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A review on different methodologies to study thermal comfort

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Abstract

Thermal comfort has been the area, which is explored extensively by the researchers to improve the performance of human being. This vast field has been studied by two different broad ways, namely experimental and theoretical. This paper comprehensively reviews these two methodologies in detail. The experimental study in this field has been categorized through two different ways, adaptive and rational. In former, the experiments are performed in the actual environment and in later, the experiments are performed in a climate simulator. This paper also reviews the theoretical study by discussing different mathematical models which are required in the study. Different ways of theoretical analysis, namely steady-state and transient state, have been reviewed along with solving methods. Different factors affecting thermal comfort have been summarized. At last, future scope related to this field has been discussed.

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Abbreviations

T :

Temperature (°C)

Q st :

Rate of heat stored inside the body (W/m2)

M :

Metabolic rate (W/m2)

W :

Work acquire (W/m2)

Q rad :

Radiation heat transfer (W/m2)

Q conv :

Convection heat transfer (W/m2)

C d :

Conduction heat exchange (W/m2)

Q evp :

Evaporation heat transfer (W/m2)

E res :

Evaporative heat loss through respiration (W/m2)

C res :

Dry heat exchange through respiration (W/m2)

m :

Mass of human body (kg)

H :

Height of the human body (m)

A Du :

Surface area of unclothe body (m2)

A rd :

Effective radiation area of human body (m2)

A man :

Surface area of man for Chinese people (m2)

A woman :

Surface area of woman for Chinese people (m2)

f cl :

Ratio of body area with cloth to without cloth

f eff :

Effective radiation area factor

ε :

Emission coefficient at the body surface

σ :

Stefan–Boltzmann’s constant

T cl :

Mean outer surface temperature of the clothed body (°C)

α :

Fraction of total body mass concentrated in skin compartment

CSIG:

Cold signals from the body

MRT:

Mean radiant temperature

T sk :

Skin temperature (°C)

S cr :

Stored energies in core

K :

Effective heat transfer coefficient between core and skin

Q res :

Respiration heat exchange (W/m2)

T b :

Average body temperature (°C)

Q e,max :

Maximum evaporative potential

Q e,dif :

Heat loss due to natural diffusion of water from the skin

\(w_{{{\text{rsw}}}}\) :

Skin wittedness due to regulatory sweating

h cv :

Convective heat transfer coefficient

v ar :

Resulting relative velocity of air (m/s)

v a :

Air velocity (m/s)

h rd :

Radiation heat transfer coefficient

P a :

Ambient water vapour pressure (kPa)

\(P_{{{\text{sk}},{\text{s}}}}\) :

Water vapour pressure at skin (kPa)

\(F_{{{\text{pcl}}}}\) :

Cloth permeability factor

I cl :

Insulating factor due to clothing (clo)

T op :

Operative temperature (°C)

T a :

Air temperature (°C)

T g :

Temperature measured by globe (°C)

WSIGb :

Warm signal from body

WSIGsk :

Warm signal from skin

D :

Globe diameter (m)

PMV:

Predicted mean vote

PPD:

Percent of people dissatisfied

TSV:

Thermal sensation votes

R 2 :

Coefficient of determination

L :

Thermal load

T mrt :

Mean radiation temperature (°C)

\(m_{{{\text{bl}}}}\) :

Blood flow per unit of skin area between core and skin

\(m_{{{\text{rsw}}}}\) :

Sweat production rate per unit skin area

MTSV:

Mean thermal sensation votes

Rcl :

Clothing thermal insulation (m2/K/W)

Tcr :

Core temperature (°C)

Ssk :

Stored energies in skin

Qcr_sk :

Rate of heat transmit from core to skin (W/m2)

\(C_{{{\text{p}},{\text{bl}}}}\) :

Specific heat of blood

LR:

Lewis ratio

CSIGsk :

Cold signals from the skin

Q e,rsw :

Heat loss due to evaporation of sweat secreted (W/m2)

\(i_{{{\text{cl}}}}\) :

Permeation efficiency of clothing

References

  • Amano T, Ishitobi M, Ogura Y, Inoue Y, Koga S, Nishiyasu T, Kondo N (2016) Effect of stride frequency on thermoregulatory responses during endurance running in distance runners. J Therm Biol 61:61–66

