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dc.contributor.author | Carricondo-Antón, Juan Manuel![]() |
es_ES |
dc.contributor.author | Jiménez Bello, Miguel Angel![]() |
es_ES |
dc.contributor.author | Manzano Juarez, Juan![]() |
es_ES |
dc.contributor.author | Royuela, Alvaro![]() |
es_ES |
dc.contributor.author | Sala, Antonio![]() |
es_ES |
dc.date.accessioned | 2023-06-06T18:01:49Z | |
dc.date.available | 2023-06-06T18:01:49Z | |
dc.date.issued | 2022-05 | es_ES |
dc.identifier.issn | 0378-3774 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/193914 | |
dc.description.abstract | [EN] The modernization process in irrigation has generated a higher energy demand. Due to this problem, the ongoing increase in energy tariffs, and the reduction in manufacturing costs of photovoltaic (PV)panels, there has been an increased use of renewable energies, such as PV energy, to power the pumping equipment involved in pressurized irrigation. On direct pumping, the available solar power can be lower than that required by the pumping units. This fact can result in stoppages that can produce unwanted transient effects or even the emptying of the network. To avoid these phenomena and reduce the use of conventional energy, a methodology is proposed in this work, whereby meteorological predictions, corrected with a Kalman filter, are used to calculate the available PV power,irrigation needs, and maintaining soil moisture above desirable levels for the crop by minimizing deep percolation. This methodology is then compared to the traditional scheduling method that uses historical data and replaces the crop¿s evapotranspiration that occurs in a given time period.The methodology was applied to a real case study during an irrigation campaign, which was simulated using a weekly operative period. It was found that the use of meteorological predictions allowed PV energy consumption estimates to be improved from 68.7% to 79.3%, while the use of available photovoltaic energy in the case study increased from 11.64% to 13.37%. | es_ES |
dc.description.sponsorship | Sala is grateful to the support of grant PID2020-116585GB-I00 from Agencia Espanola de Investigacion (Spanish government and European Union). This study has been partially supported by the ADAPTAMED project (RTI2018-101483-B-I00), funded by the Ministerio de Ciencia e Innovacion of Spain and with EU FEDER funds. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Agricultural Water Management | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Photovoltaic irrigation | es_ES |
dc.subject | Predicting irrigation needs | es_ES |
dc.subject | Precision irrigation | es_ES |
dc.subject | Energy availability | es_ES |
dc.subject | PVOI | es_ES |
dc.subject.classification | INGENIERIA HIDRAULICA | es_ES |
dc.subject.classification | INGENIERIA AGROFORESTAL | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Evaluating the use of meteorological predictions in directly pumped irrigational operations using photovoltaic energy | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.agwat.2022.107596 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116585GB-I00/ES/APRENDIZAJE, CONTROL OPTIMO Y PLANIFICACION BAJO INCERTIDUMBRE EN APLICACIONES INDUSTRIALES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-101483-B-I00/ES/PLANIFICACION, DISEÑO Y EVALUACION DE LA ADAPTACION DE CUENCAS MEDITERRANEAS A ESCENARIOS SOCIOECONOMICOS Y DE CAMBIO CLIMATICO/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural | es_ES |
dc.description.bibliographicCitation | Carricondo-Antón, JM.; Jiménez Bello, MA.; Manzano Juarez, J.; Royuela, A.; Sala, A. (2022). Evaluating the use of meteorological predictions in directly pumped irrigational operations using photovoltaic energy. Agricultural Water Management. 266:1-15. https://doi.org/10.1016/j.agwat.2022.107596 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.agwat.2022.107596 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 15 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 266 | es_ES |
dc.relation.pasarela | S\459279 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |