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Multistage Bounded Evolutionary Algorithm to Optimize the Design of Sustainable Photovoltaic (PV) Pumping Irrigation Systems with Storage

Author

Listed:
  • Julián Ignacio Monís

    (Department of Applied Physics, University of Córdoba, Campus of Rabanales, 14071 Córdoba, Spain)

  • Rafael López-Luque

    (Department of Applied Physics, University of Córdoba, Campus of Rabanales, 14071 Córdoba, Spain)

  • Juan Reca

    (CIAIMBITAL, Agri-Food Campus of International Excellence CeiA3, Ctra, Department of Engineering, University of Almería, Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain)

  • Juan Martínez

    (CIAIMBITAL, Agri-Food Campus of International Excellence CeiA3, Ctra, Department of Engineering, University of Almería, Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain)

Abstract

Small off-grid photovoltaic (PV) pumping irrigation systems with storage tanks are an environmentally friendly, cost effective and efficient way of taking advantage of solar energy to irrigate crops, and they are increasingly being used today. However, finding the optimal design of this type of system is cumbersome since there are many possible designs. In this work, a new heuristic method based on the hybrid approach, which uses search space reduction, is developed and adapted to the optimal design for this type of PV irrigation system. At different stages, the proposed approach iteratively combines a bounding strategy based on the application of engineering rules with the aim of reducing the search space with a genetic algorithm to find the optimal design within this search space. The proposed methodology was applied to minimize the cost of a benchmark case study consisting of a real farm placed in the province of Almería (Spain). The proposed methodology was able to provide a faster and an accurate convergence due to the reduction of the search space. This fact led to a reduced total cost of the system. This study proved that the most sensitive variables were the number of modules and the type of pump, whereas the diameter of the pipe and volume of the storage tank remained more stable.

Suggested Citation

  • Julián Ignacio Monís & Rafael López-Luque & Juan Reca & Juan Martínez, 2020. "Multistage Bounded Evolutionary Algorithm to Optimize the Design of Sustainable Photovoltaic (PV) Pumping Irrigation Systems with Storage," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:1026-:d:314949
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    Cited by:

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    2. Ludmil Stoyanov & Ivan Bachev & Zahari Zarkov & Vladimir Lazarov & Gilles Notton, 2021. "Multivariate Analysis of a Wind–PV-Based Water Pumping Hybrid System for Irrigation Purposes," Energies, MDPI, vol. 14(11), pages 1-28, May.
    3. Torrente, Cristóbal J. & Reca, Juan & López-Luque, Rafael & Martínez, Juan & Casares, Francisco J., 2024. "Simulation model to analyze the spatial distribution of solar radiation in agrivoltaic Mediterranean greenhouses and its effect on crop water needs," Applied Energy, Elsevier, vol. 353(PA).
    4. D'Agostino, D. & Minelli, F. & D'Urso, M. & Minichiello, F., 2022. "Fixed and tracking PV systems for Net Zero Energy Buildings: Comparison between yearly and monthly energy balance," Renewable Energy, Elsevier, vol. 195(C), pages 809-824.
    5. Javier R. Ledesma & Rita H. Almeida & Luis Narvarte, 2022. "Modeling and Simulation of Multipumping Photovoltaic Irrigation Systems," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    6. Jose Manuel Barrera & Alejandro Reina & Alejandro Maté & Juan Carlos Trujillo, 2020. "Solar Energy Prediction Model Based on Artificial Neural Networks and Open Data," Sustainability, MDPI, vol. 12(17), pages 1-20, August.

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