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2020 | OriginalPaper | Chapter

Composite SVR Based Modelling of an Industrial Furnace

Authors : Daniel Santos, Luís Rato, Teresa Gonçalves, Miguel Barão, Sérgio Costa, Isabel Malico, Paulo Canhoto

Published in: Modelling and Development of Intelligent Systems

Publisher: Springer International Publishing

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Abstract

Industrial furnaces consume a large amount of energy and their operating points have a major influence on the quality of the final product. Designing a tool that analyzes the combustion process, fluid mechanics and heat transfer and assists the work done during energy audits is then of the most importance.

This work proposes a hybrid model for such a tool, having as its base two white-box models, namely a detailed Computational Fluid Dynamics (CFD) model and a simplified Reduced-Order (RO) model, and a black-box model developed using Machine Learning (ML) techniques.

The preliminary results presented in the paper show that this composite model is able to improve the accuracy of the RO model without having the high computational load of the CFD model.

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Title: Composite SVR Based Modelling of an Industrial Furnace
Authors: Daniel Santos
Luís Rato
Teresa Gonçalves
Miguel Barão
Sérgio Costa
Isabel Malico
Paulo Canhoto
Publisher: Springer International Publishing
Book: Modelling and Development of Intelligent Systems
Print ISBN: 978-3-030-39236-9

Electronic ISBN: 978-3-030-39237-6

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-39237-6_11

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