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Applications of Information Technology in Building Carbon Flow

Author

Listed:
  • Clyde Zhengdao Li

    (Sino-Australia Joint Research Center in BIM and Smart Construction, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518061, China)

  • Yiqian Deng

    (Sino-Australia Joint Research Center in BIM and Smart Construction, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518061, China)

  • Yingyi Ya

    (Sino-Australia Joint Research Center in BIM and Smart Construction, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518061, China)

  • Vivian W. Y. Tam

    (School of Engineering, Design and Built Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia)

  • Chen Lu

    (School of Management, Guangzhou University, Guangzhou 510006, China)

Abstract

The construction industry, as one of the three major carbon emission (CE) industries, accounts for about 39% of the global CE. Thus, approaches for energy saving and emission reduction (ES/ER) cannot be delayed. With the advent of the Industry 4.0 era, information technology (IT) is used to investigate CE in the construction industry, which provides great convenience for measuring and calculating building carbon emissions (BCE) and proposing effective ES/ER measures. However, limited studies have provided a holistic overview of the application of IT in BCE. To fill this gap, this study searched related articles and screened 170 relevant papers. Based on the characteristics of the literature, building carbon flow (BCF) was defined. Based on scientometric analysis and network mapping analysis, combined with quantitative and qualitative analysis methods, the functions, advantages, and limitations of IT in each stage of BCF research were reviewed. Finally, the research trends and future research directions of IT in the BCF were discussed. Specifically, the building information model technology penetrates the whole process of BCF research, deep learning and artificial intelligence have great potential in BCF research, and multi-information technology integration will become the focus of subsequent research in the construction industry.

Suggested Citation

  • Clyde Zhengdao Li & Yiqian Deng & Yingyi Ya & Vivian W. Y. Tam & Chen Lu, 2023. "Applications of Information Technology in Building Carbon Flow," Sustainability, MDPI, vol. 15(23), pages 1-23, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16522-:d:1293306
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    References listed on IDEAS

    as
    1. Hammond, G.P. & Norman, J.B., 2012. "Decomposition analysis of energy-related carbon emissions from UK manufacturing," Energy, Elsevier, vol. 41(1), pages 220-227.
    2. Gao, Hao & Koch, Christian & Wu, Yupeng, 2019. "Building information modelling based building energy modelling: A review," Applied Energy, Elsevier, vol. 238(C), pages 320-343.
    3. Sungwoo Lee & Sungho Tae & Seungjun Roh & Taehyung Kim, 2015. "Green Template for Life Cycle Assessment of Buildings Based on Building Information Modeling: Focus on Embodied Environmental Impact," Sustainability, MDPI, vol. 7(12), pages 1-15, December.
    4. Wright, A.J. & Oates, M.R. & Greenough, R., 2013. "Concepts for dynamic modelling of energy-related flows in manufacturing," Applied Energy, Elsevier, vol. 112(C), pages 1342-1348.
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