A Conceptual Framework for Occupant-Centered Building Management Decision Support System

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Abstract

Buildings’ energy consumption makes the largest portion of the overall energy consumption. Commercial buildings are specific and their energy efficiency should not be viewed as a standalone issue. On the contrary, it needs to be viewed in function of the goals of the hosted businesses and organizations. The critical factor for achieving these goals are employees, who are also usually occupants of these buildings and, thus, hold one of the keys to reduced energy consumption. It has been shown that energy-conscious behaviour of building occupants presents a significant opportunity to save energy. Human behaviour is, however, very complex and hard to predict, and there needs to be a set of conditions satisfied for occupants to cooperate on the energy efficiency level. Majority of commercial buildings’ occupants are not directly affected by their energy-consumption related behaviour due to the non-obvious/-direct incentive to reduce energy use and no access to their levels of consumption. In this paper we present a framework for a building energy management decision support system that is motivated by these findings, and therefore, centres the occupants and motivates them to both achieve business-wise and improve their energy-related behaviour.
OriginalsprogEngelsk
TitelIntelligent Enviroments : Workshop Proceedings of the 12th International Conference on Intelligent Environments
RedaktørerPaulo Novais, Shin'ichi Konomi
ForlagIOS Press
Publikationsdato2016
Sider436-445
ISBN (Trykt)978-1-61499-689-7
ISBN (Elektronisk)978-1-61499-690-3
DOI
StatusUdgivet - 2016
BegivenhedInternational Workshop on Computational Sustainability, Technologies and Applications: Held in conjunction with the 12th International Conference on Intelligent Environments - London, Storbritannien
Varighed: 12. sep. 201614. sep. 2016
Konferencens nummer: 12

Konference

KonferenceInternational Workshop on Computational Sustainability, Technologies and Applications
Nummer12
Land/OmrådeStorbritannien
ByLondon
Periode12/09/201614/09/2016
NavnAmbient Intelligence and Smart Environments
Vol/bind21
ISSN1875-4163

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