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Models and Indicators to Assess Thermal Sensation Under Steady-State and Transient Conditions

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  • Diana Enescu

    (Department of Electronics, Telecommunications and Energy, Valahia University of Targoviste, Aleea Sinaia no. 13, 130004 Targoviste, Romania)

Abstract

The assessment of thermal sensation is the first stage of many studies aimed at addressing thermal comfort and at establishing the related criteria used in indoor and outdoor environments. The study of thermal sensation requires suitable modelling of the human body, taking into account the factors that affect the physiological and psychological reactions that occur under different environmental conditions. These aspects are becoming more and more relevant in the present context in which thermal sensation and thermal comfort are represented as objectives or constraints in a wider range of problems referring to the living environment. This paper first considers the models of the human body used in steady-state and transient conditions. Starting from the conceptual formulations of the heat balance equations, this paper follows the evolution occurred during the years to refine the models. This evolution is also marked by the availability of increasingly higher computational capability that enabled the researchers developing transient models with a growing level of detail and accuracy, and by the validation of the models through experimental studies that exploit advanced technologies. The paper then provides an overview of the indicators used to characterise the local and overall thermal sensation, indicating the relations with local and overall thermal comfort.

Suggested Citation

  • Diana Enescu, 2019. "Models and Indicators to Assess Thermal Sensation Under Steady-State and Transient Conditions," Energies, MDPI, vol. 12(5), pages 1-43, March.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:841-:d:210838
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    References listed on IDEAS

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    Cited by:

    1. Ali Youssef & Nicolás Caballero & Jean Marie Aerts, 2019. "Dynamic Model-Based Monitoring of Human Thermal Comfort for Real-Time and Adaptive Control Applications," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 19(4), pages 14526-14532, July.
    2. Herie Park, 2020. "Human Comfort-Based-Home Energy Management for Demand Response Participation," Energies, MDPI, vol. 13(10), pages 1-15, May.
    3. Grzegorz Majewski & Łukasz J. Orman & Marek Telejko & Norbert Radek & Jacek Pietraszek & Agata Dudek, 2020. "Assessment of Thermal Comfort in the Intelligent Buildings in View of Providing High Quality Indoor Environment," Energies, MDPI, vol. 13(8), pages 1-20, April.
    4. Yin Tang & Hang Yu & Zi Wang & Maohui Luo & Chaoen Li, 2020. "Validation of the Stolwijk and Tanabe Human Thermoregulation Models for Predicting Local Skin Temperatures of Older People under Thermal Transient Conditions," Energies, MDPI, vol. 13(24), pages 1-16, December.

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