Cyber-Physical Systems Improving Building Energy Management: Digital Twin and Artificial Intelligence
Sofia Agostinelli,
Fabrizio Cumo,
Giambattista Guidi and
Claudio Tomazzoli
Additional contact information
Sofia Agostinelli: CITERA Interdepartmental Centre, Sapienza University of Rome, 00197 Rome, Italy
Fabrizio Cumo: CITERA Interdepartmental Centre, Sapienza University of Rome, 00197 Rome, Italy
Giambattista Guidi: National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy
Claudio Tomazzoli: Computer Science Department, University of Verona, 37129 Verona, Italy
Energies, 2021, vol. 14, issue 8, 1-25
Abstract:
The research explores the potential of digital-twin-based methods and approaches aimed at achieving an intelligent optimization and automation system for energy management of a residential district through the use of three-dimensional data model integrated with Internet of Things, artificial intelligence and machine learning. The case study is focused on Rinascimento III in Rome, an area consisting of 16 eight-floor buildings with 216 apartment units powered by 70% of self-renewable energy. The combined use of integrated dynamic analysis algorithms has allowed the evaluation of different scenarios of energy efficiency intervention aimed at achieving a virtuous energy management of the complex, keeping the actual internal comfort and climate conditions. Meanwhile, the objective is also to plan and deploy a cost-effective IT (information technology) infrastructure able to provide reliable data using edge-computing paradigm. Therefore, the developed methodology led to the evaluation of the effectiveness and efficiency of integrative systems for renewable energy production from solar energy necessary to raise the threshold of self-produced energy, meeting the nZEB (near zero energy buildings) requirements.
Keywords: digital construction; artificial intelligence; digital twin; nZEB; energy management; energy efficiency; edge computing (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: 2021
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Citations: View citations in EconPapers (9)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:8:p:2338-:d:539867
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