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Short cut performance method for the design of flexible cooling systems

Author

Listed:
  • Picón-Núnez, Martín
  • Polley, Graham T.
  • Canizalez-Dávalos, Lázaro
  • Medina-Flores, José Martín

Abstract

This paper considers the design of cooling systems in the context of piping costs, exchanger costs, pumping costs and its hydraulic and thermal performance. A methodology for designing coolers in the context of both process needs and cooling water system behaviour is introduced. It is recognised that cooling systems need to be flexible. One way of ensuring this is to design a system for the most demanding load and then use bypasses to control performance under reduced load.

Suggested Citation

  • Picón-Núnez, Martín & Polley, Graham T. & Canizalez-Dávalos, Lázaro & Medina-Flores, José Martín, 2011. "Short cut performance method for the design of flexible cooling systems," Energy, Elsevier, vol. 36(8), pages 4646-4653.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:8:p:4646-4653
    DOI: 10.1016/j.energy.2011.04.041
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    Citations

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    Cited by:

    1. Lemouari, M. & Boumaza, M. & Kaabi, A., 2011. "Experimental investigation of the hydraulic characteristics of a counter flow wet cooling tower," Energy, Elsevier, vol. 36(10), pages 5815-5823.
    2. Gao, Wei & Feng, Xiao, 2017. "The power target of a fluid machinery network in a circulating water system," Applied Energy, Elsevier, vol. 205(C), pages 847-854.
    3. Lira-Barragán, Luis Fernando & Ponce-Ortega, José María & Serna-González, Medardo & El-Halwagi, Mahmoud M., 2014. "Optimal design of process energy systems integrating sustainable considerations," Energy, Elsevier, vol. 76(C), pages 139-160.
    4. Hebert Lugo-Granados & Lázaro Canizalez-Dávalos & Martín Picón-Núñez, 2021. "Comprehensive analysis of the thermohydraulic performance of cooling networks subject to fouling and undergoing retrofit projects," Energy & Environment, , vol. 32(8), pages 1414-1436, December.
    5. Sun, Jin & Feng, Xiao & Wang, Yufei & Deng, Chun & Chu, Khim Hoong, 2014. "Pump network optimization for a cooling water system," Energy, Elsevier, vol. 67(C), pages 506-512.
    6. Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2017. "Energy recovery in cooling water system by hydro turbines," Energy, Elsevier, vol. 139(C), pages 329-340.
    7. Shenoy, Akshay U. & Shenoy, Uday V., 2013. "Targeting and design of CWNs (cooling water networks)," Energy, Elsevier, vol. 55(C), pages 1033-1043.
    8. Cheng, Qi & Wang, Shengwei & Yan, Chengchu, 2017. "Sequential Monte Carlo simulation for robust optimal design of cooling water system with quantified uncertainty and reliability," Energy, Elsevier, vol. 118(C), pages 489-501.
    9. Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2018. "Optimization of multi-plants cooling water system," Energy, Elsevier, vol. 150(C), pages 797-815.
    10. Goudarzi, Mohammad Ali, 2013. "Proposing a new technique to enhance thermal performance and reduce structural design wind loads for natural drought cooling towers," Energy, Elsevier, vol. 62(C), pages 164-172.

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