Energy consumption and its consequences are inevitable in modern-age human activities, particularly in the school environment. School buildings require significant energy inputs for heating and air-conditioning, and the majority of the occupants are adolescent students, whose health and cognitive performance are vulnerable to poor indoor air quality (IAQ), thermal discomfort and acoustic noise sources. The present study employs measurements and numerical methods to improve Indoor Environmental Quality (IEQ) and reduce energy consumption in school buildings. Accurate measurements enable the quantification of various environmental parameters, from indoor air pollutants to temperature and relative humidity levels. These measurements form the basis for informed decision-making and interventions to improve the environment. Numerical methods, on the other hand, offer a means to model and simulate the impact of different factors on environmental quality. Advanced computational tools allow for the assessment of scenarios, enabling stakeholders to identify optimal solutions for achieving and maintaining high standards of environmental quality in schools.
Environmental quality analysis in school environment by measurements and numerical methods
Leonardo Guglielmi
Primo
;Samantha Di Loreto
Secondo
;Matteo Falone
Penultimo
;Mariano Pierantozzi
Ultimo
2025-01-01
Abstract
Energy consumption and its consequences are inevitable in modern-age human activities, particularly in the school environment. School buildings require significant energy inputs for heating and air-conditioning, and the majority of the occupants are adolescent students, whose health and cognitive performance are vulnerable to poor indoor air quality (IAQ), thermal discomfort and acoustic noise sources. The present study employs measurements and numerical methods to improve Indoor Environmental Quality (IEQ) and reduce energy consumption in school buildings. Accurate measurements enable the quantification of various environmental parameters, from indoor air pollutants to temperature and relative humidity levels. These measurements form the basis for informed decision-making and interventions to improve the environment. Numerical methods, on the other hand, offer a means to model and simulate the impact of different factors on environmental quality. Advanced computational tools allow for the assessment of scenarios, enabling stakeholders to identify optimal solutions for achieving and maintaining high standards of environmental quality in schools.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


