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Title: A grey-box Neural Network Composite Model for an Industrial Heating Furnace
Authors: Santos, Daniel
Costa, Sérgio
Rato, Luís
Gonçalves, Teresa
Malico, Isabel
Canhoto, Paulo
Alvarez, Frederico
Barão, Miguel
Keywords: furnace
neural network
composite model
Issue Date: 2019
Publisher: APRP
Citation: Daniel Santos, Sérgio Costa, Luís Rato, Teresa Gonçalves, Isabel Malico, Paulo Canhoto, Frederico Alvarez, Miguel Barão, A grey-box Neural Network Composite Model for an Industrial Heating Furnace, 25th Portuguese Conference on Pattern Recognition RECPAD2019, pp 83-85, October, 2019.
Abstract: Industrial furnaces consume large amounts of energy and their operating points have a major influence on the quality of the final product. Design- ing a tool that analyzes the combustion process, fluid mechanics and heat transfer and assists the energy audit work is then of the most importance. This work proposes a hybrid composite 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, plus a black-box model developed using Artificial Neural Networks. The preliminary results presented in this 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.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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