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

DOI

10.2991/asum.k.210827.033How to use a DOI?

Keywords

Digital Twin, Neuro-Fuzzy modeling, ANFIS

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.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - William D. Chicaiza
AU  - Adolfo J. Sánchez
AU  - Antonio J. Gallego
AU  - Juan M. Escaño
PY  - 2021
DA  - 2021/08/30
TI  - Neuro-fuzzy Modelling of a Linear Fresnel-type Solar Collector System as a Digital Twin
BT  - Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)
PB  - Atlantis Press
SP  - 242
EP  - 249
SN  - 2589-6644
UR  - https://doi.org/10.2991/asum.k.210827.033
DO  - 10.2991/asum.k.210827.033
ID  - Chicaiza2021
ER  -