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Composite SVR Based Modelling of an Industrial Furnace

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Modelling and Development of Intelligent Systems (MDIS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1126))

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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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Acknowledgements

This study was funded by the Alentejo 2020, Portugal 2020 program (Contract nr: 2017/017980) and by FCT – Fundação para a Ciência e Tecnologia (project UID/EMS/50022/2013).

Author information

Authors and Affiliations

  1. Computer Science Department, University of Évora, Évora, Portugal

    Daniel Santos, Luís Rato, Teresa Gonçalves & Miguel Barão

  2. Physics Department, University of Évora, Évora, Portugal

    Sérgio Costa, Isabel Malico & Paulo Canhoto

  3. ICT Institute of Earth Sciences, University of Évora, Évora, Portugal

    Paulo Canhoto

  4. LAETA, IDMEC, University of Lisbon, Lisbon, Portugal

    Sérgio Costa & Isabel Malico

Authors
  1. Daniel Santos
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  2. Luís Rato
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  3. Teresa Gonçalves
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  4. Miguel Barão
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  5. Sérgio Costa
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  6. Isabel Malico
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  7. Paulo Canhoto
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Corresponding author

Correspondence to Teresa Gonçalves .

Editor information

Editors and Affiliations

  1. Lucian Blaga University of Sibiu, Sibiu, Romania

    Dana Simian

  2. Lucian Blaga University of Sibiu, Sibiu, Romania

    Laura Florentina Stoica

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Santos, D. et al. (2020). Composite SVR Based Modelling of an Industrial Furnace. In: Simian, D., Stoica, L. (eds) Modelling and Development of Intelligent Systems. MDIS 2019. Communications in Computer and Information Science, vol 1126. Springer, Cham. https://doi.org/10.1007/978-3-030-39237-6_11

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  • DOI: https://doi.org/10.1007/978-3-030-39237-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39236-9

  • Online ISBN: 978-3-030-39237-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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