OPTIMIZATION OF A NOVEL SOLAR PARTICLE RECEIVER BY MEANS OF HYDROTHERMAL TECHNOLOGY AND ARTIFICIAL INTELLIGENCE (HYDRAISOL-CM-UC3M)Funding entity: Autonomous Community of MadridPhases of the project:Initial coordination of the projectOptimization of the bed receiver using AI from the data already available. This consists of the operation of the bed under direct and indirect mode, using several kinds of commercial particles as bed material.Optimization of the bed receiver using AI from using the different coatings obtained from magnetron sputtering techniques on the opaque wall for the indirect heating mode.Validation of detailed numerical simulations to capture the system's thermal and fluid dynamic properties.Numerical campaign to analyze geometry variations from the original experimental facility and its effect on the performance of the system.Test and validation of CNN to be employed combined with detailed numerical simulations.Optimization of the geometry tested by numerical simulations using AI.Test the performance of the newly processed materials (through sol-gel and/or hydrothermal-based technologies) on the fluidized bed receiver.Optimization of hydrothermal technology growth parameters using AI.Closure of the projectPhase(s) for which the offer is intended:Optimization of the bed receiver using AI from the data already available. This consists of the operation of the bed under direct and indirect mode, using several kinds of commercial particles as bed material.Optimization of the bed receiver using AI from using the different coatings obtained from magnetron sputtering techniques on the opaque wall for the indirect heating mode.Offer code: 2024/00353/001Inscriptions here:https://aplicaciones.uc3m.es/atenea/publico/1/listarConvocatorias
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