IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v139y2017icp329-340.html
   My bibliography  Save this article

Energy recovery in cooling water system by hydro turbines

Author

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

Abstract

A cooling water system requires a large amount of power to send water to coolers installed at high platform. In spite of pressure drop, most power is not consumed, but turns to potential energy. The potential energy will turn back to pressure once cooling water goes down from high, but the pressure is wasted in current cooling water system. In this work, hydro turbines are used to recover surplus pressure. In comparison with Main-Auxiliary pump structure that is used to reduce pressure head of main pump, a new superstructure contains Main-Auxiliary pump structure and Main-Branch hydro turbine structure is proposed. The hydro turbines can be installed on the main pipeline to recover surplus pressure turned from potential energy, or on branch pipeline to recover surplus pressure provided by auxiliary pump, and to balance pressure between parallel branches. MINLP algorithm is employed to optimize pump network and hydro turbine network simultaneously. The results show that hydro turbine has greater energy saving potential than auxiliary pump. Structure with Main-Auxiliary pump and Main-Branch hydro turbine is the most energy saving and cost saving configuration. Two case studies demonstrated that the optimal structures save up to 28.2% and 31.7% of the total annual cost, and save 36.8% and 39.1% of the total energy consumption.

Suggested Citation

  • Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2017. "Energy recovery in cooling water system by hydro turbines," Energy, Elsevier, vol. 139(C), pages 329-340.
  • Handle: RePEc:eee:energy:v:139:y:2017:i:c:p:329-340
    DOI: 10.1016/j.energy.2017.07.166
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217313609
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2017.07.166?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. Tirmizi, Syed A. & Gandhidasan, P. & Zubair, Syed M., 2012. "Performance analysis of a chilled water system with various pumping schemes," Applied Energy, Elsevier, vol. 100(C), pages 238-248.
    2. 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.
    3. 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.
    4. Elbatran, A.H. & Yaakob, O.B. & Ahmed, Yasser M. & Shabara, H.M., 2015. "Operation, performance and economic analysis of low head micro-hydropower turbines for rural and remote areas: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 40-50.
    5. 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.
    6. 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.
    7. Zhang, Zijun & Zeng, Yaohui & Kusiak, Andrew, 2012. "Minimizing pump energy in a wastewater processing plant," Energy, Elsevier, vol. 47(1), pages 505-514.
    8. Du, Jiyun & Yang, Hongxing & Shen, Zhicheng & Chen, Jian, 2017. "Micro hydro power generation from water supply system in high rise buildings using pump as turbines," Energy, Elsevier, vol. 137(C), pages 431-440.
    9. Cui, Haijiao & Li, Nianping & Wang, Xinlei & Peng, Jinqing & Li, Yuan & Wu, Zhibin, 2017. "Optimization of reversibly used cooling tower with downward spraying," Energy, Elsevier, vol. 127(C), pages 30-43.
    10. Chen, J. & Yang, H.X. & Liu, C.P. & Lau, C.H. & Lo, M., 2013. "A novel vertical axis water turbine for power generation from water pipelines," Energy, Elsevier, vol. 54(C), pages 184-193.
    11. 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.
    12. Aggidis, G.A. & Luchinskaya, E. & Rothschild, R. & Howard, D.C., 2010. "The costs of small-scale hydro power production: Impact on the development of existing potential," Renewable Energy, Elsevier, vol. 35(12), pages 2632-2638.
    13. 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.
    14. Shenoy, Akshay U. & Shenoy, Uday V., 2013. "Targeting and design of CWNs (cooling water networks)," Energy, Elsevier, vol. 55(C), pages 1033-1043.
    15. 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.
    16. 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.
    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. Shen, Zhicheng & Yao, Yao & Wang, Qiliang & Lu, Lin & Yang, Hongxing, 2023. "A novel micro power generation system to efficiently harvest hydroelectric energy for power supply to water intelligent networks of urban water pipelines," Energy, Elsevier, vol. 268(C).
    2. Theocharis, Dimitrios & Rodrigues, Vasco Sanchez & Pettit, Stephen & Haider, Jane, 2019. "Feasibility of the Northern Sea Route: The role of distance, fuel prices, ice breaking fees and ship size for the product tanker market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 111-135.
    3. Gu, Yandong & Pei, Ji & Yuan, Shouqi & Wang, Wenjie & Zhang, Fan & Wang, Peng & Appiah, Desmond & Liu, Yong, 2019. "Clocking effect of vaned diffuser on hydraulic performance of high-power pump by using the numerical flow loss visualization method," Energy, Elsevier, vol. 170(C), pages 986-997.
    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. Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2018. "Optimization of multi-plants cooling water system," Energy, Elsevier, vol. 150(C), pages 797-815.
    6. 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.
    7. Itani, Youssef & Soliman, Mohamed Reda & Kahil, Maher, 2020. "Recovering energy by hydro-turbines application in water transmission pipelines: A case study west of Saudi Arabia," Energy, Elsevier, vol. 211(C).
    8. Ifaei, Pouya & Farid, Alireza & Yoo, ChangKyoo, 2018. "An optimal renewable energy management strategy with and without hydropower using a factor weighted multi-criteria decision making analysis and nation-wide big data - Case study in Iran," Energy, Elsevier, vol. 158(C), pages 357-372.
    9. 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.