    Google Scholar 

  • Arens E, Zhang H, Huizenga C (2006) Partial-and whole-body thermal sensation and comfort—Part I: uniform environmental conditions. J Therm Biol 31:53–59

    Google Scholar 

  • Aritan AE (2019) Investigation of thermal comfort conditions in a travertine processing plant by using thermal comfort indices. Int J Environ Sci Technol 16:5285–5288

    Google Scholar 

  • Bhowmik A, Singh R, Repaka R, Mishra SC (2013) Conventional and newly developed bioheat transport models in vascularized tissues: a review. J Therm Biol 38:107–125

    Google Scholar 

  • Biglari H, Geravandi S, Mohammadi MJ, Porazmey EJ, Chuturkova RZ, Khaniabadi YO, Goudarzi G, Mahboubi M, Mohammadi B, Yari AR (2017) Relationship between air particulate matter and meteorological parameters. Fresenius Environ Bull 26:4047–4056

    CAS  Google Scholar 

  • Carlucci S, Pagliano L (2012) A review of indices for the long-term evaluation of the general thermal comfort conditions in buildings. Energy Build 53:194–205

    Google Scholar 

  • Charny CK (1992) Mathematical models of bioheat transfer. In: Cho YI (ed) Advances in heat transfer, vol 22. Elsevier, Amsterdam, pp 19–155

    Google Scholar 

  • Chaudhuri T, Zhai D, Soh YC, Li H, Xie L (2018) Thermal comfort prediction using normalized skin temperature in a uniform built environment. Energy Build 159:426–440

    Google Scholar 

  • Cheng P, Chen D, Wang J (2020) Effect of underwear on microclimate heat transfer in clothing based on computational fluid dynamics simulation. Text Res J 90:1262–1276

    CAS  Google Scholar 

  • Crosbie RJ, Hardy JD, Fessenden E (1961) Electrical analog simulation of temperature regulation in man. Ire Trans Biomed Electron 8:245–252

    Google Scholar 

  • Danca P, Vartires A, Dogeanu A (2016) An overview of current methods for thermal comfort assessment in vehicle cabin. Energy Procedia 85:162–169

    Google Scholar 

  • De Dear R, Brager GS (2001) The adaptive model of thermal comfort and energy conservation in the built environment. Int J Biometeorol 45:100–108

    Google Scholar 

  • Djongyang N, Tchinda R (2010) An investigation into thermal comfort and residential thermal environment in an intertropical sub-Saharan Africa region: field study report during the Harmattan season in Cameroon. Energy Convers Manag 51:1391–1397

    Google Scholar 

  • Djongyang N, Tchinda R, Njomo D (2010) Thermal comfort: a review paper. Renew Sustain Energy Rev 14:2626–2640

    Google Scholar 

  • Doherty T, Arens EA (1988) Evaluation of the physiological bases of thermal comfort models. ASHRAE Trans 94:1–16

    Google Scholar 

  • DuBois D, DuBois EF (1915) Fifth paper the measurement of the surface area of man. Arch Intern Med 15:868–881

    CAS  Google Scholar 

  • Enescu D (2017) A review of thermal comfort models and indicators for indoor environments. Renew Sustain Energy Rev 79:1353–1379

    Google Scholar 

  • Fanger PO (1970) Thermal comfort. Analysis and applications in environmental engineering

  • Fanger PO, Toftum J (2002) Extension of the PMV model to non-air-conditioned buildings in warm climates. Energy Build 34:533–536

    Google Scholar 

  • Fiala D, Lomas KJ, Stohrer M (1999) A computer model of human thermoregulation for a wide range of environmental conditions: the passive system. J Appl Physiol 87:1957–1972

    CAS  Google Scholar 

  • Foda E, Sirén K (2011) A new approach using the Pierce two-node model for different body parts. Int J Biometeorol 55:519–532

    Google Scholar 

  • Fu M, Weng W, Chen W, Luo N (2016) Review on modeling heat transfer and thermoregulatory responses in human body. J Therm Biol 62:189–200

    Google Scholar 

  • Gagge AP, Nishi Y (2010) Heat exchange between human skin surface and thermal environment. Compr Physiol, pp 69–92

  • Gagge AP, Stolwijk JAJ, Nishi Y (1972) An effective temperature scale based on a simple model of human physiological regulatiry response. Mem Fac Eng Hokkaido Univ 13:21–36

