[1]相 贝,张 高.动态负荷下变频多联空调冷水机组能耗节能控制[J].工业仪表与自动化装置,2026,(01):109-113.[doi:10.19950/j.cnki.CN61-1121/TH.2026.01.020]
　XIANG Bei,ZHANG Gao.Energy saving control of variable frequency multi-connected air conditioning chiller under dynamic load[J].Industrial Instrumentation & Automation,2026,(01):109-113.[doi:10.19950/j.cnki.CN61-1121/TH.2026.01.020]
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动态负荷下变频多联空调冷水机组能耗节能控制()

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2026年01期
页码:
109-113
栏目:
出版日期:
2026-02-15

文章信息/Info

Title:
Energy saving control of variable frequency multi-connected air conditioning chiller under dynamic load
文章编号:
1000-0682（2026）01-0109-05
作者:
相 贝; 张 高
陕西能源职业技术学院，陕西 咸阳712000
Author(s):
XIANG Bei;  ZHANG Gao
Shaanxi Energy Institute, Shaanxi Xianyang 712000, China
关键词:
变频多联空调; 改进粒子群优化算法; 负荷波动率计算
Keywords:
Frequency conversion multi-connected air conditioner;  Improved particle swarm optimization algorithm;  Calculation of load volatility
分类号:
TU831
DOI:
10.19950/j.cnki.CN61-1121/TH.2026.01.020
文献标志码:
A
摘要:
现有的空调冷水机组能耗控制方法往往依赖于预设的固定参数或简单的反馈控制，无法充分响应建筑冷负荷的动态变化。由于室外气象、室内人员活动及设备使用等因素时刻变化，冷水机组的实际负荷率频繁波动。为此，提出动态负荷下变频多联空调冷水机组能耗节能控制方法。以冷水机组日能耗最小化、节能控制误差最小化为目标，构建冷水机组能耗节能控制双层模型，并确定约束条件。基于改进粒子群优化算法与模型预测控制算法设计混合算法，求解冷水机组能耗节能控制双层模型。计算变频多联空调负荷波动率，以此为基础，调整改进粒子群优化算法参数——惯性权重与学习因子，输入至混合算法进行重新迭代运算，获取最终的节能控制向量，通过执行机构实施即可实现动态负荷下变频多联空调冷水机组能耗的节能控制。实验结果显示：设计方法应用后冷水机组日能耗最小值达到了1030 kW·h，冷水机组运行参数——蒸发器出口温度、冷凝器出口温度及其制冷剂质量流量控制误差最小值分别为0.1%、0.2%与0.1%。
Abstract:
The existing energy consumption control methods for air conditioning chillers often rely on preset fixed parameters or simple feedback control. They cannot fully respond to the dynamic changes of the building’s cooling load. Due to the constant changes in outdoor weather, indoor personnel activities and equipment usage, the actual load rate of the chiller fluctuates frequently. To this end, an energy-saving control method for energy consumption of variable frequency multi-split air conditioning chiller units under dynamic load is proposed. With the goal of minimizing the daily energy consumption of the chiller and reducing the energy-saving control error, a two-layer model for energy consumption and energy-saving control of the chiller is constructed, and the constraint conditions are determined. A hybrid algorithm is designed based on the improved particle swarm optimization algorithm and the model predictive control algorithm to solve the two-layer model of energy consumption and energy-saving control for water chillers. Calculate the load fluctuation rate of the variable frequency multi-split air conditioner. Based on this, adjust and improve the parameters of the particle swarm optimization algorithm - inertia weight and learning factor, and input them into the hybrid algorithm for re-iterative operation to obtain the final energy-saving control vector. Through the implementation of the actuator, the energy-saving control of the energy consumption of the variable frequency multi-split air conditioner chiller under dynamic load can be achieved. The experimental results show that after the application of the design method, the minimum daily energy consumption of the chiller reached 1030kW·h, and the minimum control errors of the operating parameters of the chiller - the outlet temperature of the evaporator, the outlet temperature of the condenser and the mass flow rate of the refrigerant - were 0.1%, 0.2% and 0.1% respectively.

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备注/Memo

备注/Memo:
收稿日期：2025-08-28基金项目：陕西省教育厅一般专项科学研究计划项目（22JK0326）；陕西能源职业技术学院院级科研项目（2021KYP10）；陕西能源职业技术学院院级科研项目（2021QN04）第一作者：相贝（1991—），男，汉族，山西运城人，讲师，硕士研究生，研究方向为空调能耗模拟及节能。E-mail：18082523734@163.com
更新日期/Last Update: 1900-01-01