Indoor Air Quality Diagnosis Program for School Multi-Purpose Activity and Office Spaces

Yeo Kyung Lee, Young Il Kim, Ga Hyeon Kim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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%.

Original languageEnglish
Article number8134
JournalEnergies
Volume15
Issue number21
DOIs
StatePublished - Nov 2022

Keywords

  • carbon dioxide
  • diagnosis program
  • energy recovery ventilation
  • indoor air quality
  • multipurpose activity
  • office
  • PM
  • Visual Basic Application

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