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A Semantic and Social Approach for Real-Time Green Building Rating in BIM-Based Design

Author

Listed:
  • Daxin Zhang

    (Tianjin University Research Institute of Architectural Design and Urban Planning, Tianjin University, 192 AnShanXi Road, Tianjin 300073, China
    These authors have equal contribution to this paper.)

  • Jinyue Zhang

    (Tianjin University-Trimble Joint Laboratory for BIM, Department of Construction Management, Tianjin University, 92 Weijin Road, Tianjin 300072, China
    These authors have equal contribution to this paper.)

  • Jianing Guo

    (China Railway Construction Group Co., Ltd., 20 Shijingshan Road, Beijing 100040, China)

  • Haiming Xiong

    (Guangxi Hualan Engineering Management Co., Ltd., 23-39 Huadong Road, Nanning 530011, China)

Abstract

While many countries have developed green building rating systems (GBRSs) to promote the concept of green buildings, it is difficult for designers to achieve better sustainability in the design process when using the real-time green building rating score as a reference. This paper proposes an intelligent green building rating (iGBR) framework supported by a semantic and social approach to realize real-time rating in building design. The framework features four components: (1) An ontology that is used to encapsulate the knowledge of green building rating, (2) score calculation rules that are encoded in Semantic Web Rule Language (SWRL), (3) Autodesk Forge , which is employed as a building information modeling (BIM)–based design platform to synchronize design models from different professions in the cloud, and (4) a group chat tool to connect all project participants in a social communication environment to effectively exchange data/information required for score calculation. A prototype iGBR system is developed based on the Evaluation Standard for Green Building of China (ESGBC) to verify the framework, so that a total of 95 articles can be assessed automatically in the real-time approach.

Suggested Citation

  • Daxin Zhang & Jinyue Zhang & Jianing Guo & Haiming Xiong, 2019. "A Semantic and Social Approach for Real-Time Green Building Rating in BIM-Based Design," Sustainability, MDPI, vol. 11(14), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3973-:d:250665
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    References listed on IDEAS

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    1. Cabeza, Luisa F. & Rincón, Lídia & Vilariño, Virginia & Pérez, Gabriel & Castell, Albert, 2014. "Life cycle assessment (LCA) and life cycle energy analysis (LCEA) of buildings and the building sector: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 394-416.
    2. Yuchul Jung & Cinyoung Hur & Mucheol Kim, 2018. "Sustainable Situation-Aware Recommendation Services with Collective Intelligence," Sustainability, MDPI, vol. 10(5), pages 1-11, May.
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    1. Kun Lu & Xiaoyan Jiang & Vivian W. Y. Tam & Mengyun Li & Hongyu Wang & Bo Xia & Qing Chen, 2019. "Development of a Carbon Emissions Analysis Framework Using Building Information Modeling and Life Cycle Assessment for the Construction of Hospital Projects," Sustainability, MDPI, vol. 11(22), pages 1-18, November.

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