IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v55y2013icp1033-1043.html
   My bibliography  Save this article

Targeting and design of CWNs (cooling water networks)

Author

Listed:
  • Shenoy, Akshay U.
  • Shenoy, Uday V.

Abstract

CWNs (cooling water networks) are targeted and designed in this work by an analytical approach requiring no graphical procedures. The key basis for the approach is the conversion of the cooling duties to equivalent inlet–outlet (demand–source) pairs. The UTA (Unified Targeting Algorithm) is first used to establish the minimum CW (cooling water) flowrate and identify the pinch temperature. The Enhanced NNA (Nearest-Neighbors Algorithm) is then utilized to systematically synthesize CWNs by giving priority to LR (local-recycle) matches. The flowrate of the LR match is maximized wherever possible by choosing the neighbor source as the cleanest available source rather than the nearest neighbor. This is advantageous because LR matches can be eliminated for fixed load operations to yield relatively simple network designs that not only meet the minimum CW flow target but also minimize the flowrate through the coolers resulting in reduced network cost. Two case studies are presented to illustrate the versatility of the approach in generating multiple optimum network designs for maximum reuse, temperature constraints and debottlenecking. Importantly, it is demonstrated that superior practical networks can be designed for temperature constrained CWNs with pinch migration as well as without pinch recognition.

