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A Model-Driven Approach for Carbon Emission Assessment in Healthcare Facilities

In: Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Chuanjie Cheng

    (China Design Digital Technology Co)

  • Ruimin Nie

    (China Design Digital Technology Co)

  • Jing Pan

    (China Design Digital Technology Co)

  • Jia Zhu

    (China Design Digital Technology Co)

  • Daguang Han

    (Southeastern University)

Abstract

Most current research on healthcare facilities carbon emissions focuses on the dynamic data generated by the building entity and systems without considering human activities and built environment as an integrated system. This paper presents a model-driven approach for carbon emission assessment in healthcare facilities that can: (i) support convergence of carbon emissions impact factors analysis from human activities in building systems, (ii) integrate spatial computing and Internet of Things technologies for real-time performance assessment of carbon emissions in healthcare facilities, (iii) enable continuous optimization of carbon emission performance. Recognizing the gap, this paper presents the model-driven framework for energy efficiency optimization and prediction in hospital buildings including three layers: schematical model, data collection and assessment model, adaptive and predictive model. An illustrative case is presented to state how the model-driven paradigm applied in a real-world hospital energy management platform.

Suggested Citation

  • Chuanjie Cheng & Ruimin Nie & Jing Pan & Jia Zhu & Daguang Han, 2024. "A Model-Driven Approach for Carbon Emission Assessment in Healthcare Facilities," Lecture Notes in Operations Research, in: Dezhi Li & Patrick X. W. Zou & Jingfeng Yuan & Qian Wang & Yi Peng (ed.), Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, chapter 0, pages 1333-1344, Springer.
    • Handle: RePEc:spr:lnopch:978-981-97-1949-5_92
    DOI: 10.1007/978-981-97-1949-5_92
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