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Monitoring and Assessment of Indoor Environmental Conditions in Educational Building Using Building Information Modelling Methodology

Author

Listed:
  • Antonio J. Aguilar

    (Department of Applied Physics, University of Granada, Av. Severo Ochoa s/n, 18071 Granada, Spain)

  • María L. de la Hoz-Torres

    (Department of Building Construction, University of Granada, Av. Severo Ochoa s/n, 18071 Granada, Spain)

  • Diego P. Ruiz

    (Department of Applied Physics, University of Granada, Av. Severo Ochoa s/n, 18071 Granada, Spain)

  • Mª Dolores Martínez-Aires

    (Department of Building Construction, University of Granada, Av. Severo Ochoa s/n, 18071 Granada, Spain)

Abstract

Managing indoor environmental quality (IEQ) is a challenge in educational buildings in the wake of the COVID-19 pandemic. Adequate indoor air quality is essential to ensure that indoor spaces are safe for students and teachers. In fact, poor IEQ can affect academic performance and student comfort. This study proposes a framework for integrating occupants’ feedback into the building information modelling (BIM) methodology to assess indoor environmental conditions (thermal, acoustic and lighting) and the individual airborne virus transmission risk during teaching activities. The information contained in the parametric 3D BIM model and the algorithmic environment of Dynamo were used to develop the framework. The IEQ evaluation is based on sensor monitoring and a daily schedule, so the results show real problems of occupants’ dissatisfaction. The output of the framework shows in which range the indoor environmental variables were (optimal, acceptable and unacceptable) and the probability of infection during each lecture class (whether or not 1% is exceeded). A case study was proposed to illustrate its application and validate it. The outcomes provide key information to support the decision-making process for managing IEQ and controlling individual airborne virus transmission risks. Long-term application could provide data that support the management of ventilation strategies and protocol redesign.

Suggested Citation

  • Antonio J. Aguilar & María L. de la Hoz-Torres & Diego P. Ruiz & Mª Dolores Martínez-Aires, 2022. "Monitoring and Assessment of Indoor Environmental Conditions in Educational Building Using Building Information Modelling Methodology," IJERPH, MDPI, vol. 19(21), pages 1-21, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:13756-:d:950582
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    References listed on IDEAS

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    1. Stuart Batterman, 2017. "Review and Extension of CO 2 -Based Methods to Determine Ventilation Rates with Application to School Classrooms," IJERPH, MDPI, vol. 14(2), pages 1-22, February.
    2. Giuseppe Desogus & Emanuela Quaquero & Giulia Rubiu & Gianluca Gatto & Cristian Perra, 2021. "BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    3. Heracleous, Chryso & Michael, Aimilios, 2018. "Assessment of overheating risk and the impact of natural ventilation in educational buildings of Southern Europe under current and future climatic conditions," Energy, Elsevier, vol. 165(PB), pages 1228-1239.
    4. Zomorodian, Zahra Sadat & Tahsildoost, Mohammad & Hafezi, Mohammadreza, 2016. "Thermal comfort in educational buildings: A review article," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 895-906.
    5. Alberto Meiss & Héctor Jimeno-Merino & Irene Poza-Casado & Alfredo Llorente-Álvarez & Miguel Ángel Padilla-Marcos, 2021. "Indoor Air Quality in Naturally Ventilated Classrooms. Lessons Learned from a Case Study in a COVID-19 Scenario," Sustainability, MDPI, vol. 13(15), pages 1-12, July.
    6. Eerika Finell & Jouko Nätti, 2019. "The Combined Effect of Poor Perceived Indoor Environmental Quality and Psychosocial Stressors on Long-Term Sickness Absence in the Workplace: A Follow-Up Study," IJERPH, MDPI, vol. 16(24), pages 1-13, December.
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    Cited by:

    1. Łukasz J. Orman & Natalia Krawczyk & Norbert Radek & Stanislav Honus & Jacek Pietraszek & Luiza Dębska & Agata Dudek & Artur Kalinowski, 2023. "Comparative Analysis of Indoor Environmental Quality and Self-Reported Productivity in Intelligent and Traditional Buildings," Energies, MDPI, vol. 16(18), pages 1-21, September.
    2. Łukasz Jan Orman & Natalia Siwczuk & Norbert Radek & Stanislav Honus & Jerzy Zbigniew Piotrowski & Luiza Dębska, 2024. "Comparative Analysis of Subjective Indoor Environment Assessment in Actual and Simulated Conditions," Energies, MDPI, vol. 17(3), pages 1-16, January.

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