Evaluation of thermal comfort in library buildings in the tropical climate of Kumasi, Ghana

Mohammadpourkarbasi, Haniyeh; Jackson, Iain; Nukpezah, Daniel; Addo, Irene Appeaning; Oppong, R. A.

doi:10.1016/j.enbuild.2022.112210

Cited by 9 publications

(4 citation statements)

References 41 publications

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“…In thermal sensation studies, T o is commonly used. 24,40–42 It can be seen as a combined index of air temperature, mean radiant temperature and air velocity was calculated using Equation (1):…”

Section: Methodsmentioning

confidence: 99%

“…In thermal sensation studies, T o is commonly used. 24,[40][41][42] It can be seen as a combined index of air temperature, mean radiant temperature and air velocity was calculated using Equation (1): Four IEQ loggers were employed to measure and record the physical parameters in the four investigated spaces. Since all the investigated spaces were mechanically ventilated and the inlets were evenly distributed on the ceilings, the air temperature distributions were assumed to be uniform in these rooms.…”

Section: Data Collectionmentioning

confidence: 99%

“…The accuracy and range of the sensors for Ta, Tr, RH, Va were ±1℃ (0-100 ℃), ±2℃ (0-100 ℃), ±2% (0-100%) and ±5% of reading scale (0.2-20m/s), respectively. To was commonly used in thermal sensation studies, 24,[40][41][42] because it can be seen as a combined index of air temperature, mean radiant temperature and air velocity was calculated using equation (1):…”

Section: Data Collectionmentioning

confidence: 99%

“…22 Although these renovations were done to accommodate students' preferences and needs, many university libraries still lack good thermal quality. For example, Akanmu et al 23 found that the temperature and relative humidity in most units of libraries in Nigerian could not meet the related requirements, and Mohammadpourkarbasi et al 24 reported that the majority of the occupants in the investigated library felt "slightly cool" or "cool". This might have unfavourable effects on students' experience and thereby reducing their visit frequencies and academic performance.…”

Section: Introductionmentioning

confidence: 99%

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Predicting students’ thermal sensation votes in university libraries taking into account their mood states

Zhang,

Hou,

Tsang

et al. 2024

Indoor and Built Environment

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This study examined the effect of mood states on students’ thermal sensations within a university library comprising quiet-study and group-study rooms. Through concurrent subjective and objective assessments over five consecutive workdays, this study investigated the influence of psychological factors, particularly mood states, in influencing thermal sensations. This study addressed a paucity of prior research in library settings where both independent and collaborative studies have been undertaken. Subjective data (i.e. personal information, thermal assessment and mood states) via questionnaires and objective data (i.e. air temperature, radiant temperature, relative humidity and air velocity) via on-site measurements were collected during five working days. Statistical analyses (ANOVA, t-test, correlations and regression) indicated that male students and those with bad feelings (e.g. hostile and upset) reported significantly higher thermal sensation votes (TSVs) ( p < 0.05) compared to females and those with neutral/good feelings (0.4–0.5 difference out of 7). Two predictive models for TSV were developed for males and females, considering factors like body mass index (BMI), operative temperature and mood states. This research offers insights for designing specific study environments to improve thermal comfort, fostering students’ well-being and guiding future initiatives in this area.

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