AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Building Simulation Article
Article Link
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

Adaptive thermal comfort in the residential buildings of north east India—An effect of difference in elevation

Samar Thapa1( ), Ajay Kr. Bansal1, Goutam Kr. Panda2
Department of Electrical Engineering, Poornima University, Jaipur, India
Jalpaiguri Govt. Engineering College, Jalpaiguri W.B., India
Show Author Information

Abstract

Thermal comfort standards are required not only to ensure good indoorclimatic 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.

Keywords

elevationpredicted mean votethermal sensation vote Griffiths’ neutral temperature

References

 
ASHRAE (2013). ANSI/ASHRAE Standard 55. Thermal Environmental Conditions for Human Occupancy. Atlanta, GA, USA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
 
S Attia, S Carlucci (2015). Impact of different thermal comfort models on zero energy residential buildings in hot climate. Energy and Buildings, 102: 117–128.
Google Scholar
 
E Barbadilla, J Guadix, P Aparicio, P Cortés (2017). Thermal comfort field study based on adaptive comfort theory in non-residential buildings. In: M Amorim, C Ferreira, M Vieira Junior, C Prado (eds), Engineering Systems and Networks. Cham, Switzerland: Springer, pp. 327–334.
 
BEE (2007). Energy Conservation Building Code. Bureau of Energy Efficiency.
 
BIS (2005). National Building Code. Bureau of Indian Standards.
 
GS Brager, G Paliaga, R de Dear (2004). Operable windows, personal control and occupant comfort. ASHRAE Transactions, 110(2): 17–35.
Google Scholar
 
K Cena, N Davey, T Erlandson (2003). Thermal comfort and clothing insulation of resting tent occupants at high altitude. Applied Egronomics, 34: 543–550.
Google Scholar
 
KS Cetin, L Manuel, A Novoselac (2016). Effect of technology-enabled time-of-use energy pricing on thermal comfort and energy use in mechanically-conditioned residential buildings in cooling dominated climates. Building and Environment, 96: 118–130.
Google Scholar
 
SA Damiati, SA Zaki, HB Rijal, S Wonorahardjo (2016). Field study on adaptive thermal comfort in office buildings in Malaysia, Indonesia, Singapore and Japan during hot and humid season. Building and Environment, 109: 208–223.
Google Scholar
 
RJ de Dear, GS Brager (2002). Thermal comfort in naturally ventilated buildings: Revisions to ASHRAE Standard 55. Energy and Buildings, 34: 549-561.
Google Scholar
 
S Dhaka, J Mathur, G Brager, A Honnekeri (2015). Assessment of thermal environmental conditions and quantification of thermal adaptation in naturally ventilated buildings in composite climate of India. Building and Environment, 86: 17–28.
Google Scholar
 
PO Fanger (1972). Thermal Comfort, Analysis and Applications in Environmental Engineering. New York: McGraw-Hill.
 
RJ Fuller, A Zahnd, S Thakuri (2009). Improving comfort levels in a traditional high altitude Nepali house. Building and Environment, 44: 479–489.
Google Scholar
 
K Hanada, K Mihira, Y Sato (1983). Studies on the thermal resistance of men’s underwear. Journal of Japan Research Association for Textile End-Users, 24: 363–369.
Google Scholar
 
MA Humphreys (1970). A simple theoretical derivation of thermal comfort conditions. Journal of the Institute of Heating and Ventilating Engineers, 33: 95–98.
Google Scholar
 
MA Humphreys, JF Nicol (2002). The validity of ISO-PMV for predicting comfort votes in every-day thermal environments. Energy and Buildings, 34: 667–684.
Google Scholar
 
M Indraganti (2010). Using the adaptive model of thermal comfort for obtaining indoor neutral temperature: Findings from a field study in Hyderabad, India. Building and Environment, 45: 519–536.
Google Scholar
 
M Indraganti, R Ooka, HB Rijal, GS Brager (2014a). Adaptive model of thermal comfort for offices in hot and humid climates of India. Building and Environment, 74: 39–53.
Google Scholar
 
M Indraganti, R Ooka, HB Rijal (2014b). Thermal comfort in offices in India: Behavioral adaptation and the effect of age and gender. Energy and Buildings, 103: 284–295.
Google Scholar
 
