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Comparison between Fanger's thermal comfort model and human exergy loss

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  • Prek, Matjaž
  • Butala, Vincenc

Abstract

Numerous metrics and indices have been proposed for the assessment of thermal perception and comfort. Commonly used indices based on the estimate of the heat flow between the human and its environment includes the well-known Fanger's method, also known as the PMV-PPD thermal comfort model. Recently this thermodynamic approach has been expanded with the application of the second law of thermodynamics. In this paper, an exergy-based analysis of the relation between the human and its environment is presented. Heat and mass flow rate due to convection, radiation, evaporation and respiration are calculated and expressed in terms of exergy loss. This value is used in the modified Fanger's thermal comfort model, where the heat balance equation is replaced by the exergy loss. The paper builds upon prior studies on determination of internal and external exergy losses by revised and newly defined formulas taking into account clothing and indoor conditions. The results quantitatively show that thermal energy load in the original Fanger's PMV model could be substituted by exergy loss and it corresponds to a certain level of subjective assessed thermal comfort level.

Suggested Citation

  • Prek, Matjaž & Butala, Vincenc, 2017. "Comparison between Fanger's thermal comfort model and human exergy loss," Energy, Elsevier, vol. 138(C), pages 228-237.
  • Handle: RePEc:eee:energy:v:138:y:2017:i:c:p:228-237
    DOI: 10.1016/j.energy.2017.07.045
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    References listed on IDEAS

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    1. Yang, Lei & Nagy, Zoltan & Goffin, Philippe & Schlueter, Arno, 2015. "Reinforcement learning for optimal control of low exergy buildings," Applied Energy, Elsevier, vol. 156(C), pages 577-586.
    2. Yildiz, Abdullah & Güngör, Ali, 2009. "Energy and exergy analyses of space heating in buildings," Applied Energy, Elsevier, vol. 86(10), pages 1939-1948, October.
    3. Keutenedjian Mady, Carlos Eduardo & Silva Ferreira, Maurício & Itizo Yanagihara, Jurandir & Hilário Nascimento Saldiva, Paulo & de Oliveira Junior, Silvio, 2012. "Modeling the exergy behavior of human body," Energy, Elsevier, vol. 45(1), pages 546-553.
    4. Prek, Matjaz, 2006. "Thermodynamical analysis of human thermal comfort," Energy, Elsevier, vol. 31(5), pages 732-743.
    5. Razmara, M. & Maasoumy, M. & Shahbakhti, M. & Robinett, R.D., 2015. "Optimal exergy control of building HVAC system," Applied Energy, Elsevier, vol. 156(C), pages 555-565.
    6. Mosaffa, A.H. & Garousi Farshi, L., 2016. "Exergoeconomic and environmental analyses of an air conditioning system using thermal energy storage," Applied Energy, Elsevier, vol. 162(C), pages 515-526.
    7. Tu, Rang & Liu, Xiao-Hua & Jiang, Yi, 2015. "Irreversible processes and performance improvement of desiccant wheel dehumidification and cooling systems using exergy," Applied Energy, Elsevier, vol. 145(C), pages 331-344.
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    Cited by:

    1. Deshko, Valerii & Buyak, Nadia & Bilous, Inna & Voloshchuk, Volodymyr, 2020. "Reference state and exergy based dynamics analysis of energy performance of the “heat source - human - building envelope” system," Energy, Elsevier, vol. 200(C).
    2. Mateja Dovjak & Masanori Shukuya & Aleš Krainer, 2018. "User-Centred Healing-Oriented Conditions in the Design of Hospital Environments," IJERPH, MDPI, vol. 15(10), pages 1-28, September.
    3. Ribeiro, Thatiana Jessica da Silva & Mady, Carlos Eduardo Keutenedjian, 2022. "Comparison among exergy analysis methods applied to a human body thermal model," Energy, Elsevier, vol. 239(PE).
    4. Guo, Hongshan & Luo, Yongqiang & Meggers, Forrest & Simonetti, Marco, 2019. "Human body exergy consumption models’ evaluation and their sensitivities towards different environmental conditions," Energy, Elsevier, vol. 183(C), pages 1075-1088.

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