Analysis of Thermal Comfort in Intelligent and Traditional Buildings
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- Yao, Runming & Liu, Jing & Li, Baizhan, 2010. "Occupants' adaptive responses and perception of thermal environment in naturally conditioned university classrooms," Applied Energy, Elsevier, vol. 87(3), pages 1015-1022, March.
- Uğursal, Ahmet & Culp, Charles H., 2013. "The effect of temperature, metabolic rate and dynamic localized airflow on thermal comfort," Applied Energy, Elsevier, vol. 111(C), pages 64-73.
- Leonidas Bourikas & Stephanie Gauthier & Nicholas Khor Song En & Peiyao Xiong, 2021. "Effect of Thermal, Acoustic and Air Quality Perception Interactions on the Comfort and Satisfaction of People in Office Buildings," Energies, MDPI, vol. 14(2), pages 1-18, January.
- Zhiqiang Shi & Qianni Liu & Zhongjun Zhang & Tianhao Yue, 2022. "Thermal Comfort in the Design Classroom for Architecture in the Cold Area of China," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
- 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.
- Nematchoua, Modeste Kameni & Tchinda, René & Orosa, José A., 2014. "Thermal comfort and energy consumption in modern versus traditional buildings in Cameroon: A questionnaire-based statistical study," Applied Energy, Elsevier, vol. 114(C), pages 687-699.
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- Łukasz Amanowicz & Katarzyna Ratajczak & Edyta Dudkiewicz, 2023. "Recent Advancements in Ventilation Systems Used to Decrease Energy Consumption in Buildings—Literature Review," Energies, MDPI, vol. 16(4), pages 1-39, February.
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Keywords
indoor environment; thermal comfort; thermal sensations;All these keywords.
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