Adaptive thermal comfort in university classrooms in Malaysia and Japan

Zaki, Sheikh Ahmad; Damiati, Siti Aisyah; Rijal, Hom Bahadur; Hagishima, Aya; Razak, Azli Abd

doi:10.1016/j.buildenv.2017.06.016

Cited by 132 publications

(55 citation statements)

References 27 publications

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“…Numerous researchers have conducted studies on thermal comfort of students in the classrooms in various places in the world. These studies include the analysis of thermal comfort in schools in the temperate climate in the United Kingdom (UK) [14][15][16], Mediterranean climate in Italy [17][18][19][20][21], subtropical climate in Taiwan [22][23][24][25], Japan [26,27], and Australia [28,29]. In the tropical area, studies of thermal comfort at schools have been made in Singapore [30], Malaysia [26] and Hawaii [31].…”

Section: Introductionmentioning

confidence: 99%

Thermal Comfort Analyses of Secondary School Students in the Tropics

et al. 2018

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This study aims to analyze the thermal comfort level of students in secondary schools in the tropical city of Makassar. The analysis is carried out based on data surveyed from eight selected high schools. The study involved 1594 students in 48 classrooms. The recorded data includes personal data and measured environmental parameters. At the same time, students were asked to fill out questionnaires related to their thermal comfort levels. The surveyed classrooms showed high air temperatures. The air temperatures ranged from 28.2 • C in the morning to 33.6 • C in the midday. The radiant temperatures were similar to the air temperature, which indicated that the airflow speed was low. The only parameter that could meet the Indonesian national standard was relative humidity. However, many students still feel comfortable (−1 to +1) based on TSV (thermal sensation vote) and TCV (thermal comfort vote). Even though about 80% of respondents accepted this hot temperature, most of them preferred to have a decrease in the air temperature. Regarding the PMV (predicted mean vote), only about 23% respondents were predicted to feel slightly warm (+1). The regression analyses show that the neutral temperatures were 29.0 • C and 28.5 • C for TSV and TCV, respectively.

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Section: Introductionmentioning

confidence: 99%

Thermal Comfort Analyses of Secondary School Students in the Tropics

et al. 2018

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“…Thus, the proper and efficient use of AC systems that realizes comfort and healthy indoor environment as well as reduces energy consumption is strongly needed. However, according to previous studies that had conducted in Malaysia, the pre-set temperatures of AC for space cooling in dwellings [6,16], offices [2,9], and educational classroom [17] are much lower than values recommended by Malaysian governments. In dwellings, most of the AC used for sleeping purpose [6,10,16].…”

Section: Introductionmentioning

confidence: 89%

Field Survey of Thermal Comfort and Sleep Quality in the Bedrooms with Different Cooling Strategies in Malaysia

Sadzli

Zaki

Rijal

et al. 2019

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This study aims to determine the indoor comfort temperature before sleep and after wake up in air-conditioning (AC) mode with different adaptive cooling strategies. Two units of guest rooms on the university campus were used with a total of 20 participants. The arbitrary-controlled AC setting (case 1) and control of thermostat setting by 3∘C higher than case 1 with installing of cool bed padding (case 2) were employed as cooling strategies in this study. The measurement parameters were indoor and outdoor air temperatures, globe temperature, relative humidity, air velocity, and AC electricity consumption. The questionnaire survey has also been distributed twice a day for “before going to bed” and “after waking up” during measurement simultaneously. It was observed that thermal sensation vote (TSV) indicated for both cases were within -1 ≤ TSV ≤ 1 and respondents might accept the present condition for both cases. Mean thermal preference (TP) in both cases either “before going to bed” and “after waking up” was found mostly close to “0 no change” (0.1 ≤ TP ≤ 0.3) for all cases. Overall comfort (OC) ranged between 4.7 and 4.9 for both cases, indicating for “comfortable.” However, air movement sensation (AMS) shows respondent felt weak airflow inside the room for all ventilation strategies. The skin moisture sensation (SMS) shows value pointed to neutral feeling for all cases. The comfort temperature obtained by Griffiths’ method was approximately 24∘C and 25∘C that for case 1 and case 2, respectively. Meanwhile, most of the respondents experienced calmness during sleeping and satisfied with their sleep in both cases. Sleep efficiency index (SEI) shows case 2 was higher rather than case 1. It seems the second adaptive cooling strategy might effective for reducing AC energy consumption by about 32% and increase 2% of SEI without affecting respondents’ thermal comfort.

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“…The mean TSV of each bin was determined. Linear regression, which has been used to investigate thermal comfort datasets since 1930s [34,35], was adopted to evaluate the neutral temperatures in this research. Figure 7 shows the regression results of the mean TSV against indoor operative temperature with standard deviation shown for each bin.…”

Section: Investigation Of Neutral Temperaturesmentioning

confidence: 99%