Intelligent building energy management system using rule sets

Doukas, H; Patlitzianas, KD; Iatropoulos, K; Psarras, J

dc.contributor.author	Doukas, H	en
dc.contributor.author	Patlitzianas, KD	en
dc.contributor.author	Iatropoulos, K	en
dc.contributor.author	Psarras, J	en
dc.date.accessioned	2014-03-01T01:26:29Z
dc.date.available	2014-03-01T01:26:29Z
dc.date.issued	2007	en
dc.identifier.issn	0360-1323	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18104
dc.subject	Building energy management systems	en
dc.subject	Intelligent models	en
dc.subject	Rule sets	en
dc.subject.classification	Construction & Building Technology	en
dc.subject.classification	Engineering, Environmental	en
dc.subject.classification	Engineering, Civil	en
dc.subject.other	Decision support systems	en
dc.subject.other	Energy conservation	en
dc.subject.other	Energy utilization	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Mathematical models	en
dc.subject.other	Building energy management system	en
dc.subject.other	Rule sets	en
dc.subject.other	Intelligent buildings	en
dc.subject.other	Decision support systems	en
dc.subject.other	Energy conservation	en
dc.subject.other	Energy utilization	en
dc.subject.other	Intelligent buildings	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Mathematical models	en
dc.subject.other	building	en
dc.subject.other	decision support system	en
dc.subject.other	energy efficiency	en
dc.subject.other	energy use	en
dc.subject.other	guideline	en
dc.subject.other	modeling	en
dc.subject.other	Eurasia	en
dc.subject.other	Europe	en
dc.subject.other	Greece	en
dc.subject.other	Southern Europe	en
dc.title	Intelligent building energy management system using rule sets	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.buildenv.2006.10.024	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.buildenv.2006.10.024	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	The current study presents an intelligent decision support model using rule sets based on a typical building energy management system. In addition, the model's impact on the energy consumption and indoor quality of a typical office building in Greece is presented. The model can control how the building operational data deviates from the settings as well as carry out diagnosis of internal conditions and optimize building's energy operation. In this context, the integrated ""decision support model"" can contribute to the management of the daily energy operations of a typical building, related to the energy consumption, by incorporating the following requirements in the best possible way: (a) the guarantee of the desirable levels of living quality in all building's rooms and (b) the necessity for energy savings. © 2006 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Building and Environment	en
dc.identifier.doi	10.1016/j.buildenv.2006.10.024	en
dc.identifier.isi	ISI:000248145600013	en
dc.identifier.volume	42	en
dc.identifier.issue	10	en
dc.identifier.spage	3562	en
dc.identifier.epage	3569	en