Characteristics of Thermal Comfort Conditions in Cold Rural Areas of China: A Case study of Stone Dwellings in a Tibetan Village

This paper focuses on thermal environmental conditions in the stone dwellings of a Tibetan village in Danba County, Sichuan, China, in winter. During the study, field measurements and subjective survey studies were collected, simultaneously, to provide a comprehensive understanding of the thermal comfort conditions that were experienced by residents in cold rural areas of Sichuan. Subjective surveys involved questions about thermal comfort perceptions and acceptability in cold conditions. The status of thermal comfort and characteristics of indoor environmental qualities were investigated in the study. The majority of survey participants (47% and 74%) voted as “slightly cool” for temperature, and “slightly dry” for humidity in the studied typical winter days, respectively. The available adaptive opportunities for the residents were investigated through the survey studies. Adjusting clothing, drinking hot beverages, blocking air infiltration through windows, and changing activities were the most common adaptive measures. An adaptive coefficient ( λ ) was determined based on adaptive predicted mean votes (aPMV) models using least square methods to assess the different adaptation measures in the region. Findings of this study provided a valuable reference for thermal comfort adaptations in cold climates, where limited adaptive opportunities were available due to the low standard of living.

[1]  Qinglin Meng,et al.  Thermal comfort in naturally ventilated buildings in hot-humid area of China , 2010 .

[2]  Yi Lu,et al.  Quality of Life (QoL) Survey in Hong Kong: Understanding the Importance of Housing Environment and Needs of Residents from Different Housing Sectors , 2018, International journal of environmental research and public health.

[3]  Zhonghua Gou,et al.  Subjective and Objective Evaluation of the Thermal Environment in a Three-Star Green Office Building in China , 2012 .

[4]  Zhonghua Gou,et al.  Indoor Environmental Satisfaction in Two LEED Offices and its Implications in Green Interior Design , 2012 .

[5]  Michael A. Humphreys,et al.  ADAPTIVE THERMAL COMFORT AND SUSTAINABLE THERMAL STANDARDS FOR BUILDINGS , 2002 .

[6]  R. Yao,et al.  A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV) , 2009 .

[7]  Wei Xu,et al.  An adaptive Predicted Mean Vote (aPMV) model in office , 2010, 2010 International Conference on Mechanic Automation and Control Engineering.

[8]  Elvira Ianniello,et al.  PMV–PPD and acceptability in naturally ventilated schools , 2013 .

[9]  Stephen Siu Yu Lau,et al.  Cost-effectiveness of active and passive design strategies for existing building retrofits in tropical climate: Case study of a zero energy building , 2018 .

[10]  Dušan Katunský,et al.  Analysis of an Indoor Environment in Year-Round Operation , 2013 .

[11]  Michael A. Humphreys,et al.  Field Studies of Indoor Thermal Comfort and the Progress of the Adaptive Approach , 2007 .

[12]  Gail Brager,et al.  Developing an adaptive model of thermal comfort and preference , 1998 .

[13]  Ardeshir Mahdavi,et al.  Implications of indoor climate control for comfort, energy and environment , 1996 .

[14]  Zhonghua Gou,et al.  Are green buildings more satisfactory? A review of global evidence , 2018 .

[15]  Yingxin Zhu,et al.  Too cold or too warm? A winter thermal comfort study in different climate zones in China , 2016 .

[16]  Liwei Tian,et al.  Field study on occupants’ thermal comfort and residential thermal environment in a hot-humid climate of China , 2007 .

[17]  Francesca Romana d’Ambrosio Alfano,et al.  Notes on the Calculation of the PMV Index by Means of Apps , 2016 .

[18]  Manuel Gameiro da Silva,et al.  Energy consumption in schools – A review paper , 2014 .

[19]  Gail Brager,et al.  Thermal comfort in naturally ventilated buildings: revisions to ASHRAE Standard 55 , 2002 .

[20]  B. W. Jones,et al.  A comprehensive data base for estimatng clothing insulation , 1985 .

[21]  Qinglin Meng,et al.  Thermal comfort in buildings with split air-conditioners in hot-humid area of China , 2013 .

[22]  Kuntao Yang,et al.  Theoretical model of infrared radiation of dressed human body indoors , 2008, Applied Optics and Photonics China.

[23]  R. Yao,et al.  Indoor thermal environment and thermal comfort , 2012 .

[24]  Baizhan Li,et al.  A study of thermal comfort in residential buildings on the Tibetan Plateau, China , 2017 .

[25]  Bjarne W. Olesen,et al.  Povl Ole Fanger’s impact ten years later , 2017 .

[26]  Jeong Tai Kim,et al.  Development of the adaptive PMV model for improving prediction performances , 2015 .

[27]  M. Fountain,et al.  A thermal sensation prediction software tool for use by the profession , 1997 .

[28]  Zhonghua Gou,et al.  Energy use characteristics and benchmarking for higher education buildings , 2018 .

[29]  Liu Yang,et al.  Residential thermal environment in cold climates at high altitudes and building energy use implications , 2013 .

[30]  P. O. Fanger,et al.  Thermal comfort: analysis and applications in environmental engineering, , 1972 .

[31]  Zhonghua Gou,et al.  Cost-Benefit Prediction of Green Buildings: SWOT Analysis of Research Methods and Recent Applications , 2017 .

[32]  Mohammed Arif,et al.  Impact of indoor environmental quality on occupant well-being and comfort: A review of the literature , 2016 .

[33]  P. Fanger,et al.  Extension of the PMV model to non-air-conditioned buildings in warm climates , 2002 .

[34]  F. Alfano,et al.  The role of measurement accuracy on the thermal environment assessment by means of PMV index , 2011 .

[35]  Q. Ouyang,et al.  Field study of human thermal comfort and thermal adaptability during the summer and winter in Beijing , 2011 .

[36]  R. Dear,et al.  Thermal adaptation in the built environment: a literature review , 1998 .

[37]  R. Dedear Developing an adaptive model of thermal comfort and preference , 1998 .

[38]  Y Zhu,et al.  Progress in thermal comfort research over the last twenty years. , 2013, Indoor air.