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    Effect of the thermal characteristics of dielectric fluids on the loading capacity of a power transformer

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    Identificadores
    URI: https://hdl.handle.net/10902/27941
    DOI: 10.1109/ICDL49583.2022.9830933
    ISBN: 978-1-6654-8492-3
    ISBN: 978-1-6654-8491-6
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    Autoría
    Matia González, David; Santisteban Díaz, AgustínAutoridad Unican; Ortiz Fernández, FélixAutoridad Unican; Quintanilla Cavia, Pedro JoséAutoridad Unican; García Gómez, Diego Fernando; Ortiz Fernández, AlfredoAutoridad Unican
    Fecha
    2022
    Derechos
    © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Publicado en
    IEEE 21st International Conference on Dielectric Liquids (ICDL), Sevilla, 2022, 244-247
    Editorial
    Institute of Electrical and Electronics Engineers, Inc.
    Enlace a la publicación
    https://doi.org/10.1109/ICDL49583.2022.9830933
    Palabras clave
    Power transformer
    Dielectric fluid
    Computational fluid dynamics
    Loading capacity
    Resumen/Abstract
    The use of biodegradable dielectric liquids in power transformers has several advantages, such as increased fire safety or their biodegradability in the event of a leak in the tank. However, they also have a higher viscosity that does not benefit their cooling function within these machines. Although there are many references that analyze the transformers hotspot temperature for dynamic loading, there are hardly any references that focus on the dynamic evaluation of the hotspot when the viscosity of the dielectric and cooling fluid changes, with respect to that of the oil of mineral origin. In this work, the algorithms proposed in the bibliography will be combined with the use of computational fluid dynamics software ANSYSFLUENT, which uses the finite volumes method to solve the equations that govern fluid flow. The software tool will be used to calculate the temperatures of a 100MVA transformer winding. Once these temperatures have been calculated, they can be entered into the hotspot temperature estimation algorithm when the machine's load regime is varied. This analysis will be repeated using dielectric liquids with different thermal characteristics. Transformer fleet managers may use the results of this study in order to adapt their procedures when the machines they manage do not have conventional mineral oil inside
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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contacto | Sugerencias
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 4.0 España