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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/34958

    Título
    Defect recognition by means of light and electron probe techniques for the characterization of mc-Si wafers and solar cells
    Autor
    Moralejo, B.
    Tejero, A.
    Hortelano Santos, VanesaAutoridad UVA
    Martínez Sacristán, ÓscarAutoridad UVA Orcid
    González Delgado, Manuel ÁngelAutoridad UVA Orcid
    Jiménez López, Juan IgnacioAutoridad UVA Orcid
    Año del Documento
    2016
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Superlattices and Microstructures, 2016, Volume 99, Pages 45-53
    Résumé
    Multicristalline Silicon (mc-Si) is the preferred material for current terrestrial photovoltaic applications. However, the high density of defects present in mc-Si deteriorates the material properties, in particular the minority carrier diffusion length. For this reason, a large effort to characterize the mc-Si material is demanded, aiming to visualize the defective areas and to quantify the type of defects, density and its origin. In this work, several complementary light and electron probe techniques are used for the analysis of both mc-Si wafers and solar cells. These techniques comprise both fast and whole-area detection techniques such as Photoluminescence imaging, and highly spatially resolved time consuming techniques, such as light and electron beam induced current techniques and μRaman spectroscopy. These techniques were applied to the characterization of different mc-Si wafers for solar cells, e.g. ribbon wafers, cast mc-Si as well as quasi-monocrystalline material, upgraded metallurgical mc-Si wafers, and finished solar cells.
    Palabras Clave
    Silicio multicristalino
    Multicristalline Silicon
    Corriente inducida por haz de luz
    Light Beam Induced Current
    Correiente inducida por electronos
    Electron Beam Induced Current
    LBIC
    EBIC
    ISSN
    0749-6036
    Revisión por pares
    SI
    DOI
    10.1016/j.spmi.2016.02.005
    Patrocinador
    Junta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. VA166A11-2)
    Ministerio de Ciencia e Innovación (Proyect IPT-420000-2010-022 INNPACTO)
    Ministerio de Economía, Industria y Competitividad (Project ENE2014-56069-C4-4-R)
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S0749603616300489
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/34958
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP32 - Artículos de revista [284]
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    Defect-recognition-means-Preprint.pdf
    Tamaño:
    1.050Mo
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    Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepté là où spécifié autrement, la license de ce document est décrite en tant que Attribution-NonCommercial-NoDerivatives 4.0 International

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