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Multisensor IoT Platform for Optimising IAQ Levels in Buildings through a Smart Ventilation System

Author

Listed:
  • Giacomo Chiesa

    (Department of Architecture and Design, Politecnico di Torino, 10125 Turin, Italy)

  • Silvia Cesari

    (ICT for Smart Society, Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy)

  • Miguel Garcia

    (ICT for Smart Society, Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy)

  • Mohammad Issa

    (ICT for Smart Society, Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy)

  • Shuyang Li

    (ICT for Smart Society, Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy)

Abstract

Indoor Air Quality (IAQ) issues have a direct impact on the health and comfort of building occupants. In this paper, an experimental low-cost system has been developed to address IAQ issues by using a distributed internet of things platform to control and monitor the indoor environment in building spaces while adopting a data-driven approach. The system is based on several real-time sensor data to model the indoor air quality and accurately control the ventilation system through algorithms to maintain a comfortable level of IAQ by balancing indoor and outdoor pollutant concentrations using the Indoor Air Quality Index approach. This paper describes hardware and software details of the system as well as the algorithms, models, and control strategies of the proposed solution which can be integrated in detached ventilation systems. Furthermore, a mobile app has been developed to inform, in real time, different-expertise-user profiles showing indoor and outdoor IAQ conditions. The system is implemented in a small prototype box and early-validated with different test cases considering various pollutant concentrations, reaching a Technology Readiness Level (TRL) of 3–4.

Suggested Citation

  • Giacomo Chiesa & Silvia Cesari & Miguel Garcia & Mohammad Issa & Shuyang Li, 2019. "Multisensor IoT Platform for Optimising IAQ Levels in Buildings through a Smart Ventilation System," Sustainability, MDPI, vol. 11(20), pages 1-28, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5777-:d:277823
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    References listed on IDEAS

    as
    1. Costanzo, Vincenzo & Yao, Runming & Xu, Tiantian & Xiong, Jie & Zhang, Qiulei & Li, Baizhan, 2019. "Natural ventilation potential for residential buildings in a densely built-up and highly polluted environment. A case study," Renewable Energy, Elsevier, vol. 138(C), pages 340-353.
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    Citations

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    Cited by:

    1. Gonçalo Marques & Jagriti Saini & Maitreyee Dutta & Pradeep Kumar Singh & Wei-Chiang Hong, 2020. "Indoor Air Quality Monitoring Systems for Enhanced Living Environments: A Review toward Sustainable Smart Cities," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    2. Aminhossein Jahanbin & Giovanni Semprini, 2020. "Numerical Study on Indoor Environmental Quality in a Room Equipped with a Combined HRV and Radiator System," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    3. Francesco Mancini & Fabio Nardecchia & Daniele Groppi & Francesco Ruperto & Carlo Romeo, 2020. "Indoor Environmental Quality Analysis for Optimizing Energy Consumptions Varying Air Ventilation Rates," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    4. Jagriti Saini & Maitreyee Dutta & Gonçalo Marques, 2020. "Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review," IJERPH, MDPI, vol. 17(14), pages 1-22, July.
    5. Chuloh Jung & Nahla Al Qassimi, 2022. "Investigating the Emission of Hazardous Chemical Substances from Mashrabiya Used for Indoor Air Quality in Hot Desert Climate," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    6. Vinh Van Tran & Duckshin Park & Young-Chul Lee, 2020. "Indoor Air Pollution, Related Human Diseases, and Recent Trends in the Control and Improvement of Indoor Air Quality," IJERPH, MDPI, vol. 17(8), pages 1-27, April.

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