An irrigation scheduling algorithm for sustainable energy consumption in pressurised irrigation networks supplied by photovoltaic modules
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Título: | An irrigation scheduling algorithm for sustainable energy consumption in pressurised irrigation networks supplied by photovoltaic modules |
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Autor/es: | Navarro-González, Francisco J. | Pardo Picazo, Miguel Ángel | Chabour, Houssem Eddine | Alskaif, Tarek |
Grupo/s de investigación o GITE: | Modelización Matemática de Sistemas | Ingeniería Hidráulica y Ambiental (IngHA) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Matemática Aplicada | Universidad de Alicante. Departamento de Ingeniería Civil |
Palabras clave: | Irrigation management strategy | Solar photovoltaics energy | Algorithm design | Energy consumption |
Fecha de publicación: | 10-mar-2023 |
Editor: | Springer Nature |
Cita bibliográfica: | Clean Technologies and Environmental Policy. 2023, 25: 2009-2024. https://doi.org/10.1007/s10098-023-02486-3 |
Resumen: | To meet water demands, pressurised irrigation networks often need pumping devices, whose power demand varies with the pump head, the flow rate delivered and the pump efficiency. To satisfy the energy demand of pumps, solar photovoltaic panels can be used as a renewable energy source. Since the electricity supply of a solar photovoltaics plant depends on irradiance, the energy that powers the pump varies with the time of the day. This study presents a strategy for scheduling water delivery by irrigation pumps, synchronising energy production in solar photovoltaic modules and minimising the installation size. An optimisation algorithm is proposed, which changes the energy required by pumping devices and adjusts them to the available solar energy supply, minimising the number of panels required. This problem applies to a pressurised irrigation network, where the utility manager may irrigate crops at all hours of the day. By adopting the proposed algorithm, irrigation will follow a rigid rotation schedule to follow the new irrigation plan. This approach improves earlier studies by employing a least-square scheduling algorithm with little computing time. This results in a tool for managers and decision-makers when evaluating the possibility of converting their irrigation network into a stand-alone system supplied by photovoltaic panels. A case study handling this issue in the University of Alicante’s pressurised irrigation network in Spain is proposed to find potential energy savings by connecting the recommended scheduling irrigating plan to the present operation. |
Patrocinador/es: | Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported by the research project “DESENREDA” through the 2021 call “Estancias de movilidad en el extranjero Jose Castillejo” of the Ministerio de Universidades (CAS21/00085) and for the project “Hi-Edu Carbon” Erasmus Plus Programme, Key Action KA22021, action type (2021–1-SK01-KA220-HED-000023274. |
URI: | http://hdl.handle.net/10045/132706 |
ISSN: | 1618-954X (Print) | 1618-9558 (Online) |
DOI: | 10.1007/s10098-023-02486-3 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1007/s10098-023-02486-3 |
Aparece en las colecciones: | INV - MMS - Artículos de Revistas INV - IngHA - Artículos de Revistas |
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Navarro-Gonzalez_etal_2023_CleanTechnEnvironPolicy.pdf | 3,26 MB | Adobe PDF | Abrir Vista previa | |
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