Demand Side Management for Thermally Activated Building Systems Based on Multiple Linear Regression

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摘要 Thebuildingsectoranditsheatingandcoolingrepresentoneofthemajorconsumerofenergyworldwide.Simultaneously,theshareoffluctuatinggenerationofrenewableenergiesintheenergymixincreases.Thereforestorageanddemandsidemanagementtechnologiesarerequired.Thenewadaptiveandpredictivecontrolalgorithmforthermallyactivatedbuildingsystems(TABS)basedonmultiplelinearregression(AMLR)presentedinthispaperenablestheapplicationofdemandsidemanagement(DSM)strategies.Basedonsimulations,differentstrategieshavebeencomparedwitheachother.ByapplyingtheAMLRalgorithm,electricityenergycostsavingsof38%couldbeachievedcomparedtotheconventionalcontrolstrategyforTABS,whileincreasingthethermalcomfort.Atthesametime,thermalenergydemandcanbereducedintherangebetween4%to8%,andpumpoperationtimefrom86%to89%.
机构地区 不详
出版日期 2015年04月14日(中国期刊网平台首次上网日期,不代表论文的发表时间)