Adaptive thermal comfort in the residential buildings of north east India—An effect of difference in elevation
elevation, predicted mean vote, thermal sensation vote Griffiths’ neutral temperature
Thermal comfort standards are required not only to ensure good indoor climatic condition, but also to optimize the energy used in a building for heating or cooling purposes. Generally, Fanger’s Predicted Mean Vote–Predicted Percentage Dissatisfied (PMV–PPD) model is used by designers and architects to estimate the comfort condition and hence the setpoint temperature inside a building. However, the recent field survey based studies on adaptive thermal comfort suggests that the above used PMV model frequently either underestimates or overestimates the thermal sensation due to the non-inclusion of the adaptive opportunities that a subject may have in maintaining comfortable condition. This leads to often an estimation of higher or lower setpoint temperature than that actually required for maintaining comfort, thereby consuming higher energy. The aim of the research is to study the effect of difference in elevation which is a major factor for temperature difference in hilly terrain, on the thermal comfort of residents. We conducted a field survey in 6 residential buildings at two different elevations in the Darjeeling Himalayan Region of north east India. A total of 1017 questionnaires regarding the indoor occupant thermal comfort were collected from 46 subjects during the monthly survey held in the year 2015. Variations in clothing insulation and other thermal comfort parameters were seen both with difference in elevation and with outdoor environmental conditions.
Tsinghua University Press
Samar Thapa, Ajay Kr. Bansal, Goutam Kr. P et al. Adaptive thermal comfort in the residential buildings of north east India—An effect of difference in elevation. Build Simul, 2018, 11(2): 245–267.