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

Yeo-Kyung Lee, Young Il Kim and Woo-Seok Lee
Additional contact information
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

Energies, 2022, vol. 15, issue 9, 1-28

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.

Keywords: CO 2; PM 2.5; ERV (energy recovery ventilation); office space; PMV (predicted mean vote); LCC (life cycle cost) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/9/3232/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/9/3232/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:9:p:3232-:d:804604

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().