Investigation on adaptive thermal comfort considering the thermal history of local and migrant peoples living in sub-tropical climate of Nepal

Gautam, Basudev; Rijal, Hom Bahadur; Imagawa, Hikaru; Kayo, Genku; Shukuya, Masanori

doi:10.1016/j.buildenv.2020.107237

Cited by 26 publications

(3 citation statements)

References 46 publications

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“…The experiment in this work was conducted at Kaohsiung, Taiwan, and all subjects were healthy residents in Taiwan. According to Gautam et al [ 40 ], thermal history affects one’s thermal preference. Chen et al [ 41 ] discovered that people who lived in severe cold area feel comfortable with the thermal sensation ranging from “slightly cool” to “hot”.…”

Section: Discussionmentioning

confidence: 99%

A Physiological-Signal-Based Thermal Sensation Model for Indoor Environment Thermal Comfort Evaluation

Pao

Liang

et al. 2022

IJERPH

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Traditional heating, ventilation, and air conditioning (HVAC) control systems rely mostly on static models, such as Fanger’s predicted mean vote (PMV) to predict human thermal comfort in indoor environments. Such models consider environmental parameters, such as room temperature, humidity, etc., and indirect human factors, such as metabolic rate, clothing, etc., which do not necessarily reflect the actual human thermal comfort. Therefore, as electronic sensor devices have become widely used, we propose to develop a thermal sensation (TS) model that takes in humans’ physiological signals for consideration in addition to the environment parameters. We conduct climate chamber experiments to collect physiological signals and personal TS under different environments. The collected physiological signals are ECG, EEG, EMG, GSR, and body temperatures. As a preliminary study, we conducted experiments on young subjects under static behaviors by controlling the room temperature, fan speed, and humidity. The results show that our physiological-signal-based TS model performs much better than the PMV model, with average RMSEs 0.75 vs. 1.07 (lower is better) and R2 0.77 vs. 0.43 (higher is better), respectively, meaning that our model prediction has higher accuracy and better explainability. The experiments also ranked the importance of physiological signals (as EMG, body temperature, ECG, and EEG, in descending order) so they can be selectively adopted according to the feasibility of signal collection in different application scenarios. This study demonstrates the usefulness of physiological signals in TS prediction and motivates further thorough research on wider scenarios, such as ages, health condition, static/motion/sports behaviors, etc.

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Section: Discussionmentioning

confidence: 99%

A Physiological-Signal-Based Thermal Sensation Model for Indoor Environment Thermal Comfort Evaluation

Pao

Liang

et al. 2022

IJERPH

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“…As evidence, Rijal et al [33] and Rijal [34] investigated that traditional houses had high-temperature control in summer and winter due to local traditional material, opening size, clothing adjustment, and food culture. Besides, Gautam et al [35] investigated thermal acceptability between local and migrant peoples and identified that local people appear more tolerant and saving behavior than migrants due to physio-psychological expectation. This evidence was highly matched to the results of Shrestha et al [19].…”

Section: Discussion and Policy Considerations For Gender Participationmentioning

confidence: 99%

Role of gender participation in urban household energy technology for sustainability: a case of Kathmandu

et al. 2021

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Sustainability has endured as a global topic in terms of quality of life and energy-saving for an equalized system. Households represent one of the most energy-consuming sectors globally and are expected to increase tremendously in the future. Women have higher responsibility in the household energy use in most societies. However, their participation and impacts have been less prioritized in the sustainability concept regarding energy perspective. In contrast, most development studies reveal that women's participation in managing resources can positively impact women and policy management. However, women's active participation and influences on social, economic, and environmental contexts are mostly ignored in energy-related decisions, disregarding women's productive activities. Thus, this study evaluates the gender role in urban household energy in three contexts of economic, social, and environmental aspects of sustainability pillars. This study is exploratory research based on questionnaire survey, interviews, observation, and air quality tests to apprehend appropriate data. The study revealed that the lower-income group uses a larger share of their monthly income for household energy with unclean cooking fuel. It has an impact on low-willingness to participate in new energy technology purchases. The use of electrical appliances and income has a moderate correlation (r = .48). However, Kathmandu urban households are eager to use electric cooking, but urban women have insufficient knowledge, information, and less affordability for new technology. The city's sustainability level is still low (47 scores) from a gender perspective, and it suggests the city needs a long way on the sustainability route. The study concluded that innovative technical interventions and women's financial power are essential, including the subsidy policy to reduce inequality between low and high energy household share variation and elevate gender participation. The gender mainstreaming approach in energy policy can increase women's participation in energy technology to get a clean environment and reduce the nation's financial burden of importing fuel.

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“…The comfortable range is defined between -0.5 and 0.5 [1]. However, the PMV/PPD model does not consider the psychological and behavioural adjustments which also affect the thermal sensation and comfort [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Relationship between Tension Level and Thermal Sensation. A Case Study of University Study Hall

2023

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The adaptive thermal comfort model steps forth against Fanger's Predicted Mean Vote/ Percentage of Dissatisfied model because of considering the psychological and behavioural adjustments in addition to environmental and personal parameters in mixed-mode and non-air-conditioned buildings. Among behavioural and psychological adjustments, human behaviour is more investigated than psychological adjustments in aspects of thermal sensation and comfort in the studies. To meet the deficit in the literature on how psychological adjustments affect thermal sensation, an experimental investigation was conducted to explore the effects of tension level on the Thermal Sensation Votes (TSV) of the students. Profile of Mood States (POMS) questionnaire was used to determine the tension level of the students. Experiments were conducted in a university study hall which is in the warm-summer Mediterranean climate (Csb) zone according to Köppen-Geiger Climate Classification. A total of 1159 students participated in the study, and the relation between the tension level and TSVs of the students were investigated for each gender. To test the associations between the nine quantitative subscales of tension level and the TSV, Pearson’s correlation coefficient was computed. Based on results, “anxious” were considerable for the TSVs of both genders where the p-values were <0,001 for male and 0,044 for female students. In addition, while “shaky” (p=0,001) and “uneasy” (p<0,001) were found significant for the TSVs of male, “nervous” (p=0,013) were discovered noteworthy for the TSVs of the female students.

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Investigation on adaptive thermal comfort considering the thermal history of local and migrant peoples living in sub-tropical climate of Nepal

Cited by 26 publications

References 46 publications

A Physiological-Signal-Based Thermal Sensation Model for Indoor Environment Thermal Comfort Evaluation

A Physiological-Signal-Based Thermal Sensation Model for Indoor Environment Thermal Comfort Evaluation

Role of gender participation in urban household energy technology for sustainability: a case of Kathmandu

Investigation of the Relationship between Tension Level and Thermal Sensation. A Case Study of University Study Hall

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