Universidad de Burgos RIUBU Principal Default Universidad de Burgos RIUBU Principal Default
  • español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
Universidad de Burgos RIUBU Principal Default
  • Ayuda
  • Contacto
  • Sugerencias
  • Acceso abierto
    • Archivar en RIUBU
    • Acuerdos editoriales para la publicación en acceso abierto
    • Controla tus derechos, facilita el acceso abierto
    • Sobre el acceso abierto y la UBU
    • 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.

    Listar

    Todo RIUBUComunidadesFechaAutor / DirectorTítuloMateria / AsignaturaEsta colecciónFechaAutor / DirectorTítuloMateria / Asignatura

    Mi cuenta

    AccederRegistro

    Estadísticas

    Ver Estadísticas de uso

    Compartir

    Ver ítem 
    •   RIUBU Principal
    • E-Prints y Datos de investigación
    • Grupos de investigación
    • Solar and Wind Feasibility Technologies (SWIFT)
    • Artículos SWIFT
    • Ver ítem
    •   RIUBU Principal
    • E-Prints y Datos de investigación
    • Grupos de investigación
    • Solar and Wind Feasibility Technologies (SWIFT)
    • Artículos SWIFT
    • Ver ítem

    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/4532

    Título
    Analysis of solar direct irradiance models under clear-skies: Evaluation of the improvements for locally adapted models
    Autor
    Pérez Burgos, Ana MªAutoridad UBU Orcid
    Diez Mediavilla, MontserratAutoridad UBU Orcid
    Alonso Tristán, CristinaAutoridad UBU Orcid
    Rodríguez Amigo, María del CarmenAutoridad UBU Orcid
    Publicado en
    Journal of renewable and sustainable energy. 2017, V. 9, n. 2, 023703
    Editorial
    AIP Publishing
    Fecha de publicación
    2017-03
    ISSN
    1941-7012
    DOI
    10.1063/1.4981798
    Resumen
    Direct solar irradiance has to be determined for the design of many energy applications such as photovoltaic systems and concentration systems, and the generation of solar potential maps for energy use. Knowledge of the accurate values of radiation components in a local area will allow optimal sizing of solar energy conversion systems. The estimated values of direct solar irradiance from models are still necessary at those sites where no measurements are available. In this work, different models used for the estimation of the direct component of solar irradiance are analyzed. First, an evaluation of the performance of eight existing original models was performed from which three were selected. Second, the selected models were calibrated to adapt them to our studied geographical area, which is the important aspect of this work, and an assessment of performance improvements for locally adapted models is reported. Experimental data consisted of hourly horizontal global, direct, and diffuse solar irradiance values, provided by the National Meteorological Agency in Spain (AEMET) for Madrid. Long-term data series, corresponding to a total period of time of 32 years (1980–2011), have been used in this study. Only clear sky models were treated at present. The three selected models were adapted to the specific location of Madrid, and root mean square error (RMSE) and mean-biased error were determined. By comparing the performance in the direct horizontal irradiance estimation from existing original and the corresponding locally adapted models, it is found that the values of RMSE decreased from 9.9% to 5.7% for the Louche model, from 7.8% to 7.4% for the Robledo-Soler model, and finally from 8.8% to 6.7% for the European Solar Radiation Atlas model. Thus, significant improvements can be reached when parametric models are locally adapted. In our case, it is up to approximately 4% for the Louche model. It is expected that calibrated algorithms presented in this work will be applicable to regions of similar climatic characteristics.
    Materia
    Electrotecnia
    Electrical engineering
    URI
    http://hdl.handle.net/10259/4532
    Versión del editor
    http://dx.doi.org/10.1063/1.4981798
    Aparece en las colecciones
    • Artículos SWIFT
    Ficheros en este ítem
    Nombre:
    Pérez-JRSEBH_2017.pdf
    Tamaño:
    1.277Mb
    Formato:
    Adobe PDF
    Thumbnail
    Visualizar/Abrir

    Métricas

    Citas

    Academic Search
    Ver estadísticas de uso

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis
    Mostrar el registro completo del ítem