Influencing Human Behaviour to Optimise Energy in Commercial Buildings

Soomro, AM; Paryani, S; Rehman, J; Echeverria, R; Prasad, M; Biloria, N

Influencing Human Behaviour to Optimise Energy in Commercial Buildings

Soomro, AM Paryani, S Rehman, J

Echeverria, R Prasad, M

Biloria, N

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Publisher:: ACIS 2019
Publication Type:: Conference Proceeding
Citation:: https://www.acis2019.org/papers-by-session/, 2019, pp. 901 - 907
Issue Date:: 2019-12-11

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Field	Value	Language
dc.contributor.author	Soomro, AM	en_US
dc.contributor.author	Paryani, S	en_US
dc.contributor.author	Rehman, J https://orcid.org/0000-0002-3397-5707	en_US
dc.contributor.author	Echeverria, R	en_US
dc.contributor.author	Prasad, M https://orcid.org/0000-0001-9719-2253	en_US
dc.contributor.author	Biloria, N https://orcid.org/0000-0003-3152-5187	en_US
dc.date	2019-12-09	en_US
dc.date.issued	2019-12-11	en_US
dc.identifier.citation	https://www.acis2019.org/papers-by-session/, 2019, pp. 901 - 907	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137630
dc.description.abstract	This paper discusses the impact of user energy choices on building energy demand, and how energy choices could be influenced to minimise building energy consumption using information systems. Accordingly, a socio-technical framework is designed and presented, which draws upon the use of energy interventions. A novel Social-Economic-Environmental (SEE) model is presented within the sociotechnical framework which is aimed at nudging inhabitants enabling them to conserve energy in the university buildings, thereby making the world a sustainable place to live. The framework takes into account the Agent-based Modelling (ABM) approach to model user energy choices and their willingness to conserve energy in buildings. This research intends to test the socio-technical framework in the next stage of this study. Finally, this paper highlights gaps and the significance of understanding how user behaviour and their energy consumption can be influenced to optimise energy in university buildings, thereby reducing global greenhouse emissions.	en_US
dc.publisher	ACIS 2019	en_US
dc.relation.ispartof	https://www.acis2019.org/papers-by-session/	en_US
dc.relation.ispartof	Australian Conference on Information Systems 2019	en_US
dc.title	Influencing Human Behaviour to Optimise Energy in Commercial Buildings	en_US
dc.type	Conference Proceeding
utslib.location	Perth_Online	en_US
utslib.location.activity	Perth, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2019-12-11	en_US
pubs.place-of-publication	Perth_Online	en_US
pubs.publication-status	Published online	en_US
pubs.start-date	2019-12-09	en_US

Abstract:

This paper discusses the impact of user energy choices on building energy demand, and how energy choices could be influenced to minimise building energy consumption using information systems. Accordingly, a socio-technical framework is designed and presented, which draws upon the use of energy interventions. A novel Social-Economic-Environmental (SEE) model is presented within the sociotechnical framework which is aimed at nudging inhabitants enabling them to conserve energy in the university buildings, thereby making the world a sustainable place to live. The framework takes into account the Agent-based Modelling (ABM) approach to model user energy choices and their willingness to conserve energy in buildings. This research intends to test the socio-technical framework in the next stage of this study. Finally, this paper highlights gaps and the significance of understanding how user behaviour and their energy consumption can be influenced to optimise energy in university buildings, thereby reducing global greenhouse emissions.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/137630