com. Research fields： energy efficiency and comprehensive utilization.
- 基金信息：
- DOI：10.12465/issn.0253-4339.20250823001
  中图分类号： TU83;TP18
- 收稿：2025-08-23，
  
  修回：2025-11-06，
  
  录用：2025-12-02，
  
  网络首发：2026-04-24，
- 稿件说明：
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张智赢,刘寅,董岁具等.基于动态模拟与优化算法的空气源-地源热泵复合系统研究[J].制冷学报,

Zhang Zhiying,Liu Yin,Dong Suiju,et al.Air-Source–Ground-Source Heat Pump Composite System Based on Dynamic Simulation and Optimization Algorithms[J].Journal of Refrigeration,
张智赢,刘寅,董岁具等.基于动态模拟与优化算法的空气源-地源热泵复合系统研究[J].制冷学报, DOI：10.12465/issn.0253-4339.20250823001.

Zhang Zhiying,Liu Yin,Dong Suiju,et al.Air-Source–Ground-Source Heat Pump Composite System Based on Dynamic Simulation and Optimization Algorithms[J].Journal of Refrigeration, DOI：10.12465/issn.0253-4339.20250823001.

摘要

针对郑州某办公建筑地源热泵（GSHP）系统仅满足供热、无法兼顾供冷需求的问题，且长期运行导致土壤热失衡与性能衰减，本文基于实测数据首先验证了TRNSYS动态模型的准确性，为后续运行分析与控制策略研究提供可靠基础。在此基础上，分析单一GSHP系统运行过程，提出空气源-地源热泵（ASHP-GSHP）耦合方案，并利用PSO-GPS混合算法，以系统运行经济性及维持土壤热平衡为目标，对双阈值控制策略进行优化设计。结果表明：温度控制策略下10年运行过程年均系统COP稳定在约3.24，年均土壤温度累计升高0.35 ℃；负荷控制策略下年均系统COP稳定在3.05左右，年均土壤温度累计升高0.38 ℃，且经济性最佳（投资回收期约为4.26年）。相比原仅供热系统系统COP下降及年均土壤温度下降7.47 ℃的情况，耦合方案提升系统能效，维持土壤热平衡，并在不同策略下实现年均最高约1.14万kg CO₂的减排。研究结果可为寒冷地区办公建筑冷热联供系统的优化设计与高效运行提供参考。

Abstract

For an office building in Zhengzhou， the ground-source heat pump （GSHP） system meets only the heating demand， cannot provide cooling， and its long-term operation leads to soil thermal imbalance and performance degradation. Based on measured data， we first verified the accuracy of the TRNSYS dynamic model， providing a reliable basis for subsequent operational analysis and control strategy research. On this basis， the operation process of a single GSHP system was analyzed， an air-source-ground-source heat pump （ASHP-GSHP） coupling scheme was proposed， and a hybrid PSO-GPS algorithm was used to optimize a dual-threshold control strategy with the goals of system economy and soil thermal balance. The results show that under the temperature control strategy， the annual average system COP remained basically stable at about 3.24 over the 10-year operating period， with a cumulative soil temperature rise of 0.35 °C； under the load control strategy， the annual average system COP remained basically stable at about 3.05， with a cumulative soil temperature rise of 0.38 ℃， and the economic performance was the best， with a payback period of about 4.26 years. Compared with the original heating-only system， in which the COP declined and the soil temperature dropped by 7.47 ℃， the coupling scheme effectively improves system efficiency， maintains soil thermal balance， and reduces CO₂ emissions by approximately 11 000 kg annually. This study provides a reference for the optimal design and efficient operation of cooling and heating cogeneration systems in office buildings located in cold regions.

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