Experimental assessment of thermal comfort and indoor air quality in worship places: The influence of occupancy level and period

Reda, Ibrahim; AbdelMessih, Raouf N.; Steit, Mohamed; Mina, Ehab M.

doi:10.1016/j.ijthermalsci.2022.107686

Cited by 14 publications

(4 citation statements)

References 34 publications

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“…-Relative humidity sensors are not available in the apartments. A thorough and complete assessment of the indoor thermal comfort following International Standards such as the ASHRAE 55 and ISO 7730 [24,25] was therefore not possible. However, Sections 3.6 and 3.7 propose insights based on the available measurements, including indoor temperature and CO 2 concentration.…”

Section: Study Roadmap and Limitationsmentioning

confidence: 99%

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Long-Term Evaluation of Comfort, Indoor Air Quality and Energy Performance in Buildings: The Case of the KTH Live-In Lab Testbeds

2022

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Digitalization offers new, unprecedented possibilities to increase the energy efficiency and improve the indoor conditions in buildings in a cost-efficient way. Smart buildings are seen by many stakeholders as the way forward. Smart buildings feature advanced monitoring and control systems that allow a better control of the buildings’ indoor spaces, but it is becoming evident that the massive amount of data produced in smart buildings is rarely used. This work presents a long-term evaluation of a smart building testbed for one year; the building features state-of-the-art monitoring capability and local energy generation (PV). The analysis shows room for improving energy efficiency and indoor comfort due to non-optimal control settings; for instance, average indoor temperatures in all winter months were above 24 °C. The analysis of electricity and domestic hot water use has shown a relevant spread in average use, with single users consuming approximately four times more than the average users. The combination of CO2 and temperature sensor was sufficient to pinpoint the anomalous operation of windows in wintertime, which has an impact on energy use for space heating. Although the quantification of the impact of users on the overall energy performance of the building was beyond the scope of this paper, this study showcases that modern commercial monitoring systems for buildings have the potential to identify anomalies. The evidence collected in the paper suggests that this data could be used to promote energy-efficient behaviors among building occupants and shows that cost-effective actions could be carried out if data generated by the monitoring and control systems were used more extensively.

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Section: Study Roadmap and Limitationsmentioning

confidence: 99%

“…-Relative humidity is not available. This precludes the possibility for a complete assessment of the indoor thermal comfort following International Standards such as the ASHRAE 55 and ISO 7730 [24,25]. -Windows magnetic sensors are not available.…”

Section: Shortcomings Of the Monitoring Systemmentioning

confidence: 99%

Long-Term Evaluation of Comfort, Indoor Air Quality and Energy Performance in Buildings: The Case of the KTH Live-In Lab Testbeds

2022

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“…Carbon dioxide (CO2) levels indoors are often used as an indicator of indoor air quality and ventilation effectiveness. Studies have consistently shown that indoor CO2 levels increase with occupancy, particularly in inadequately ventilated spaces [3,4]. High indoor CO2 levels have been associated with adverse health effects, including headaches, fatigue, and decreased cognitive function [5] as well as decreased work performance and productivity [6,7].…”

Section: Introductionmentioning

confidence: 99%

Investigation of personal air pollution exposures and occupants’ fresh air demands in two office buildings in Switzerland

Yun,

Licina

2023

J. Phys.: Conf. Ser.

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This study assessed personal exposures to indoor air pollutants in office environments with dynamic occupancy profiles. A two-week field campaign was conducted in two Swiss office buildings, examining three target areas in each building. We measured air temperature (T), relative humidity (RH), CO2, PM2.5, and PM10 levels at three stationary locations of each target area. Four office workers carried a customized vest to monitor personal CO2 and PM levels near their breathing zone. Using smartwatches, the workers completed hourly surveys about their activity profiles and preferences for outdoor air. We found that CO2 and PM10 concentrations were 1.2–1.3x and 1.8–2.5x higher, respectively, in the personal monitor compared to stationary sensors. Occupants had higher personal CO2 levels during sitting activity and higher personal PM levels during standing activity. Lunch/coffee/call activities were associated with discernible peaks of personal exposure to CO2, PM2.5, and PM10. The higher T coupled with lower RH measured at the personal level was associated with higher occupant demands for outdoor air.

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“…However, though most studies investigated all IEQ aspects, they just discussed the relationship between overall comfort and individual aspect and didn't elaborate on their interferences among different IEQ aspects [9,21,22]. Moreover, it has been found that most relevant studies considering the interactions among various IEQ aspects select only offices as research targets [23][24][25][26]. Few studies have been conducted on university classrooms with unique traits compared to other rooms [27].…”

Section: Introductionmentioning

confidence: 99%

Indoor Thermal and Ventilation Indicator on University Students’ Overall Comfort

Jia¹,

Li²,

Chen

et al. 2022

Buildings

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Thermal comfort (TC) and CO2 concentration significantly influence the overall indoor comfort sensations of building occupants. However, few studies have focused on educational buildings regarding both TC and CO2 concentration in tropical regions, and they also lack guidelines for short-term evaluation, which is essential for university classrooms. In this study, a mechanically ventilated university classroom was selected to investigate the 5 min-averaged comfort ranges for indoor parameters and the impacts of TC and variation of CO2 on student overall comfort. The real-time indoor environmental parameters were monitored, including indoor air temperature (Ta), mean radiant temperature (Tm), relative humidity (RH) and CO2 and air velocity (va); the operative temperature (Top) was calculated. Moreover, an online-based questionnaire survey related to thermal sensation (TS) and CO2-related air sensation (AS) was carried out. Linear and nonlinear regression models of comfort sensation predictions were obtained based on the questionnaires and corresponding measured indoor environmental data. The 5 min-averaged comfort ranges for Top, CO2 and RH are 21.5–23.8 °C, <1095 ppm and 47–63.5%, respectively. The comfort range of the TS and AS are 2.3–3.1 and 1–1.55, respectively. The result shows that students prefer a relatively cold indoor environment, as this improves their ability to tolerate bad indoor air quality (IAQ) with high CO2. A regression analysis indicated that AS is the most critical aspect, with a weight of 0.32, followed by TS, with 0.18. Finally, it was also found that individual weighting coefficients were not equivalent and differed across geographical locations and building types. Thus, obtaining the prediction models for a particular building is necessary. The results can give meaningful suggestions to adopt the appropriate operations for HVAC and improve indoor environmental quality in university buildings in tropical regions.

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Experimental assessment of thermal comfort and indoor air quality in worship places: The influence of occupancy level and period

Cited by 14 publications

References 34 publications

Long-Term Evaluation of Comfort, Indoor Air Quality and Energy Performance in Buildings: The Case of the KTH Live-In Lab Testbeds

Long-Term Evaluation of Comfort, Indoor Air Quality and Energy Performance in Buildings: The Case of the KTH Live-In Lab Testbeds

Investigation of personal air pollution exposures and occupants’ fresh air demands in two office buildings in Switzerland

Indoor Thermal and Ventilation Indicator on University Students’ Overall Comfort

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