A feasibility study of Building Information Modeling for Green Mark New Non-Residential Building (NRB): 2015 analysis. (December 2017)

• Record Type: Journal Article
• Authors: Liu, Ziwen; Chen, Dr. Keyu; Peh, Dr. Luke; Tan, Dr. Kee Wee
• Is Part Of: Energy procedia. Volume 143(2017)
• Page Start: 80
• Page End: 87
• Publication Date: 2017-12
• Subjects: Sustainable Building -- BCA Green Mark -- Delphi Method -- Building Performance Analysis -- BIM; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2017.12.651
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: Building Information Modelling (BIM) and sustainable buildings are two future cornerstones of the Architectural, Engineering and Construction (AEC) industry. Considering the current challenge in assessing the sustainable level of new buildings, as well as the emergence of digital-based project delivery and operation, this research intends to study the integration of BIM and sustainability assessment framework: its feasibility, AEC industry's perception and possible approach. The AEC industry is inherently fragmented and the collection of such a large amount of data from different groups of professionals and stakeholders can be a huge challenge. This study adopted a feasibility survey using the Delphi method to investigate the application of BIM technology to assist the green building certification process under the Building and Construction Authority (BCA) of Singapore's Green Mark scheme, and focused on New Non-Residential Building (NRB) 2015. It started with a feasibility survey by soliciting AEC professionals' perception in terms of applying BIM for Green Mark assessment. Following that, face-to-face interviews were conducted among the Delphi experts for in-depth information. The study found that 31 Green Mark items out of 78 total items could be achieved with the support of BIM authoring tool (i.e. Autodesk Revit) and BIM-based Building Performance Analysis (BPA) tools.