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Monitoring and Assessment of Indoor Environmental Conditions in Educational Building Using Building Information Modelling Methodology.
Aguilar, Antonio J; de la Hoz-Torres, María L; Ruiz, Diego P; Martínez-Aires, Mª Dolores.
  • Aguilar AJ; Department of Applied Physics, University of Granada, Av. Severo Ochoa s/n, 18071 Granada, Spain.
  • de la Hoz-Torres ML; Department of Building Construction, University of Granada, Av. Severo Ochoa s/n, 18071 Granada, Spain.
  • Ruiz DP; Department of Applied Physics, University of Granada, Av. Severo Ochoa s/n, 18071 Granada, Spain.
  • Martínez-Aires MD; Department of Building Construction, University of Granada, Av. Severo Ochoa s/n, 18071 Granada, Spain.
Int J Environ Res Public Health ; 19(21)2022 Oct 22.
Article in English | MEDLINE | ID: covidwho-2081823
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollution, Indoor / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph192113756

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollution, Indoor / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph192113756