Experiments in Fluids

, 55:1727 | Cite as

The potential of on-line optical flow measurement in the control and monitoring of pilot-scale oxy-coal flames

  • Pal Toth
  • Zhonghua Zhan
  • Zhisong Fu
  • Arpad B. Palotas
  • Eric G. Eddings
  • Terry A. Ring
Research Article


Digital image processing techniques offer a wide array of tools capable of extracting apparent displacement or velocity information from sequences of images of moving objects. Optical flow algorithms have been widely used in areas such as traffic monitoring and surveillance. The knowledge of instantaneous apparent flame velocities (however, they are defined) may prove to be valuable during the operation and control of industrial-scale burners. Optical diagnostics techniques, coupled with on-line image processing, have been applied in the optimization of coal-fired power plants; however, regardless of the available technology, the current methods do not apply optical flow measurement. Some optical flow algorithms have the potential of real-time applicability and are thus possible candidates for on-line apparent flame velocity extraction. In this paper, the potential of optical flow measurement in on-line flame monitoring and control is explored.


Particle Image Velocimetry Graphical Processing Unit Optical Flow Apparent Velocity Swirl Number 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors are thankful to Taylor Geisler (University of Utah) for assistance in pilot-scale tests and to Prof. Philip Smith (University of Utah) for his insights on interpreting the results. This material is based upon work supported by the Department of Energy under Award Number DE-NT0005015. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. This work was partially sponsored by the TAMOP-4.2.1.B-10/2/KONV-2010-0001 project with support by the European Union, co-financed by the European Social Fund. This research was carried out in the framework of the Center of Excellence of Sustainable Resource Management of the University of Miskolc.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Pal Toth
    • 1
  • Zhonghua Zhan
    • 1
  • Zhisong Fu
    • 1
  • Arpad B. Palotas
    • 1
  • Eric G. Eddings
    • 1
  • Terry A. Ring
    • 1
  1. 1.Department of Chemical EngineeringUniversity of UtahSalt Lake CityUSA

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