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Development of CO 2 Concentration Prediction Tool for Improving Office Indoor Air Quality Considering Economic Cost

Author

Listed:
  • Yeo-Kyung Lee

    (Department of Architectural Engineering, Graduate School, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Young Il Kim

    (School of Architecture, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Woo-Seok Lee

    (School of Architectural Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

Abstract

Ventilation is becoming increasingly important to improve indoor air quality and prevent the spread of COVID-19. This study analyzed the indoor air quality of office spaces, where occupants remain for extended periods, among multi-use facilities with an increasing need for ventilation system application. A “tool for office space CO 2 prediction and indoor air quality improvement recommendation” was developed. The research method was divided into four steps. Step 1: Analysis of indoor air quality characteristics in office spaces was carried out with a questionnaire survey and indoor air quality experiment. Based on the CO 2 concentration, which was found to be a problem in the indoor air quality experiment in the office space, Step 2: CO 2 concentration prediction tool for office spaces, which requires inputs of regional and spatial factors and architectural and equipment elements, was developed. In Step 3: Development and verification of prediction tool considering economic feasibility, the cost of energy recovery ventilation systems based on the invoices of the energy recovery ventilation manufacturers was analyzed. In Step 4: Energy recovery ventilation proposal and indoor CO 2 forecast, Office Space B, which can accommodate up to 15 people, was derived as an example of the proposed tool. As a result of the prediction, the optimal air volume of the energy recovery ventilation was determined according to the “office CO 2 prediction and indoor air quality improvement recommendations”. This study introduced simple tools, which can be used by non-experts, that are capable of showing changes in indoor air quality, CO 2 concentration and cost according to activities.

Suggested Citation

  • Yeo-Kyung Lee & Young Il Kim & Woo-Seok Lee, 2022. "Development of CO 2 Concentration Prediction Tool for Improving Office Indoor Air Quality Considering Economic Cost," Energies, MDPI, vol. 15(9), pages 1-28, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3232-:d:804604
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    References listed on IDEAS

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    1. Junghyon Mun & Jongik Lee & Minsung Kim, 2021. "Estimation of Infiltration Rate (ACH Natural) Using Blower Door Test and Simulation," Energies, MDPI, vol. 14(4), pages 1-13, February.
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    Cited by:

    1. Łukasz J. Orman & Natalia Krawczyk & Norbert Radek & Stanislav Honus & Jacek Pietraszek & Luiza Dębska & Agata Dudek & Artur Kalinowski, 2023. "Comparative Analysis of Indoor Environmental Quality and Self-Reported Productivity in Intelligent and Traditional Buildings," Energies, MDPI, vol. 16(18), pages 1-21, September.

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