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Combining BIM, GIS, and IoT to Foster Energy Management and Simulation in Smart Cities

Combining BIM, GIS, and IoT to Foster Energy Management and Simulation in Smart Cities
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Author(s): Edoardo Patti (Politecnico di Torino, Italy), Francesco G. Brundu (Politecnico di Torino, Italy), Andrea Bellagarda (Politecnico di Torino, Italy), Lorenzo Bottaccioli (Politecnico di Torino, Italy), Niccolò Rapetti (Politecnico di Torino, Italy), Vittorio Verda (Politecnico di Torino, Italy), Elisa Guelpa (Politecnico di Torino, Italy), Laura Rietto (Politecnico di Torino, Italy), Enrico Macii (Politecnico di Torino, Italy), Andrea Acquaviva (Università di Bologna, Italy), Alexandr Krylovskiy (Fraunhofer Institute for Applied Information Technology, Germany)and Marco Jahn (Fraunhofer Institute for Applied Information Technology, Germany)
Copyright: 2023
Pages: 22
Source title: Research Anthology on BIM and Digital Twins in Smart Cities
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-7548-5.ch016

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Abstract

This chapter presents a novel distributed software infrastructure to enable energy management and simulation of novel control strategies in smart cities. In this context, the following heterogeneous information, describing the different entities in a city, needs to be taken into account to form a unified district information model: internet-of-things (IoT) devices, building information model, system information model, and georeferenced information system. IoT devices are crucial to monitor in (near-) real-time both building energy trends and environmental data. Thus, the proposed solution fulfills the integration and interoperability of such data sources providing also a correlation among them. Such correlation is the key feature to unlock management and simulation of novel energy policies aimed at optimizing the energy usage accounting also for its impact on building comfort. The platform has been deployed in a real-world district and a novel control policy for the heating distribution network has been developed and tested. Finally, experimental results are presented and discussed.

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