BIM AND OPTIMISATION TECHNIQUES TO IMPROVE SUSTAINABILITY IN GREEN CERTIFICATION SUBMISSION OF CONSTRUCTION PROJECTS

Zhang, G and Sandanayake, M 2018, 'BIM AND OPTIMISATION TECHNIQUES TO IMPROVE SUSTAINABILITY IN GREEN CERTIFICATION SUBMISSION OF CONSTRUCTION PROJECTS', in The 7th World Construction Symposium 2018: Built Asset Sustainability: Rethinking Design, Construction and Operations, Colombo, Sri Lanka, 29 June - 1 July 2018, pp. 105-115.


Document type: Conference Paper
Collection: Conference Papers

Title BIM AND OPTIMISATION TECHNIQUES TO IMPROVE SUSTAINABILITY IN GREEN CERTIFICATION SUBMISSION OF CONSTRUCTION PROJECTS
Author(s) Zhang, G
Sandanayake, M
Year 2018
Conference name The 7th World Construction Symposium 2018: Built Asset Sustainability: Rethinking Design, Construction and Operations
Conference location Colombo, Sri Lanka
Conference dates 29 June - 1 July 2018
Proceedings title The 7th World Construction Symposium 2018: Built Asset Sustainability: Rethinking Design, Construction and Operations
Publisher Ceylon Institute of Builders
Place of publication Sri Lanka
Start page 105
End page 115
Total pages 11
Abstract Green Buildings are gaining popularity in the construction industry as a result of strict environment protocols and carbon neutral policies by the governments across the globe. In Australia alone, since the introduction of Green Star Certification 5.5 million square metres of buildings have been certified as green buildings. With more stakeholders involved, the green certification submission process has become more complicated with less focus on triple bottom line approach of sustainability. Research has shown that 85% of the green submissions are concentrated on environmental sustainability with less significance on economic and social aspects. Building Information Modelling (BIM) is a cutting-edge technology that allows effective decision making. The proposed research aims to develop a BIM model that can improve the sustainable decision making during green certification processes. Multi-objective optimisation techniques were developed to optimise the best design solution for different design criteria. A case study is employed to verify the functions of the platform suggested in the study. The results of the case study indicated a combination of green design options provide a maximum of 4.54% GHG emission reduction per unit cost increase. The outcomes of the research will be important to organizations who are keen on improving the environmental sustainability while minimising the economic implications.
Subjects Infrastructure Engineering and Asset Management
Keyword(s) Building Information Modelling
Cost
Green Buildings
Greenhouse Gas
Sustainability
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