4.7 Article

Developing an automated BIM-based life cycle assessment approach for modularly designed high-rise buildings

期刊

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.eiar.2021.106618

关键词

Life cycle assessment; Building information modelling (BIM); Cumulative energy demand; Global warming potential

资金

  1. Research Institute for Sustainable Urban Devel-opment (RISUD) of The Hong Kong Polytechnic University
  2. Australian Research Council DECRA Fellowship [DE200101597]
  3. Open University of Hong Kong Research Grant [2020/1.3]
  4. Australian Research Council [DE200101597] Funding Source: Australian Research Council

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Modular construction and digital technologies such as BIM are being explored for energy and environmental benefits. This study aims to develop a BIM-based automated LCA method for prefabricated buildings, supporting systematic assessment of energy and environmental performance throughout the building's lifecycle.
Modular construction has attracted increasing attention due to its energy and environmental benefits. Digital technologies such as building information modelling (BIM) have also been explored to generate and manage data through the lifecycle of buildings. Although research has been performed in the area of integrating BIM and modular construction, BIM-based automated lifecycle assessment (LCA) of prefabricated buildings remains unexplored. This study therefore aims to develop a BIM-based LCA method for prefabricated buildings incorporating different assessment levels with unique system boundaries and functional units. The developed approach can support automated assessments through all lifecycle phases of a prefabricated building. It is achieved through an automated process of creating parameters to merge LCA data into the building model, systematic zoning, model setup and impact estimation. This approach is applied to evaluate the energy and environmental performances of a case building in Hong Kong. The case study validated the efficiency of the developed BIMbased LCA method in providing a systematic and detailed assessment of modularly designed buildings. This study extends the knowledge in automated BIM-based LCA by addressing specific characteristics of prefabrication and promotes the incorporation of comprehensive and detailed LCA data into BIM models for improved design robustness and holistic performances of buildings. This validated approach will enhance the willingness of designers to apply LCA during the design stages for minimizing the energy and environmental impacts of both new and renovated buildings with prefabrication.

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