Application of a new 13-value thermal comfort scale to moderate environments
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DOI: 10.1016/j.apenergy.2016.08.043
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Cited by:
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- 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.
- 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.
- 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.
- 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.
- 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.
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Keywords
Thermal comfort; Adaptive thermal comfort; New 13-value comfort scale; 7-value and 13-value comparison; Moderate environments;All these keywords.
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