Приказ основних података о документу

dc.creatorZlatanović, Ivan
dc.creatorGligorević, Kosta
dc.creatorIvanović, Sanjin
dc.creatorRudonja, Nedžad
dc.date.accessioned2020-12-17T20:14:31Z
dc.date.available2020-12-17T20:14:31Z
dc.date.issued2011
dc.identifier.issn0378-7788
dc.identifier.urihttp://aspace.agrif.bg.ac.rs/handle/123456789/2706
dc.description.abstractEnergy saving estimation model (ESEM) use normal distribution (Gaussian) probability theory to predict potential savings for previously determined system improvements. Those improvements are low/high cost investments based on data gathered during one year monitoring of typical hypermarket facility HVAC system. The consumption of electrical energy and natural gas has been monitored and system segments with largest amount of energy consumption have been marked. Gathered data pointed out to fan units as the biggest energy consumers and suggested that system energy-saving improvement must be focused on fans energy consumption control. This paper deals with ESEM inputs and outputs in order to provide correct financial estimation of specific investment.en
dc.publisherElsevier Science Sa, Lausanne
dc.rightsrestrictedAccess
dc.sourceEnergy and Buildings
dc.subjectHypermarket energy consumptionen
dc.subjectHVAC optimizationen
dc.subjectEstimation modelen
dc.subjectCost-effectivenessen
dc.subjectGaussianen
dc.titleEnergy-saving estimation model for hypermarket HVAC systems applicationsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage3359
dc.citation.issue12
dc.citation.other43(12): 3353-3359
dc.citation.rankaM21
dc.citation.spage3353
dc.citation.volume43
dc.identifier.doi10.1016/j.enbuild.2011.08.035
dc.identifier.scopus2-s2.0-80755132258
dc.identifier.wos000298268600008
dc.type.versionpublishedVersion


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Приказ основних података о документу