Automated openBIM-based discrete event simulation modeling for cradle-to-site embodied carbon assessment

Yuqing Xu, Xingbo Gong, Xingyu Tao, Helen H.L. Kwok, Charinee Limsawasd, Jack C.P. Cheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Assessing cradle-to-site embodied carbon (EC) emissions enables stakeholders to make carbon-reduction decisions early. Discrete event simulation (DES) is useful for analyzing cradle-to-site EC by simulating construction operations. However, developing a DES model for cradle-to-site EC assessment in construction projects is time-consuming and error-prone. Therefore, this paper proposes an automated openBIM-based DES modeling approach. It starts with developing an integrated ontology of EC assessment, building information modeling (BIM) elements, and DES modeling to identify data requirements. It is followed by a BIM data verification flow using open standards, including extending Industry Foundation Classes (IFC) files and checking data integrity in IFC. Lastly, a general IFC-to-XML conversion tool is developed to convert processed IFC inputs into XML files, enabling the automation of DES modeling for cradle-to-site EC assessment. This openBIM-based DES solution was demonstrated in an actual project building. The results indicate that our approach can significantly improve DES modeling efficiency.

Original languageEnglish
Article number106217
JournalAutomation in Construction
Volume175
DOIs
Publication statusPublished - Jul 2025

Keywords

  • Building information modeling (BIM)
  • Carbon management
  • Discrete event simulation (DES)
  • openBIM

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

Fingerprint

Dive into the research topics of 'Automated openBIM-based discrete event simulation modeling for cradle-to-site embodied carbon assessment'. Together they form a unique fingerprint.

Cite this