Case Studies
Apr 2, 2018

Framework for Using Building Information Modeling to Create a Building Energy Model

Publication: Journal of Architectural Engineering
Volume 24, Issue 2

Abstract

The use of building information modeling (BIM) to create a building energy model (BEM) compared with traditional simulation practices offers significant timesaving potentials by minimizing efficiency issues, legal disputes, added costs, and delays. The BIM-BEM strategy avoids remodeling the building to create the BEM by exchanging architectural information to complete the energy analysis. However, most existing frameworks do not simultaneously describe the BIM-BEM process and related technical aspects to be followed during the design process. Therefore, this paper proposes a comprehensive BIM-BEM framework initially created based on theoretical and field investigations and then enhanced by a trial investigation using a testing case. The proposed framework is illustrated in an easy-to-follow process map that includes work/data flows and specifies data exchangers and information requirements. The framework is validated using a complex case study to demonstrate its applicability for different BEM tools. The proposed framework intends to provide the industry with a useful and generic process for BIM-BEM that enables professionals to create proper BIM and BEM to complete energy analysis during the design process.

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Go to Journal of Architectural Engineering
Journal of Architectural Engineering
Volume 24Issue 2June 2018

History

Received: Aug 3, 2017
Accepted: Dec 8, 2017
Published online: Apr 2, 2018
Published in print: Jun 1, 2018
Discussion open until: Sep 2, 2018

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Authors

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Ph.D. Candidate, Dept. of Construction Engineering, Univ. of Quebec École de Technologie Supérieure (ÉTS), 1100 Notre-Dame West, Montreal, QC, Canada H3C-1K3 (corresponding author). ORCID: https://orcid.org/0000-0001-8697-9931. E-mail: [email protected]
Jean Carriere [email protected]
President of Trilloop Company, LEED Associate, 167 Saltspring Private, Ottawa, ON, Canada K2M 0B1. E-mail: [email protected]
Daniel Forgues, Ph.D. [email protected]
Professor, Univ. of Quebec École de Technologie Supérieure (ÉTS), 1100 Notre-Dame West, Montreal, QC, Canada H3C-1K3. E-mail: [email protected]
Danielle Monfet, Ph.D. [email protected]
Professor, Univ. of Quebec École de Technologie Supérieure (ÉTS), 1100 Notre-Dame West, Montreal, QC, Canada H3C-1K3. E-mail: [email protected]

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