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Weighted sum of gray gases model optimization for numerical investigations of processes inside pulverized coal-fired furnaces

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Abstract

The effects of the number of significant figures (NSF) in the interpolation polynomial coefficients (IPCs) of the weighted sum of gray gases model (WSGM) on results of numerical investigations and WSGM optimization were investigated. The investigation was conducted using numerical simulations of the processes inside a pulverized coal-fired furnace. The radiative properties of the gas phase were determined using the simple gray gas model (SG), two-term WSGM (W2), and three-term WSGM (W3). Ten sets of the IPCs with the same NSF were formed for every weighting coefficient in both W2 and W3. The average and maximal relative difference values of the flame temperatures, wall temperatures, and wall heat fluxes were determined. The investigation showed that the results of numerical investigations were affected by the NSF unless it exceeded certain value. The increase in the NSF did not necessarily lead to WSGM optimization. The combination of the NSF (CNSF) was the necessary requirement for WSGM optimization.

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Acknowledgments

This work is a result of the project “Increase in energy and ecology efficiency of processes in pulverized coalfired furnace and optimization of utility steam boiler air preheater by using in-house developed software tools”, supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia (project No. TR-33018).

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Correspondence to Nenad Crnomarkovic.

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This research is supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia (project No. TR-33018).

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Crnomarkovic, N., Belosevic, S., Tomanovic, I. et al. Weighted sum of gray gases model optimization for numerical investigations of processes inside pulverized coal-fired furnaces. J. Therm. Sci. 26, 552–559 (2017). https://doi.org/10.1007/s11630-017-0973-0

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