Multi-objective Optimization Method for HVAC System based on Exergy Analysis

Fang Xing; Jin Xinqiao; Du Zhimin; Wang Yijun; Fan Bo

doi:10.3969/j.issn.0253-4339.2016.04.007

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Multi-objective Optimization Method for HVAC System based on Exergy Analysis

更新时间：2024-07-18

- Multi-objective Optimization Method for HVAC System based on Exergy Analysis
- Journal of Refrigeration Vol. 37, Issue 4, (2016)
- 作者机构：
  
  1. 上海交通大学机械与动力工程学院
  2. 美的中央空调研发中心
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0253-4339.2016.04.007
  CLC：
- Published：2016
- 稿件说明：
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Fang Xing, Jin Xinqiao, Du Zhimin, et al. Multi-objective Optimization Method for HVAC System based on Exergy Analysis[J]. Journal of refrigeration, 2016, 37(4).
DOI：

Fang Xing, Jin Xinqiao, Du Zhimin, et al. Multi-objective Optimization Method for HVAC System based on Exergy Analysis[J]. Journal of refrigeration, 2016, 37(4). DOI： 10.3969/j.issn.0253-4339.2016.04.007.

摘要

针对空调系统运行效率低下，且运行过程中子系统之间相互影响、相互制约的问题，本文基于?分析方法提出一种空调系统多目标运行优化方法，以提高空调系统整体的运行效率。以某机场航站楼空调系统为研究对象，采用?分析方法建立了空调系统的生产结构图，并根据生产结构将空调系统划分为3个子系统。在建立子系统?分析模型的基础上，以3个子系统的最小?损为优化目标，采用多目标粒子群优化算法（MOPSO）对空调系统的运行参数进行优化。针对某一典型日的运行工况对空调系统进行多目标优化，结果表明：相对于空调系统的原始控制方式，采用多目标运行优化方法可以有效减小空调各个子系统以及整个系统的?损，使空调系统的运行效率明显提高，达到了节能的目的。

Abstract

Since the operation efficiency of HVAC system is low and the operation performance of subsystems are commonly affected by each other

a multi-objective optimization method to improve the operation performance of entire HVAC system is proposed based on exergy analysis. The HVAC system of an airport terminal is chosen as the study object. Exergy analysis is applied to set up the productive structure of the HVAC system. According to the productive structure of the HVAC system

the HVAC system can be divided into three subsystems: cooling tower subsystem

chiller subsystem

and AHU subsystem. Based on the exergy models of three subsystems

MOPSO method is employed to search for the lowest exergy losses of three subsystems by optimizing the control sets of the HVAC system. A typical day test results show that the optimization method can obviously reduce the exergy losses of all three subsystems and the entire system compared with the original control. So the operation efficiency of the HVAC system can be improved by the multi-objective optimization method.

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