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

Cui Li (), Ping Lu, Weiran Zhu, Han Zhu and Xinmin Zhang
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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

Energies, 2023, vol. 16, issue 19, 1-13

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.

Keywords: building energy using; digital twin; intelligent; virtual model; control system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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