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dc.contributor.authorVelaz Acera, Néstor 
dc.contributor.authorCasado-Lorenzo, Victor
dc.contributor.authorHernández-Herráez, Gustavo
dc.contributor.authorSáez Blázquez, Cristina 
dc.contributor.authorLagüela López, Susana 
dc.date.accessioned2026-04-07T11:33:21Z
dc.date.available2026-04-07T11:33:21Z
dc.date.issued2025-02-15
dc.identifier.issn0196-8904
dc.identifier.urihttp://hdl.handle.net/10366/170864
dc.description.abstract[EN] Renewable hydrogen is an emerging solution to the need for decarbonization of the current society, with local deployments being at the core of most implementations. It is currently in early stage of implementation, so there are not many previous experiences to standardize decision-making and the most relevant criteria. However, the lack of experts in the field of renewable hydrogen makes it difficult to design an optimal value chain. For this reason, this paper proposes a specific framework based on Geographic Information Systems, Multi-Criteria Decision Analysis and Intelligent Optimization (specifically two Genetic Algorithms denoted as Methods A and B) for the decision-making regarding the selection of optimal sites for the implementation of the renewable energy value chain from a holistic perspective; that is, considering topographic, economic, social, environmental, and demand criteria. The proposed framework is validated through the comparison of its results with those of the most extended methods in the state of the art. The results show that the application of the proposed framework implies an increase in accuracy in the determination of the locations with the highest Land Suitability Index for the renewable hydrogen value chain. Specifically, an increase in accuracy of 1.35 % (Method A) and 3.25 % (Method B) is observed with respect to the most widely used method in the literature: Analytic Hierarchy Process. Spain has been selected as a case study to validate the applicability of the proposed framework, which has facilitated the identification the optimal municipalities for the local implementation of renewable hydrogen in the country. It has been demonstrated that of the 60 projects in advanced levels of development, 87% (50 projects) have a high level of Land Suitability Index placing them in the first quartile of the ranking. In terms of investment, these projects represent around €468 million (87.7 %). It can therefore be concluded that the renewable hydrogen financing strategy of Spain can be slightly improved with the results of the proposed framework.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.subjectRenewable Hydrogenes_ES
dc.subjectGeographic Information Systemes_ES
dc.subjectIntelligent optimizationes_ES
dc.subjectMulti-Criteria Decision Analysises_ES
dc.subjectOptimal site selectiones_ES
dc.titleAdvancing renewable hydrogen deployment: A web geographic information system and Artificial Intelligent approach to site optimizationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://www.sciencedirect.com/science/article/pii/S0196890425000433#ak005es_ES
dc.identifier.doi10.1016/j.enconman.2025.119520
dc.relation.projectIDMIA.2021.M01.0004.E24es_ES
dc.relation.projectIDTED2021-130869B-I00es_ES
dc.relation.projectIDRYC2021-034720-Ies_ES
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.journal.titleEnergy Conversion and Managementes_ES
dc.volume.number326es_ES
dc.page.initial119520es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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