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dc.contributor.authorAguilar Aguilera, Antonio Jesús
dc.contributor.authorHoz Torres, María Luisa de la
dc.contributor.authorRuiz Padillo, Diego Pablo
dc.contributor.authorMartínez Aires, María Dolores
dc.date.accessioned2023-07-11T06:22:51Z
dc.date.available2023-07-11T06:22:51Z
dc.date.issued2022
dc.identifier.citationAguilar Aguilera, A. J., Hoz Torres, M. L., Ruiz Padillo, D. P. y Martínez Aires, M. D. (2022). Monitoring and Assessment of Indoor Environmental Conditions in Educational Building Using Building Information Modelling Methodology. International Journal of Environmental Research and Public Health, 19(21). https://doi.org/10.3390/ijerph192113756es
dc.identifier.issn1661-7827
dc.identifier.urihttp://hdl.handle.net/20.500.12251/2856
dc.description.abstractManaging 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. © 2022 by the authors.en
dc.language.isoenges
dc.publisherMDPIes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleMonitoring and Assessment of Indoor Environmental Conditions in Educational Building Using Building Information Modelling Methodologyen
dc.typearticlees
dc.identifier.doi10.3390/ijerph192113756
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85141590426&doi=10.3390%2fijerph192113756&partnerID=40&md5=0e5de52e90120aa044d5db80d3872a59
dc.issue.number21
dc.journal.titleInternational Journal of Environmental Research and Public Health
dc.rights.accessRightsopenAccesses
dc.subject.keywordCalidad del aire interiores
dc.subject.keywordCovid-19es
dc.subject.keywordEdificios saludableses
dc.subject.keywordCentro educativoes
dc.subject.keywordBuilding Information Modeling (BIM)es
dc.subject.keywordAspectos ambientaleses
dc.subject.keywordEvaluación ambientales
dc.subject.keywordEnfermedades respiratoriases
dc.subject.unesco2420.08 Virus Respiratorioses
dc.subject.unesco6109.03 Planificación y Eval. Puestos de Trabajoes
dc.subject.unesco5311.07 Investigación Operativaes
dc.subject.unesco3108.04 Control Ambiental de Enfermedadeses
dc.subject.unesco3205.05 Enfermedades Infecciosases
dc.subject.unesco1203.09 Diseño Con Ayuda del Ordenadores
dc.volume.number19


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