Automated and continuous BIM-based life cycle carbon assessment for infrastructure design projects

Mudasir Hussain, Bowen Zheng, Hung Lin Chi, Shu Chien Hsu, Jieh-Haur Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

BIM-LCA integration facilitates sustainability indicators in infrastructure projects; however, BIM-LCA integration poses interoperability and information exchange issues. This study develops a parametric-life-cycle-carbon-assessment (PLCCA) model for automating data-integration, dynamic-computations, and online-visualization of carbon emissions. Emission factors (EFs) are systematically integrated as additional design parameters in the BIM-model. Carbon emissions are dynamically calculated using parameterized inputs. Rhino-Grasshopper plugins generate real-time bar charts and color codes inside BIM-environments. Multi-objective optimization (MOO) incorporates carbon emissions, materials, energy, and cost to optimize design parameters and facilitate early decisions. The performance and applicability of PLCCA are evaluated using a tunnel in Yunnan, China. Production and operational stages account for 30% and 65% of carbon emissions. Tunnel is then remodeled with optimized parameters; carbon emissions are recalculated to reduce environmental effects. Carbon emissions in the production and operational phases are reduced by 32.94% and 28.40%. This research educates project stakeholders on low-carbon techniques to attain carbon neutrality.

Original languageEnglish
Article number106848
JournalResources, Conservation and Recycling
Volume190
DOIs
Publication statusPublished - Mar 2023

Keywords

  • Automatic integration
  • Building information modeling (BIM)
  • Multi-objective optimization (MOO)
  • Parametric life cycle carbon assessment (PLCCA)
  • Sustainable design

ASJC Scopus subject areas

  • Waste Management and Disposal
  • Economics and Econometrics

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