基于改进鲸鱼方法的地源热泵耦合系统优化改造

Optimization Renovation of Ground Source Heat Pump System Based on an IWOA Method

摘要: 针对山东省泰安市某建筑原地源热泵–单冷空气源热泵复合系统存在地源侧换热不足、运行稳定性差、能效低等问题，提出一种基于改进鲸鱼优化算法(Improved Whale Optimization Algorithm, IWOA)的地源热泵耦合系统优化策略。通过构建以系统运行费用最小化与综合能效比(Coefficient of Performance, COP)最大化为双目标的优化模型，通过改进鲸鱼优化算法(IWOA)优化双热源耦合控制策略，并结合负荷分配、水系统变流量调节与地源侧年热平衡恢复方法，实现系统整体的运行优化与节能增效。仿真验证，该方案可有效提升系统运行稳定性，系统在典型工况下COP由1.88提升至3.12，年运行费用降低22.7%，具有良好工程推广价值。

Abstract: Aiming at issues such as insufficient heat exchange on the ground source side, poor operational stability, and low energy efficiency in an existing ground source heat pump–single cooling air source heat pump hybrid system in Tai’an City, Shandong Province, an optimization strategy based on the Improved Whale Optimization Algorithm (IWOA) is proposed for the coupled ground source heat pump system. By establishing a dual-objective optimization model that minimizes system operating costs and maximizes the comprehensive Coefficient of Performance (COP), an improved control strategy for the dual-heat-source coupled system is optimized using the IWOA. This approach integrates load distribution, variable-flow regulation of the water system, and an annual thermal balance recovery method for the ground source side, achieving overall system operational optimization and improved energy efficiency. Simulation results demonstrate that the proposed strategy effectively enhances system operational stability. Under typical operating conditions, the system’s COP increases from 1.88 to 3.12, and annual operating costs are reduced by 22.7%, indicating strong potential for engineering application and promotion.