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PATs selection towards sustainability in irrigation networks: Simulated annealing as a water management tool

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  • Pérez-Sánchez, Modesto
  • Sánchez-Romero, Francisco Javier
  • López-Jiménez, P. Amparo
  • Ramos, Helena M.

Abstract

Irrigation networks involve many water and energy aspects, in which the sustainability plays a paramount role. Nowadays, water tariff in irrigation networks represents a high percentage within of farmers' costs, partially due to the low hydraulic and energy efficiency. The installation of pumps working as turbines enables to reduce the pressure and it makes possible the energy generation. In this research, a new maximization methodology to recover energy, considering the feasibility of the installation, was proposed to allocate PATs within networks. Simulated annealing techniques were used with different objective functions as well as different number of machines. Once the maximum energy lines were defined, real machines were selected through the discharge and the head number, considering the available net head in each allocation. Furthermore, the use of WaterGEMS® software enabled to simulate the flow, the pressure and the efficiency variation in the installed machine over time. The combined use of WaterGEMS® and the simulated annealing in the proposed methodology is a powerful water management tool towards the search of the sustainability in irrigation networks. To illustrate the proposed methodology, a case study was presented, obtaining a recovered energy of 26.51 MW h/year (10% of the provided energy in the network).

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:116:y:2018:i:pa:p:234-249
    DOI: 10.1016/j.renene.2017.09.060
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    References listed on IDEAS

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    8. Irene Samora & Mário Franca & Anton Schleiss & Helena Ramos, 2016. "Simulated Annealing in Optimization of Energy Production in a Water Supply Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1533-1547, March.
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    1. 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.
    2. Maria Castorino, Giulia Anna & Manservigi, Lucrezia & Barbarelli, Silvio & Losi, Enzo & Venturini, Mauro, 2023. "Development and validation of a comprehensive methodology for predicting PAT performance curves," Energy, Elsevier, vol. 274(C).
    3. Mariana Simão & Modesto Pérez-Sánchez & Armando Carravetta & Helena M. Ramos, 2019. "Flow Conditions for PATs Operating in Parallel: Experimental and Numerical Analyses," Energies, MDPI, vol. 12(5), pages 1-19, March.
    4. Vincent F. Yu & Shih-Wei Lin & Panca Jodiawan & Yu-Chi Lai, 2023. "Solving the Flying Sidekick Traveling Salesman Problem by a Simulated Annealing Heuristic," Mathematics, MDPI, vol. 11(20), pages 1-21, October.
    5. Filipe C. Madeira & João F. P. Fernandes & Modesto Pérez-Sánchez & P. Amparo López-Jiménez & Helena M. Ramos & P. J. Costa Branco, 2020. "Electro-Hydraulic Transient Regimes in Isolated Pumps Working as Turbines with Self-Excited Induction Generators," Energies, MDPI, vol. 13(17), pages 1-23, September.
    6. Ávila, Carlos Andrés Macías & Sánchez-Romero, Francisco-Javier & López-Jiménez, P. Amparo & Pérez-Sánchez, Modesto, 2021. "Optimization tool to improve the management of the leakages and recovered energy in irrigation water systems," Agricultural Water Management, Elsevier, vol. 258(C).
    7. Venturini, Mauro & Manservigi, Lucrezia & Alvisi, Stefano & Simani, Silvio, 2018. "Development of a physics-based model to predict the performance of pumps as turbines," Applied Energy, Elsevier, vol. 231(C), pages 343-354.
    8. Renzi, Massimiliano & Nigro, Alessandra & Rossi, Mosè, 2020. "A methodology to forecast the main non-dimensional performance parameters of pumps-as-turbines (PaTs) operating at Best Efficiency Point (BEP)," Renewable Energy, Elsevier, vol. 160(C), pages 16-25.
    9. Mercedes Garcia, Angel V. & Sánchez-Romero, Francisco Javier & López-Jiménez, P. Amparo & Pérez-Sánchez, Modesto, 2022. "A new optimization approach for the use of hybrid renewable systems in the search of the zero net energy consumption in water irrigation systems," Renewable Energy, Elsevier, vol. 195(C), pages 853-871.

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