{"title":"高校校园数据中心仿真与实验分析","authors":"K. Choo, M. Ohadi, D. Cooper","doi":"10.1109/ITHERM.2017.7992589","DOIUrl":null,"url":null,"abstract":"Simulation and Experimental studies are performed to evaluate the energy efficiency performance, develop energy conservation measures (ECMs), and conduct overall energy analysis of data centers at the campus of the University of Maryland. Based on the analysis, the PUE (power usage effectiveness) of the data center was found to be 2.72, suggesting ample opportunity for energy saving measures. The IT, cooling, and electrical loads consume 38.5%, 43.3%, and 18.1% of the total data center energy consumption, respectively. Three ECMs are investigated to reduce energy consumption: 1) eliminate unnecessary CRAHs (computer room air conditioning units) in RDC (research data center); 2) eliminate unnecessary CRAHs in SDC (secondary data center); and 3) remove block back flow effect.","PeriodicalId":387542,"journal":{"name":"2017 16th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation and experimental analysis of data centers in academic campus\",\"authors\":\"K. Choo, M. Ohadi, D. Cooper\",\"doi\":\"10.1109/ITHERM.2017.7992589\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Simulation and Experimental studies are performed to evaluate the energy efficiency performance, develop energy conservation measures (ECMs), and conduct overall energy analysis of data centers at the campus of the University of Maryland. Based on the analysis, the PUE (power usage effectiveness) of the data center was found to be 2.72, suggesting ample opportunity for energy saving measures. The IT, cooling, and electrical loads consume 38.5%, 43.3%, and 18.1% of the total data center energy consumption, respectively. Three ECMs are investigated to reduce energy consumption: 1) eliminate unnecessary CRAHs (computer room air conditioning units) in RDC (research data center); 2) eliminate unnecessary CRAHs in SDC (secondary data center); and 3) remove block back flow effect.\",\"PeriodicalId\":387542,\"journal\":{\"name\":\"2017 16th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 16th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITHERM.2017.7992589\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 16th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITHERM.2017.7992589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulation and experimental analysis of data centers in academic campus
Simulation and Experimental studies are performed to evaluate the energy efficiency performance, develop energy conservation measures (ECMs), and conduct overall energy analysis of data centers at the campus of the University of Maryland. Based on the analysis, the PUE (power usage effectiveness) of the data center was found to be 2.72, suggesting ample opportunity for energy saving measures. The IT, cooling, and electrical loads consume 38.5%, 43.3%, and 18.1% of the total data center energy consumption, respectively. Three ECMs are investigated to reduce energy consumption: 1) eliminate unnecessary CRAHs (computer room air conditioning units) in RDC (research data center); 2) eliminate unnecessary CRAHs in SDC (secondary data center); and 3) remove block back flow effect.