IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i5p841-d210838.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/5/841/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/5/841/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sung Hyup Hong & Jong Man Lee & Jin Woo Moon & Kwang Ho Lee, 2018. "Thermal Comfort, Energy and Cost Impacts of PMV Control Considering Individual Metabolic Rate Variations in Residential Building," Energies, MDPI, vol. 11(7), pages 1-21, July.
    2. Kwang Ho Lee & Stefano Schiavon, 2014. "Influence of Three Dynamic Predictive Clothing Insulation Models on Building Energy Use, HVAC Sizing and Thermal Comfort," Energies, MDPI, vol. 7(4), pages 1-18, March.
    3. Enescu, Diana, 2017. "A review of thermal comfort models and indicators for indoor environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1353-1379.
    4. Psikuta, Agnes & Allegrini, Jonas & Koelblen, Barbara & Bogdan, Anna & Annaheim, Simon & Martínez, Natividad & Derome, Dominique & Carmeliet, Jan & Rossi, René M., 2017. "Thermal manikins controlled by human thermoregulation models for energy efficiency and thermal comfort research – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1315-1330.
    5. Saboora Khatoon & Man-Hoe Kim, 2017. "Human Thermal Comfort and Heat Removal Efficiency for Ventilation Variants in Passenger Cars," Energies, MDPI, vol. 10(11), pages 1-13, October.
    6. Prek, Matjaz, 2006. "Thermodynamical analysis of human thermal comfort," Energy, Elsevier, vol. 31(5), pages 732-743.
    7. Khodakarami, Jamal & Nasrollahi, Nazanin, 2012. "Thermal comfort in hospitals – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4071-4077.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michał Piasecki & Małgorzata Fedorczak-Cisak & Marcin Furtak & Jacek Biskupski, 2019. "Experimental Confirmation of the Reliability of Fanger’s Thermal Comfort Model—Case Study of a Near-Zero Energy Building (NZEB) Office Building," Sustainability, MDPI, vol. 11(9), pages 1-25, April.
    2. Georgios Martinopoulos & Vasiliki Kikidou & Dimitrios Bozis, 2018. "Energy Assessment of Building Physics Principles in Secondary Education Buildings," Energies, MDPI, vol. 11(11), pages 1-15, October.
    3. Taleghani, Mohammad & Tenpierik, Martin & Kurvers, Stanley & van den Dobbelsteen, Andy, 2013. "A review into thermal comfort in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 201-215.
    4. Marek Borowski & Klaudia Zwolińska & Marcin Czerwiński, 2022. "An Experimental Study of Thermal Comfort and Indoor Air Quality—A Case Study of a Hotel Building," Energies, MDPI, vol. 15(6), pages 1-18, March.
    5. Piotr Michalak, 2023. "Simulation and Experimental Study on the Use of Ventilation Air for Space Heating of a Room in a Low-Energy Building," Energies, MDPI, vol. 16(8), pages 1-17, April.
    6. Enescu, Diana, 2017. "A review of thermal comfort models and indicators for indoor environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1353-1379.
    7. Ucar, Aynur, 2010. "Thermoeconomic analysis method for optimization of insulation thickness for the four different climatic regions of Turkey," Energy, Elsevier, vol. 35(4), pages 1854-1864.
    8. Henriques, Izabela Batista & Mady, Carlos Eduardo Keutenedjian & de Oliveira Junior, Silvio, 2016. "Exergy model of the human heart," Energy, Elsevier, vol. 117(P2), pages 612-619.
    9. López-Pérez, Luis Adrián & Flores-Prieto, José Jassón, 2023. "Adaptive thermal comfort approach to save energy in tropical climate educational building by artificial intelligence," Energy, Elsevier, vol. 263(PA).
    10. Song, Xia & Zhang, Lun & Zhang, Xiaosong, 2019. "Analysis of the temperatures of heating and cooling sources and the air states in liquid desiccant dehumidification systems regenerated by return air," Energy, Elsevier, vol. 168(C), pages 651-661.
    11. Daoru Liu & Zhigang Ren & Shen Wei & Zhe Song & Peipeng Li & Xin Chen, 2019. "Investigations on the Winter Thermal Environment of Bedrooms in Zhongxiang: A Case Study in Rural Areas in Hot Summer and Cold Winter Region of China," Sustainability, MDPI, vol. 11(17), pages 1-25, August.
    12. Guo, Siyue & Yan, Da & Hong, Tianzhen & Xiao, Chan & Cui, Ying, 2019. "A novel approach for selecting typical hot-year (THY) weather data," Applied Energy, Elsevier, vol. 242(C), pages 1634-1648.
    13. 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.
    14. Capozzoli, Alfonso & Piscitelli, Marco Savino & Neri, Francesco & Grassi, Daniele & Serale, Gianluca, 2016. "A novel methodology for energy performance benchmarking of buildings by means of Linear Mixed Effect Model: The case of space and DHW heating of out-patient Healthcare Centres," Applied Energy, Elsevier, vol. 171(C), pages 592-607.
    15. Noor Muhammad Abd Rahman & Lim Chin Haw & Ahmad Fazlizan, 2021. "A Literature Review of Naturally Ventilated Public Hospital Wards in Tropical Climate Countries for Thermal Comfort and Energy Saving Improvements," Energies, MDPI, vol. 14(2), pages 1-22, January.
    16. Nina Szczepanik-Scislo & Jacek Schnotale, 2020. "An Air Terminal Device with a Changing Geometry to Improve Indoor Air Quality for VAV Ventilation Systems," Energies, MDPI, vol. 13(18), pages 1-20, September.
    17. Clara Ceccolini & Roozbeh Sangi, 2022. "Benchmarking Approaches for Assessing the Performance of Building Control Strategies: A Review," Energies, MDPI, vol. 15(4), pages 1-30, February.
    18. Chuan-Hsuan Lin & Min-Yang Chen & Yaw-Shyan Tsay, 2021. "Simulation Methodology Based on Wind and Thermal Performance for Early Building Optimization Design in Taiwan," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    19. Henriques, Izabela Batista & Mady, Carlos Eduardo Keutenedjian & de Oliveira Junior, Silvio, 2017. "Assessment of thermal comfort conditions during physical exercise by means of exergy analysis," Energy, Elsevier, vol. 128(C), pages 609-617.
    20. Homod, Raad Z., 2014. "Assessment regarding energy saving and decoupling for different AHU (air handling unit) and control strategies in the hot-humid climatic region of Iraq," Energy, Elsevier, vol. 74(C), pages 762-774.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:841-:d:210838. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.