数据中心空调系统节能优化

孟军磊; 吴天予; 宋培元; 马昕霞

###

DOI:10.3969/j.issn.2096-8299.2023.04.016

上海电力大学学报:2023,39(4):407-413

查看/发表评论过刊浏览高级检索 HTML

←前一篇 | 后一篇→

码上扫一扫！

下载全文

数据中心空调系统节能优化

孟军磊¹, 吴天予², 宋培元³, 马昕霞²

(1.上海电力建设启动调整试验所有限公司锅炉室;2.上海电力大学能源与机械工程学院;3.上海理工大学管理学院)

Energy Saving Optimization of Data Center Air Conditioning System

MENG Junlei¹, WU Tianyu², SONG Peiyuan³, MA Xinxia²

(1.Boiler Institute, Shanghai Electric Power Construction Start-up Adjustment Laboratory Co., LTD., Shanghai 200030, China;2.School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;3.School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China)

摘要

图/表

参考文献

本刊相似文献

All Journals 相似文献

All Journals 引证文献

本文已被：浏览 802次下载 357次
投稿时间：2023-05-08

中文摘要: 当前对于空调系统前端系统和冷源系统的整体群控策略研究较少。考虑到空调系统强耦合性的特点,采用了一种大小群控相结合的策略对上海某公司数据中心的空调系统进行节能优化。通过TRNSYS软件对数据中心空调系统进行了仿真模拟,验证了系统模型的可靠性。用实例验证大小群控相结合的优化策略,结果显示,相比实际运行策略,该策略能够降低系统总能耗量约23.56%。

中文关键词: 数据中心空调系统群控策略节能

Abstract:At present,there is little research on the overall group control strategy of the front-end system and the cold source system of the air conditioning system.Considering the strong coupling of the air conditioning system,this paper adopts a strategy of combining large and small group control to save energy in the air conditioning system of a data center of a company in Shanghai.The TRNSYS software is used to simulate the air conditioning system in the data center and verifies the reliability of the system model.This case is used to verify the optimization strategy of combining large and small group control.The results show that the strategy can reduce the total energy consumption of the system by about 23.56% compared with the actual operation strategy.

keywords: data center air conditioning system group control strategy energy saving

文章编号：20234016 中图分类号：TU831 文献标志码：

基金项目:

作者	单位	E-mail
孟军磊	上海电力建设启动调整试验所有限公司锅炉室	mengjunlei@163.com
吴天予	上海电力大学能源与机械工程学院
宋培元	上海理工大学管理学院
马昕霞	上海电力大学能源与机械工程学院

引用文本：
孟军磊,吴天予,宋培元,等.数据中心空调系统节能优化[J].上海电力大学学报,2023,39(4):407-413.
MENG Junlei,WU Tianyu,SONG Peiyuan,et al.Energy Saving Optimization of Data Center Air Conditioning System[J].Journal of Shanghai University of Electric Power,2023,39(4):407-413.

Author Name	Affiliation	E-mail
MENG Junlei	Boiler Institute, Shanghai Electric Power Construction Start-up Adjustment Laboratory Co., LTD., Shanghai 200030, China	mengjunlei@163.com
WU Tianyu	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
SONG Peiyuan	School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
MA Xinxia	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China