Suggested Citation

  • Shenoy, Akshay U. & Shenoy, Uday V., 2013. "Targeting and design of CWNs (cooling water networks)," Energy, Elsevier, vol. 55(C), pages 1033-1043.
    • Handle: RePEc:eee:energy:v:55:y:2013:i:c:p:1033-1043
    DOI: 10.1016/j.energy.2013.03.095
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544213003022
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2013.03.095?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Varbanov, Petar Sabev & Fodor, Zsófia & Klemeš, Jiří Jaromír, 2012. "Total Site targeting with process specific minimum temperature difference (ΔTmin)," Energy, Elsevier, vol. 44(1), pages 20-28.
    3. Panjeshahi, Mohammad Hassan & Gharaie, Mona & Ataei, Abtin, 2010. "Debottlenecking procedure of effluent thermal treatment system," Energy, Elsevier, vol. 35(12), pages 5202-5208.
    4. Tan, Raymond R. & Foo, Dominic C.Y., 2007. "Pinch analysis approach to carbon-constrained energy sector planning," Energy, Elsevier, vol. 32(8), pages 1422-1429.
    5. Crilly, Damien & Zhelev, Toshko, 2008. "Emissions targeting and planning: An application of CO2 emissions pinch analysis (CEPA) to the Irish electricity generation sector," Energy, Elsevier, vol. 33(10), pages 1498-1507.
    6. Foo, Dominic C.Y. & Tan, Raymond R. & Ng, Denny K.S., 2008. "Carbon and footprint-constrained energy planning using cascade analysis technique," Energy, Elsevier, vol. 33(10), pages 1480-1488.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2017. "Energy recovery in cooling water system by hydro turbines," Energy, Elsevier, vol. 139(C), pages 329-340.
    2. Foo, Dominic C.Y. & Ng, Denny K.S. & Leong, Malwynn K.Y. & Chew, Irene M.L. & Subramaniam, Mahendran & Aziz, Ramlan & Lee, Jui-Yuan, 2014. "Targeting and design of chilled water network," Applied Energy, Elsevier, vol. 134(C), pages 589-599.
    3. Diban, Pitchaimuthu & Foo, Dominic C.Y., 2018. "Targeting and design of heating utility system for offshore platform," Energy, Elsevier, vol. 146(C), pages 98-111.
    4. Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2018. "Optimization of multi-plants cooling water system," Energy, Elsevier, vol. 150(C), pages 797-815.
    5. Zhang, Haitian & Feng, Xiao & Wang, Yufei & Zhang, Zhen, 2019. "Sequential optimization of cooler and pump networks with different types of cooling," Energy, Elsevier, vol. 179(C), pages 815-822.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Nair, Purusothmn Nair S Bhasker & Tan, Raymond R. & Foo, Dominic C.Y., 2022. "Extended graphical approach for the implementation of energy-consuming negative emission technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    3. Li, Zhiwei & Jia, Xiaoping & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Minimizing carbon footprint using pinch analysis: The case of regional renewable electricity planning in China," Applied Energy, Elsevier, vol. 184(C), pages 1051-1062.
    4. Kim, Seunghyok & Koo, Jamin & Lee, Chang Jun & Yoon, En Sup, 2012. "Optimization of Korean energy planning for sustainability considering uncertainties in learning rates and external factors," Energy, Elsevier, vol. 44(1), pages 126-134.
    5. Yu, Dongwei & Tan, Hongwei, 2016. "Application of ‘potential carbon’ in energy planning with carbon emission constraints," Applied Energy, Elsevier, vol. 169(C), pages 363-369.
    6. Lopez, Neil Stephen A. & Foo, Dominic C.Y. & Tan, Raymond R., 2021. "Optimizing regional electricity trading with Carbon Emissions Pinch Analysis," Energy, Elsevier, vol. 237(C).
    7. Lee, Jui-Yuan, 2017. "A multi-period optimisation model for planning carbon sequestration retrofits in the electricity sector," Applied Energy, Elsevier, vol. 198(C), pages 12-20.
    8. Liang, Sai & Zhang, Tianzhu, 2011. "Managing urban energy system: A case of Suzhou in China," Energy Policy, Elsevier, vol. 39(5), pages 2910-2918, May.
    9. Atkins, Martin J. & Morrison, Andrew S. & Walmsley, Michael R.W., 2010. "Carbon Emissions Pinch Analysis (CEPA) for emissions reduction in the New Zealand electricity sector," Applied Energy, Elsevier, vol. 87(3), pages 982-987, March.
    10. Rok Gomilšek & Lidija Čuček & Marko Homšak & Raymond R. Tan & Zdravko Kravanja, 2020. "Carbon Emissions Constrained Energy Planning for Aluminum Products," Energies, MDPI, vol. 13(11), pages 1-18, June.
    11. de Lira Quaresma, Ana Carolina & Francisco, Flávio S. & Pessoa, Fernando L.P. & Queiroz, Eduardo M., 2018. "Carbon emission reduction in the Brazilian electricity sector using Carbon Sources Diagram," Energy, Elsevier, vol. 159(C), pages 134-150.
    12. Wan Alwi, Sharifah Rafidah & Mohammad Rozali, Nor Erniza & Abdul-Manan, Zainuddin & Klemeš, Jiří Jaromír, 2012. "A process integration targeting method for hybrid power systems," Energy, Elsevier, vol. 44(1), pages 6-10.
    13. Nair, Purusothmn Nair S. Bhasker & Tan, Raymond R. & Foo, Dominic C.Y., 2021. "A generic algebraic targeting approach for integration of renewable energy sources, CO2 capture and storage and negative emission technologies in carbon-constrained energy planning," Energy, Elsevier, vol. 235(C).
    14. Tan, Raymond R., 2011. "A general source-sink model with inoperability constraints for robust energy sector planning," Applied Energy, Elsevier, vol. 88(11), pages 3759-3764.
    15. Jui-Yuan Lee & Han-Fu Lin, 2019. "Multi-Footprint Constrained Energy Sector Planning," Energies, MDPI, vol. 12(12), pages 1-18, June.
    16. Krishna Priya, G.S. & Bandyopadhyay, Santanu, 2017. "Multi-objective pinch analysis for power system planning," Applied Energy, Elsevier, vol. 202(C), pages 335-347.
    17. Walmsley, Michael R.W. & Walmsley, Timothy G. & Atkins, Martin J. & Kamp, Peter J.J. & Neale, James R., 2014. "Minimising carbon emissions and energy expended for electricity generation in New Zealand through to 2050," Applied Energy, Elsevier, vol. 135(C), pages 656-665.
    18. Kong, Karen Gah Hie & How, Bing Shen & Lim, Juin Yau & Leong, Wei Dong & Teng, Sin Yong & Ng, Wendy Pei Qin & Moser, Irene & Sunarso, Jaka, 2022. "Shaving electric bills with renewables? A multi-period pinch-based methodology for energy planning," Energy, Elsevier, vol. 239(PD).
    19. Tan, Raymond R. & Aviso, Kathleen B. & Barilea, Ivan U. & Culaba, Alvin B. & Cruz, Jose B., 2012. "A fuzzy multi-regional input–output optimization model for biomass production and trade under resource and footprint constraints," Applied Energy, Elsevier, vol. 90(1), pages 154-160.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:55:y:2013:i:c:p:1033-1043. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.