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Article

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

1
Department of Applied Physics, University of Córdoba, Campus of Rabanales, 14071 Córdoba, Spain
2
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
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(3), 1026; https://doi.org/10.3390/su12031026
Received: 16 January 2020 / Revised: 27 January 2020 / Accepted: 28 January 2020 / Published: 31 January 2020
(This article belongs to the Special Issue Sustainable Irrigation System)
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. View Full-Text
Keywords: irrigation; photovoltaic irrigation; optimization; irrigation design; pumping; storage irrigation; photovoltaic irrigation; optimization; irrigation design; pumping; storage
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MDPI and ACS Style

Monís, J.I.; López-Luque, R.; Reca, J.; Martínez, J. Multistage Bounded Evolutionary Algorithm to Optimize the Design of Sustainable Photovoltaic (PV) Pumping Irrigation Systems with Storage. Sustainability 2020, 12, 1026. https://doi.org/10.3390/su12031026

AMA Style

Monís JI, López-Luque R, Reca J, Martínez J. Multistage Bounded Evolutionary Algorithm to Optimize the Design of Sustainable Photovoltaic (PV) Pumping Irrigation Systems with Storage. Sustainability. 2020; 12(3):1026. https://doi.org/10.3390/su12031026

Chicago/Turabian Style

Monís, Julián I., Rafael López-Luque, Juan Reca, and Juan Martínez. 2020. "Multistage Bounded Evolutionary Algorithm to Optimize the Design of Sustainable Photovoltaic (PV) Pumping Irrigation Systems with Storage" Sustainability 12, no. 3: 1026. https://doi.org/10.3390/su12031026

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