• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Navegar

    Todo o repositórioComunidadesPor data do documentoAutoresAssuntosTítulos

    Minha conta

    Entrar

    Estatística

    Ver as estatísticas de uso

    Compartir

    Ver item 
    •   Página inicial
    • PRODUÇÃO CIENTÍFICA
    • Grupos de Investigación
    • Energía, Economía y Dinámica de Sistemas (GEEDS)
    • GEEDS - Artículos de revistas
    • Ver item
    •   Página inicial
    • PRODUÇÃO CIENTÍFICA
    • Grupos de Investigación
    • Energía, Economía y Dinámica de Sistemas (GEEDS)
    • GEEDS - Artículos de revistas
    • Ver item
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/44660

    Título
    Scenario analysis and sensitivity exploration of the MEDEAS Europe energy-economy-environment model
    Autor
    Samsó, Roger
    Blas Sanz, Ignacio DeAutoridad UVA Orcid
    Perissi, Ilaria
    Martelloni, Gianluca
    Solé, Jordi
    Año del Documento
    2020
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Energy Strategy Reviews, 2020, vol. 32, p. 100582
    Resumo
    Today's decision-makers rely heavily on Integrated Assessment Models to guide the decarbonisation of the energy system. Uncertainty is embedded in the assumptions these models are built upon. Unless those uncertainties are adequately assessed, using Integrated Assessment Models for policy design is unadvised. In this work we run Monte Carlo simulations with the MEDEAS model at European Union scale to assess how the uncertainties on the main drivers of the transition affect key socioeconomic and environmental indicators. In addition, One-at-a-time sensitivity exploration is performed to grade the contribution of a set of model parameters to the uncertainty in the same key indicators. The combination of the uncertainties in the model drivers magnify the uncertainty in the model outputs, which widens over time. Parameters affecting sectorial and households' energy efficiency and households' transport energy use ranked amongst the most impacting ones on simulation results.
    Materias Unesco
    33 Ciencias Tecnológicas
    Palabras Clave
    Transición energética
    Sustentabilidad
    ISSN
    2211-467X
    Revisión por pares
    SI
    DOI
    10.1016/j.esr.2020.100582
    Patrocinador
    European Union's Horizon 2020 research and innovation program, grant agreement No 691287 of the Framework Program for Research and Innovation actions, H2020 LCE-21-2015
    Patrocinador
    info:eu-repo/grantAgreement/EC/H2020/691287
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S2211467X20301358?via%3Dihub
    Propietario de los Derechos
    © Elsevier
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/44660
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Aparece en las colecciones
    • GEEDS - Artículos de revistas [43]
    Mostrar registro completo
    Arquivos deste item
    Nombre:
    Scenario-analysis-and-sensitivity.pdf
    Tamaño:
    5.001Mb
    Formato:
    Adobe PDF
    Thumbnail
    Visualizar/Abrir
    Attribution-NonCommercial-NoDerivatives 4.0 InternacionalExceto quando indicado o contrário, a licença deste item é descrito como Attribution-NonCommercial-NoDerivatives 4.0 Internacional

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10