A study on the thermal comfort and clothing insulation characteristics of preschool children in Korea

Nam, In-Sick; Yang, Jinho; Lee, Dohee; Park, Eun-Jung; Sohn, Jong Ryeul

doi:10.1016/j.buildenv.2015.05.041

Cited by 85 publications

(32 citation statements)

References 26 publications

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“…Although used in several studies [32,42,46], the standard thermal comfort questionnaire is not adequate for children and, therefore, specific questionnaires elaborated together with educators should be prepared in these cases. This issue was discussed in detail M a n u s c r i p t by Fabbri [43,47].…”

Section: Equipment and Questionnairementioning

confidence: 99%

“…A clear correspondence between the two approaches could not be found. Nam et al [32] examined thermal comfort in kindergartens for children aged 4-6 years (preschool children) and verified that the amount of clothing was changed the most by operative temperatures, with an average value of 0.29 clo in summer and 0.81 clo in winter. Moreover, children's comfortable temperatures were identified as being lower than those of adults by approximately 0.5 °C in the summer and by approximately 3.3 °C in the winter.…”

Section: Introductionmentioning

confidence: 98%

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Thermal comfort models and pupils’ perception in free-running school buildings of a mild climate country

Almeida

Ramos

Freitas

2016

Energy and Buildings

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Section: Equipment and Questionnairementioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Thermal comfort models and pupils’ perception in free-running school buildings of a mild climate country

Almeida

Ramos

Freitas

2016

Energy and Buildings

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“…Employing a single heating and cooling set point temperature as used in this study and also is the most frequently used method, may poses discomfort condition, while monthly set point temperatures are more preferred and recommended [69]. In addition to the set point temperatures and plant capacity, the level of clothing for building occupants and their external work have a drastic effect on the level of thermal comfort and PMV values [70]. For instance, in regions with defined adaptive comfort behaviors [71], the level of clothing considers less than that of the regions with no adaptive patterns [72].…”

Section: Discussionmentioning

confidence: 99%

A Model for External Walls Selection in Hot and Humid Climates

Boostani¹,

Hançer²

2018

Sustainability

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Literature review shows that, to date, no local based method has been developed for evaluation of optimal wall constructions in a hot and humid climate from architects’ point of view. Hence, this study aims at developing a multi factor optimization model (MFOM) for comparative selection of opaque wall construction in a hot and humid climate based on four main evaluation criterion namely energy efficiency, thermal comfort, moisture control, and cost efficiency. In order to indicate the application of the MFOM, a case study methodology was employed in Kish Island, Iran, which is characterized by a hot and humid climate. Both qualitative and quantitative research methods were employed in the research process including literature and field survey, computer simulation, thermal, moisture and economic analysis finalized with a simple multi attribute rating technique (SMART) grading the outputs for final assessment. According to the results, it can be deducted that the application of the MFOM has the potential to save cost and energy, improve the thermal quality of the indoor environment while predicting the possible construction hazards posed by condensation in hot and humid climates.

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“…Behavioral adjustment includes three categories [15]: personal adjustment; technological or environmental adjustment, and cultural adjustments. In un-airconditioned building environments, clothing level adjustment (Clo) is a basic behavior in occupants' daily life [15,22,40]. Hence, the clothing was selected in our study to represent the behavioral adjustment.…”

Section: Variables Of Thermal Adaptationsmentioning

confidence: 99%

Exploring the “black box” of thermal adaptation using information entropy

Jing

Yao

2018

Building and Environment

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Thermal adaptation has been interpreted well by behavioral, physiological, and psychological factors, but the mechanism and interaction between the three factors remain in the "black box". This paper aims to apply the theory of general system and information entropy to investigate the quantitative relationships of the three thermal adaptation processes. Based on the database from the field survey and laboratory experiments conducted in the hot summer and cold winter climate zone of China, three typical adaptive indices: clothing insulation (Clo), thermal sensation votes (TSV) and sensory nerve conduction velocity (SCV) were selected to calculate Clo entropy, TSV entropy, SCV entropy and total entropy. The regression models were developed between these entropies and the indoor air temperature to quantify the weights of the three adaptive categories. The models were used to compare the differences between China and Pakistan as well as between adaptive approaches and climate chamber experiments. The thermal comfort and acceptable temperature ranges were obtained using the entropy models. Our findings propose a new perspective using entropy to quantify the behaviorally, physiologically, and psychologically adaptive approaches, which contribute to a better understanding of opening the "black box" of thermal adaptation.

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A study on the thermal comfort and clothing insulation characteristics of preschool children in Korea

Cited by 85 publications

References 26 publications

Thermal comfort models and pupils’ perception in free-running school buildings of a mild climate country

Thermal comfort models and pupils’ perception in free-running school buildings of a mild climate country

A Model for External Walls Selection in Hot and Humid Climates

Exploring the “black box” of thermal adaptation using information entropy

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