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A seasonal cold storage system based on separate type heat pipe for sustainable building cooling

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  • Yan, Chengchu
  • Shi, Wenxing
  • Li, Xianting
  • Wang, Shengwei

Abstract

Seasonal cold storage is a high-efficient and environmental-friendly technique that uses the stored natural cold energy in winter (e.g., snow, ice or cold ambient air) for free-cooling in summer. This paper presents a seasonal cold storage system that uses separate type heat pipes to charge the cold energy from ambient air in winter automatically, without consuming any energy. The charged cold energy is stored in the form of ice in an insulated tank and is extracted as chilled water for cooling supply in summer, which help to reduce the chiller running time and reduce the associated electricity consumption and greenhouse gas emission significantly. A quasi-steady two-dimensional mathematical model of the system is developed for characterizing the dynamic performance of ice growth (i.e., cold charging). The model is validated using the field measurement data from an ice charging experiment conducted in Beijing. The impacts of various affecting factors, including the weather data and the key parameters of heat pipes, on the charging performance of the cold storage system are analyzed. The effectiveness and sustainability of the proposed system for cooling are demonstrated through a case study of a kindergarten building in Beijing.

Suggested Citation

  • Yan, Chengchu & Shi, Wenxing & Li, Xianting & Wang, Shengwei, 2016. "A seasonal cold storage system based on separate type heat pipe for sustainable building cooling," Renewable Energy, Elsevier, vol. 85(C), pages 880-889.
    • Handle: RePEc:eee:renene:v:85:y:2016:i:c:p:880-889
    DOI: 10.1016/j.renene.2015.07.023
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    1. Hamada, Yasuhiro & Nakamura, Makoto & Kubota, Hideki, 2007. "Field measurements and analyses for a hybrid system for snow storage/melting and air conditioning by using renewable energy," Applied Energy, Elsevier, vol. 84(2), pages 117-134, February.
    2. Singh, Randeep & Mochizuki, Masataka & Mashiko, Koichi & Nguyen, Thang, 2011. "Heat pipe based cold energy storage systems for datacenter energy conservation," Energy, Elsevier, vol. 36(5), pages 2802-2811.
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    3. Cao, Jingyu & Zheng, Zhanying & Asim, Muhammad & Hu, Mingke & Wang, Qiliang & Su, Yuehong & Pei, Gang & Leung, Michael K.H., 2020. "A review on independent and integrated/coupled two-phase loop thermosyphons," Applied Energy, Elsevier, vol. 280(C).
    4. Yan, Chengchu & Gang, Wenjie & Niu, Xiaofeng & Peng, Xujian & Wang, Shengwei, 2017. "Quantitative evaluation of the impact of building load characteristics on energy performance of district cooling systems," Applied Energy, Elsevier, vol. 205(C), pages 635-643.
    5. Alizadeh, M. & Sadrameli, S.M., 2016. "Development of free cooling based ventilation technology for buildings: Thermal energy storage (TES) unit, performance enhancement techniques and design considerations – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 619-645.
    6. Pio Alessandro Lombardi & Kranthi Ranadheer Moreddy & André Naumann & Przemyslaw Komarnicki & Carmine Rodio & Sergio Bruno, 2019. "Data Centers as Active Multi-Energy Systems for Power Grid Decarbonization: A Technical and Economic Analysis," Energies, MDPI, vol. 12(21), pages 1-14, November.
    7. Li, Xiwang & Malkawi, Ali, 2016. "Multi-objective optimization for thermal mass model predictive control in small and medium size commercial buildings under summer weather conditions," Energy, Elsevier, vol. 112(C), pages 1194-1206.
    8. Li, Xingping & Li, Ji & Zhou, Guohui & Lv, Lucang, 2020. "Quantitative analysis of passive seasonal cold storage with a two-phase closed thermosyphon," Applied Energy, Elsevier, vol. 260(C).
    9. Michael Lanahan & Paulo Cesar Tabares-Velasco, 2017. "Seasonal Thermal-Energy Storage: A Critical Review on BTES Systems, Modeling, and System Design for Higher System Efficiency," Energies, MDPI, vol. 10(6), pages 1-24, May.
    10. Pei Cai & Youxue Jiang & He Wang & Liangyu Wu & Peng Cao & Yulong Zhang & Feng Yao, 2020. "Numerical Simulation on the Influence of the Longitudinal Fins on the Enhancement of a Shell-and-Tube Ice Storage Device," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    11. Liu, Zichu & Quan, Zhenhua & Zhang, Nan & Wang, Yubo & Yang, Mingguang & Zhao, Yaohua, 2023. "Energy and exergy analysis of a novel direct-expansion ice thermal storage system based on three-fluid heat exchanger module," Applied Energy, Elsevier, vol. 330(PB).
    12. Yan, Chengchu & Wang, Fengling & Pan, Yan & Shan, Kui & Kosonen, Risto, 2020. "A multi-timescale cold storage system within energy flexible buildings for power balance management of smart grids," Renewable Energy, Elsevier, vol. 161(C), pages 626-634.
    13. Yan, Chengchu & Shi, Wenxing & Li, Xianting & Zhao, Yang, 2016. "Optimal design and application of a compound cold storage system combining seasonal ice storage and chilled water storage," Applied Energy, Elsevier, vol. 171(C), pages 1-11.
    14. Xia, Guanghui & Zhuang, Dawei & Ding, Guoliang & Lu, Jingchao, 2020. "A quasi-three-dimensional distributed parameter model of micro-channel separated heat pipe applied for cooling telecommunication cabinets," Applied Energy, Elsevier, vol. 276(C).

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