    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, 2018. "Optimization of multi-plants cooling water system," Energy, Elsevier, vol. 150(C), pages 797-815.
    2. 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.
    3. Jiyun, Du & Hongxing, Yang & Zhicheng, Shen & Xiaodong, Guo, 2018. "Development of an inline vertical cross-flow turbine for hydropower harvesting in urban water supply pipes," Renewable Energy, Elsevier, vol. 127(C), pages 386-397.
    4. Zhou, Daqing & Deng, Zhiqun (Daniel), 2017. "Ultra-low-head hydroelectric technology: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 23-30.
    5. Zhou, Daqing & Gui, Jia & Deng, Zhiqun Daniel & Chen, Huixiang & Yu, Yunyun & Yu, An & Yang, Chunxia, 2019. "Development of an ultra-low head siphon hydro turbine using computational fluid dynamics," Energy, Elsevier, vol. 181(C), pages 43-50.
    6. 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.
    7. Yao, Yao & Shen, Zhicheng & Wang, Qiliang & Du, Jiyun & Lu, Lin & Yang, Hongxing, 2023. "Development of an inline bidirectional micro crossflow turbine for hydropower harvesting from water supply pipelines," Applied Energy, Elsevier, vol. 329(C).
    8. 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.
    9. Auth, Trevor L. & Wackerman, Grace E. & Garcia, Marcelo H. & Stillwell, Ashlynn S., 2021. "Low-head hydropower as a reserve power source: A case study of Northeastern Illinois," Renewable Energy, Elsevier, vol. 175(C), pages 980-989.
    10. Jawahar, C.P. & Michael, Prawin Angel, 2017. "A review on turbines for micro hydro power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 882-887.
    11. Huixiang Chen & Kan Kan & Haolan Wang & Maxime Binama & Yuan Zheng & Hui Xu, 2021. "Development and Numerical Performance Analysis of a Micro Turbine in a Tap-Water Pipeline," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    12. Saber, Hossein & Mazaheri, Hesam & Ranjbar, Hossein & Moeini-Aghtaie, Moein & Lehtonen, Matti, 2021. "Utilization of in-pipe hydropower renewable energy technology and energy storage systems in mountainous distribution networks," Renewable Energy, Elsevier, vol. 172(C), pages 789-801.
    13. Meita Rumbayan & Rilya Rumbayan, 2023. "Feasibility Study of a Micro Hydro Power Plant for Rural Electrification in Lalumpe Village, North Sulawesi, Indonesia," Sustainability, MDPI, vol. 15(19), pages 1-13, September.
    14. Ghorani, Mohammad Mahdi & Sotoude Haghighi, Mohammad Hadi & Maleki, Ali & Riasi, Alireza, 2020. "A numerical study on mechanisms of energy dissipation in a pump as turbine (PAT) using entropy generation theory," Renewable Energy, Elsevier, vol. 162(C), pages 1036-1053.
    15. Alejandro Tapia Córdoba & Daniel Gutiérrez Reina & Pablo Millán Gata, 2019. "An Evolutionary Computational Approach for Designing Micro Hydro Power Plants," Energies, MDPI, vol. 12(5), pages 1-25, March.
    16. 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.
    17. Maleki, Ali & Ghorani, Mohammad Mahdi & Haghighi, Mohammad Hadi Sotoude & Riasi, Alireza, 2020. "Numerical study on the effect of viscosity on a multistage pump running in reverse mode," Renewable Energy, Elsevier, vol. 150(C), pages 234-254.
    18. 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.
    19. Qian, Zhongdong & Wang, Fan & Guo, Zhiwei & Lu, Jie, 2016. "Performance evaluation of an axial-flow pump with adjustable guide vanes in turbine mode," Renewable Energy, Elsevier, vol. 99(C), pages 1146-1152.
    20. 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.

    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:139:y:2017:i:c:p:329-340. 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.