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

Antonio J. Aguilar, María L. de la Hoz-Torres (), Diego P. Ruiz and Dolores Martínez-Aires Mª
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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
Dolores Martínez-Aires Mª: Department of Building Construction, University of Granada, Av. Severo Ochoa s/n, 18071 Granada, Spain

IJERPH, 2022, vol. 19, issue 21, 1-21

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.

Keywords: building information modelling; COVID-19; educational building; indoor environmental quality; sensor monitoring (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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