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Synchronization Optimization of Pipe Diameter and Operation Frequency in a Pressurized Irrigation Network Based on the Genetic Algorithm

Author

Listed:
  • Yiyuan Pang

    (Research Centre of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Hong Li

    (Research Centre of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Pan Tang

    (Research Centre of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Chao Chen

    (Research Centre of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

Abstract

The pressurized irrigation network aims to deliver water to consumption nodes at an appropriate pressure and discharge. The traditional pipe network optimization minimizes the annual operating cost or investment per unit area. The present work establishes the traditional pipe diameter and operating frequency optimization models based on flattish terrain. It proposes a new synchronization optimization method of pipe diameter and operation frequency to find the best match point for pipe diameter and operating frequency in the branched network system. The irrigation costs of the above three models, including the energy and pipe network costs, are compared with the original irrigation network system. Based on the results of optimizing the typical experimental field, the operation frequency optimization model and the pipe diameter optimization model can save about 1.4% and 10.6% in irrigation cost, respectively. Furthermore, the synchronous optimization model can significantly reduce the irrigation cost to about 19.3%, including a 26.6% reduction in the pipe network cost and a 21.9% increase in the energy cost. Compared with pipe diameter optimization, synchronous optimization can further reduce network costs while generating lower energy costs. The results of this research can be used for the design of the network system in flattish terrain to reduce the irrigation cost.

Suggested Citation

  • Yiyuan Pang & Hong Li & Pan Tang & Chao Chen, 2022. "Synchronization Optimization of Pipe Diameter and Operation Frequency in a Pressurized Irrigation Network Based on the Genetic Algorithm," Agriculture, MDPI, vol. 12(5), pages 1-16, May.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:5:p:673-:d:811353
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    References listed on IDEAS

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    1. Shiono, Naoshi & Suzuki, Hisatoshi & Saruwatari, Yasufumi, 2019. "A dynamic programming approach for the pipe network layout problem," European Journal of Operational Research, Elsevier, vol. 277(1), pages 52-61.
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    3. Córcoles, J.I. & de Juan, J.A. & Ortega, J.F. & Tarjuelo, J.M. & Moreno, M.A., 2010. "Management evaluation of Water Users Associations using benchmarking techniques," Agricultural Water Management, Elsevier, vol. 98(1), pages 1-11, December.
    4. Sheyda Bahoosh & Reza Bahoosh & Ali Haghighi, 2019. "Development of a Self-Adaptive Ant Colony Optimization for Designing Pipe Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(14), pages 4715-4729, November.
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    Cited by:

    1. Chen, Xu & Lu, Qi & Yuan, Ye & He, Kaixun, 2024. "A novel derivative search political optimization algorithm for multi-area economic dispatch incorporating renewable energy," Energy, Elsevier, vol. 300(C).

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