QJ Kwong, NM Adam, BB Sahari (2013). Thermal comfort assessment and potential for energy efficiency enhancement in modern tropical buildings: A review. Energy and Buildings, 68: 547–557.
Google Scholar
 
M Luo, B Cao, J Damiens, B Lin, Y Zhu (2014). Evaluating thermal comfort in mixed-mode buildings: A field study in subtropical climate. Building and Environment, 88: 46–54.
Google Scholar
 
S Manu, Y Shukla, R Rawal, LE Thomas, R de Dear (2016). Field studies of thermal comfort across multiple climate zones for the subcontinent: India Model for Adaptive Comfort (IMAC). Building and Environment, 98: 55–70.
Google Scholar
 
KJ McCartney, JF Nicol (2002). Developing an adaptive control algorithm for Europe. Energy and Buildings, 34: 623–635.
Google Scholar
 
AK Mishra, M Ramgopal (2014). Thermal comfort in undergraduate laboratories—A field study in Kharagpur, India. Building and Environment, 71: 223–232.
Google Scholar
 
F Nicol (2004). Adaptive thermal comfort standards in the hot-humid tropics. Energy and Buildings, 36: 628–637.
Google Scholar
 
JF Nicol, MA Humphreys (2002). Adaptive thermal comfort and sustainable standards for buildings. Energy and Buildings, 34: 563–572.
Google Scholar
 
F Nicol, M Humphreys (2010). Derivation of the adaptive equations for thermal comfort in free-running buildings in European standard EN15251. Building and Environment, 45: 11–17.
Google Scholar
 
HB Rijal (2013). Field investigation of comfort temperature and adaptive model in Japanese houses. In: Proceedings of PLEA2013, the 29th International Conference on Sustainable Architecture for a Renewable Future, Munich, Germany.
 
HB Rijal, H Yoshida, N Umemiya (2010). Seasonal and regional differences in neutral temperatures in Nepalese traditional vernacular houses. Building and Environment, 45: 2743–2753.
Google Scholar
 
C Shen, N Yu (2010). Study of thermal comfort in free-running buildings based on Adaptive Predicted Mean Vote. In: Proceedings of 2010 International Conference on E-Product E-Service and E-Entertainment, Henan, China, pp. 99–103.
 
MK Singh, S Mahapatra, SK Atreya (2011). Adaptive thermal comfort model for different climatic zones of North-East India. Applied Energy, 88: 2420–2428.
Google Scholar
 
S Thapa (2011). Comfort zone calculation & climatic condition for a typical building located in the Darjeeling Hills. Salesian Journal of Humanities and Social Science: Mountain Economy Resources Sustainability Governance, II(2): 123–133.
Google Scholar
 
S Thapa, GK Panda (2015). Energy conservation in buildings—A review. International Journal of Energy Engineering, 103: 284–295.
Google Scholar
 
S Thapa, AK Bansal, GK Panda (2016). Adaptive thermal comfort in the two college campuses of Salesian College, Darjeeling—Effect of difference in altitude. Building and Environment, 109: 25–41.
Google Scholar
 
K Watanabe, HB Rijal, T Nakaya (2013). Investigation of clothing insulation and thermal comfort in Japanese houses. In: Proceedings of PLEA2013, the 29th International Conference on Sustainable Architecture for a Renewable Future, Munich, Germany.
 
L Yang, H Yan, Y Xu, JC Lam (2013). Residential thermal environment in cold climates at high altitudes and building energy use implications. Energy and Buildings, 62: 139–145.
Google Scholar
 
L Yang, H Yan, JC Lam (2014). Thermal comfort and building energy consumption implications—A review. Applied Energy, 115: 164–173.
Google Scholar
Building Simulation
Volume 11 Issue 2,
April 2018
Pages 245-267
DOI: 10.1007/s12273-017-0404-x
Cite this article:
Thapa S, Bansal AK, Panda GK. Adaptive thermal comfort in the residential buildings of north east India—An effect of difference in elevation. Building Simulation, 2018, 11(2): 245-267. https://doi.org/10.1007/s12273-017-0404-x

669

Views

29

Crossref

N/A

Web of Science

35

Scopus

0

CSCD

Altmetrics
Received: 03 March 2017
Revised: 14 July 2017
Accepted: 19 July 2017
Published: 05 September 2017
© Tsinghua University Press and Springer-Verlag GmbH Germany 2017
Return