Academic Journal
Quantifying Physical and Chemical Processes of Indoor CO2 and Ozone in a University Classroom Using Low‐Cost Sensors and Model Simulation.
| Τίτλος: | Quantifying Physical and Chemical Processes of Indoor CO |
|---|---|
| Συγγραφείς: | Chen, Feng1 (AUTHOR), Huang, Wei-Chieh1 (AUTHOR), Hwang, Wei-Chun1 (AUTHOR), Wang, Yaying2 (AUTHOR), Ye, Jianhuai2 (AUTHOR), Hung, Hui-Ming1 (AUTHOR) hmhung@ntu.edu.tw, Jha, Poulami (AUTHOR) pojha@wiley.com |
| Πηγή: | Indoor Air. 4/28/2025, Vol. 2025, p1-13. 13p. |
| Θεματικοί όροι: | *Indoor air quality, *Chemical process control, *Volatile organic compounds, *Ozone, *Air quality |
| Περίληψη: | Indoor air quality is a crucial factor affecting human health, with high levels of CO2 impairing cognition and ozone reacting with human skin to produce volatile organic compounds (VOCs), such as geranyl acetone (Ga), 6‐methyl‐5‐hepten‐2‐one (6‐MHO), and 4‐oxopentanal (4‐OPA), which can cause irritation to the respiratory tract and skin. In this study, the indoor air quality of a university classroom was monitored using home‐built air quality boxes (AQBs) comprising low‐cost sensors for various gas species, including CO2, ozone, and NOx. The interaction processes between indoor and outdoor air and human interference were investigated using box model simulation of CO2 and ozone profiles. The results indicate both indoor CO2 and ozone were significantly affected by the ventilation and number of occupants. The simulation of CO2 profiles retrieves an air exchange rate constant of ~1.05 h−1 for one door opening, in addition to the room ventilator of 1.20 h−1. With the derived parameters, the study estimated that ozone, mainly transported from the outdoors and consumed by room and human surfaces, has deposition velocities of 0.019 ± 0.005 and 0.45 ± 0.15 cm s−1 for room and human surfaces, respectively, consistent with the literature. The simulation also suggests that VOCs such as Ga, 6‐MHO, and 4‐OPA from ozone consumption on human surfaces might accumulate indoors to several parts per billion by volume in a crowded room with poor ventilation. The integration of observation using low‐cost sensors with the model simulation quantified the physical and chemical processes controlling indoor ozone concentration and organic ozonolysis. Furthermore, the study suggests that the retrieved parameters from the model could guide proper ventilation strategies to maintain good indoor air quality with energy efficiency based on the number of occupants. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: | Academic Search Index |
| FullText | Links: – Type: other Text: Availability: 0 |
|---|---|
| Header | DbId: asx DbLabel: Academic Search Index An: 184830562 RelevancyScore: 1354 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1353.70397949219 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Quantifying Physical and Chemical Processes of Indoor CO<subscript>2</subscript> and Ozone in a University Classroom Using Low‐Cost Sensors and Model Simulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Feng%22">Chen, Feng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Wei-Chieh%22">Huang, Wei-Chieh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hwang%2C+Wei-Chun%22">Hwang, Wei-Chun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yaying%22">Wang, Yaying</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ye%2C+Jianhuai%22">Ye, Jianhuai</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hung%2C+Hui-Ming%22">Hung, Hui-Ming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hmhung@ntu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Jha%2C+Poulami%22">Jha, Poulami</searchLink> (AUTHOR)<i> pojha@wiley.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Indoor+Air%22">Indoor Air</searchLink>. 4/28/2025, Vol. 2025, p1-13. 13p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Indoor+air+quality%22">Indoor air quality</searchLink><br />*<searchLink fieldCode="DE" term="%22Chemical+process+control%22">Chemical process control</searchLink><br />*<searchLink fieldCode="DE" term="%22Volatile+organic+compounds%22">Volatile organic compounds</searchLink><br />*<searchLink fieldCode="DE" term="%22Ozone%22">Ozone</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+quality%22">Air quality</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Indoor air quality is a crucial factor affecting human health, with high levels of CO2 impairing cognition and ozone reacting with human skin to produce volatile organic compounds (VOCs), such as geranyl acetone (Ga), 6‐methyl‐5‐hepten‐2‐one (6‐MHO), and 4‐oxopentanal (4‐OPA), which can cause irritation to the respiratory tract and skin. In this study, the indoor air quality of a university classroom was monitored using home‐built air quality boxes (AQBs) comprising low‐cost sensors for various gas species, including CO2, ozone, and NOx. The interaction processes between indoor and outdoor air and human interference were investigated using box model simulation of CO2 and ozone profiles. The results indicate both indoor CO2 and ozone were significantly affected by the ventilation and number of occupants. The simulation of CO2 profiles retrieves an air exchange rate constant of ~1.05 h−1 for one door opening, in addition to the room ventilator of 1.20 h−1. With the derived parameters, the study estimated that ozone, mainly transported from the outdoors and consumed by room and human surfaces, has deposition velocities of 0.019 ± 0.005 and 0.45 ± 0.15 cm s−1 for room and human surfaces, respectively, consistent with the literature. The simulation also suggests that VOCs such as Ga, 6‐MHO, and 4‐OPA from ozone consumption on human surfaces might accumulate indoors to several parts per billion by volume in a crowded room with poor ventilation. The integration of observation using low‐cost sensors with the model simulation quantified the physical and chemical processes controlling indoor ozone concentration and organic ozonolysis. Furthermore, the study suggests that the retrieved parameters from the model could guide proper ventilation strategies to maintain good indoor air quality with energy efficiency based on the number of occupants. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asx&AN=184830562 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/ina/3358673 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Indoor air quality Type: general – SubjectFull: Chemical process control Type: general – SubjectFull: Volatile organic compounds Type: general – SubjectFull: Ozone Type: general – SubjectFull: Air quality Type: general Titles: – TitleFull: Quantifying Physical and Chemical Processes of Indoor CO2 and Ozone in a University Classroom Using Low‐Cost Sensors and Model Simulation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Feng – PersonEntity: Name: NameFull: Huang, Wei-Chieh – PersonEntity: Name: NameFull: Hwang, Wei-Chun – PersonEntity: Name: NameFull: Wang, Yaying – PersonEntity: Name: NameFull: Ye, Jianhuai – PersonEntity: Name: NameFull: Hung, Hui-Ming – PersonEntity: Name: NameFull: Jha, Poulami IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 04 Text: 4/28/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09056947 Numbering: – Type: volume Value: 2025 Titles: – TitleFull: Indoor Air Type: main |
| ResultId | 1 |