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Optimizing Control of Secondary Water Supply Tanks for Demand Peak Staggering

Author

Listed:
  • Jian Wang

    (Hefei University of Technology)

  • Bangwu Deng

    (Anhui Shunyu Water Co., Ltd)

  • Shuai Jiang

    (Anhui Shunyu Water Co., Ltd)

  • Zhuozhi Deng

    (Anhui Shunyu Water Co., Ltd)

  • Wei Wang

    (Hefei University of Technology)

  • Guowei Chen

    (Hefei University of Technology)

  • Li Liu

    (Hefei University of Technology)

Abstract

Water consumption dynamics lead to pressure fluctuations at network nodes, potentially associated with pipe leakages or unreliable supply within a water distribution system. Efficient management of secondary water supply system (SWSS) could enhance inflow modes of its essential component (i.e., storage tank) of potential implication on pressure control and water quality maintenance. In this study, a novel computational framework was developed to determine the optimal inflow profiles of storage tanks, where a water supply system simulation model was integrated with the particle swarm algorithm-based optimization for demand peak staggering. Experimental investigations on an example water supply system revealed that, as compared to the control of float ball valves, the optimizing regulation of SWSS tanks remarkably reduced water pressure oscillations by approximately 70%, correspondingly with the minimum pressure elevating and the maximum pressure declining among network nodes. Furthermore, the enhancing regulation schemes allowed water levels to fluctuate within an effective range, thus decreasing water retention time and facilitating associated water quality safety. Sensitivity analysis from our simulations indicates that increasingly appropriate tank number and size magnified the regulation capability, thereby reinforcing the promotion effect of optimizing control schemes on the system performance. The proposed approach is expected to provide theoretical support for optimizing the dynamic operations and management of SWSSs.

Suggested Citation

  • Jian Wang & Bangwu Deng & Shuai Jiang & Zhuozhi Deng & Wei Wang & Guowei Chen & Li Liu, 2024. "Optimizing Control of Secondary Water Supply Tanks for Demand Peak Staggering," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(11), pages 4123-4136, September.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:11:d:10.1007_s11269-024-03855-3
    DOI: 10.1007/s11269-024-03855-3
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    References listed on IDEAS

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    1. Mehdi Dini & Mozhdeh Hemmati & Saeed Hashemi, 2022. "Optimal Operational Scheduling of Pumps to Improve the Performance of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 417-432, January.
    2. Mehdi Dini & Massoud Tabesh, 2014. "A New Method for Simultaneous Calibration of Demand Pattern and Hazen-Williams Coefficients 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. 28(7), pages 2021-2034, May.
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