IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i5p673-d811353.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/5/673/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/5/673/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    2. Tsolas, Spyridon D. & Karim, M. Nazmul & Hasan, M.M. Faruque, 2018. "Optimization of water-energy nexus: A network representation-based graphical approach," Applied Energy, Elsevier, vol. 224(C), pages 230-250.
    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.
    Full references (including those not matched with items on IDEAS)

    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. Firat Arslan & Juan Ignacio Córcoles Tendero & Juan Antonio Rodríguez Díaz & Demetrio Antonio Zema, 2023. "Comparison of Irrigation Management in Water User Associations of Italy, Spain and Turkey Using Benchmarking Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 55-74, January.
    2. Zhang, S.Q. & Li, Y.P. & Huang, G.H. & Ding, Y.K. & Yang, X., 2023. "Developing a copula-based input-output method for analyzing energy-water nexus of Tajikistan," Energy, Elsevier, vol. 266(C).
    3. Yi Yao & Yifang Zhang & Lixin Tian & Nianxing Zhou & Zhilin Li & Minggang Wang, 2019. "Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    4. Leroy, David, 2023. "An empirical assessment of the institutional performance of community-based water management in a large-scale irrigation system in southern Mexico," Agricultural Water Management, Elsevier, vol. 276(C).
    5. Soto-García, M. & Martínez-Alvarez, V. & García-Bastida, P.A. & Alcon, F. & Martin-Gorriz, B., 2013. "Effect of water scarcity and modernisation on the performance of irrigation districts in south-eastern Spain," Agricultural Water Management, Elsevier, vol. 124(C), pages 11-19.
    6. M. Blokland & R. D. van der Mei & J. F. J. Pruyn & J. Berkhout, 2023. "Literature Survey on Automatic Pipe Routing," SN Operations Research Forum, Springer, vol. 4(2), pages 1-56, June.
    7. Ignacio Lorite & Margarita García-Vila & María-Ascensión Carmona & Cristina Santos & María-Auxiliadora Soriano, 2012. "Assessment of the Irrigation Advisory Services’ Recommendations and Farmers’ Irrigation Management: A Case Study in Southern Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2397-2419, June.
    8. Lima, F.A & Martínez-Romero, A. & Tarjuelo, J.M. & Córcoles, J.I., 2018. "Model for management of an on-demand irrigation network based on irrigation scheduling of crops to minimize energy use (Part I): Model Development," Agricultural Water Management, Elsevier, vol. 210(C), pages 49-58.
    9. Martínez-Alvarez, V. & García-Bastida, P.A. & Martin-Gorriz, B. & Soto-García, M., 2014. "Adaptive strategies of on-farm water management under water supply constraints in south-eastern Spain," Agricultural Water Management, Elsevier, vol. 136(C), pages 59-67.
    10. Araya, Natalia & Ramírez, Yendery & Cisternas, Luis A. & Kraslawski, Andrzej, 2021. "Use of real options to enhance water-energy nexus in mine tailings management," Applied Energy, Elsevier, vol. 303(C).
    11. Kirchem, Dana & Lynch, Muireann Á & Casey, Eoin & Bertsch, Valentin, 2019. "Demand response within the energy-for-water-nexus: A review," Papers WP637, Economic and Social Research Institute (ESRI).
    12. Ding, Tao & Liang, Liang & Zhou, Kaile & Yang, Min & Wei, Yuqi, 2020. "Water-energy nexus: The origin, development and prospect," Ecological Modelling, Elsevier, vol. 419(C).
    13. Zhou, Jun & Zhao, Yunxiang & Fu, Tiantian & Zhou, Xuan & Liang, Guangchuan, 2022. "Dimension optimization for underground natural gas storage pipeline network coupling injection and production conditions," Energy, Elsevier, vol. 256(C).
    14. Xu, Ye & Tan, Junyuan & Wang, Xu & Li, Wei & He, Xing & Hu, Xiaoguang & Fan, Yurui, 2022. "Synergetic management of water-energy-food nexus system and GHG emissions under multiple uncertainties: An inexact fractional fuzzy chance constraint programming method," Agricultural Water Management, Elsevier, vol. 262(C).
    15. Gao, Xuerui & Zhao, Yong & Lu, Shibao & Chen, Qianyun & An, Tingli & Han, Xinxueqi & Zhuo, La, 2019. "Impact of coal power production on sustainable water resources management in the coal-fired power energy bases of Northern China," Applied Energy, Elsevier, vol. 250(C), pages 821-833.
    16. Knox, J.W. & Kay, M.G. & Weatherhead, E.K., 2012. "Water regulation, crop production, and agricultural water management—Understanding farmer perspectives on irrigation efficiency," Agricultural Water Management, Elsevier, vol. 108(C), pages 3-8.
    17. Hasanzadeh Saray, Marzieh & Baubekova, Aziza & Gohari, Alireza & Eslamian, Seyed Saeid & Klove, Bjorn & Torabi Haghighi, Ali, 2022. "Optimization of Water-Energy-Food Nexus considering CO2 emissions from cropland: A case study in northwest Iran," Applied Energy, Elsevier, vol. 307(C).
    18. Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Walmsley, Timothy G. & Jia, Xuexiu, 2018. "New directions in the implementation of Pinch Methodology (PM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 439-468.
    19. Sharifzadeh, Mahdi & Hien, Raymond Khoo Teck & Shah, Nilay, 2019. "China’s roadmap to low-carbon electricity and water: Disentangling greenhouse gas (GHG) emissions from electricity-water nexus via renewable wind and solar power generation, and carbon capture and sto," Applied Energy, Elsevier, vol. 235(C), pages 31-42.
    20. Kirchem, Dana & Lynch, Muireann Á. & Bertsch, Valentin & Casey, Eoin, 2020. "Modelling demand response with process models and energy systems models: Potential applications for wastewater treatment within the energy-water nexus," Applied Energy, Elsevier, vol. 260(C).

    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:gam:jagris:v:12:y:2022:i:5:p:673-:d:811353. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.