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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/28503

    Título
    Predictive control for hydrogen production by electrolysis in an offshore platform using renewable energies
    Autor
    Serna Cantero, ÁlvaroAutoridad UVA
    Yahyaoui, ImeneAutoridad UVA
    Normey Rico, Julio Elías
    Prada Moraga, César deAutoridad UVA Orcid
    Tadeo Rico, Fernando JuanAutoridad UVA Orcid
    Año del Documento
    2017
    Documento Fuente
    International Journal of Hydrogen Energy 42 (17), 12865-12876
    Resumo
    An Energy Management System (EMS), based on Model Predictive Control (MPC) ideas, is proposed here to balance the consumption of power by a set of electrolysis units in an offshore platform. In order to produce renewable hydrogen, the power is locally generated by wind turbines and wave energy converters and fully used by the electrolyzers. The energy generated at the platform by wind and wave is balanced by regulating the operating point of each electrolysis unit and its connections or disconnections, using an MPC based on a Mixed-Integer-Quadratic-Programming algorithm. This Predictive Control algorithm makes it possible to take into account predictions of available power and power consumption, to improve the balance and reduce the number of connections and disconnections of the devices. Two case studies are carried out on different installations composed of wave and wind energies feeding a set of alkaline electrolyzers. Validation using measured data at the target location of the platforms shows the adequate operation of the proposed EMS.
    Revisión por pares
    SI
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/28503
    Derechos
    restrictedAccess
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    Universidad de Valladolid

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