Indoor Air Quality Measurements in Enclosed Spaces Combining Activities with Different Intensity and Environmental Conditions
Abstract
:1. Introduction
2. Materials and Methods
2.1. Measurement Definition
- University Classroom A206–Scenario 1: During class with students.
- University Classroom A206–Scenario 2: Quasi-empty class.
- Ignacio Aldecoa Library—Children’s area.
- Ignacio Aldecoa Library—Assembly Hall
- Ignacio Aldecoa Library—Conference Room.
- Mendizorroza sports facilities—Training Room
- Mendizorroza sports facilities—Spinning Room
2.2. Instrumentation and Methodology
2.3. Measurement Repeateability Limitations
3. Results
3.1. University Classroom—Scenario 1: During Class with Students
3.2. University Classroom A206–Scenario 2: Quasi-Empty Class
3.3. Ignacio Aldecoa Library—Children’s Area
3.4. Ignacio Aldecoa Library—Assembly Hall
3.5. Ignacio Aldecoa Library—Conference Room
3.6. Mendizorroza Sports Facilities—Training Room
3.7. Mendizorroza Sports Facilities—Spinning Room
4. Discussion and Measurement Comparison
5. Conclusions
- Drastic decreases in the CO2 concentration are observed within a few minutes of ventilation after no-ventilation intervals. This leads to a drop in temperature that is always associated with an increase in relative humidity.
- The no-ventilation scenario with people inside the enclosed space forces the carbon dioxide concentration to linearly increase for the first 20 min.
- In the case of the interior building environment containing a lower particulate matter concentration than that in the outside environment, the natural ventilation strategy simultaneously combining windows and doors more quickly increases the particulate matter concentration in the enclosed space over the strategy involving only windows.
- When the sensors are at the same height, the measured carbon dioxide values are almost equal. The only notorious case is when the sensor located at 0.6 m measures higher concentrations of CO2 in low intensity scenarios compared to the sensor located at 1.1 m height. The rest of the measurements present higher level of concentration for the sensor being at the height of the mouth of the individuals. Therefore, sensors must be properly situated and approximately at the height where the mouths of the individuals are expected to be. Including sensors at different heights has shown to be efficient in corroborating this effect.
- Medium- and high-intensity activities do not show a notable difference due to the excessive movement of air produced by air conditioning and movement of people, as reported by Bhagat et al. [28]. Further measurements should be made in order to clarify the effects of high-intensity activities with the help of more sensors and repeating the activity, e.g., with air conditioning on and off. Moreover, other ventilation systems could be studied to compare them, even filtering, but cost of these systems cannot be afforded for typical buildings as schools, libraries or gyms.
- The less the pollutants, the shorter the time required to get rid of them. Therefore, designing a building in advance with proper location of the windows, doors and other overtures on the enclosed spaces preventing the entrance of pollutants from the outside is shown as the most effective way of reducing such pollutants.
- Measurement 6, located in the training room, indicated a difference from the rest of the enclosed-space measurements in this study. Notably, another room was present on the other side of the windows, whereas the outside environment applied among the rest of the measurement spaces. This particularity, which isolated the indoor ambient and outdoor environments, prevented particulate matter from entering the enclosed space where the activity occurred, maintaining a stable and low level even with the windows or both the windows and doors opened.
- Designing buildings with an air chamber between windows and the outdoors would be an efficient strategy to reduce PM concentrations, e.g., having an external crystal envelope around it, as presented in in results of measurement 6 and in the 2D drawing included in the Supplementary Material of the current article. It must be clarified that in this case, there is a crystal curtain in front of the windows, which is only connected to the building by structural beams at each floor and to the top roof by a hermetic metallic-crystal coverture that prevents from wind, rain and snow effects. Thus, this strategy is recommended to maintain adequate IAQ conditions.
- Natural ventilation from window to window crossing the area of the enclosed space is presented as a very efficient way of reducing CO2 concentrations in a short period of time. Therefore, it is advisable to design a building providing enclosed spaces this capability in order to also maintain adequate IAQ conditions.
- There is a relationship between high levels of carbon dioxide and the probability of infection risk. Moreover, the probability of infection risk after a long period of no ventilation or once it reaches the maximum value of 100% barely presents any reduction.
