A Smart Campus’ Digital Twin for Sustainable Comfort Monitoring

Agustín Zaballos, Alan Briones, Alba Massa, Pol Centelles and Víctor Caballero
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Agustín Zaballos: Engineering Department, La Salle–Universitat Ramon Llull, 08021 Barcelona, Spain
Alan Briones: Engineering Department, La Salle–Universitat Ramon Llull, 08021 Barcelona, Spain
Alba Massa: Engineering Department, La Salle–Universitat Ramon Llull, 08021 Barcelona, Spain
Pol Centelles: Engineering Department, La Salle–Universitat Ramon Llull, 08021 Barcelona, Spain
Víctor Caballero: Engineering Department, La Salle–Universitat Ramon Llull, 08021 Barcelona, Spain

Sustainability, 2020, vol. 12, issue 21, 1-33

Abstract: Interdisciplinary cross-cultural and cross-organizational research offers great opportunities for innovative breakthroughs in the field of smart cities, yet it also presents organizational and knowledge development hurdles. Smart cities must be large towns able to sustain the needs of their citizens while promoting environmental sustainability. Smart cities foment the widespread use of novel information and communication technologies (ICTs); however, experimenting with these technologies in such a large geographical area is unfeasible. Consequently, smart campuses (SCs), which are universities where technological devices and applications create new experiences or services and facilitate operational efficiency, allow experimentation on a smaller scale, the concept of SCs as a testbed for a smart city is gaining momentum in the research community. Nevertheless, while universities acknowledge the academic role of a smart and sustainable approach to higher education, campus life and other student activities remain a mystery, which have never been universally solved. This paper proposes a SC concept to investigate the integration of building information modeling tools with Internet of Things- (IoT)-based wireless sensor networks in the fields of environmental monitoring and emotion detection to provide insights into the level of comfort. Additionally, it explores the ability of universities to contribute to local sustainability projects by sharing knowledge and experience across a multi-disciplinary team. Preliminary results highlight the significance of monitoring workspaces because productivity has been proven to be directly influenced by environment parameters. The comfort-monitoring infrastructure could also be reused to monitor physical parameters from educational premises to increase energy efficiency.

Keywords: sustainable ecosystem; environmental monitoring; IEQ calculation; BIM (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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