Simulation Study of the Formation of Corrosive Gases in Coal Combustion in an Entrained Flow Reactor

Maximilian von Bohnstein, Coskun Yildiz, Lorenz Frigge, Jochen Ströhle and Bernd Epple
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Maximilian von Bohnstein: Institute for Energy Systems and Technology, Technische Universitat Darmstadt, 64289 Darmstadt, Germany
Coskun Yildiz: Institute for Energy Systems and Technology, Technische Universitat Darmstadt, 64289 Darmstadt, Germany
Lorenz Frigge: Institute for Energy Systems and Technology, Technische Universitat Darmstadt, 64289 Darmstadt, Germany
Jochen Ströhle: Institute for Energy Systems and Technology, Technische Universitat Darmstadt, 64289 Darmstadt, Germany
Bernd Epple: Institute for Energy Systems and Technology, Technische Universitat Darmstadt, 64289 Darmstadt, Germany

Energies, 2020, vol. 13, issue 17, 1-24

Abstract: Gaseous sulfur species play a major role in high temperature corrosion of pulverized coal fired furnaces. The prediction of sulfur species concentrations by 3D-Computational Fluid Dynamics (CFD) simulation allows the identification of furnace wall regions that are exposed to corrosive gases, so that countermeasures against corrosion can be applied. In the present work, a model for the release of sulfur and chlorine species during coal combustion is presented. The model is based on the mineral matter transformation of sulfur and chlorine bearing minerals under coal combustion conditions. The model is appended to a detailed reaction mechanism for gaseous sulfur and chlorine species and hydrocarbon related reactions, as well as a global three-step mechanism for coal devolatilization, char combustion, and char gasification. Experiments in an entrained flow were carried out to validate the developed model. Three-dimensional numerical simulations of an entrained flow reactor were performed by CFD using the developed model. Calculated concentrations of SO 2 , H 2 S, COS, and HCl showed good agreement with the measurements. Hence, the developed model can be regarded as a reliable method for the prediction of corrosive sulfur and chlorine species in coal fired furnaces. Further improvement is needed in the prediction of some minor trace species.

Keywords: Computational Fluid Dynamics (CFD); high temperature corrosion; pulverized fuel-firing systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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