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Intelligent Monitoring Platform and Application for Building Energy Using Information Based on Digital Twin

Author

Listed:
  • Cui Li

    (School of Mechanical Engineering, Tongji University, Shanghai 200092, China)

  • Ping Lu

    (School of Mechanical Engineering, Tongji University, Shanghai 200092, China)

  • Weiran Zhu

    (Shanghai Foreign Economic and Trade Engineering Corp., Ltd., Shanghai 200070, China)

  • Han Zhu

    (School of Mechanical Engineering, Tongji University, Shanghai 200092, China)

  • Xinmin Zhang

    (School of Mechanical Engineering, Tongji University, Shanghai 200092, China)

Abstract

With the development and popularization of the Internet of Things, big data, cloud computing, and other technologies, Digital twin technology (DTT) is increasingly applied to building operation and maintenance (O&M). However, most of the research focuses on building energy consumption, safety, and other management, and relatively little research on the monitoring of building terminal energy using information. The information is closely related to occupants’ behavior, such as air conditioning, lighting, shading, window status information, as well as personnel number and location, and it has a great impact on building energy consumption. Due to different occupants’ behaviors, the level of building energy consumption varies several times or even more. Take an office building as an example. Based on digital twin technology, the framework of building energy using intelligent monitoring is constructed. It mainly includes four parts, namely building physical space, virtual twin space, predictive control simulation engine, and twin big data. For each part, functions are realized through building Information Modelling (BIM), smart sensors, and Internet of Things (IoT) technologies. Based on the standard framework and every function realization method, the DTT can used for building O&M effectually. The application of building an intelligent control system based on the occupants’ characteristics is simulated and analyzed in Designbuilder software 6.1.2. The results show that the digital technology application in building intelligent control systems can realize maximum energy saving for 30%. However, the DTT in building O&M is not widely used now. There is a lot of research to be completed in the future.

Suggested Citation

  • Cui Li & Ping Lu & Weiran Zhu & Han Zhu & Xinmin Zhang, 2023. "Intelligent Monitoring Platform and Application for Building Energy Using Information Based on Digital Twin," Energies, MDPI, vol. 16(19), pages 1-13, September.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:6839-:d:1249015
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    Cited by:

    1. Tianlei Zang & Shijun Wang & Zian Wang & Chuangzhi Li & Yunfei Liu & Yujian Xiao & Buxiang Zhou, 2024. "Integrated Planning and Operation Dispatching of Source–Grid–Load–Storage in a New Power System: A Coupled Socio–Cyber–Physical Perspective," Energies, MDPI, vol. 17(12), pages 1-43, June.

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