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Methodology to improve water and energy use by proper irrigation scheduling in pressurised networks

Author

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  • Jiménez-Bello, M.A.
  • Royuela, A.
  • Manzano, J.
  • Prats, A. García
  • Martínez-Alzamora, F.

Abstract

With the aim of reducing energy consumption and improving water use in pressurised irrigation systems, the methodology to minimise energy consumption by grouping intakes of pressurised irrigation networks into sectors, as developed by Jimenez-Bello et al. (2010b), was modified to enable irrigation intakes to operate during the scheduled period for each intake instead of operating during restricted irrigation periods of the same length. Moreover, a method was developed to detect the maximum number of intakes that can operate without extra energy if the source has sufficient head to feed at least some of the intakes.

Suggested Citation

  • Jiménez-Bello, M.A. & Royuela, A. & Manzano, J. & Prats, A. García & Martínez-Alzamora, F., 2015. "Methodology to improve water and energy use by proper irrigation scheduling in pressurised networks," Agricultural Water Management, Elsevier, vol. 149(C), pages 91-101.
    • Handle: RePEc:eee:agiwat:v:149:y:2015:i:c:p:91-101
    DOI: 10.1016/j.agwat.2014.10.026
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    References listed on IDEAS

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    1. I. Fernández García & J. Rodríguez Díaz & E. Camacho Poyato & P. Montesinos, 2013. "Optimal Operation of Pressurized Irrigation Networks with Several Supply Sources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2855-2869, June.
    2. Jackson, Tamara M. & Khan, Shahbaz & Hafeez, Mohsin, 2010. "A comparative analysis of water application and energy consumption at the irrigated field level," Agricultural Water Management, Elsevier, vol. 97(10), pages 1477-1485, October.
    3. Jiménez-Bello, Miguel Ángel & Alzamora, Fernando Martínez & Castel, Juan Ramón & Intrigliolo, Diego S., 2011. "Validation of a methodology for grouping intakes of pressurized irrigation networks into sectors to minimize energy consumption," Agricultural Water Management, Elsevier, vol. 102(1), pages 46-53.
    4. Ortega, J.F. & de Juan, J.A. & Tarjuelo, J.M., 2005. "Improving water management: The irrigation advisory service of Castilla-La Mancha (Spain)," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 37-58, August.
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    1. Alonso Campos, J.C. & Jiménez-Bello, M.A. & Martínez Alzamora, F., 2020. "Real-time energy optimization of irrigation scheduling by parallel multi-objective genetic algorithms," Agricultural Water Management, Elsevier, vol. 227(C).
    2. Modesto Pérez-Sánchez & P. Amparo López-Jiménez & Helena M. Ramos, 2018. "Modified Affinity Laws in Hydraulic Machines towards the Best Efficiency Line," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 829-844, February.
    3. Zhang, Xiaohong & Qi, Yan & Wang, Yanqing & Wu, Jun & Lin, Lili & Peng, Hong & Qi, Hui & Yu, Xiaoyu & Zhang, Yanzong, 2016. "Effect of the tap water supply system on China's economy and energy consumption, and its emissions’ impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 660-671.
    4. Córcoles, J.I. & Tarjuelo, J.M. & Moreno, M.A., 2016. "Pumping station regulation in on-demand irrigation networks using strategic control nodes," Agricultural Water Management, Elsevier, vol. 163(C), pages 48-56.
    5. García-Prats, Alberto & Guillem-Picó, Santiago, 2016. "Adaptation of pressurized irrigation networks to new strategies of irrigation management: Energy implications of low discharge and pulsed irrigation," Agricultural Water Management, Elsevier, vol. 169(C), pages 52-60.
    6. Omid Abrishambaf & Pedro Faria & Zita Vale & Juan M. Corchado, 2019. "Energy Scheduling Using Decision Trees and Emulation: Agriculture Irrigation with Run-of-the-River Hydroelectricity and a PV Case Study," Energies, MDPI, vol. 12(20), pages 1-21, October.
    7. Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2016. "Model predictive control strategy of energy-water management in urban households," Applied Energy, Elsevier, vol. 179(C), pages 821-831.
    8. Juan Córcoles & José Tarjuelo & Pedro Carrión & Miguel Moreno, 2015. "Methodology to Minimize Energy Costs in an On-Demand Irrigation Network Based on Arranged Opening of Hydrants," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3697-3710, August.
    9. Pérez-Sánchez, Modesto & Sánchez-Romero, Francisco Javier & López-Jiménez, P. Amparo & Ramos, Helena M., 2018. "PATs selection towards sustainability in irrigation networks: Simulated annealing as a water management tool," Renewable Energy, Elsevier, vol. 116(PA), pages 234-249.
    10. Fouial, Abdelouahid & Fernández García, Irene & Bragalli, Cristiana & Brath, Armando & Lamaddalena, Nicola & Rodríguez Diaz, Juan Antonio, 2017. "Optimal operation of pressurised irrigation distribution systems operating by gravity," Agricultural Water Management, Elsevier, vol. 184(C), pages 77-85.

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