Developing a Framework of Artificial Intelligence Application for Delivering Energy Efficient Buildings through Active BIM

Saeed BANIHASHEMI, Grace Ding, Jianguo Wang

Research output: A Conference proceeding or a Chapter in BookConference contribution

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.
Original languageEnglish
Title of host publicationRICS COBRA AUBEA 2015
EditorsSara Wilkinson
Place of PublicationLondon, UK
PublisherRICS
Pages1-8
Number of pages8
ISBN (Print)9781783210718
Publication statusPublished - 2015
Externally publishedYes
EventRICS COBRA 2015 - Sydney, Australia
Duration: 8 Jul 2015 → …

Conference

ConferenceRICS COBRA 2015
CountryAustralia
CitySydney
Period8/07/15 → …

Fingerprint

Artificial intelligence
Sustainable development
Information theory
Schematic diagrams
Energy efficiency
Energy conservation
Testing
Ecodesign

Cite this

BANIHASHEMI, S., Ding, G., & Wang, J. (2015). Developing a Framework of Artificial Intelligence Application for Delivering Energy Efficient Buildings through Active BIM. In S. Wilkinson (Ed.), RICS COBRA AUBEA 2015 (pp. 1-8). London, UK: RICS.
BANIHASHEMI, Saeed ; Ding, Grace ; Wang, Jianguo. / Developing a Framework of Artificial Intelligence Application for Delivering Energy Efficient Buildings through Active BIM. RICS COBRA AUBEA 2015. editor / Sara Wilkinson. London, UK : RICS, 2015. pp. 1-8
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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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BANIHASHEMI, S, Ding, G & Wang, J 2015, Developing a Framework of Artificial Intelligence Application for Delivering Energy Efficient Buildings through Active BIM. in S Wilkinson (ed.), RICS COBRA AUBEA 2015. RICS, London, UK, pp. 1-8, RICS COBRA 2015, Sydney, Australia, 8/07/15.

Developing a Framework of Artificial Intelligence Application for Delivering Energy Efficient Buildings through Active BIM. / BANIHASHEMI, Saeed; Ding, Grace; Wang, Jianguo.

RICS COBRA AUBEA 2015. ed. / Sara Wilkinson. London, UK : RICS, 2015. p. 1-8.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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AU - Ding, Grace

AU - Wang, Jianguo

PY - 2015

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N2 - 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.

AB - 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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BANIHASHEMI S, Ding G, Wang J. Developing a Framework of Artificial Intelligence Application for Delivering Energy Efficient Buildings through Active BIM. In Wilkinson S, editor, RICS COBRA AUBEA 2015. London, UK: RICS. 2015. p. 1-8