IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v150y2018icp797-815.html
   My bibliography  Save this article

Optimization of multi-plants cooling water system

Author

Listed:
  • Ma, Jiaze
  • Wang, Yufei
  • Feng, Xiao

Abstract

Conventionally, cooling water system is optimized within a single plant. In reality, a set of cooling towers supply water for multiple plants. This paper presents an optimization model for multi-plants cooling water system. Instead of using a set of uniform pumps to transport cooling water, this work proposed a novel multi-loops pump network and an updated main-auxiliary pump network to reduce pumping energy. Distance factors and pipeline layouts are considered owing to the long distance between plants and pump station. Connecting patterns of different pump networks are investigated and corresponding piping costs are treated as optimized variables. Cooler and pump networks, cooling tower and pipeline layouts are optimized simultaneously. The model is formulated as a mixed-integer nonlinear programming (MINLP) problem. The objective is to obtain the cooling water system with minimized total annual cost. Two case studies are used to illustrate the effectiveness of the proposed structure.

Suggested Citation

  • Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2018. "Optimization of multi-plants cooling water system," Energy, Elsevier, vol. 150(C), pages 797-815.
    • Handle: RePEc:eee:energy:v:150:y:2018:i:c:p:797-815
    DOI: 10.1016/j.energy.2018.03.029
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218304274
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.03.029?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. Muller, C.J. & Craig, I.K., 2016. "Energy reduction for a dual circuit cooling water system using advanced regulatory control," Applied Energy, Elsevier, vol. 171(C), pages 287-295.
    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. Bonvin, Gratien & Demassey, Sophie & Le Pape, Claude & Maïzi, Nadia & Mazauric, Vincent & Samperio, Alfredo, 2017. "A convex mathematical program for pump scheduling in a class of branched water networks," Applied Energy, Elsevier, vol. 185(P2), pages 1702-1711.
    4. Arun Shankar, Vishnu Kalaiselvan & Umashankar, Subramaniam & Paramasivam, Shanmugam & Hanigovszki, Norbert, 2016. "A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system," Applied Energy, Elsevier, vol. 181(C), pages 495-513.
    5. 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.
    6. Soltani, Hadi & Shafiei, Sirous, 2011. "Heat exchanger networks retrofit with considering pressure drop by coupling genetic algorithm with LP (linear programming) and ILP (integer linear programming) methods," Energy, Elsevier, vol. 36(5), pages 2381-2391.
    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. Hong, Xiaodong & Liao, Zuwei & Jiang, Binbo & Wang, Jingdai & Yang, Yongrong, 2017. "Targeting of heat integrated water allocation networks by one-step MILP formulation," Applied Energy, Elsevier, vol. 197(C), pages 254-269.
    9. 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.
    10. Zhuan, Xiangtao & Xia, Xiaohua, 2013. "Optimal operation scheduling of a pumping station with multiple pumps," Applied Energy, Elsevier, vol. 104(C), pages 250-257.
    11. Williamson, S.J. & Stark, B.H. & Booker, J.D., 2014. "Low head pico hydro turbine selection using a multi-criteria analysis," Renewable Energy, Elsevier, vol. 61(C), pages 43-50.
    12. Yu, F.W. & Chan, K.T., 2008. "Optimization of water-cooled chiller system with load-based speed control," Applied Energy, Elsevier, vol. 85(10), pages 931-950, October.
    13. Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2017. "Energy recovery in cooling water system by hydro turbines," Energy, Elsevier, vol. 139(C), pages 329-340.
    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, Keyan & Liu, Mingsheng & Zhang, Jili, 2021. "Online optimization method of cooling water system based on the heat transfer model for cooling tower," Energy, Elsevier, vol. 231(C).

    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. 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. Filipe, Jorge & Bessa, Ricardo J. & Reis, Marisa & Alves, Rita & Póvoa, Pedro, 2019. "Data-driven predictive energy optimization in a wastewater pumping station," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    3. 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.
    4. Peng Wang & Jinling Lu & Qingsen Cai & Senlin Chen & Xingqi Luo, 2021. "Analysis and Optimization of Cooling Water System Operating Cost under Changes in Ambient Temperature and Working Medium Flow," Energies, MDPI, vol. 14(21), pages 1-19, October.
    5. Peng Wang & Xingqi Luo & Jinling Lu & Qiyao Xue & Jiawei Gao & Senlin Chen, 2022. "Energy and Economic Analysis of Power Generation Using Residual Pressure of a Circulating Cooling Water System," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    6. Torregrossa, Dario & Hansen, Joachim & Hernández-Sancho, Francesc & Cornelissen, Alex & Schutz, Georges & Leopold, Ulrich, 2017. "A data-driven methodology to support pump performance analysis and energy efficiency optimization in Waste Water Treatment Plants," Applied Energy, Elsevier, vol. 208(C), pages 1430-1440.
    7. Zheng, Chenglin & Chen, Xi & Zhu, Lingyu & Shi, Jiaqi, 2018. "Simultaneous design of pump network and cooling tower allocations for cooling water system synthesis," Energy, Elsevier, vol. 150(C), pages 653-669.
    8. Xuetao Wang & Qianchuan Zhao & Yifan Wang, 2020. "A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems," Energies, MDPI, vol. 13(15), pages 1-24, July.
    9. Shi, Shaofei & Wang, Yufei & Wang, Youlei & Feng, Xiao, 2022. "A new optimization method for cooling systems considering low-temperature waste heat utilization in a polysilicon industry," Energy, Elsevier, vol. 238(PA).
    10. 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.
    11. 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.
    12. Ma, Keyan & Liu, Mingsheng & Zhang, Jili, 2021. "Online optimization method of cooling water system based on the heat transfer model for cooling tower," Energy, Elsevier, vol. 231(C).
    13. 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.
    14. Liu, Mingzhe & Ooka, Ryozo & Choi, Wonjun & Ikeda, Shintaro, 2019. "Experimental and numerical investigation of energy saving potential of centralized and decentralized pumping systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    15. Lai, Yee Qing & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul, 2019. "Customised retrofit of heat exchanger network combining area distribution and targeted investment," Energy, Elsevier, vol. 179(C), pages 1054-1066.
    16. Jiaxin Yu & Jun Wang, 2020. "Optimization Design of a Rain-Power Utilization System Based on a Siphon and Its Application in a High-Rise Building," Energies, MDPI, vol. 13(18), pages 1-18, September.
    17. Li, Nianqi & Klemeš, Jiří Jaromír & Sunden, Bengt & Wu, Zan & Wang, Qiuwang & Zeng, Min, 2022. "Heat exchanger network synthesis considering detailed thermal-hydraulic performance: Methods and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    18. Anilkumar, T.T. & Simon, Sishaj P. & Padhy, Narayana Prasad, 2017. "Residential electricity cost minimization model through open well-pico turbine pumped storage system," Applied Energy, Elsevier, vol. 195(C), pages 23-35.
    19. Fernández Oro, J.M. & Barrio Perotti, R. & Galdo Vega, M. & González, J., 2023. "Effect of the radial gap size on the deterministic flow in a centrifugal pump due to impeller-tongue interactions," Energy, Elsevier, vol. 278(PA).
    20. Ludovic Cassan & Guilhem Dellinger & Pascal Maussion & Nicolas Dellinger, 2021. "Hydrostatic Pressure Wheel for Regulation of Open Channel Networks and for the Energy Supply of Isolated Sites," Sustainability, MDPI, vol. 13(17), pages 1-18, August.

    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:150:y:2018:i:c:p:797-815. 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.