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Optimization of the electricity generation mix using economic criteria with zero-emissions for stand-alone systems: Case applied to Grand Canary Island in Spain

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Optimization of the electricity generation mix using economic criteria with zero-emissions for stand-alone systems: Case applied to Grand Canary Island in Spain

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dc.contributor.author Vargas-Salgado, Carlos es_ES
dc.contributor.author Berna, C. es_ES
dc.contributor.author Escrivá, A. es_ES
dc.contributor.author Alfonso-Solar, David es_ES
dc.date.accessioned 2023-07-06T18:00:18Z
dc.date.available 2023-07-06T18:00:18Z
dc.date.issued 2022-09 es_ES
dc.identifier.issn 0149-1970 es_ES
dc.identifier.uri http://hdl.handle.net/10251/194718
dc.description.abstract [EN] The extensive use of greenhouse gas-free energy sources is essential to achieve net zero emissions targets in electricity generation by mid-century; if such sources also increase the economic competitiveness by producing cheaper energy, the outlook is even better. With this purpose, the current study presents the combined use of the NuScale design, a promising type of small modular reactor (SMR), along with renewable sources and storage technologies. The widespread use of highly variable generation sources, such as wind and solar PV, poses sig-nificant challenges in trying to match electricity generation and demand. Therefore, more reliable generation sources and/or storage technologies combined with these highly volatile sources are necessary to meet the de-mand with guarantees and affordable costs. This issue is even more pronounced in isolated regions, such as islands, where at least one more reliable generation source and/or substantial energy storage capacity is required. The system, in many cases, is autonomous and needs to be 100% self-sufficient. Furthermore, to achieve the future goal of zero greenhouse gas emissions, it is necessary to eliminate fossil fuels in all areas, particularly in power generation, which significantly contributes to the total greenhouse gas emissions. There-fore, developing techniques to assess the feasibility of the combined use of different carbon-free technologies is required. Using renewable energies with nuclear energy coupled with storage technologies is a very good pos-sibility to achieve these objectives. It was, in all likelihood, the best option in the case of isolated locations where the system must be self-sufficient precisely because of its isolation. The use of nuclear energy is a key part of the analysis if there is no reliable energy capable of covering approximately the off-peak demand, the rest of the systems will have to be greatly oversized, i.e., the power to be installed from renewables and/or storage will be unaffordable. Therefore, it is very useful to study these problems, especially in the case of islands. Specifically, this analysis has been applied to the Island of Grand Canary in Spain. This island has about 1500 km2 and nearly one million inhabitants, with a off-peak electricity demand of about 250 MW and a peak demand value of about 500 MW. The software HOMER was used to analyze and compare different alternatives, estimating the best combination to get the lower Levelized Cost Of Energy (LCOE). The system's total initial investment cost is 1968 Meuro, the LCOE is 7.8 ceuro/kWh (25 years), and the payback is around 6.4 years. es_ES
dc.description.sponsorship This work was supported in part by the Institute for Energy Engineering, Universitat Politecnica de Valencia. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Progress in Nuclear Energy es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Stand-alone electricity generation es_ES
dc.subject Zero -emissions es_ES
dc.subject Economic competitiveness es_ES
dc.subject Renewable energy es_ES
dc.subject Small modular reactor es_ES
dc.subject Storage technologies es_ES
dc.subject Mathematical optimization modelling es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification INGENIERIA NUCLEAR es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Optimization of the electricity generation mix using economic criteria with zero-emissions for stand-alone systems: Case applied to Grand Canary Island in Spain es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.pnucene.2022.104329 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//CIGE%2F2021%2F172//Modelado, experimentación y desarrollo de sistemas de gestión óptima para microrredes híbridas renovables/ es_ES
dc.rights.accessRights Abierto 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. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.description.bibliographicCitation Vargas-Salgado, C.; Berna, C.; Escrivá, A.; Alfonso-Solar, D. (2022). Optimization of the electricity generation mix using economic criteria with zero-emissions for stand-alone systems: Case applied to Grand Canary Island in Spain. Progress in Nuclear Energy. 151:1-13. https://doi.org/10.1016/j.pnucene.2022.104329 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.pnucene.2022.104329 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 13 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 151 es_ES
dc.relation.pasarela S\468863 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.subject.ods 07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos es_ES
dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES


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