Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/jspui/handle/10553/157545
Campo DC Valoridioma
dc.contributor.authorMoscoloni, Claudioen_US
dc.contributor.authorGorr-Pozzi, Emilianoen_US
dc.contributor.authorCorrales-González, Manuelen_US
dc.contributor.authorGarcía Mendoza, Adrianaen_US
dc.contributor.authorGarcía-Nava, Héctoren_US
dc.contributor.authorVillalba Cabrera, Isabelen_US
dc.contributor.authorGiorgi, Giuseppeen_US
dc.contributor.authorGuarniz Avalos, Gustavoen_US
dc.contributor.authorRojas, Rodrigoen_US
dc.contributor.authorLafoz, Marcosen_US
dc.date.accessioned2026-02-09T15:44:58Z-
dc.date.available2026-02-09T15:44:58Z-
dc.date.issued2026en_US
dc.identifier.issn1996-1073en_US
dc.identifier.otherScopus-
dc.identifier.urihttps://accedacris.ulpgc.es/jspui/handle/10553/157545-
dc.description.abstractThe energy transition in Ibero-American countries demands significant diversification, yet the vast potential of offshore renewable energies (ORE) remains largely untapped. Slow adoption is often attributed to the hostile marine environment, high investment costs, and a lack of institutional, regulatory, and industrial readiness. A critical barrier for policymakers is the absence of methodologically robust tools to assess national preparedness. Existing indices typically rely on simplistic weighting schemes or are susceptible to known flaws, such as the rank reversal phenomenon, which undermines their credibility for strategic decision-making. This study addresses this gap by developing a multi-criteria decision-making (MCDM) framework based on a problem-specific synthesis of established optimization principles to construct a comprehensive Offshore Readiness Index (ORI) for 13 Ibero-American countries. The framework moves beyond traditional methods by employing an advanced weight-elicitation model rooted in the Robust Ordinal Regression (ROR) paradigm to analyze 42 sub-criteria across five domains: Regulation, Planning, Resource, Industry, and Grid. Its methodological core is a non-linear objective function that synergistically combines a Shannon entropy term to promote a maximally unbiased weight distribution and to prevent criterion exclusion, with an epistemic regularization penalty that anchors the solution to expert-derived priorities within each domain. The model is guided by high-level hierarchical constraints that reflect overarching policy assumptions, such as the primacy of Regulation and Planning, thereby ensuring strategic alignment. The resulting ORI ranks Spain first, followed by Mexico and Costa Rica. Spain’s leadership is underpinned by its exceptional performance in key domains, supported by specific enablers, such as a dedicated renewable energy roadmap. The optimized block weights validate the model’s structure, with Regulation (0.272) and Electric Grid (0.272) receiving the highest importance. In contrast, lower-ranked countries exhibit systemic deficiencies across multiple domains. This research offers a dual contribution: methodological innovation in readiness assessment and an actionable tool for policy instruments. The primary policy conclusion is clear: robust regulatory frameworks and strategic planning are the pivotal enabling conditions for ORE development, while industrial capacity and infrastructure are consequent steps that must follow, not precede, a solid policy foundation.en_US
dc.languageengen_US
dc.relation.ispartofEnergiesen_US
dc.sourceEnergies [EISSN 1996-1073], v. 19 (2), (Enero 2026)en_US
dc.subject3308 Ingeniería y tecnología del medio ambienteen_US
dc.subject.otherEnergy Policyen_US
dc.subject.otherIbero-Americaen_US
dc.subject.otherMulti-Criteria Decision-Makingen_US
dc.subject.otherOffshore Readiness Indexen_US
dc.subject.otherOffshore Renewable Energiesen_US
dc.subject.otherRobust Ordinal Regressionen_US
dc.titleAnalysis of Technological Readiness Indexes for Offshore Renewable Energies in Ibero-American Countriesen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/en19020370en_US
dc.identifier.scopus105028708100-
dc.contributor.orcid0000-0003-3428-0648-
dc.contributor.orcid0000-0002-9456-774X-
dc.contributor.orcid0000-0001-7999-6290-
dc.contributor.orcid0009-0008-8731-5940-
dc.contributor.orcid0000-0002-8077-4676-
dc.contributor.orcid0000-0002-9225-4686-
dc.contributor.orcid0000-0002-1649-9438-
dc.contributor.orcid0000-0002-4264-0378-
dc.contributor.orcid0000-0002-3881-9076-
dc.contributor.orcid0000-0002-8196-8958-
dc.contributor.authorscopusid57204919540-
dc.contributor.authorscopusid57194249804-
dc.contributor.authorscopusid58310878900-
dc.contributor.authorscopusid58669483100-
dc.contributor.authorscopusid56013681900-
dc.contributor.authorscopusid57201433420-
dc.contributor.authorscopusid57194196298-
dc.contributor.authorscopusid60341088700-
dc.contributor.authorscopusid58669345200-
dc.contributor.authorscopusid16068384900-
dc.identifier.eissn1996-1073-
dc.identifier.issue2-
dc.relation.volume19en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.description.numberofpages30en_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2026en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
dc.description.sjr0,713
dc.description.jcr3,2
dc.description.sjrqQ1
dc.description.jcrqQ3
dc.description.scieSCIE
dc.description.miaricds10,6
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR Fabricación integrada y avanzada-
crisitem.author.deptDepartamento de Ingeniería Eléctrica-
crisitem.author.parentorgDepartamento de Ingeniería Mecánica-
crisitem.author.fullNameGarcía Mendoza, Adriana-
crisitem.author.fullNameVillalba Cabrera, Isabel-
Colección:Artículos
Adobe PDF (1,13 MB)
Vista resumida

Citas de WEB OF SCIENCETM
Citations

1
actualizado el 24-may-2026

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.