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Investigating Energy Flow in Water-Energy Storage for Hydropower Generation in Water Distribution Systems

Author

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  • M. Fayzul K. Pasha

    (California State University)

  • Matthew Weathers

    (Oak Ridge National Laboratory)

  • Brennan Smith

    (Oak Ridge National Laboratory)

Abstract

Quantifying excess energy using an energy balance model is the key to designing and operating an energy-efficient water distribution system (WDS). Excess energy, which can be recovered instantly or stored in a water-energy storage is the basis to estimate hydropower potential in the system. For a given WDS with its demand, how the excess energy can be managed efficiently to design a water-energy storage to maximize hydropower generation is the focus of this paper. A single-objective optimization model has been developed to optimize the dimensions for up to six water-energy storages for maximizing hydropower generation while minimizing the pumping energy. While the ratio of total energy recovered to total pumping energy is found to be about 40% for all water-energy configurations, the recovered specific energy ranges from 0.116 kWh/m3 to 0.121 kWh/m3 showing the potential use of WDS as an energy storage. Results show that hydropower generation increases with the increase of number of storages up to a certain number representing the constraints of constant drinking water demand and storage dimensions. In-pipe turbines with pump operation for minimizing pumping energy can offer the optimal solution for WDS energy management. A higher number of storages with in-pipe turbines offers uniformity in pressure distribution resulting increase in system robustness.

Suggested Citation

  • M. Fayzul K. Pasha & Matthew Weathers & Brennan Smith, 2020. "Investigating Energy Flow in Water-Energy Storage for Hydropower Generation in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1609-1622, March.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:5:d:10.1007_s11269-020-02497-5
    DOI: 10.1007/s11269-020-02497-5
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    References listed on IDEAS

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    1. N. Fontana & M. Giugni & L. Glielmo & G. Marini & R. Zollo, 2019. "Operation of a Prototype for Real Time Control of Pressure and Hydropower Generation in Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 697-712, January.
    2. M. Pasha & Kevin Lansey, 2014. "Strategies to Develop Warm Solutions for Real-Time Pump Scheduling for Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 3975-3987, September.
    3. Roberto del Teso & Elena Gómez & Elvira Estruch-Juan & Enrique Cabrera, 2019. "Topographic Energy Management in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4385-4400, September.
    4. Armando Carravetta & Giuseppe Del Giudice & Oreste Fecarotta & Helena Ramos, 2012. "Energy Production in Water Distribution Networks: A PAT Design Strategy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3947-3959, October.
    5. Oreste Fecarotta & Aonghus McNabola, 2017. "Optimal Location of Pump as Turbines (PATs) in Water Distribution Networks to Recover Energy and Reduce Leakage," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 5043-5059, December.
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    2. Oviroh, Peter Ozaveshe & Austin-Breneman, Jesse & Chien, Cheng-Chun & Chakravarthula, Praneet Nallan & Harikumar, Vaishnavi & Shiva, Pranjal & Kimbowa, Alvin Bagetuuma & Luntz, Jonathan & Miyingo, Emm, 2023. "Micro Water-Energy-Food (MicroWEF) Nexus: A system design optimization framework for Integrated Natural Resource Conservation and Development (INRCD) projects at community scale," Applied Energy, Elsevier, vol. 333(C).
    3. Sooyeon Yi & G. Mathias Kondolf & Samuel Sandoval-Solis & Larry Dale, 2022. "Application of Machine Learning-based Energy Use Forecasting for Inter-basin Water Transfer Project," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5675-5694, November.
    4. Thomas Pirard & Vasileios Kitsikoudis & Sebastien Erpicum & Michel Pirotton & Pierre Archambeau & Benjamin Dewals, 2022. "Discharge Redistribution as a Key Process for Heuristic Optimization of Energy Production with Pumps as Turbines in a Water Distribution Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1237-1250, March.

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