Developing an artificial intelligence-based decision making tool for energy optimization of residential buildings in BIM

Banihashemi Namini, S; Ding, GK; Wang, J

Developing an artificial intelligence-based decision making tool for energy optimization of residential buildings in BIM

Banihashemi Namini, S

Ding, GK

Wang, J

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Publisher:: Royal Institution of Chartered Surveyors
Publication Type:: Conference Proceeding
Citation:: The Construction, Building and Real Estate Research Conference of the Royal Institution of Chartered Surveyors, The Australasian Universities' Building Educators Association Conference, 2015, pp. 1 - 8
Issue Date:: 2015-07-08

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Field	Value	Language
dc.contributor.author	Banihashemi Namini, S https://orcid.org/0000-0002-7438-1235	en_US
dc.contributor.author	Ding, GK https://orcid.org/0000-0003-2697-9395	en_US
dc.contributor.author	Wang, J https://orcid.org/0000-0002-6282-0456	en_US
dc.date	2015-07-08	en_US
dc.date.issued	2015-07-08	en_US
dc.identifier.citation	The Construction, Building and Real Estate Research Conference of the Royal Institution of Chartered Surveyors, The Australasian Universities' Building Educators Association Conference, 2015, pp. 1 - 8	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43350
dc.description.abstract	In the recent decade, the potential of saving energy by systematic building management is known to be significant and this task should be considered throughout the lifecycle of a building. However, the most effective decisions related to sustainable design of a building facility are made in the feasibility and early design stages. Using building information modelling can expedite this process and provide the opportunity of testing and assessing different design alternatives and materials selection that may impact on energy performance of buildings. Thus, to proactively rectify building performance issues and improve energy efficiency, there is a need for robust methods that can assist with detection, measurement and optimization of energy performance during the early design stage. The main goal for this paper is to study the possibility of interactions between BIM and energy efficient buildings out of application of cutting-edge technologies such as artificial intelligene methods and develop a framework of this interaction as the downstream to establish a better connection among sustainability and information theories as the upstream. Therefore, through this study, a well-established framework that gives a schematic knowledge of BIM applicability in terms of sustainability and energy optimization through utilizing new computational algorithims will be presented.	en_US
dc.publisher	Royal Institution of Chartered Surveyors	en_US
dc.relation.ispartof	The Construction, Building and Real Estate Research Conference of the Royal Institution of Chartered Surveyors, The Australasian Universities' Building Educators Association Conference	en_US
dc.relation.ispartof	Australian Universities Building Education Association Annual Conference	en_US
dc.title	Developing an artificial intelligence-based decision making tool for energy optimization of residential buildings in BIM	en_US
dc.type	Conference Proceeding
utslib.location	London	en_US
utslib.location.activity	Sydney, 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	2015-07-10	en_US
pubs.place-of-publication	London	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2015-07-08	en_US

Abstract:

In the recent decade, the potential of saving energy by systematic building management is known to be significant and this task should be considered throughout the lifecycle of a building. However, the most effective decisions related to sustainable design of a building facility are made in the feasibility and early design stages. Using building information modelling can expedite this process and provide the opportunity of testing and assessing different design alternatives and materials selection that may impact on energy performance of buildings. Thus, to proactively rectify building performance issues and improve energy efficiency, there is a need for robust methods that can assist with detection, measurement and optimization of energy performance during the early design stage. The main goal for this paper is to study the possibility of interactions between BIM and energy efficient buildings out of application of cutting-edge technologies such as artificial intelligene methods and develop a framework of this interaction as the downstream to establish a better connection among sustainability and information theories as the upstream. Therefore, through this study, a well-established framework that gives a schematic knowledge of BIM applicability in terms of sustainability and energy optimization through utilizing new computational algorithims will be presented.

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http://hdl.handle.net/10453/43350