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Application of Neural Networks for local modeliation of the boiler furnace in thermal power plants

  • Neural Networks for Communications, Control and Robotics
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Biological and Artificial Computation: From Neuroscience to Technology (IWANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

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Abstract

Boiler fouling is a phenomenon that has a negative influence in boiler efficiency, where the more effective and habitual maneuver is on-load blowing with steam. Optimization of this process is an activity susceptible of being carried out, for which an application denominated Intelligent Blowing System has been developed in the Teruel Power Station. The absence of models to predict the evolution of fouling and cleaning of the boiler sections, has lead to the application of Neural Networks (Back-Propagation algorithm) for locally modelling the behaviour of the boiler furnace during the blowing process with an average success of 60%.

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References

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Author information

Authors and Affiliations

  1. CIRCE, Power Plant Efficiency Research Center, Department of Mechanical Engineering, University of Zaragoza, María de Luna, 3, 50015, Zaragoza, Spain

    O. Bella & C. Cortés

  2. Teruel Power Station, ENDESA (Spanish National Electricity Company), 44500, Andorra, Teruel, Spain

    A. Tomás

Authors
  1. O. Bella
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  2. C. Cortés
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  3. A. Tomás
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Editor information

José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Bella, O., Cortés, C., Tomás, A. (1997). Application of Neural Networks for local modeliation of the boiler furnace in thermal power plants. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032587

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  • DOI: https://doi.org/10.1007/BFb0032587

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

  • eBook Packages: Springer Book Archive

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