Optimization of Cooling Energy Consumption in Data Centers Based on Mixed Integer Programming

被引：0

作者：

Zhang, Quan ^{[1
]}

Zheng, Haoran ^{[1
]}

Zhu, Yiqun ^{[1
]}

Zou, Sikai ^{[2
]}

机构：

[1] School of Civil Engineering, Hunan University, Changsha

[2] School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang

来源：

Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences | 2024年 / 51卷 / 09期

基金：

中国国家自然科学基金;

关键词：

data center; energy saving; mixed integer linear programming; model predictive control; optimal control;

D O I：

10.16339/j.cnki.hdxbzkb.2024099

中图分类号：

学科分类号：

摘要：

This study presents a model predictive control method based on mixed-integer linear programming，taking the chilled water storage cooling system of a data center in Guangzhou as the research object. The optimization objective of the method is to minimize the energy consumption of the cooling system. By modeling the cooling system and environmental conditions and considering energy costs and cooling system efficiency，the optimal operation strategy for chillers and the scheduling arrangement for the chilled water storage cooling system are determined. During the optimization process，this research takes into account the influence of the minimum continuous operation time of chillers on the energy consumption of the cooling system and determines the optimal value to improve stability and reduce energy waste caused by frequent chiller start-ups and shutdowns. Through an annual simulation，this method reduces the total energy consumption by 6.52% and the total operating cost by 6.93%，compared to the baseline strategy. © 2024 Hunan University. All rights reserved.

引用

页码：188 / 197

页数：9

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