    Google Scholar 

  • Haddad S, Osmond P, King S (2017) Revisiting thermal comfort models in Iranian classrooms during the warm season. Build Res Inf 45:457–473

    Google Scholar 

  • Han J, Zhang G, Zhang Q, Zhang J, Liu J, Tian L, Zheng C, Hao J, Lin J, Liu Y (2007) Field study on occupants’ thermal comfort and residential thermal environment in a hot-humid climate of China. Build Environ 42:4043–4050

    Google Scholar 

  • Han J, Yang W, Zhou J, Zhang G, Zhang Q, Moschandreas DJ (2009) A comparative analysis of urban and rural residential thermal comfort under natural ventilation environment. Energy Build 41:139–145

    Google Scholar 

  • Handbook AF (2009) American society of heating, refrigerating and air-conditioning engineers. Inc, Atlanta

    Google Scholar 

  • Huizenga C, Zhang H, Arens E, Wang D (2004) Skin and core temperature response to partial- and whole-body heating and cooling. J Therm Biol 29:549–558. https://doi.org/10.1016/j.jtherbio.2004.08.024

    Article  Google Scholar 

  • Hwang C-L, Konz SA (1977) Engineering models of the human thermoregulatory system-a review. IEEE Trans Biomed Eng 4:309–325

    Google Scholar 

  • Jang TS, Iyoho AE (2009) Modeling individual variations in thermal stress response for humans in transient environments. ASHRAE Trans 115:552

    Google Scholar 

  • Javanmardi P, Morovati P, Farhadi M, Geravandi S, Khaniabadi YO, Angali KA, Taiwo AM, Sicard P, Goudarzi G, Valipour A (2018) Monitoring the impact of ambient ozone on human health using time series analysis and air quality model approaches. Fresenius Environ Bull 27:533–544

    CAS  Google Scholar 

  • Jindal A (2018) Thermal comfort study in naturally ventilated school classrooms in composite climate of India. Build Environs 142:34–46

    Google Scholar 

  • Johansson E, Thorsson S, Emmanuel R, Krüger E (2014) Instruments and methods in outdoor thermal comfort studies–the need for standardization. Urban Clim 10:346–366

    Google Scholar 

  • Jones BW (1992) Transient interaction between the human and the thermal environment. ASHRAE Trans 98:189–195

    Google Scholar 

  • Joshi SS, Lesser TJ, Olsen JW, O’Hara BF (2016) The importance of temperature and thermoregulation for optimal human sleep. Energy Build 131:153–157

    Google Scholar 

  • Katić K, Li R, Zeiler W (2016) Thermophysiological models and their applications: a review. Build Environ 106:286–300

    Google Scholar 

  • Kaynakli O, Unver U, Kilic M (2002) Simulation of thermal comfort heating and cooling periods in an automobile compartment. In: Proceedings of the automotive technologies congress. pp 24–26

  • Kaynakli O, Pulat E, Kilic M (2005) Thermal comfort during heating and cooling periods in an automobile. Heat Mass Transf 41:449–458

    Google Scholar 

  • Khaled A-R, Vafai K (2003) The role of porous media in modeling flow and heat transfer in biological tissues. Int J Heat Mass Transf 46:4989–5003

    Google Scholar 

  • Kilic M, Kaynakli O, Yamankaradeniz R (2006) Determination of required core temperature for thermal comfort with steady-state energy balance method. Int Commun Heat Mass Transf 33:199–210. https://doi.org/10.1016/j.icheatmasstransfer.2005.10.003

    Article  Google Scholar 

  • Kim J-H, Williams WJ, Coca A, Yokota M (2013) Application of thermoregulatory modeling to predict core and skin temperatures in firefighters. Int J Ind Ergon 43:115–120

    Google Scholar 

  • Kurmi RS, Gupta JK (2006) A textbook of refrigeration and air conditioning. Fist multicolour revised and updated edition. Eurasia Publishing House, New Delhi

    Google Scholar 

  • Kwok AG, Rajkovich NB (2010) Addressing climate change in comfort standards. Build Environ 45:18–22

    Google Scholar 

  • Lai D, Guo D, Hou Y, Lin C, Chen Q (2014) Studies of outdoor thermal comfort in northern China. Build Environ 77:110–118

