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Cumulative exergy analysis of ice thermal storage air conditioning system

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  • Pu, Jing
  • Liu, Guilian
  • Feng, Xiao

Abstract

Based on the cumulative exergy analysis method, the effect of incorporating the Ice Thermal Storage (ITS) air conditioning system in power supply is analyzed. Not only the cumulative exergy of air conditioning system is considered, but also that of the processes consuming the power generated by the same peak regulating unit. The results show that the total cumulative exergy consumption of all processes consuming the power supplied by the peak generating unit, increases as the ITS system is applied. However, the average cumulative exergy variation, which is the ratio between the increment of the cumulative exergy consumption (ΔCEx) and the cooling load of the ITS system (QITS), decreases slightly as QITS increases. It exhibits a linear relationship with the operating load of the power generating unit and QITS. And, it decreases as either of the two parameters increases. These results are verified by two case studies.

Suggested Citation

  • Pu, Jing & Liu, Guilian & Feng, Xiao, 2012. "Cumulative exergy analysis of ice thermal storage air conditioning system," Applied Energy, Elsevier, vol. 93(C), pages 564-569.
    • Handle: RePEc:eee:appene:v:93:y:2012:i:c:p:564-569
    DOI: 10.1016/j.apenergy.2011.12.003
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    Cited by:

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    2. Du, Yan & Gai, Wen-mei & Jin, Long-zhe & Sheng, Wang, 2017. "Thermal comfort model analysis and optimization performance evaluation of a multifunctional ice storage air conditioning system in a confined mine refuge chamber," Energy, Elsevier, vol. 141(C), pages 964-974.
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    4. Xuan Vien Nguyen, 2021. "Fabrication and Performance Evaluation of Cold Thermal Energy Storage Tanks Operating in Water Chiller Air Conditioning System," Energies, MDPI, vol. 14(14), pages 1-16, July.
    5. Qv, Dehu & Dong, Bingbing & Cao, Lin & Ni, Long & Wang, Jijin & Shang, Runxin & Yao, Yang, 2017. "An experimental and theoretical study on an injection-assisted air-conditioner using R32 in the refrigeration cycle," Applied Energy, Elsevier, vol. 185(P1), pages 791-804.
    6. Ruddell, Benjamin L. & Salamanca, Francisco & Mahalov, Alex, 2014. "Reducing a semiarid city’s peak electrical demand using distributed cold thermal energy storage," Applied Energy, Elsevier, vol. 134(C), pages 35-44.
    7. Barthwal, Mohit & Dhar, Atul & Powar, Satvasheel, 2021. "The techno-economic and environmental analysis of genetic algorithm (GA) optimized cold thermal energy storage (CTES) for air-conditioning applications," Applied Energy, Elsevier, vol. 283(C).
    8. Ghasemi-Mobtaker, Hassan & Mostashari-Rad, Fatemeh & Saber, Zahra & Chau, Kwok-wing & Nabavi-Pelesaraei, Ashkan, 2020. "Application of photovoltaic system to modify energy use, environmental damages and cumulative exergy demand of two irrigation systems-A case study: Barley production of Iran," Renewable Energy, Elsevier, vol. 160(C), pages 1316-1334.
    9. Liu, Shengchun & Li, Hailong & Song, Mengjie & Dai, Baomin & Sun, Zhili, 2018. "Impacts on the solidification of water on plate surface for cold energy storage using ice slurry," Applied Energy, Elsevier, vol. 227(C), pages 284-293.
    10. Said, M.A. & Hassan, Hamdy, 2018. "Parametric study on the effect of using cold thermal storage energy of phase change material on the performance of air-conditioning unit," Applied Energy, Elsevier, vol. 230(C), pages 1380-1402.

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