{"title":"USING ventilation systems as a demand response technology","authors":"Andreas Losing, S. Baum, I. Stadler","doi":"10.1109/IESC.2016.7569499","DOIUrl":null,"url":null,"abstract":"In this paper the utilization of air condition systems as a demand response technology is presented and analyzed in order to shift electrical loads and attempt the same effect as electricity storage. The objective is to satisfy good air quality in rooms, e.g. CO2 concentrations less than 1000 ppm. This is done by minimizing operation costs for ventilation plants taking electricity exchange prizes into account. An optimum operating schedule is determined by using linear and nonlinear programming methods that are related to operating boundaries, maximum plant power, air condition load by a specific number of persons and electricity prices. The operating schedule is simulated in a Matlab Simulink Ventilation-Room model. Subsequently the electricity demand and the associated costs will be compared with a non-optimized plant schedule to evaluate the usability of a ventilation system as energy storage device.","PeriodicalId":158346,"journal":{"name":"2016 International Energy and Sustainability Conference (IESC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Energy and Sustainability Conference (IESC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESC.2016.7569499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper the utilization of air condition systems as a demand response technology is presented and analyzed in order to shift electrical loads and attempt the same effect as electricity storage. The objective is to satisfy good air quality in rooms, e.g. CO2 concentrations less than 1000 ppm. This is done by minimizing operation costs for ventilation plants taking electricity exchange prizes into account. An optimum operating schedule is determined by using linear and nonlinear programming methods that are related to operating boundaries, maximum plant power, air condition load by a specific number of persons and electricity prices. The operating schedule is simulated in a Matlab Simulink Ventilation-Room model. Subsequently the electricity demand and the associated costs will be compared with a non-optimized plant schedule to evaluate the usability of a ventilation system as energy storage device.