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Improving the energy efficiency of industrial refrigeration systems

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  • Oh, Jin-Sik
  • Binns, Michael
  • Park, Sangmin
  • Kim, Jin-Kuk

Abstract

Various retrofit design options are available for improving the energy efficiency and economics of industrial refrigeration systems. This study considers a novel retrofit option using a mixed refrigerant (MR) in refrigeration cycles designed for use with a pure refrigerant (PR). In this way energy savings can be realized by switching refrigerants without requiring extensive and expensive reconfiguration of equipment. Hence, the aim here is to test the common thinking that equipment should always be extensively reconfigured when switching from pure to mixed refrigerants. To determine the most energy-efficient operating conditions for each refrigeration design an optimization framework is utilized linking a process simulator with an external optimization method. A case study is presented to demonstrate how the proposed process modeling and optimization framework can be applied and to illustrate the economic benefits of using the retrofit design options considered here. For the case considered in this paper, savings of shaft power required for the refrigeration cycle can be achieved from 16.3% to 27.2% when the pure refrigerant is replaced with mixed refrigerants and operating conditions are re-optimized.

Suggested Citation

  • Oh, Jin-Sik & Binns, Michael & Park, Sangmin & Kim, Jin-Kuk, 2016. "Improving the energy efficiency of industrial refrigeration systems," Energy, Elsevier, vol. 112(C), pages 826-835.
    • Handle: RePEc:eee:energy:v:112:y:2016:i:c:p:826-835
    DOI: 10.1016/j.energy.2016.06.119
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    References listed on IDEAS

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    1. Khan, Mohd Shariq & I.A. Karimi, & Bahadori, Alireza & Lee, Moonyong, 2015. "Sequential coordinate random search for optimal operation of LNG (liquefied natural gas) plant," Energy, Elsevier, vol. 89(C), pages 757-767.
    2. Mortazavi, Amir & Alabdulkarem, Abdullah & Hwang, Yunho & Radermacher, Reinhard, 2014. "Novel combined cycle configurations for propane pre-cooled mixed refrigerant (APCI) natural gas liquefaction cycle," Applied Energy, Elsevier, vol. 117(C), pages 76-86.
    3. Xu, Xiongwen & Liu, Jinping & Cao, Le & Pang, Weiqiang, 2014. "Automatically varying the composition of a mixed refrigerant solution for single mixed refrigerant LNG (liquefied natural gas) process at changing working conditions," Energy, Elsevier, vol. 64(C), pages 931-941.
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    Cited by:

    1. Cao, Xuewen & Yang, Jian & Zhang, Yue & Gao, Song & Bian, Jiang, 2022. "Process optimization, exergy and economic analysis of boil-off gas re-liquefaction processes for LNG carriers," Energy, Elsevier, vol. 242(C).
    2. Rech, Sergio & Finco, Elisa & Lazzaretto, Andrea, 2020. "A multicriteria approach to choose the best renewable refrigeration system for food preservation," Renewable Energy, Elsevier, vol. 154(C), pages 368-384.
    3. Wang, Cheng & Ju, Yonglin & Fu, Yunzhun, 2021. "Comparative life cycle cost analysis of low pressure fuel gas supply systems for LNG fueled ships," Energy, Elsevier, vol. 218(C).
    4. Kwak, Dong-Hun & Heo, Jeong-Ho & Park, Seung-Ha & Seo, Seok-Jang & Kim, Jin-Kuk, 2018. "Energy-efficient design and optimization of boil-off gas (BOG) re-liquefaction process for liquefied natural gas (LNG)-fuelled ship," Energy, Elsevier, vol. 148(C), pages 915-929.

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