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

Authors :
Enrico Macii
Alexandr Krylovskiy
Andrea Bellagarda
Niccolo' Rapetti
Elisa Guelpa
Edoardo Patti
Lorenzo Bottaccioli
Francesco Gavino Brundu
Laura Rietto
Andrea Acquaviva
Vittorio Verda
Marco Jahn
Patti, Edoardo
Brundu, Francesco G.
Bellagarda, Andrea
Bottaccioli, Lorenzo
Rapetti, Niccolò
Verda, Vittorio
Guelpa, Elisa
Rietto, Laura
Macii, Enrico
Acquaviva, Andrea
Krylovskiy, Alexandr
Jahn, Marco
Source :
Research Anthology on BIM and Digital Twins in Smart Cities ISBN: 9781668475485, Advances in Civil and Industrial Engineering ISBN: 9781799870913
Publication Year :
2022
Publisher :
IGI Global, 2022.

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.

Details

ISBN :
978-1-66847-548-5
978-1-79987-091-3
ISBNs :
9781668475485 and 9781799870913
Database :
OpenAIRE
Journal :
Research Anthology on BIM and Digital Twins in Smart Cities ISBN: 9781668475485, Advances in Civil and Industrial Engineering ISBN: 9781799870913
Accession number :
edsair.doi.dedup.....ac4e3c99faf795bcfd934a4e7fdb6600
Full Text :
https://doi.org/10.4018/978-1-6684-7548-5.ch016