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

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...

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Veröffentlicht in:Automation in construction 2021-07, Vol.127, p.103712, Article 103712
Hauptverfasser: Zhuang, Dian, Zhang, Xinkai, Lu, Yongdong, Wang, Chao, Jin, Xing, Zhou, Xin, Shi, Xing
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Sprache:eng
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Zusammenfassung: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. •The lack of performance data integration in BIM hinders green building design.•A green building performance data integrated BIM (P-BIM) framework is proposed.•P-BIM prototype of a general multi-objective optimization model is developed.•A case study in a school building is conducted to verify the efficacy of P-BIM.•A variable-controlling approach is applied to analyze envelope influences.
ISSN:0926-5805
1872-7891
DOI:10.1016/j.autcon.2021.103712