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A Smart Campus’ Digital Twin for Sustainable Comfort Monitoring

Author

Listed:
  • 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)

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.

Suggested Citation

  • Agustín Zaballos & Alan Briones & Alba Massa & Pol Centelles & Víctor Caballero, 2020. "A Smart Campus’ Digital Twin for Sustainable Comfort Monitoring," Sustainability, MDPI, vol. 12(21), pages 1-33, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9196-:d:440390
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    References listed on IDEAS

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    Cited by:

    1. Nishant Raj Kapoor & Ashok Kumar & Tabish Alam & Anuj Kumar & Kishor S. Kulkarni & Paolo Blecich, 2021. "A Review on Indoor Environment Quality of Indian School Classrooms," Sustainability, MDPI, vol. 13(21), pages 1-43, October.
    2. Susie Ruqun WU & Gabriela Shirkey & Ilke Celik & Changliang Shao & Jiquan Chen, 2022. "A Review on the Adoption of AI, BC, and IoT in Sustainability Research," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    3. Goran Savić & Milan Segedinac & Zora Konjović & Milan Vidaković & Radoslav Dutina, 2023. "Towards a Domain-Neutral Platform for Sustainable Digital Twin Development," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    4. Ulfia A. Lenfers & Nima Ahmady-Moghaddam & Daniel Glake & Florian Ocker & Daniel Osterholz & Jonathan Ströbele & Thomas Clemen, 2021. "Improving Model Predictions—Integration of Real-Time Sensor Data into a Running Simulation of an Agent-Based Model," Sustainability, MDPI, vol. 13(13), pages 1-14, June.
    5. Lavinia Chiara Tagliabue & Fulvio Re Cecconi & Sebastiano Maltese & Stefano Rinaldi & Angelo Luigi Camillo Ciribini & Alessandra Flammini, 2021. "Leveraging Digital Twin for Sustainability Assessment of an Educational Building," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    6. Rafaela Bortolini & Raul Rodrigues & Hamidreza Alavi & Luisa Felix Dalla Vecchia & Núria Forcada, 2022. "Digital Twins’ Applications for Building Energy Efficiency: A Review," Energies, MDPI, vol. 15(19), pages 1-17, September.
    7. Sebastian Ernst & Leszek Kotulski & Adam Sędziwy & Igor Wojnicki, 2023. "Graph-Based Computational Methods for Efficient Management and Energy Conservation in Smart Cities," Energies, MDPI, vol. 16(7), pages 1-21, April.

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