Chapter 3. Measurement and Control of NOx in Oxygen-Fired Glass Furnaces

  1. John B. Wachtman Jr
  1. Ronny Eriksson1,
  2. Don Coe2 and
  3. Rudiger Eichler3

Published Online: 26 MAR 2008

DOI: 10.1002/9780470313923.ch3

Proceedings of the 52nd Conference on Glass Problems: Ceramic Engineering and Science Proceedings, Volume 13, Issue 3/4

Proceedings of the 52nd Conference on Glass Problems: Ceramic Engineering and Science Proceedings, Volume 13, Issue 3/4

How to Cite

Eriksson, R., Coe, D. and Eichler, R. (1994) Measurement and Control of NOx in Oxygen-Fired Glass Furnaces, in Proceedings of the 52nd Conference on Glass Problems: Ceramic Engineering and Science Proceedings, Volume 13, Issue 3/4 (ed J. B. Wachtman), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470313923.ch3

Author Information

  1. 1

    AGA Gas Innovations Independence, OH 44131

  2. 2

    AGA Gas, Inc. Independence, OH 44131

  3. 3

    AGA Gas Innovations, GmbH Hamburg, Germany

Publication History

  1. Published Online: 26 MAR 2008
  2. Published Print: 1 JAN 1994

ISBN Information

Print ISBN: 9780470375136

Online ISBN: 9780470313923

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Keywords:

  • installation;
  • efficiency;
  • emissions;
  • parameters;
  • sulfur dioxide

Summary

In recent years, there has been increasing interest and activity in the glass industry concerning the application of total oxy-fuel firing for glass furnaces. The development of this technology has been driven mostly by environmental concerns, although other benefits have been uncovered. During the emergence of all oxy-fuel fired glass furnace applications, AGA has been working to develop practical procedures that will facilitate the installation of this technology and optimize the use of oxy-fuel firing. The objective of this paper will be to present a method of using statistical analysis and correlation of furnace operational data to improve the efficiency of oxy-fuel fired glass furnace operation. Data from a pilot-scale oxy-fuel fired glass melting project will be used as a basis for the technical presentation. Statistical correlation between furnace operational data such as glass temperature and individual burner energy input will be analyzed as to the weight of impact each set of data has on process efficiency and product quality. Finally, a method for using the statistical analysis for input into a glass furnace control system that can be used to increase combustion efficiency, minimize emissions, and better control glass quality will be discussed.