TY - JOUR
T1 - Automated and continuous BIM-based life cycle carbon assessment for infrastructure design projects
AU - Hussain, Mudasir
AU - Zheng, Bowen
AU - Chi, Hung Lin
AU - Hsu, Shu Chien
AU - Chen, Jieh-Haur
N1 - Funding Information:
The authors would like to acknowledge the Research Grants Council (RGC) of Hong Kong for providing and supporting the first author under “The Hong Kong Polytechnic University (PolyU) Presidential Ph.D. Fellowship Scheme (PPPFS).” In addition, we greatly appreciate the scientific committee of the international conference on Resource Sustainability (icRS) for their constructive suggestions and insightful comments that help us significantly to improve this manuscript.
Publisher Copyright:
© 2022
PY - 2023/3
Y1 - 2023/3
N2 - 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.
AB - 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.
KW - Automatic integration
KW - Building information modeling (BIM)
KW - Multi-objective optimization (MOO)
KW - Parametric life cycle carbon assessment (PLCCA)
KW - Sustainable design
UR - http://www.scopus.com/inward/record.url?scp=85145266381&partnerID=8YFLogxK
U2 - 10.1016/j.resconrec.2022.106848
DO - 10.1016/j.resconrec.2022.106848
M3 - Journal article
AN - SCOPUS:85145266381
SN - 0921-3449
VL - 190
JO - Resources, Conservation and Recycling
JF - Resources, Conservation and Recycling
M1 - 106848
ER -