Assessing energy-saving measures in buildings through an intelligent decision support model

Doukas, H; Nychtis, C; Psarras, J

dc.contributor.author	Doukas, H	en
dc.contributor.author	Nychtis, C	en
dc.contributor.author	Psarras, J	en
dc.date.accessioned	2014-03-01T01:29:53Z
dc.date.available	2014-03-01T01:29:53Z
dc.date.issued	2009	en
dc.identifier.issn	0360-1323	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19392
dc.subject	Building energy Management systems	en
dc.subject	Energy efficiency	en
dc.subject	Intelligent models	en
dc.subject.classification	Construction & Building Technology	en
dc.subject.classification	Engineering, Environmental	en
dc.subject.classification	Engineering, Civil	en
dc.subject.other	Administrative data processing	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Buildings	en
dc.subject.other	Decision making	en
dc.subject.other	Decision support systems	en
dc.subject.other	Decision theory	en
dc.subject.other	Energy efficiency	en
dc.subject.other	Energy management	en
dc.subject.other	Energy utilization	en
dc.subject.other	Management	en
dc.subject.other	Management information systems	en
dc.subject.other	Model buildings	en
dc.subject.other	Office buildings	en
dc.subject.other	Problem solving	en
dc.subject.other	Three term control systems	en
dc.subject.other	Athens , Greece	en
dc.subject.other	Building administrations	en
dc.subject.other	Building energy Management systems	en
dc.subject.other	Building sectors	en
dc.subject.other	Computerized decisions	en
dc.subject.other	Decision makers	en
dc.subject.other	Energy consumptions	en
dc.subject.other	Energy intensities	en
dc.subject.other	Energy savings	en
dc.subject.other	Energy-efficient	en
dc.subject.other	Environmental Friendly	en
dc.subject.other	Existing buildings	en
dc.subject.other	In buildings	en
dc.subject.other	Intelligent decision supports	en
dc.subject.other	Intelligent models	en
dc.subject.other	Management processes	en
dc.subject.other	Pilot applications	en
dc.subject.other	Strategic decision makings	en
dc.subject.other	User requirements	en
dc.subject.other	Energy conservation	en
dc.subject.other	artificial intelligence	en
dc.subject.other	building	en
dc.subject.other	decision support system	en
dc.subject.other	efficiency measurement	en
dc.subject.other	energy efficiency	en
dc.subject.other	numerical model	en
dc.subject.other	performance assessment	en
dc.subject.other	strategic approach	en
dc.title	Assessing energy-saving measures in buildings through an intelligent decision support model	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.buildenv.2008.03.006	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.buildenv.2008.03.006	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	Indeed, in the recent years, important efforts in applying energy management processes have been focused on the building sector, which demonstrates the increasing energy intensity and energy consumption indexes. The role of the building energy management systems (BEMS) is known and significant in this respect, for the management of the daily energy operations of a typical building. Effective energy management however requires the use of tools and methodologies that support the strategic decision making process of selecting energy saving measures, which are viable and environmental friendly. The aim of this paper is the presentation of an innovative intelligent decision support model for the identification of the need for intervention and further evaluation of energy saving measures in a typical existing building, based on the systematic incorporation of BEMS data (loads, demands and user requirements). The operation of the model is supportive to the decision makers authorized with the energy-efficient performance of the building and responsible for its management (energy auditors and building administration). In addition, the corresponding computerized decision support system and the appraisal of its pilot application to a typical existing office building in Athens, Greece, are presented and discussed. (C) 2008 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.2008.03.006	en
dc.identifier.isi	ISI:000262964800008	en
dc.identifier.volume	44	en
dc.identifier.issue	2	en
dc.identifier.spage	290	en
dc.identifier.epage	298	en