    Google Scholar 

  • Lan L, Zhai ZJ, Lian Z (2018) A two-part model for evaluation of thermal neutrality for sleeping people. Build Environ 132:319–326

    Google Scholar 

  • Li B, Yang Y, Yao R, Liu H, Li Y (2017) A simplified thermoregulation model of the human body in warm conditions. Appl Ergon 59:387–400

    Google Scholar 

  • Lin Z, Deng S (2008) A study on the thermal comfort in sleeping environments in the subtropics—developing a thermal comfort model for sleeping environments. Build Environ 43:70–81

    Google Scholar 

  • Lin T-P, Hwang R-L, Huang K-T, Sun C-Y, Huang Y-C (2010) Passenger thermal perceptions, thermal comfort requirements, and adaptations in short-and long-haul vehicles. Int J Biometeorol 54:221–230

    Google Scholar 

  • Liu W, Lian Z, Deng Q, Liu Y (2011) Evaluation of calculation methods of mean skin temperature for use in thermal comfort study. Build Environ 46:478–488

    Google Scholar 

  • Lu S, Zhu N (2007) Experimental research on physiological index at the heat tolerance limits in China. Build Environ 42:4016–4021

    Google Scholar 

  • Luo M, Wang Z, Ke K, Cao B, Zhai Y, Zhou X (2018) Human metabolic rate and thermal comfort in buildings: the problem and challenge. Build Environ 131:44–52

    Google Scholar 

  • Macpherson RK (1962) The assessment of the thermal environment. A review. Occup Environ Med 19:151–164

    CAS  Google Scholar 

  • Makaremi N, Salleh E, Jaafar MZ, GhaffarianHoseini A (2012) Thermal comfort conditions of shaded outdoor spaces in hot and humid climate of Malaysia. Build Environ 48:7–14

    Google Scholar 

  • McIntyre DA, Griffiths ID (1975) The effects of added clothing on warmth and comfort in cool conditions. Ergonomics 18:205–211

    CAS  Google Scholar 

  • Melhado MA, Hensen JLM, Loomans M (2006) Literature review of staff thermal comfort and patient thermal risks in operating rooms. In: 8th International healthy buildings conference. pp 11–14

  • Pala U, Oz HR (2015) An investigation of thermal comfort inside a bus during heating period within a climatic chamber. Appl Ergon 48:164–176. https://doi.org/10.1016/j.apergo.2014.11.014

    Article  Google Scholar 

  • Prek M (2005) Thermodynamic analysis of human heat and mass transfer and their impact on thermal comfort. Int J Heat Mass Transf 48:731–739. https://doi.org/10.1016/j.ijheatmasstransfer.2004.09.006

    Article  Google Scholar 

  • Psikuta A, Allegrini J, Koelblen B, Bogdan A, Annaheim S, Martínez N, Derome D, Carmeliet J, Rossi RM (2017) Thermal manikins controlled by human thermoregulation models for energy efficiency and thermal comfort research—a review. Renew Sustain Energy Rev 78:1315–1330

    Google Scholar 

  • Ren Y, Yang L, Zheng W, Song X, He W (2015) Levels of adaptation in dry-hot and dry-cold climate zone and its implications in evaluation for indoor thermal environment. Procedia Eng 121:143–150

    Google Scholar 

  • Rupp RF, Vásquez NG, Lamberts R (2015) A review of human thermal comfort in the built environment. Energy Build 105:178–205

    Google Scholar 

  • Rupp RF, Kim J, de Dear R, Ghisi E (2018) Associations of occupant demographics, thermal history and obesity variables with their thermal comfort in air-conditioned and mixed-mode ventilation office buildings. Build Environ 135:1–9

    Google Scholar 

  • Salloum M, Ghaddar N, Ghali K (2005) A new transient bio-heat model of the human body. In: Heat Transfer Summer Conference. pp 927–937

  • Schellen L, Loomans M, Kingma BRM, De Wit MH, Frijns AJH, van Marken Lichtenbelt WD (2013a) The use of a thermophysiological model in the built environment to predict thermal sensation: coupling with the indoor environment and thermal sensation. Build Environ 59:10–22

    Google Scholar 

  • Schellen L, Loomans M, de Wit M, van Marken Lichtenbelt W (2013b) The influence of different cooling techniques and gender on thermal perception. Build Res Inf 41:330–341

