DIGITAL TWIN VALUE IN INTELLIGENT BUILDING DEVELOPMENT

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Published: Jun 12, 2023
DOI: https://doi.org/10.20998/2522-9052.2023.2.11
Keywords:
Simulation, Data-based control, Real-time control, Internet of Things, Digital Twin, Knowledge-based control, Building Automation

Main Article Content

Anastasiya Zakharchenko
National Technical University “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv
Oleksandr Stepanets
National Technical University “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv

Abstract

The aim of the research. This article discusses the use of the Digital Twin in automation and its impact on the resulting solution. The research aims to illuminate the Digital Twin concept explanation and systematise the knowledge base and fulfill information gaps. Research results. The paper overviews the history of the concept and determines the main phases of Digital Twin development. The significant attention was paid to the classification issue to show the huge variation depending on Digital Twin‘s purpose, lifecycle phase, the scale of the physical twins and data amount in order to explain the twin‘s relation and the hierarchy of complex system. The defined capabilities and values of the concept identify the possible use cases and explain the potential benefits of Digital Twin implementation. Also, this paper takes a look at the use of Digital Twin in the area of building automation. This concept potentially may act as the integration platform for building management systems (BMS) and building information modelling (BIM) technologies with IoT solutions. The discussion of Digital Twin implementation for the building automation complex is presented. We conclude that the Digital Twin can integrate human factor to the control system by using the indexes of climate satisfaction, the feedback functionality and human-machine interfaces. As a result, the improvement of system efficiency depends on the coordination and orchestration of equipment operating mode. Conclusion. The Digital Twin has a high potential for energy efficiency improvements, as it considers many factors, integrates a huge amount of data and continuously improves themselves with real-world data.

Article Details

How to Cite
Zakharchenko, A., & Stepanets, O. (2023). DIGITAL TWIN VALUE IN INTELLIGENT BUILDING DEVELOPMENT. Advanced Information Systems, 7(2), 75–86. https://doi.org/10.20998/2522-9052.2023.2.11
Issue
Vol. 7 No. 2 (2023): Advanced Information Systems
Section
Intelligent information systems
Author Biographies

Anastasiya Zakharchenko, National Technical University “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv

Post-Graduate student, Department of Automation of Energy Processes

Oleksandr Stepanets, National Technical University “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv

Candidate of Technical Sciences, Associate Professort, Department of Automation of Energy Processes

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