Application of modern portfolio theory to the European electricity mix: an assessment of environmentally optimal scenarios

UDC.coleccionInvestigaciónes_ES
UDC.departamentoEmpresaes_ES
UDC.grupoInvGrupo de Investigación en Regulación, Economía e Finanzas (GREFIN)es_ES
UDC.institutoCentroCITENI - Centro de Investigación en Tecnoloxías Navais e Industriaises_ES
UDC.institutoCentroCIF - Campus Industrial de Ferroles_ES
UDC.institutoCentroInstituto Universitario de Medio Ambientees_ES
UDC.journalTitleEnvironment, Development and Sustainabilityes_ES
dc.contributor.authorDeLlano-Paz, Fernando
dc.contributor.authorCartelle Barros, Juan José
dc.contributor.authorMartínez-Fernández, Paulino
dc.date.accessioned2023-04-28T07:16:49Z
dc.date.available2023-04-28T07:16:49Z
dc.date.issued2024
dc.description.abstract[Abstract] The proposed study analyzes the efciency of the European energy mix of electricity generation technologies from two perspectives: environmental and economic. The context is that of European energy dependence and a technology mix conditioned by the import of fossil fuels. The impact is centered, among other elements, on the leakage of national income and the emission of polluting gases. The aim is to determine the participation that each type of power plant in each country should present in order to minimize the total environmental impact. In order to solve this problem, a double optimization is proposed through the use of two methodologies: one based on a multi-criteria decision-making method (MCDM) model with which to evaluate the environmental performance of each power plant, and a second optimization based on a quadratic model of portfolios modern portfolio theory (MPT), with which to evaluate the efciency of the portfolio of technologies from the cost/risk binomial. The results confrm that an environmentally efcient portfolio leads to higher levels of economic risk-taking, with a slight increase in the level of assumed cost. Nevertheless, from the results obtained, it is possible to say that hydro (with a share between 11 and 13%) and wind (37–44% mix participation) technologies resulted to be preferred options both environmentally and in terms of minimum risk efciency. Nuclear power generation stands out as one of the main baseload technologies with shares between 25 and 35% in environmental and cost/risk efciency. As main fndings, Hydro, supercritical lignite, solar PV and wind are identifed as preferential technologies to be present in both minimum risk and minimum cost efcient portfolios. In case European Union pursues for minimizing the cost of electricity production, the shares of supercritical lignite, nuclear, solar PV and wind energy go up to the maximum allowed limits. The novelty lies in the application of both methodologies with which to complement the analysis and design efcient portfolios of energy technologies from environmental and economic points of view. One possible future approach would be to assess (with the MPT model) new environmentally optimal portfolios obtained through the application of other MCDM techniques.es_ES
dc.identifier.citationDeLlano-Paz, F., Cartelle-Barros, J.J. & Martínez-Fernández, P. Application of modern portfolio theory to the European electricity mix: an assessment of environmentally optimal scenarios. Environ Dev Sustain 26, 15001–15029 (2024). https://doi.org/10.1007/s10668-023-03232-xes_ES
dc.identifier.issn1573-2975
dc.identifier.urihttp://hdl.handle.net/2183/32961
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.urihttps://doi.org/10.1007/s10668-023-03232-xes_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectEfciencyes_ES
dc.subjectEnvironmental indexes_ES
dc.subjectModern portfolio theoryes_ES
dc.subjectEuropean Uniones_ES
dc.subjectTwo-step optimizationes_ES
dc.titleApplication of modern portfolio theory to the European electricity mix: an assessment of environmentally optimal scenarioses_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationdd654a17-4af1-42c7-9640-990acbca8c4c
relation.isAuthorOfPublicatione7414bcb-674f-43e8-bc5a-468f215facf5
relation.isAuthorOfPublicationda0c82b6-d67c-4bf3-aa6d-5cf153f887fb
relation.isAuthorOfPublication.latestForDiscoverydd654a17-4af1-42c7-9640-990acbca8c4c

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