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dc.creatorGonzález Moreno, Alejandroes_ES
dc.creatorMarcos Álvarez, Javieres_ES
dc.creatorParra Laita, Íñigo de laes_ES
dc.creatorMarroyo Palomo, Luises_ES
dc.date.accessioned2022-08-03T12:37:50Z
dc.date.available2022-08-03T12:37:50Z
dc.date.issued2022
dc.identifier.citationGonzalez-Moreno, A.; Marcos, J.; de-la-Parra, I.; Marroyo, L. (2022). A PV ramp-rate control strategy to extend battery lifespan using forecasting. Applied Energy. 323,en
dc.identifier.issn0306-2619
dc.identifier.urihttps://hdl.handle.net/2454/43690
dc.description.abstractThis study analyses and presents a new ramp-rate control algorithm for smoothing PV power fluctuations, designed to address three fundamental objectives: to reduce battery cycling, to meet minimum storage requirements and to be able to operate, without ramp-rate violations, with real publicly-available forecasting. The algorithm was compared to three benchmark methods and, as a performance limit, also to a hypothetical perfect prediction. Different performance variables were analyzed for all the strategies within a restricted ramp-rate constraint (2%/min): minimum storage requirement, battery power distributions, throughput energy, state of charge (SOC) distributions, degradation (calendar and cycling), expected battery lifespan and levelized cost of energy (LCOE). The proposal proves to be the most cost-effective smoothing technique and the simulation results show that its performance is comparable to the obtained with the use of an assumed perfect prediction.en
dc.description.sponsorshipSupport of the Spanish State Research Agency (AEI) under grants PID2019111262RB-I00 and PID2019-110816RB-C21. Open access funding provided by Universidad Pública de Navarra.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofApplied Energy, 2022, 323en
dc.rights© 2022 The Authors. This is an open access article under the CC BY-NC-ND license http://creativecommons.org/licenses/bync-nd/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/bync-nd/4.0/
dc.subjectPV fluctuationsen
dc.subjectPV smoothingen
dc.subjectRamp-rate limitationen
dc.subjectEnergy storage Systems (ESS)en
dc.subjectPV integrationen
dc.subjectLevelized Cost of Energy (LCOE)en
dc.titleA PV ramp-rate control strategy to extend battery lifespan using forecastingen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.date.updated2022-08-03T11:24:53Z
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritzaeu
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.doi10.1016/j.apenergy.2022.119546
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111262RB-I00/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110816RB-C21/ES/en
dc.relation.publisherversionhttps://doi.org/10.1016/j.apenergy.2022.119546
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes


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© 2022 The Authors. This is an open access article under the CC BY-NC-ND license http://creativecommons.org/licenses/bync-nd/4.0/
Except where otherwise noted, this item's license is described as © 2022 The Authors. This is an open access article under the CC BY-NC-ND license http://creativecommons.org/licenses/bync-nd/4.0/

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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