ORTIZ MACHADO , Diogo

La unidad temática de esta tesis es el control de plantas de concentración solar térmica. La obra se divide en tres partes. Parte I desarrolla modelos neuro adaptativos difusos para integrar los gemelos digitales de la planta de absorción solar construida en la Universidad de Sevilla para futuras aplicaciones de optimización y control. Los...

Solar absorption plants are renewable energy systems with a special advantage: the cooling demand follows the solar energy source. The problem is that this plant presents solar intermittency, phenomenological complexity, and nonlinearities. That results in a challenge for control and energy management. In this context, this paper develops a...

This work develops digital entities of a commercial Fresnel Solar Collector (FSC) installed in an absorption cooling plant. The objective is to create and validate models that describe the FSC dynamics across its whole operation range during the day and the night. Thus, the temperatures range between operation temperature of 180° C and almost...

The aim of this study is to create a digital twin of a commercial absorption chiller for control and optimization purposes. The chiller is a complex system that is affected by solar intermittency and non-linearities. The authors use Adaptive Neuro-fuzzy Inference System (ANFIS) to model the chiller's behavior during transients and part-load...