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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M. No. | Location | Day | Period | Vent. System | Occupancy * (Xi-Xm-Xe) | Activity Intensity Level | Mask |
---|---|---|---|---|---|---|---|
1 | UPV/EHU A206 classroom | 15 Dec 2021 | 11:07–13:29 | natural | 0-15-0 | Low | YES |
2 | UPV/EHU A206 classroom | 16 December 2021 | 11:21–13:43 | natural | 0-1-0 | Low | YES |
3 | Library children’s area | 22 December 2021 | 17:34–19:31 | natural | 0-40-0 | Low/medium | 14 Children NO |
4 | Library assembly hall | 23 December 2021 | 10:53–13:13 | natural | 0-49-0 | Low | YES |
5 | Library conference room | 23 December 2021 | 17:38–19:56 | natural | 0-31-0 | Low | YES |
6 | Gym training room | 27 December 2021 | 18:01–20:00 | natural (A/C ON) | 0-14-0 | Medium | YES |
7 | Gym spinning room | 28 December 2021 | 18:55–21:15 | natural (A/C ON) | 0-22-0 | Medium/high | YES |
M. No. | Ceiling Height [m] | Floor Area [m2] | Enclosed Space Volume [m3] | Window Type | Vent. Area Min. [m2] | Vent. Area Windows [m2] | Vent. Area Doors [m2] | Vent. Area Max. [m2] | Floor Area per Person [m2] |
---|---|---|---|---|---|---|---|---|---|
1 | 4.0 | 57.2 | 229 | Turn | 0.0 | 4.2 | 3.4 | 7.5 | 3.8 |
2 | 4.0 | 57.2 | 229 | Turn | 0.0 | 4.2 | 3.4 | 7.5 | 57.2 |
3 | 5.0 | 315.8 | 1579 | Centre Tilt | 0.5 | 2.4 | - | 2.4 | 7.9 |
4 | 3.3 | 305.5 | 1008 | Centre Tilt | 0.0 | - | 1.8 | 1.8 | 6.2 |
5 | 3.4 | 79.7 | 271 | Centre Tilt | 0.2 | 0.2 | - | 0.2 | 2.6 |
6 | 3.3 | 149.0 | 492 | Bottom Tilt | 2.4 | 2.4 | 2.0 | 4.3 | 10.6 |
7 | 3.0 | 116.8 | 350 | Bottom Tilt | 2.4 | 0.4 | 2.4 | 2.8 | 5.3 |
M. No. | Closest Weather Station | Station Distance [m] | Temperature [°C] | Relative Humidity [%] | Patm [mbar] | Wind Speed [km/h] | Wind Main Component |
---|---|---|---|---|---|---|---|
1 | Pharmacy | 250 | 2–5 | 97–90 | 961 | 1–2 | N |
2 | Pharmacy | 250 | 2–4 | 94–87 | 962 | 1–3 | NE |
3 | Pharmacy | 500 | 5–4 | 88–94 | 952 | 2–3 | NW |
4 | Pharmacy | 500 | 7–9 | 82–79 | 954 | 3–2 | W |
5 | Pharmacy | 500 | 7.5 | 90–92 | 951 | 1–2 | NW |
6 | Pharmacy | 1250 | 13 | 66–63 | 945 | 25–28 | SW |
7 | Pharmacy | 1250 | 14–13 | 70–72 | 954 | 12–9 | SW |
M. No. | Measurement | Min CO2 [ppm] | Max CO2 [ppm] | Closed Time [min] | CO2 Function f(t) Type | No. of Persons | Inside Volume [m3] | Inside Volume/Person [m3] | ΔCO2/Time [ppm/min] | (Inside Volume/Person) /(ΔCO2/Time) [m3·min/ppm] |
---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 700 | 1027 | 20 | Linear | 15 | 229 | 15.3 | 16.4 | 0.9 |
2 | 2 | 522 | 605 | 20 | Linear | 1 | 229 | 229 | 4.2 | 55.1 |
4 | 4 | 700 | 820 | 23 | Linear | 49 | 1008 | 20.6 | 5.2 | 3.9 |
5 | 5 | 700 | 1200 | 25 | Linear | 31 | 271 | 8.7 | 20.0 | 0.4 |
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Urbina-Garcia, O.; Fernandez-Gamiz, U.; Zulueta, E.; Ugarte-Anero, A.; Portal-Porras, K. Indoor Air Quality Measurements in Enclosed Spaces Combining Activities with Different Intensity and Environmental Conditions. Buildings 2024, 14, 1007. https://doi.org/10.3390/buildings14041007
Urbina-Garcia O, Fernandez-Gamiz U, Zulueta E, Ugarte-Anero A, Portal-Porras K. Indoor Air Quality Measurements in Enclosed Spaces Combining Activities with Different Intensity and Environmental Conditions. Buildings. 2024; 14(4):1007. https://doi.org/10.3390/buildings14041007
Chicago/Turabian StyleUrbina-Garcia, Oskar, Unai Fernandez-Gamiz, Ekaitz Zulueta, Ainara Ugarte-Anero, and Koldo Portal-Porras. 2024. "Indoor Air Quality Measurements in Enclosed Spaces Combining Activities with Different Intensity and Environmental Conditions" Buildings 14, no. 4: 1007. https://doi.org/10.3390/buildings14041007
APA StyleUrbina-Garcia, O., Fernandez-Gamiz, U., Zulueta, E., Ugarte-Anero, A., & Portal-Porras, K. (2024). Indoor Air Quality Measurements in Enclosed Spaces Combining Activities with Different Intensity and Environmental Conditions. Buildings, 14(4), 1007. https://doi.org/10.3390/buildings14041007