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Comprehensive sizing methodology of smart photovoltaic irrigation systems

Author

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  • Mérida García, A.
  • González Perea, R.
  • Camacho Poyato, E.
  • Montesinos Barrios, P.
  • Rodríguez Díaz, J.A.

Abstract

The use of photovoltaic (PV) energy in irrigation is increasing its relevance as energy source in irrigated agriculture. The main reason relays on its economic and environmental benefits, compared to traditional options. To reduce economic, materials and energy requirements of PV irrigation systems, its design and dimensioning should be optimal. In this work, we developed the model MOPISS (Model for Optimal Photovoltaic Irrigation System Sizing) focussed on the selection of pipe diameters and PV plant dimensioning, optimizing jointly the investment cost and operation of the system. MOPISS, developed in MATLAB™, integrated a customized version of the Non-dominated Sorting Genetic Algorithm (NSGA-II) with two objective functions, aimed at searching the optimal sizing of the irrigation network and PV plant. The results showed a series of solutions with optimal hydrants grouping in sectors, pipe diameters and PV plant size. MOPISS was applied to a real case study obtaining solutions which satisfied 96 % of the irrigation requirements while saved cost between 22.9 and 38.2 % over the total investment cost, compared with the original design. MOPISS is a useful tool to produce optimal designs of sizing new PV irrigation system under a comprehensive approach that considers crop, water and energy availability and network layout.

Suggested Citation

  • Mérida García, A. & González Perea, R. & Camacho Poyato, E. & Montesinos Barrios, P. & Rodríguez Díaz, J.A., 2020. "Comprehensive sizing methodology of smart photovoltaic irrigation systems," Agricultural Water Management, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:agiwat:v:229:y:2020:i:c:s0378377419316646
    DOI: 10.1016/j.agwat.2019.105888
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    References listed on IDEAS

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    1. Ramli, Makbul A.M. & Bouchekara, H.R.E.H. & Alghamdi, Abdulsalam S., 2018. "Optimal sizing of PV/wind/diesel hybrid microgrid system using multi-objective self-adaptive differential evolution algorithm," Renewable Energy, Elsevier, vol. 121(C), pages 400-411.
    2. I. Fernández García & P. Montesinos & E. Camacho Poyato & J. A. Rodríguez Díaz, 2017. "Optimal Design of Pressurized Irrigation Networks to Minimize the Operational Cost under Different Management Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 1995-2010, April.
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    6. Ghavidel, Sahand & Aghaei, Jamshid & Muttaqi, Kashem M. & Heidari, Alireza, 2016. "Renewable energy management in a remote area using Modified Gravitational Search Algorithm," Energy, Elsevier, vol. 97(C), pages 391-399.
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    1. Juan Ignacio Herraiz & Rita Hogan Almeida & Manuel Castillo-Cagigal & Luis Narvarte, 2023. "Experimental Performance Evaluation of a PV-Powered Center-Pivot Irrigation System for a Three-Year Operation Period," Energies, MDPI, vol. 16(9), pages 1-19, April.

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