{"title":"EoD designer: A computation tool for energy optimization of data centers","authors":"Cyrill Grüter, P. Gysel, Matthias Krebs, C. Meier","doi":"10.1109/GREENS.2012.6224252","DOIUrl":null,"url":null,"abstract":"Total energy consumption in a data center is the sum of various components. We consider six main subsystems: Voltage transformer, uninterruptable power supply, IT equipment, computer room air handler, chiller and cooling tower. In this project a mathematical model for all six components was derived. Based on this model, a software tool was developed. It allows to simulate different variants of a data center and to minimize the total energy consumption by optimizing equipment and operating parameters. Thus potential energy savings can be evaluated. Finally the resulting reduction of operation expenses can directly be derived from the energy savings.","PeriodicalId":338856,"journal":{"name":"2012 First International Workshop on Green and Sustainable Software (GREENS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 First International Workshop on Green and Sustainable Software (GREENS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GREENS.2012.6224252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Total energy consumption in a data center is the sum of various components. We consider six main subsystems: Voltage transformer, uninterruptable power supply, IT equipment, computer room air handler, chiller and cooling tower. In this project a mathematical model for all six components was derived. Based on this model, a software tool was developed. It allows to simulate different variants of a data center and to minimize the total energy consumption by optimizing equipment and operating parameters. Thus potential energy savings can be evaluated. Finally the resulting reduction of operation expenses can directly be derived from the energy savings.