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Grey-Box Method for Urban Building Energy Modelling: Advancements and Potentials

Author

Listed:
  • Yucheng Guo

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Jie Shi

    (Sino-German College of Applied Sciences, Tongji University, Shanghai 200092, China)

  • Tong Guo

    (Hermann Rietschel Institute, Technical University of Berlin, Marchstraße 4, 10587 Berlin, Germany)

  • Fei Guo

    (School of Architecture and Fine Art, Dalian University of Technology, Dalian 116024, China)

  • Feng Lu

    (Integrale Planung GmbH, Pfingstweidstrasse 16, 8005 Zurich, Switzerland)

  • Lingqi Su

    (Sino-German College of Applied Sciences, Tongji University, Shanghai 200092, China)

Abstract

Urban building energy modelling (UBEM) has consistently been a pivotal tool to evaluate and control a building stock’s energy consumption. There are two main approaches to build up UBEM: top-down and bottom-up. The latter is the most commonly used in engineering. The bottom-up approach includes three methods: the physical-based method, the data-driven method, and the grey-box method. The first two methods have previously received ample attention and research. The grey-box method is a modelling method that has emerged in recent years that combines the traditional physical method with the data-driven method while it aims to avoid their problems and merge their advantages. Nowadays, there are several approaches for modelling the grey-box model. However, the majority of existing reviews on grey-box methods concentrate on a specific technical approach and thus lack a comprehensive overview of modelling method perspectives. Accordingly, by conducting a comprehensive review of the literature on grey-box research in recent years, this paper classifies grey-box models into three categories from the perspective of modelling methods and provides a detailed summary of each, concluding with a synthesis of potential research opportunities in this area. The aim of this paper is to provide a foundational understanding of grey-box modelling methods for similar research, thereby removing potential barriers in the field of research methods.

Suggested Citation

  • Yucheng Guo & Jie Shi & Tong Guo & Fei Guo & Feng Lu & Lingqi Su, 2024. "Grey-Box Method for Urban Building Energy Modelling: Advancements and Potentials," Energies, MDPI, vol. 17(21), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:21:p:5463-:d:1511764
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    References listed on IDEAS

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