A performance data integrated BIM framework for building life-cycle energy efficiency and environmental optimization design

  • Dian Zhuang
  • , Xinkai Zhang
  • , Yongdong Lu
  • , Chao Wang
  • , Xing Jin
  • , Xin Zhou
  • , Xing Shi*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Data-driven green building design in BIM is challenged by the lack of a comprehensive data integration framework with the capabilities of building life-cycle performance data management and application. This paper proposes a performance integrated BIM (P-BIM) framework for building life cycle energy efficiency and environment optimization. A school building is presented as a case study to verify the P-BIM framework and the design optimization workflow established. The results show that the optimization can improve IEQ by 11.5% and reduce LCC by 36.8%. The influences of different envelope constructions on indoor environment, energy consumptions, and costs are also studied. The P-BIM framework and the optimization methodology built on it demonstrate that the methodology developed can expand the application scope of BIM and contribute to data-driven green building design. More application scenarios focusing on the stage of facility management and different sustainability performance will be conducted in P-BIM framework in future works.

Original languageEnglish
Article number103712
JournalAutomation in Construction
Volume127
DOIs
StatePublished - Jul 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Building information modelling
  • Data integration
  • Envelope construction
  • Indoor environmental quality
  • Life cycle cost
  • Multi-objective optimization

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