Thermal comfort and occupant adaptive behaviour in Japanese university buildings with free running and cooling mode offices during summer

Mustapa, Mohd Sabri; Zaki, Sheikh Ahmad; Rijal, Hom Bahadur; Hagishima, Aya; Ali, Mohamed Sukri Mat

doi:10.1016/j.buildenv.2016.06.014

Cited by 136 publications

(69 citation statements)

References 29 publications

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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: 90%

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

Sadzli

Zaki

Rijal

et al. 2019

KSS

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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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Section: Introductionmentioning

confidence: 90%

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

Sadzli

Zaki

Rijal

et al. 2019

KSS

Self Cite

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“…The number of data points (responses) collected varies significantly in the literature. For example, Luo et al, [31] obtained 834 points from 50 individuals, Sharma and Ali [32] obtained a total of 5100 from 18 individuals, Mustapa el al, [33], collected 303 from 28 individuals and Indraganti and Rao [34] collected 3962 responses from 100 individuals. In a transverse survey, Ogbonna and Harris, [35] had a sample size of 200 subjects, Feriadi and Wong, [36] had 525 subjects.…”

Section: Sampling Methods For the Thermal Comfort Surveymentioning

confidence: 99%

“…Given that the votes and spot measurements of the environmental variables in the dwellings were recorded simultaneously, regression can be used to estimate the temperature at which a population will feel neutral and the range of temperatures the majority (80%) are likely to feel comfortable over. Simple and multiple linear regressions are the most widely used methods for modelling occupant thermal sensation in field studies [10,11,13,19,33,[45][46][47][48][49][50][51][52]. In our case, the simple linear regression method consists of plotting the TSV recorded from the refugees against the indoor operative temperature (To) and drawing the regression line; the neutral temperature (Tn) is then the temperature corresponding to a mean TSV of zero [29]:…”

Section: Regression Methodsmentioning

confidence: 99%

Thermal comfort in desert refugee camps: An interdisciplinary approach

Albadra

Vellei

Coley

et al. 2017

Building and Environment

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Long-term encampment is a growing aspect of a growing refugee crisis. There is hence the need to ensure shelters provide a safe and suitable environment. We present the first field study including social and thermal comfort surveys and physical measurements conducted in Syrian refugee camps in Jordan, during summer and winter. This required the creation of a new Arabic thermal comfort survey based on the numerical ASHRAE scales to ensure the elimination of any ambiguities due to translating the scales. The three analysis methods used (linear, logistic and multiple logistic regression) all gave the same neutral temperature, 23°C; however, Fanger's predicted mean vote model was found to underestimate the adaptive potential of the refugees. The comfort band found using logistic regression ranged from 28.4°C to 17.2°C, suggesting a significant adaptability of the refugees, but not one equal to the temperature range found on site. Issues with the clash between ventilation, privacy, security and sand ingress were identified, and this points to a need to re-evaluate shelter ventilation in general. However, given the extreme conditions recorded, natural cross ventilation alone will not be sufficient in achieving summer comfort. Combining this with the observation that, due to safety and lack of resource, the refugees have no means of heating at night, a shelter solution that successfully includes insulation, and possibly thermal mass would seem important.

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“…77 Contemporary literature supports this theory and further explicates that the adaptation process prompts occupants to take an action for achieving thermal satisfaction with the environment. 78,79 In simpler terms, it could be supposed that occupant behavior is an adaptive response to the thermal environment. A host of occupant factors, as discussed in Section 4.1, influences occupant behavior beside the indoor and outdoor conditions.…”

Section: Interrelationships Between Occupant Behavior and Rebound/pmentioning

confidence: 99%

Rethinking indoor thermal comfort in the era of rebound and pre‐bound effect for the developing world: A systematic review

2020

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Indoor Air. 2020;30:377-395. | 377 wileyonlinelibrary.com/journal/ina | INTRODUC TI ONThermal comfort is defined as the condition of mind which expresses satisfaction within the thermal environment and is assessed by subjective evaluation. 1 Though this definition aptly stresses on judgment of comfort being a cognitive process, it does not describe precisely as to what is meant by the condition of mind or satisfaction. 2 Thermal comfort, in general, depends on six environmental and personal parameters-air temperature, mean radiant temperature, air velocity, relative humidity, clothing level, and metabolic rate. 3 The adaptive model further considers the effects of psychological, physiological, and behavioral aspects in determining comfort but only at an aggregated level. Moreover, aspects related to sociocultural practices, thermal history, context, and income are not comprehensively considered in the existing thermal comfort models. 4-6 This increases the complexities in evaluating thermal comfort and hence even after significant years of research in this domain, predicting conditions to ensure comfort remains imprecise.Thermal comfort studies are necessary because they have a significant impact on occupant's health, well-being, and productivity. [7][8][9] Long-term exposure of subjects to indoor environments, which are not acceptable, causes discomfort leading to negative health impacts. 8 At the same time, in the era of energy deficit and prudent energy consumption, the need to study thermal comfort becomes even more crucial as it dictates the energy use in buildings. 10,11 Additionally, increasing dispensable income, lowering cost of energy services and the desire for thermal delight among the occupants has led to changes in comfort preferences, behavior, and usage patterns. AbstractThis paper presents a review on thermal comfort research that is informed by changes in occupant behavior, lifestyle, and income leading to rebound or pre-bound effect. It explores the current state of research in thermal comfort domain through a systematic review to identify the gaps and opportunities specifically focusing on energyintensive developing countries. This review argues that adaptive thermal comfort is a continuously evolving domain owing to dynamic modifications in occupant behavior occurring from changes in the cost of energy services and preference of comfort (rebound/pre-bound effect). A conceptual framework linking thermal comfort, rebound/pre-bound effect, and occupant behavior is forwarded through the introduction of an exogenous factor related to occupant well-being. The results ascertain that there is a need of localized thermal comfort model with an occupant-centric approach that can help in enhancing comfort and reducing energy consumption. K E Y W O R D Sadaptation, behavior, India, occupant, rebound, thermal comfort

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Thermal comfort and occupant adaptive behaviour in Japanese university buildings with free running and cooling mode offices during summer

Cited by 136 publications

References 29 publications

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

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

Thermal comfort in desert refugee camps: An interdisciplinary approach

Rethinking indoor thermal comfort in the era of rebound and pre‐bound effect for the developing world: A systematic review

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