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Targeting and design of chilled water network

Author

Listed:
  • Foo, Dominic C.Y.
  • Ng, Denny K.S.
  • Leong, Malwynn K.Y.
  • Chew, Irene M.L.
  • Subramaniam, Mahendran
  • Aziz, Ramlan
  • Lee, Jui-Yuan

Abstract

Chilled water is a common cooling agent used in various industrial, commercial and institutional facilities. In conventional practice, chilled water is distributed via chilled water networks (CHWNs) in parallel configuration to provide required air conditioning and/or equipment cooling in the heating, ventilating and air conditioning (HVAC) system. In this paper, process integration approach based on pinch analysis technique is used to address energy efficiency issues in the CHWN system for grassroots design problem. Graphical and algebraic targeting techniques are developed to identify the minimum chilled water flowrate needed to remove a given amount of heat load from the CHWN. Doing this leads to higher chilled water return temperature and enhanced energy efficiency of the HVAC system. A recent proposed network design technique is extended to synthesize the CHWN in a mixed series/parallel configuration. A novel concept of integrated cooling and chilled water networks (IWN) is also proposed in this work, with its targeting and design techniques presented. Hypothetical examples and an industrial case study are solved to elucidate the proposed approaches.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:134:y:2014:i:c:p:589-599
    DOI: 10.1016/j.apenergy.2014.07.106
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    References listed on IDEAS

    as
    1. Hu, S.-C. & Chuah, Y.K., 2003. "Power consumption of semiconductor fabs in Taiwan," Energy, Elsevier, vol. 28(8), pages 895-907.
    2. Shenoy, Akshay U. & Shenoy, Uday V., 2013. "Targeting and design of CWNs (cooling water networks)," Energy, Elsevier, vol. 55(C), pages 1033-1043.
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    Cited by:

    1. Safder, Usman & Lim, Juin Yau & How, Bing Shen & Ifaei, Pouya & Heo, SungKy & Yoo, ChangKyoo, 2022. "Optimal configuration and economic analysis of PRO-retrofitted industrial networks for sustainable energy production and material recovery considering uncertainties: Bioethanol and sugar mill case stu," Renewable Energy, Elsevier, vol. 182(C), pages 797-816.
    2. Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abd, 2016. "Simultaneous energy targeting, placement of utilities with flue gas, and design of heat recovery networks," Applied Energy, Elsevier, vol. 161(C), pages 605-610.
    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. Ho, Wai Shin & Hashim, Haslenda & Lim, Jeng Shiun & Lee, Chew Tin & Sam, Kah Chiin & Tan, Sie Ting, 2017. "Waste Management Pinch Analysis (WAMPA): Application of Pinch Analysis for greenhouse gas (GHG) emission reduction in municipal solid waste management," Applied Energy, Elsevier, vol. 185(P2), pages 1481-1489.
    5. Chan, Wai Mun & Leong, Yik Teeng & Foo, Ji Jinn & Chew, Irene Mei Leng, 2017. "Synthesis of energy efficient chilled and cooling water network by integrating waste heat recovery refrigeration system," Energy, Elsevier, vol. 141(C), pages 1555-1568.
    6. Diban, Pitchaimuthu & Foo, Dominic C.Y., 2019. "A pinch-based automated targeting technique for heating medium system," Energy, Elsevier, vol. 166(C), pages 193-212.

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