制冷技术2023，Vol.43Issue(4)：61-66,6.DOI:10.3969/j.issn.2095-4468.2023.04.204
基于拉格朗日法的空调系统不确定性分析
Uncertainty Analysis of Air Conditioning System Based on Lagrange Optimization
摘要
Abstract
In order to study the impact of human behavior in buildings on building energy consumption,this paper is designed to study the uncertainty in buildings,analyze the energy consumption of refrigeration systems under different working conditions,and adopt Lagrangian relaxation method for chillers and refrigeration units.The system performs optimal scheduling.Experiments show that the energy consumption values of chillers and refrigeration systems before optimization are 157 680 kW and 210 240 kW respectively.The energy consumption values optimized by Lagrangian relaxation method are 149 422 kW and 198 993 kW respectively,and the energy saving values are 8 258 kW and 11 247 kW respectively,and the energy saving rate is 5.2%and 5.3%.However,the energy consumption values optimized by the traditional sequential start-stop algorithm are 149 422 kW and 198 993 kW respectively,and the energy saving value is 5 203 kW,and the energy saving rate of 5 676 kW is 3.3%and 2.7%.The results show that the energy saving effect of Lagrangian relaxation method is better than that of sequential start-stop optimization strategy.Using this optimization strategy for optimal control can not only meet the cooling load demand of the building,but also reduce system energy consumption.关键词
人行为/不确定性/拉格朗日松弛/优化控制Key words
People behavior/Uncertainty/Lagrangian relaxation/Energy saving分类
通用工业技术引用本文复制引用
王琦,王红梅,闫秀英..基于拉格朗日法的空调系统不确定性分析[J].制冷技术,2023,43(4):61-66,6.基金项目
陕西省低能耗建筑节能创新示范工程(No.2017ZDXM-GY-025). （No.2017ZDXM-GY-025）
