LAPSE:2023.8438
Published Article

LAPSE:2023.8438
Indoor Air Quality Diagnosis Program for School Multi-Purpose Activity and Office Spaces
February 24, 2023
Abstract
This study presents a simple indoor air quality diagnosis program for school office spaces, which are occupied for long durations by teachers, and indoor sports facilities, whose utilization has been on the rise in response to high concentrations of pollutants in outdoor air. The proposed program was made with Visual Basic for Applications (VBA) and Microsoft Excel. This program requires inputs which can be easily determined or measured even by nonexperts and can check the current status of indoor air quality such as CO2 and PM2.5 concentrations and predict the effect if changes are made. In addition, it is possible to diagnose indoor air quality before and after class and compare it with the initial plan so that if it exceeds the indoor air quality maintenance standard range, it can be improved by using a ventilation system and an air purifier. The development of the program was divided into four stages. First, prior research on the influencing factors was investigated. Second, influencing factors affecting the changes in PM2.5 and CO2 concentrations were selected by category to accommodate the various factors, and those selected as input were presented. Third, mass and concentration conservation equations were utilized to derive PM2.5 and CO2 concentration prediction equations according to activity and passage of time, and a VBA code was used for constructing the program. For verification of the developed program, the calculation results were compared with the measured data. The mean absolute percentage error (MAPE) was 19.47% for PM2.5 concentration. In order to improve accuracy, Simulation 2, in which the wind speed and indoor/outdoor air pressure difference are corrected, is presented. The MAPE of PM2.5 concentration by the corrected Simulation 2 was lowered 5.15%.
This study presents a simple indoor air quality diagnosis program for school office spaces, which are occupied for long durations by teachers, and indoor sports facilities, whose utilization has been on the rise in response to high concentrations of pollutants in outdoor air. The proposed program was made with Visual Basic for Applications (VBA) and Microsoft Excel. This program requires inputs which can be easily determined or measured even by nonexperts and can check the current status of indoor air quality such as CO2 and PM2.5 concentrations and predict the effect if changes are made. In addition, it is possible to diagnose indoor air quality before and after class and compare it with the initial plan so that if it exceeds the indoor air quality maintenance standard range, it can be improved by using a ventilation system and an air purifier. The development of the program was divided into four stages. First, prior research on the influencing factors was investigated. Second, influencing factors affecting the changes in PM2.5 and CO2 concentrations were selected by category to accommodate the various factors, and those selected as input were presented. Third, mass and concentration conservation equations were utilized to derive PM2.5 and CO2 concentration prediction equations according to activity and passage of time, and a VBA code was used for constructing the program. For verification of the developed program, the calculation results were compared with the measured data. The mean absolute percentage error (MAPE) was 19.47% for PM2.5 concentration. In order to improve accuracy, Simulation 2, in which the wind speed and indoor/outdoor air pressure difference are corrected, is presented. The MAPE of PM2.5 concentration by the corrected Simulation 2 was lowered 5.15%.
Record ID
Keywords
Carbon Dioxide, diagnosis program, energy recovery ventilation, indoor air quality, multipurpose activity, office, PM2.5, Visual Basic Application
Subject
Suggested Citation
Lee YK, Kim YI, Kim GH. Indoor Air Quality Diagnosis Program for School Multi-Purpose Activity and Office Spaces. (2023). LAPSE:2023.8438
Author Affiliations
Lee YK: Department of Architectural Engineering, Graduate School, Seoul National University of Science and Technology, Seoul 01811, Korea [ORCID]
Kim YI: School of Architecture, Seoul National University of Science and Technology, Seoul 01811, Korea
Kim GH: Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology, Seoul 01811, Korea
Kim YI: School of Architecture, Seoul National University of Science and Technology, Seoul 01811, Korea
Kim GH: Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology, Seoul 01811, Korea
Journal Name
Energies
Volume
15
Issue
21
First Page
8134
Year
2022
Publication Date
2022-10-31
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15218134, Publication Type: Journal Article
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LAPSE:2023.8438
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https://doi.org/10.3390/en15218134
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Feb 24, 2023
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