    Google Scholar 

  • Singh MK, Kumar S, Ooka R, Rijal HB, Gupta G, Kumar A (2018) Status of thermal comfort in naturally ventilated classrooms during the summer season in the composite climate of India. Build Environ 128:287–304

    Google Scholar 

  • Skoog J (2006) Relative air humidity in hospital wards–user perception and technical consequences. Indoor Built Environ 15:93–97

    Google Scholar 

  • Stolwijk JAJ, Hardy JD (1966) Temperature regulation in man—a theoretical study, Pflüger’s Arch. Für Die Gesamte Physiol. Des Menschen Und Der Tiere 291:129–162

    CAS  Google Scholar 

  • Streblow R (2011) Thermal sensation and comfort model for inhomogeneous indoor environments. E. ON Energy Research Center, RWTH Aachen Univ.

  • Taleghani M, Tenpierik M, Kurvers S, Van Den Dobbelsteen A (2013) A review into thermal comfort in buildings. Renew Sustain Energy Rev 26:201–215. https://doi.org/10.1016/j.rser.2013.05.050

    Article  Google Scholar 

  • Tanabe S, Arens EA, Bauman F, Zhang H, Madsen T (1994) Evaluating thermal environments by using a thermal manikin with controlled skin surface temperature. pp 39–40

  • Thapa S, Bansal AK, Panda GK (2018) Thermal comfort in naturally ventilated office buildings in cold and cloudy climate of Darjeeling, India—an adaptive approach. Energy Build 160:44–60

    Google Scholar 

  • Thorsson S, Lindberg F, Eliasson I, Holmer B (2007) Different methods for estimating the mean radiant temperature in an outdoor urban setting. Int J Climatol A J R Meteorol Soc 27:1983–1993

    Google Scholar 

  • Vallez LJ, Plourde BD, Abraham JP (2016) A new computational thermal model of the whole human body: applications to patient warming blankets. Numer Heat Transf Part A Appl 69:227–241

    Google Scholar 

  • Villadiego K, Velay-Dabat MA (2014) Outdoor thermal comfort in a hot and humid climate of Colombia: a field study in Barranquilla. Build Environ 75:142–152

    Google Scholar 

  • Wang Z (2006) A field study of the thermal comfort in residential buildings in Harbin. Build Environ 41:1034–1039

    Google Scholar 

  • Wissler EH (1985) Mathematical simulation of human thermal behavior using whole body models. Heat Tranf Med Biol 1:325–373

    Google Scholar 

  • Wong NH, Khoo SS (2003) Thermal comfort in classrooms in the tropics. Energy Build 35:337–351

    Google Scholar 

  • Wyndham CH, Atkins AR (1968) A physiological scheme and mathematical model of temperature regulation in man. Pflügers Arch 303:14–30

    CAS  Google Scholar 

  • Yang Y, Li B, Liu H, Tan M, Yao R (2015) A study of adaptive thermal comfort in a well-controlled climate chamber. Appl Therm Eng 76:283–291

    Google Scholar 

  • Yang C, Yin T, Fu M (2016) Study on the allowable fluctuation ranges of human metabolic rate and thermal environment parameters under the condition of thermal comfort. Build Environ 103:155–164

    Google Scholar 

  • Yokota M, Berglund LG, Xu X (2014) Thermoregulatory modeling use and application in the military workforce. Appl Ergon 45:663–670

    Google Scholar 

  • Zhai ZJ (2020) Critical review and quantitative evaluation of indoor thermal comfort indices and models incorporating solar radiation effects. Energy Build 224:110204

    Google Scholar 

  • Zhang H (2003) Human thermal sensation and comfort in transient and non-uniform thermal environments

  • Zhang Z, Zhang Y, Jin L (2018) Thermal comfort in interior and semi-open spaces of rural folk houses in hot-humid areas. Build Environ 128:336–347

    Google Scholar 

  • Zhao S, Liu Y, Yao J, Gao S, Zhang S (1956) The estimation of body surface area of adult Chinese males. Acta Nutr Sin

  • Zhou X, Lian Z, Lan L (2013) An individualized human thermoregulation model for Chinese adults. Build Environ 70:257–265

    Google Scholar 

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Das, S., Subudhi, S. A review on different methodologies to study thermal comfort. Int. J. Environ. Sci. Technol. 19, 2155–2171 (2022). https://doi.org/10.1007/s13762-021-03210-8

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