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Applying exergy and total site analysis for targeting refrigeration shaft power in industrial clusters

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  • Hackl, Roman
  • Harvey, Simon

Abstract

Process cooling below ambient temperature is an energy demanding part of many chemical production processes. Compression refrigeration systems operating at very low temperatures consume a lot of high quality utility such as electricity or high pressure steam to drive the compressor units. In industrial process clusters with several processes operating at low temperatures, it is important to investigate opportunities for exchange of low-temperature energy between processes. This paper demonstrates how total site analysis and exergy analysis can be applied to target for shaft power and related hot utility savings for processes and utility systems operating below ambient temperature. Shaft power targeting by optimizing refrigerant use is conducted. In addition the methodology is extended for shaft power targeting in connection with site-wide heat recovery from cold process streams to generate sub-ambient utility.

Suggested Citation

  • Hackl, Roman & Harvey, Simon, 2013. "Applying exergy and total site analysis for targeting refrigeration shaft power in industrial clusters," Energy, Elsevier, vol. 55(C), pages 5-14.
    • Handle: RePEc:eee:energy:v:55:y:2013:i:c:p:5-14
    DOI: 10.1016/j.energy.2013.03.029
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    2. Morandin, Matteo & Hackl, Roman & Harvey, Simon, 2014. "Economic feasibility of district heating delivery from industrial excess heat: A case study of a Swedish petrochemical cluster," Energy, Elsevier, vol. 65(C), pages 209-220.
    3. Matsuda, Kazuo & Hirochi, Yoshiichi & Kurosaki, Daisuke & Kado, Yosuke, 2015. "Area-wide energy saving program in a large industrial area," Energy, Elsevier, vol. 90(P1), pages 89-94.
    4. Bungener, Stephane & Hackl, Roman & Van Eetvelde, Greet & Harvey, Simon & Marechal, Francois, 2015. "Multi-period analysis of heat integration measures in industrial clusters," Energy, Elsevier, vol. 93(P1), pages 220-234.
    5. Zhang, Bing J. & Tang, Qiao Q. & Zhao, Yue & Chen, Yu Q. & Chen, Qing L. & Floudas, Christodoulos A., 2018. "Multi-level energy integration between units, plants and sites for natural gas industrial parks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 1-15.
    6. Gharagheizi, Farhad & Ilani-Kashkouli, Poorandokht & Mohammadi, Amir H. & Ramjugernath, Deresh, 2014. "A group contribution method for determination of the standard molar chemical exergy of organic compounds," Energy, Elsevier, vol. 70(C), pages 288-297.
    7. Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Walmsley, Timothy G. & Jia, Xuexiu, 2018. "New directions in the implementation of Pinch Methodology (PM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 439-468.
    8. Sanavandi, Hamid & Mafi, Mostafa & Ziabasharhagh, Masoud, 2019. "Normalized sensitivity analysis of LNG processes - Case studies: Cascade and single mixed refrigerant systems," Energy, Elsevier, vol. 188(C).
    9. Hackl, Roman & Harvey, Simon, 2013. "Framework methodology for increased energy efficiency and renewable feedstock integration in industrial clusters," Applied Energy, Elsevier, vol. 112(C), pages 1500-1509.
    10. Haragovics, Máté & Mizsey, Péter, 2014. "A novel application of exergy analysis: Lean manufacturing tool to improve energy efficiency and flexibility of hydrocarbon processing," Energy, Elsevier, vol. 77(C), pages 382-390.
    11. Mehdizadeh, Fariba & Tahouni, Nassim & Panjeshahi, M. Hassan, 2022. "Total site exergy analysis, using a new conceptual method," Energy, Elsevier, vol. 250(C).
    12. Wallerand, Anna S. & Kermani, Maziar & Kantor, Ivan & Maréchal, François, 2018. "Optimal heat pump integration in industrial processes," Applied Energy, Elsevier, vol. 219(C), pages 68-92.
    13. Wang, Yufei & Chang, Chenglin & Feng, Xiao, 2015. "A systematic framework for multi-plants Heat Integration combining Direct and Indirect Heat Integration methods," Energy, Elsevier, vol. 90(P1), pages 56-67.
    14. Back, Jaime André & Tedesco, Leonel Pablo & Molz, Rolf Fredi & Nara, Elpidio Oscar Benitez, 2016. "An embedded system approach for energy monitoring and analysis in industrial processes," Energy, Elsevier, vol. 115(P1), pages 811-819.

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