The effect of model fidelity on prediction of char burnout for single-particle coal combustion

McConnell, Josh; Sutherland, James C.

doi:10.1016/j.proci.2016.06.136

Title: The effect of model fidelity on prediction of char burnout for single-particle coal combustion

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Abstract

In this study, practical simulation of industrial-scale coal combustion relies on the ability to accurately capture the dynamics of coal subprocesses while also ensuring the computational cost remains reasonable. The majority of the residence time occurs post-devolatilization, so it is of great importance that a balance between the computational efficiency and accuracy of char combustion models is carefully considered. In this work, we consider the importance of model fidelity during char combustion by comparing combinations of simple and complex gas and particle-phase chemistry models. Detailed kinetics based on the GRI 3.0 mechanism and infinitely-fast chemistry are considered in the gas-phase. The Char Conversion Kinetics model and nth-Order Langmuir–Hinshelwood model are considered for char consumption. For devolatilization, the Chemical Percolation and Devolatilization and Kobayashi-Sarofim models are employed. The relative importance of gasification versus oxidation reactions in air and oxyfuel environments is also examined for various coal types. Results are compared to previously published experimental data collected under laminar, single-particle conditions. Calculated particle temperature histories are strongly dependent on the choice of gas phase and char chemistry models, but only weakly dependent on the chosen devolatilization model. Particle mass calculations were found to be very sensitive to the choice of devolatilization model,more »« less

Authors:

^[1];

^[1]

Univ. of Utah, Salt Lake City, UT (United States)

Publication Date:: Sat Jul 09 00:00:00 EDT 2016

Research Org.:: Univ. of Utah, Salt Lake City, UT (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1326226

Alternate Identifier(s):: OSTI ID: 1397950

Report Number(s):: DOE-UTAH-MCCONNELL-0001
Journal ID: ISSN 1540-7489; PII: S1540748916301948

Grant/Contract Number:: NA0002375

Resource Type:: Accepted Manuscript

Journal Name:: Proceedings of the Combustion Institute

Additional Journal Information:: Journal Name: Proceedings of the Combustion Institute; Journal ID: ISSN 1540-7489

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 01 COAL, LIGNITE, AND PEAT; 20 FOSSIL-FUELED POWER PLANTS; char oxidation; coal combustion; devolatilization

Citation Formats


                    McConnell, Josh, and Sutherland, James C. The effect of model fidelity on prediction of char burnout for single-particle coal combustion.  United States: N. p., 2016. 
Web.  doi:10.1016/j.proci.2016.06.136.

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                    McConnell, Josh, & Sutherland, James C. The effect of model fidelity on prediction of char burnout for single-particle coal combustion.  United States.  https://doi.org/10.1016/j.proci.2016.06.136

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                    McConnell, Josh, and Sutherland, James C. Sat .  
"The effect of model fidelity on prediction of char burnout for single-particle coal combustion".  United States.  https://doi.org/10.1016/j.proci.2016.06.136.  https://www.osti.gov/servlets/purl/1326226.

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@article{osti_1326226,

  title        = {The effect of model fidelity on prediction of char burnout for single-particle coal combustion},

  author       = {McConnell, Josh and Sutherland, James C.},

  abstractNote = {In this study, practical simulation of industrial-scale coal combustion relies on the ability to accurately capture the dynamics of coal subprocesses while also ensuring the computational cost remains reasonable. The majority of the residence time occurs post-devolatilization, so it is of great importance that a balance between the computational efficiency and accuracy of char combustion models is carefully considered. In this work, we consider the importance of model fidelity during char combustion by comparing combinations of simple and complex gas and particle-phase chemistry models. Detailed kinetics based on the GRI 3.0 mechanism and infinitely-fast chemistry are considered in the gas-phase. The Char Conversion Kinetics model and nth-Order Langmuir–Hinshelwood model are considered for char consumption. For devolatilization, the Chemical Percolation and Devolatilization and Kobayashi-Sarofim models are employed. The relative importance of gasification versus oxidation reactions in air and oxyfuel environments is also examined for various coal types. Results are compared to previously published experimental data collected under laminar, single-particle conditions. Calculated particle temperature histories are strongly dependent on the choice of gas phase and char chemistry models, but only weakly dependent on the chosen devolatilization model. Particle mass calculations were found to be very sensitive to the choice of devolatilization model, but only somewhat sensitive to the choice of gas chemistry and char chemistry models. High-fidelity models for devolatilization generally resulted in particle temperature and mass calculations that were closer to experimentally observed values.},

  doi          = {10.1016/j.proci.2016.06.136},

  journal      = {Proceedings of the Combustion Institute},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sat Jul 09 00:00:00 EDT 2016},

  month        = {Sat Jul 09 00:00:00 EDT 2016}

}

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