Neuro-fuzzy Modelling of a Linear Fresnel-type Solar collector System as A Digital Twin

Abstract

One of the main components of a Digital Twin is the modeling of the virtual entity, being this a high-fidelity digital model of the physical entity that represents the modeling of geometry, modeling of physical properties, modeling of behavior, and modeling of rules in the virtual world. This paper presents a model, based on an Adaptive Neuro-Fuzzy Inference System, of a Fresnel linear solar collector system as a Digital Twin, located on the roof of the School of Engineering of the University of Seville, which is a part of an absorption cooling plant. A distributed parameter model of the system has been used to generate artificial data. Real operating data were used to validate the model.