Spectral Gas Effects in Gas-Fired Furnaces

Wieringa, J. A.; Elich, J. J. Ph.; Hoogendoorn, C. J.

doi:10.1007/978-3-642-84637-3_2

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…Data for refractory materials and glasses are given in Table A2 [ [33][34][35][36][37][38][39][40][41][42][43][44][45][46]; again many of the polynomial Table A3 lists data for surface coatings. These coatings usually consist of a thin layer of protective refractory against the surrounding atmosphere which is usually oxidative.…”

Section: Figmentioning

confidence: 99%

A compilation of data on the radiant emissivity of some materials at high temperatures

Jones

Mason

Williams

2019

Journal of the Energy Institute

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Section: Figmentioning

confidence: 99%

A compilation of data on the radiant emissivity of some materials at high temperatures

Jones

Mason

Williams

2019

Journal of the Energy Institute

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“…The Discrete Transfer Method (DTM) solves the equation of radiative transfer in a different way. A detailed transcription of the Da'M can be found in Lockwood & Shah (1981) and Wieringa (1992). The enclosure that is studied is divided into a number of volume and surface elements, as in the zone method.…”

Section: Radiative Modellingmentioning

confidence: 99%

“…Based on spectral radiation measurements carried out at the IFRF, Wieringa (1992) has estimated the amount of soot present in the IFRF furnace for two different flames. For the underport flame the maximum fv is of the order 1.3 x 10-7; for the overport flame f~ .... is of the order 5-0 x 10-7…”

Section: Effect Of Soot Formationmentioning

confidence: 99%

Computational modelling of turbulent flow, combustion and heat transfer in glass furnaces

Hoogendoorn

Koster

Wieringa

1994

Sadhana

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For the combustion of natural gas in high temperature glass furnaces a computational model "Furnace" has been developed. It includes 3-D turbulent flow, flame chemistry, radiative heat transfer and the formation of soot and of the pollutant NO. Turbulent fluctuations have been taken into account, and are shown to have a large effect on thermal radiation and NO-formation. Spectral behaviour of gas radiation results in changes of heat transfer efficiency up to 5%, depending on refractory emissivity. The model has been employed to predict NO formation for different burner geometries. In general, a decrease in mixing of gas and air results in a reduction of 1600 to 400ppm in flue gas NO concentration. Except for some of the low mixing flames, however, they lead to a lower burnout and a very high CO level in the flue gas. A comparison with semi-technical furnace tests shows that the model can predict NO formation reasonably well. With this computational model the designer of furnaces and burners can study further possibilities for increased furnace performance and low NO emissions.

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2009

Computational Fluid Dynamics in Fire Engineering

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Spectral Gas Effects in Gas-Fired Furnaces

Cited by 4 publications

References 4 publications

A compilation of data on the radiant emissivity of some materials at high temperatures

A compilation of data on the radiant emissivity of some materials at high temperatures

Computational modelling of turbulent flow, combustion and heat transfer in glass furnaces

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