Identification of BIM-Compatible Variables for Energy Optimization of Residential Buildings: A Delphi Study

Banihashemi Namini, SS; Ding, GKC; Wang, J

Identification of BIM-Compatible Variables for Energy Optimization of Residential Buildings: A Delphi Study

Banihashemi Namini, SS

Ding, GKC

Wang, J

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Publisher:: Central Queensland University
Publication Type:: Conference Proceeding
Citation:: AUBEA 2016 The 40th Australasian Universities Building Education Association Conference, 2016, pp. 281 - 291 (10)
Issue Date:: 2016-07-08

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Field	Value	Language
dc.contributor.author	Banihashemi Namini, SS https://orcid.org/0000-0002-7438-1235	en_US
dc.contributor.author	Ding, GKC https://orcid.org/0000-0003-2697-9395	en_US
dc.contributor.author	Wang, J https://orcid.org/0000-0002-6282-0456	en_US
dc.contributor.editor	Singhaputtangkul, N	en_US
dc.date	2016-07-06	en_US
dc.date.issued	2016-07-08	en_US
dc.identifier.citation	AUBEA 2016 The 40th Australasian Universities Building Education Association Conference, 2016, pp. 281 - 291 (10)	en_US
dc.identifier.isbn	978-1-921047-13-8	en_US
dc.identifier.issn	2204-9029	en_US
dc.identifier.uri	http://hdl.handle.net/10453/52962
dc.description.abstract	It is believed that drawing an applicable, relevant and coherent batch of variables is a fundamental tenet in the success of having an integrated BIM-based energy optimisation but in order to achieve a high level of usefulness, these variables need to be refined and prioritised. Thus, this paper is to investigate BIM compatible variables which are of top priorities for energy optimisation of residential buildings in the design stage. A sequential exploratory research was conducted to find out the most relevant and significant variables that have a high impact on the energy consumption of residential buildings. A pool including more than 30 variables was established and refined through running Delphi approach with energy and BIM experts to reach the final list of prioritized variables. Conducting a three-round Delphi enabled authors to obtain more meticulous results via a consensus agreement among the respondents on the top 13 variables through lenses of BIM compatibility, applicability to optimization and design stage.	en_US
dc.publisher	Central Queensland University	en_US
dc.relation.ispartof	AUBEA 2016 The 40th Australasian Universities Building Education Association Conference	en_US
dc.relation.ispartof	Australian Universities Building Education Association Annual Conference	en_US
dc.title	Identification of BIM-Compatible Variables for Energy Optimization of Residential Buildings: A Delphi Study	en_US
dc.type	Conference Proceeding
utslib.location	North Rockhampton, Queensland	en_US
utslib.location.activity	Cairns, Australia	en_US
utslib.for	1099 Other Technology	en_US
utslib.for	090904 Navigation and Position Fixing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/e-Press
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 Built Environment
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 Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Strength - CCDP - Contemporary Design Practice
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2016-07-08	en_US
pubs.place-of-publication	North Rockhampton, Queensland	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2016-07-06	en_US

Abstract:

It is believed that drawing an applicable, relevant and coherent batch of variables is a fundamental tenet in the success of having an integrated BIM-based energy optimisation but in order to achieve a high level of usefulness, these variables need to be refined and prioritised. Thus, this paper is to investigate BIM compatible variables which are of top priorities for energy optimisation of residential buildings in the design stage. A sequential exploratory research was conducted to find out the most relevant and significant variables that have a high impact on the energy consumption of residential buildings. A pool including more than 30 variables was established and refined through running Delphi approach with energy and BIM experts to reach the final list of prioritized variables. Conducting a three-round Delphi enabled authors to obtain more meticulous results via a consensus agreement among the respondents on the top 13 variables through lenses of BIM compatibility, applicability to optimization and design stage.

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http://hdl.handle.net/10453/52962