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Analysis of thermal comfort, energy consumption, and CO2 reduction of indoor space according to the type of local heating under winter rest conditions

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  • Lee, Minjung
  • Ham, Jeonggyun
  • Lee, Jeong-Won
  • Cho, Honghyun

Abstract

In this study, the thermal comfort of indoor spaces while resting under winter indoor conditions was evaluated by analyzing the bio-signals of the human body according to the seat type, and then energy use and CO2 reduction were calculated for space heating. While resting during the winter, the use of a HH (hot-water heating) seat appears to have provided a stable resting environment because the θ-wave of the subjects was activated. In addition, the subjective survey analysis results showed that the use of the EH (electric heating) seat and HH seat provided the subjects with an appropriate resting environment and observed a high concentration when the EH seat was used. When the EH and HH seats were used at an indoor temperature of 22.5 °C, provided the same thermal comfort in winter, the energy consumption decreased by 2060.6 and 1231.2 MJ, respectively, compared to the indoor temperature set to 25.4 °C. Accordingly, coal consumption decreased by 8.9% and 5.3%, respectively. Besides, the CO2 and SO2 emissions decreased by up to 193.1 and 1.07 kg, respectively. It was confirmed that local heating while resting in an indoor space can reduce the heating load and energy consumption and improve the thermal comfort of the occupant.

Suggested Citation

  • Lee, Minjung & Ham, Jeonggyun & Lee, Jeong-Won & Cho, Honghyun, 2023. "Analysis of thermal comfort, energy consumption, and CO2 reduction of indoor space according to the type of local heating under winter rest conditions," Energy, Elsevier, vol. 268(C).
    • Handle: RePEc:eee:energy:v:268:y:2023:i:c:s0360544223001160
    DOI: 10.1016/j.energy.2023.126722
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    as
    1. Turhan, Cihan & Simani, Silvio & Gokcen Akkurt, Gulden, 2021. "Development of a personalized thermal comfort driven controller for HVAC systems," Energy, Elsevier, vol. 237(C).
    2. Xie, Xing & Chen, Xing-ni & Xu, Bin & Pei, Gang, 2022. "Investigation of occupied/unoccupied period on thermal comfort in Guangzhou: Challenges and opportunities of public buildings with high window-wall ratio," Energy, Elsevier, vol. 244(PB).
    3. Hughes, Caroline & Natarajan, Sukumar & Liu, Chunde & Chung, Woong June & Herrera, Manuel, 2019. "Winter thermal comfort and health in the elderly," Energy Policy, Elsevier, vol. 134(C).
    4. Jung, Wooyoung & Jazizadeh, Farrokh, 2020. "Energy saving potentials of integrating personal thermal comfort models for control of building systems: Comprehensive quantification through combinatorial consideration of influential parameters," Applied Energy, Elsevier, vol. 268(C).
    5. Oh, Myoung Su & Ahn, Jae Hwan & Kim, Dong Woo & Jang, Dong Soo & Kim, Yongchan, 2014. "Thermal comfort and energy saving in a vehicle compartment using a localized air-conditioning system," Applied Energy, Elsevier, vol. 133(C), pages 14-21.
    6. Qu, Ke & Chen, Xiangjie & Wang, Yixin & Calautit, John & Riffat, Saffa & Cui, Xin, 2021. "Comprehensive energy, economic and thermal comfort assessments for the passive energy retrofit of historical buildings - A case study of a late nineteenth-century Victorian house renovation in the UK," Energy, Elsevier, vol. 220(C).
    7. Simnad, Massoud, 1998. "Overview of fast breeder reactors," Energy, Elsevier, vol. 23(7), pages 523-531.
    8. Ismail, Nagham & Ouahrani, Djamel, 2022. "Modelling of cooling radiant cubicle for an office room to test cooling performance, thermal comfort and energy savings in hot climates," Energy, Elsevier, vol. 244(PB).
    9. Homod, Raad Z. & Gaeid, Khalaf S. & Dawood, Suroor M. & Hatami, Alireza & Sahari, Khairul S., 2020. "Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings," Applied Energy, Elsevier, vol. 271(C).
    10. 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).
    11. Woobin Kang & Yunchan Shin & Honghyun Cho, 2017. "Economic Analysis of Flat-Plate and U-Tube Solar Collectors Using an Al 2 O 3 Nanofluid," Energies, MDPI, vol. 10(11), pages 1-15, November.
    12. 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.
    13. Li, Qing & Zhang, Lianying & Zhang, Limao & Wu, Xianguo, 2021. "Optimizing energy efficiency and thermal comfort in building green retrofit," Energy, Elsevier, vol. 237(C).
    14. Zhang, Sheng & Cheng, Yong & Fang, Zhaosong & Huan, Chao & Lin, Zhang, 2017. "Optimization of room air temperature in stratum-ventilated rooms for both thermal comfort and energy saving," Applied Energy, Elsevier, vol. 204(C), pages 420-431.
    15. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Koo, Choongwan & Jeong, Kwangbok, 2016. "An optimization model for selecting the optimal green systems by considering the thermal comfort and energy consumption," Applied Energy, Elsevier, vol. 169(C), pages 682-695.
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