Sizing and scheduling optimisation method for off-grid battery photovoltaic irrigation networks
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Título: | Sizing and scheduling optimisation method for off-grid battery photovoltaic irrigation networks |
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Autor/es: | Pardo Picazo, Miguel Ángel | Navarro-González, Francisco J. |
Grupo/s de investigación o GITE: | Ingeniería Hidráulica y Ambiental (IngHA) | Modelización Matemática de Sistemas |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ingeniería Civil | Universidad de Alicante. Departamento de Matemática Aplicada |
Palabras clave: | Pressurized irrigation networks | Batteries | Energy consumption |
Fecha de publicación: | 18-dic-2023 |
Editor: | Elsevier |
Cita bibliográfica: | Renewable Energy. 2024, 221: 119822. https://doi.org/10.1016/j.renene.2023.119822 |
Resumen: | An algorithm to optimise the number of solar panels and battery size to meet the water demands of an installation has been developed. The algorithm adjusts for seasonal changes in energy use and production in a pressurized irrigation network and production in an off-grid solar panel system. By using this algorithm, we aim to create an efficient and sustainable irrigation system by reducing the infrastructure and reliance on the power grid. This method can enhance irrigation systems in far-off regions, strengthen their endurance, and promote sustainable energy in farming and water administration. |
Patrocinador/es: | This work was supported by the project “Hi-Edu Carbon”"Erasmus Plus Programme, Key Action KA22021, action type (2021-1-SK01-KA220-HED-000023274. |
URI: | http://hdl.handle.net/10045/139291 |
ISSN: | 0960-1481 (Print) | 1879-0682 (Online) |
DOI: | 10.1016/j.renene.2023.119822 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1016/j.renene.2023.119822 |
Aparece en las colecciones: | INV - MMS - Artículos de Revistas INV - IngHA - Artículos de Revistas |
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Archivo | Descripción | Tamaño | Formato | |
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Pardo_Navarro-Gonzalez_2024_RenewableEnergy.pdf | 7,86 MB | Adobe PDF | Abrir Vista previa | |
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