Ce Zhang , Minxia Li , Xun Chen , Chaobin Dang , Xiuming Li , Zongwei Han
{"title":"Dual evaporating temperature steam generation heat pump system for waste heat recovery of air–liquid hybrid cooling data center","authors":"Ce Zhang , Minxia Li , Xun Chen , Chaobin Dang , Xiuming Li , Zongwei Han","doi":"10.1016/j.enconman.2026.121199","DOIUrl":null,"url":null,"abstract":"<div><div>As information technologies such as ChatGPT, cloud computing, and 5G continue to evolve, data centers are consuming an escalating amount of energy. Data centers require year-round, uninterrupted cooling. However, traditional cooling technology faces the following challenges. On the one hand, the cooling capacity of air cooling technology is poor, and the initial investment of liquid cooling technology is high. On the other hand, waste heat from data center cooling system is directly discharged into the environment, the energy utilization efficiency is low. To solve the above problems, a novel thermal management scheme for data centers is proposed in this study. Regarding the data center cooling, the novel scheme is constructed based on an air–liquid hybrid cooling architecture to balance energy efficiency performance with technical feasibility. Regarding the air–liquid hybrid cooling architecture waste heat recovery, steam is generated through the dual evaporating temperature heat pump system, which enables synergistic recovery of waste heat from both the air and liquid cooling modules. The theoretical analysis and experimental research are conducted to compare the novel scheme with traditional scheme. The results show that in three typical cities, the operating cost, carbon emission, and life cycle cost of the novel scheme can be reduced by more than 15%.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"353 ","pages":"Article 121199"},"PeriodicalIF":11.8000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0196890426001688","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/12 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
As information technologies such as ChatGPT, cloud computing, and 5G continue to evolve, data centers are consuming an escalating amount of energy. Data centers require year-round, uninterrupted cooling. However, traditional cooling technology faces the following challenges. On the one hand, the cooling capacity of air cooling technology is poor, and the initial investment of liquid cooling technology is high. On the other hand, waste heat from data center cooling system is directly discharged into the environment, the energy utilization efficiency is low. To solve the above problems, a novel thermal management scheme for data centers is proposed in this study. Regarding the data center cooling, the novel scheme is constructed based on an air–liquid hybrid cooling architecture to balance energy efficiency performance with technical feasibility. Regarding the air–liquid hybrid cooling architecture waste heat recovery, steam is generated through the dual evaporating temperature heat pump system, which enables synergistic recovery of waste heat from both the air and liquid cooling modules. The theoretical analysis and experimental research are conducted to compare the novel scheme with traditional scheme. The results show that in three typical cities, the operating cost, carbon emission, and life cycle cost of the novel scheme can be reduced by more than 15%.
期刊介绍:
The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics.
The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.