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https://scholarbank.nus.edu.sg/handle/10635/223790
DC Field | Value | |
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dc.title | A BIM-BASED CONVERSION METHOD TO USE OVERSEAS LIFE CYCLE INVENTORIES FOR LIFE CYCLE ASSESSMENT OF LOCAL CONSTRUCTION MATERIALS | |
dc.contributor.author | LE VAN HIEU | |
dc.date.accessioned | 2015-06-25T03:47:33Z | |
dc.date.accessioned | 2022-04-22T20:42:11Z | |
dc.date.available | 2019-09-26T14:14:13Z | |
dc.date.available | 2022-04-22T20:42:11Z | |
dc.date.issued | 2015-06-25 | |
dc.identifier.citation | LE VAN HIEU (2015-06-25). A BIM-BASED CONVERSION METHOD TO USE OVERSEAS LIFE CYCLE INVENTORIES FOR LIFE CYCLE ASSESSMENT OF LOCAL CONSTRUCTION MATERIALS. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/223790 | |
dc.description.abstract | The worldwide awareness of the impact of buildings and infrastructure on the environment has increased the need for construction industry’s professionals to embrace sustainable practices. As a result, Life Cycle Assessment (LCA) as a comprehensive environmental assessment approach has been widely adopted to evaluate the environmental impacts of many building materials. In many cases, a local life cycle inventory (LCI) is not available and utilizations of overseas LCI have become an effective way to create a localized inventory. Benefited from the development of IT applications in construction industry, combining Building Information Modelling (BIM) and automatic LCA is gaining more recognitions in the construction industry. However, the lack of proven benefits of BIM and overseas LCI in terms of accuracy and efficiency and the insufficiency of methodological frameworks still cause many challenges for LCA practitioners. This study aims to develop a framework which makes use of BIM models and non-local LCI data existing in commercial LCA software to compute total emission generated from the production and transportation of construction materials. Inputs, outputs and data conversion methods are analyzed in a detailed manner. Applications of each stage in different scenarios are also discussed with various examples. A case study in Singapore which focuses on carbon emissions generated from cement production and transportation is employed to showcase how the proposed framework could be applied in LCA practice. Results obtained from the case study are compared with currently available benchmarks to verify the framework’s feasibility. Sensitivity analysis is conducted to evaluate the robustness of the results in the presence of uncertainty. Finally, contributions to existing knowledge, recommendations and policy-making lessons are delineated. | |
dc.language.iso | en | |
dc.source | https://lib.sde.nus.edu.sg/dspace/handle/sde/3125 | |
dc.subject | Building | |
dc.subject | PFM | |
dc.subject | Project and Facilities Management | |
dc.subject | Lu Yujie | |
dc.subject | 2014/2015 PFM | |
dc.subject | Building information modelling (BIM) | |
dc.subject | Carbon Emissions | |
dc.subject | Data Conversion | |
dc.subject | Life Cycle Assessment (LCA) | |
dc.subject | Life Cycle Inventories (LCI) | |
dc.type | Dissertation | |
dc.contributor.department | BUILDING | |
dc.contributor.supervisor | LU YUJIE | |
dc.description.degree | Bachelor's | |
dc.description.degreeconferred | BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) | |
dc.embargo.terms | 2015-07-17 | |
Appears in Collections: | Bachelor's Theses |
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Le Van Hieu 2014-2015.pdf | 1.52 MB | Adobe PDF | RESTRICTED | None | Log In |
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