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Application of a new 13-value thermal comfort scale to moderate environments

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  • Buratti, C.
  • Palladino, D.
  • Ricciardi, P.

Abstract

A new 13-value thermal comfort scale is adopted in the present study, in order to evaluate the thermal comfort sensation within non-residential buildings with the adaptive approach.

Suggested Citation

  • Buratti, C. & Palladino, D. & Ricciardi, P., 2016. "Application of a new 13-value thermal comfort scale to moderate environments," Applied Energy, Elsevier, vol. 180(C), pages 859-866.
    • Handle: RePEc:eee:appene:v:180:y:2016:i:c:p:859-866
    DOI: 10.1016/j.apenergy.2016.08.043
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    References listed on IDEAS

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    1. Nematchoua, Modeste Kameni & Tchinda, René & Ricciardi, Paola & Djongyang, Noël, 2014. "A field study on thermal comfort in naturally-ventilated buildings located in the equatorial climatic region of Cameroon," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 381-393.
    2. Singh, Manoj Kumar & Mahapatra, Sadhan & Atreya, S.K., 2011. "Adaptive thermal comfort model for different climatic zones of North-East India," Applied Energy, Elsevier, vol. 88(7), pages 2420-2428, July.
    3. Cinzia Buratti & Elisa Lascaro & Domenico Palladino & Marco Vergoni, 2014. "Building Behavior Simulation by Means of Artificial Neural Network in Summer Conditions," Sustainability, MDPI, vol. 6(8), pages 1-15, August.
    4. 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.
    5. Stazi, Francesca & Tomassoni, Elisa & Bonfigli, Cecilia & Di Perna, Costanzo, 2014. "Energy, comfort and environmental assessment of different building envelope techniques in a Mediterranean climate with a hot dry summer," Applied Energy, Elsevier, vol. 134(C), pages 176-196.
    6. Buratti, C. & Ricciardi, P. & Vergoni, M., 2013. "HVAC systems testing and check: A simplified model to predict thermal comfort conditions in moderate environments," Applied Energy, Elsevier, vol. 104(C), pages 117-127.
    7. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
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    Cited by:

    1. Wonyoung Yang & Hyeun Jun Moon & Jin Yong Jeon, 2019. "Comparison of Response Scales as Measures of Indoor Environmental Perception in Combined Thermal and Acoustic Conditions," Sustainability, MDPI, vol. 11(14), pages 1-26, July.
    2. Anatolijs Borodinecs & Jurgis Zemitis & Arturs Palcikovskis, 2022. "HVAC System Control Solutions Based on Modern IT Technologies: A Review Article," Energies, MDPI, vol. 15(18), pages 1-22, September.
    3. Domenico Palladino & Iole Nardi & Cinzia Buratti, 2020. "Artificial Neural Network for the Thermal Comfort Index Prediction: Development of a New Simplified Algorithm," Energies, MDPI, vol. 13(17), pages 1-27, September.
    4. Łukasz J. Orman & Grzegorz Majewski & Norbert Radek & Jacek Pietraszek, 2022. "Analysis of Thermal Comfort in Intelligent and Traditional Buildings," Energies, MDPI, vol. 15(18), pages 1-25, September.
    5. Kristian Fabbri & Jacopo Gaspari & Laura Vandi, 2019. "Indoor Thermal Comfort of Pregnant Women in Hospital: A Case Study Evidence," Sustainability, MDPI, vol. 11(23), pages 1-24, November.
    6. Zhang, Sheng & Cheng, Yong & Oladokun, Majeed Olaide & Huan, Chao & Lin, Zhang, 2019. "Heat removal efficiency of stratum ventilation for air-side modulation," Applied Energy, Elsevier, vol. 238(C), pages 1237-1249.

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