The article describes the outcomes of the monitoring campaign carried out in an educational building nearby Tirana, capital of Albania. Performed under the bilateral agreement between the National Research Council of Italy and the Ministry of Education and Sport of the Republic of Albania, the study proposes a combined approach for the assessment of the IEQ, not limiting only in the collection of objective data through the environmental monitoring of indoor variables but it also includes the subjective perception of indoor environment by the students through the compilation of a specific questionnaire. The classrooms were also modelled using a parametric model combining the functionalities of Honeybee plugin with OpenStudio and Radiance. The results are illustrated by maps of the indoor microclimate and illuminance with spatial resolution of 0.5 meters and one-hour temporal resolution step. Aggregated index and environmental data derived from models are compared to those monitored with nEMoS. This hybrid method overcomes the drawback caused by a low resolution of the monitoring steps and allows the comparison of the objective and subjective perception of the considered environmental factors, as well as the identification of discrepancies in terms of objective evidence and subjective perception related to the considered environmental factors.

Assessment of Indoor Environmental Quality in schools by combining survey and modelling: a case study in Albania

Francesco Salamone;Lorenzo Belussi;Ludovico Danza;Matteo Ghellere;
2021

Abstract

The article describes the outcomes of the monitoring campaign carried out in an educational building nearby Tirana, capital of Albania. Performed under the bilateral agreement between the National Research Council of Italy and the Ministry of Education and Sport of the Republic of Albania, the study proposes a combined approach for the assessment of the IEQ, not limiting only in the collection of objective data through the environmental monitoring of indoor variables but it also includes the subjective perception of indoor environment by the students through the compilation of a specific questionnaire. The classrooms were also modelled using a parametric model combining the functionalities of Honeybee plugin with OpenStudio and Radiance. The results are illustrated by maps of the indoor microclimate and illuminance with spatial resolution of 0.5 meters and one-hour temporal resolution step. Aggregated index and environmental data derived from models are compared to those monitored with nEMoS. This hybrid method overcomes the drawback caused by a low resolution of the monitoring steps and allows the comparison of the objective and subjective perception of the considered environmental factors, as well as the identification of discrepancies in terms of objective evidence and subjective perception related to the considered environmental factors.
2021
Istituto per le Tecnologie della Costruzione - ITC
Indoor Environmental Qaulity
Monitoring system
air quality
lighting
simulation
low-cost sensor
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/401513
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