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Optimal allocation of energy sources in hydrogen production for sustainable deployment of electric vehicles

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Optimal allocation of energy sources in hydrogen production for sustainable deployment of electric vehicles

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dc.contributor.author Rubio Montoya, Francisco José es_ES
dc.contributor.author Llopis-Albert, Carlos es_ES
dc.contributor.author Besa Gonzálvez, Antonio José es_ES
dc.date.accessioned 2024-01-11T19:02:40Z
dc.date.available 2024-01-11T19:02:40Z
dc.date.issued 2023-03 es_ES
dc.identifier.issn 0040-1625 es_ES
dc.identifier.uri http://hdl.handle.net/10251/201828
dc.description.abstract [EN] We analyze the use of hydrogen as a fuel for the automotive industry with the aim of decarbonizing the economy. Hydrogen is a suitable option for avoiding pollutant gas emissions, developing environmentally friendly tech-nologies, replacing fossil fuels with clean, renewable energies, and complying with the Paris Agreement and Glasgow resolutions. In this sense, renewable energies such as wind, solar, photovoltaic, geothermal, biomass, etc. can be used to produce the necessary hydrogen to power vehicles. In this way, the entire process from hydrogen production to its consumption as fuel will be 100% clean. If we are to meet future energy demands, it is necessary to forecast the amount of hydrogen needed, taking into account the facilities currently available and new ones that will be required for its generation, storage, and distribution.This paper presents a process for optimizing hydrogen production for the automotive industry that considers the amount of hydrogen needed, the type of facilities from which it will be produced, how the different sources of production are to be combined to achieve a competitive product, and the potential environmental impacts of each energy source. It can serve as a frame of reference for the various actors in the hydropower and automotive industries so that more efficient designs can be planned for the gradual introduction of hydrogen fuel cell ve-hicles (HFCVs).The methodology implemented in this paper sets an optimization problem for minimizing energy production costs and reducing environmental impacts according to the source of energy production. The EU framework with respect to the decarbonization of the economy, the percentages of the different types of energy sources used, and the non-polluting vehicle fleet in the automotive sector will be considered. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Technological Forecasting and Social Change es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Hydrogen production es_ES
dc.subject Electric vehicles (EVs) es_ES
dc.subject Renewable energies es_ES
dc.subject Greenhouse gas (GHG) emissions es_ES
dc.subject Climate change es_ES
dc.subject Optimization es_ES
dc.subject Decarbonizing economy es_ES
dc.subject Green economy es_ES
dc.subject.classification INGENIERIA MECANICA es_ES
dc.title Optimal allocation of energy sources in hydrogen production for sustainable deployment of electric vehicles es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.techfore.2022.122290 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation Rubio Montoya, FJ.; Llopis-Albert, C.; Besa Gonzálvez, AJ. (2023). Optimal allocation of energy sources in hydrogen production for sustainable deployment of electric vehicles. Technological Forecasting and Social Change. 188:1-9. https://doi.org/10.1016/j.techfore.2022.122290 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.techfore.2022.122290 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 9 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 188 es_ES
dc.relation.pasarela S\480310 es_ES
dc.contributor.funder Universitat Politècnica de València


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