Journal
RESOURCES CONSERVATION AND RECYCLING
Volume 190, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.resconrec.2022.106848
Keywords
Building information modeling (BIM); Parametric life cycle carbon assessment; (PLCCA); Sustainable design; Multi -objective optimization (MOO); Automatic integration
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BIM-LCA integration facilitates sustainability indicators in infrastructure projects, but 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. The model incorporates emission factors as additional design parameters in the BIM-model and uses parameterized inputs to dynamically calculate carbon emissions. Multi-objective optimization is used to optimize design parameters and facilitate early decisions, reducing carbon emissions by 32.94% and 28.40% in the production and operational phases of a tunnel in Yunnan, China.
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-carbonassessment (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.
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