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Novel intrinsic-based submodel for char particle gasification in entrained-flow gasifiers: Model development, validation and illustration

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  • Schulze, S.
  • Richter, A.
  • Vascellari, M.
  • Gupta, A.
  • Meyer, B.
  • Nikrityuk, P.A.

Abstract

The final carbon conversion rate is of critical importance in the efficiency of gasifiers. Therefore, comprehensive modeling of char particle conversion is of primary interest for designing new gasifiers. This work presents a novel intrinsic-based submodel for the gasification of a char particle moving in a hot flue gas environment considering CO2 and H2O as inlet species. The first part of the manuscript describes the model and its derivation. Validations against experiments carried out in this work for German lignite char are reported in the second part. The comparison between submodel predictions and experimental data shows good agreement. The importance of char porosity change during gasification is demonstrated. The third part presents the results of CFD simulations using the new submodel and a surface-based submodel for a generic endothermic gasifier. The focus of CFD simulations is to demonstrate the crucial role of intrinsic based heterogeneous reactions in the adequate prediction of carbon conversion rates.

Suggested Citation

  • Schulze, S. & Richter, A. & Vascellari, M. & Gupta, A. & Meyer, B. & Nikrityuk, P.A., 2016. "Novel intrinsic-based submodel for char particle gasification in entrained-flow gasifiers: Model development, validation and illustration," Applied Energy, Elsevier, vol. 164(C), pages 805-814.
    • Handle: RePEc:eee:appene:v:164:y:2016:i:c:p:805-814
    DOI: 10.1016/j.apenergy.2015.12.018
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    References listed on IDEAS

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    1. Jeong, Hyo Jae & Seo, Dong Kyun & Hwang, Jungho, 2014. "CFD modeling for coal size effect on coal gasification in a two-stage commercial entrained-bed gasifier with an improved char gasification model," Applied Energy, Elsevier, vol. 123(C), pages 29-36.
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    1. Li, Fenghai & Zhou, Meijie & zhao, Wei & Liu, Xuefei & Yang, Ziqiang & Fan, Hongli & Han, Guopeng & Li, Junguo & Xu, Meiling & Fang, Yitian, 2024. "Ash fusion behavior modification mechanisms of high-calcium coal by coal blending and its ash viscosity predication," Energy, Elsevier, vol. 288(C).
    2. Baath, Yuvraj Singh & Nikrityuk, Petr A. & Gupta, Rajender, 2022. "Experimental and numerical verifications of biochar gasification kinetics using TGA," Renewable Energy, Elsevier, vol. 185(C), pages 717-733.
    3. Porcu, Andrea & Xu, Yupeng & Mureddu, Mauro & Dessì, Federica & Shahnam, Mehrdad & Rogers, William A. & Sastri, Bhima S. & Pettinau, Alberto, 2021. "Experimental validation of a multiphase flow model of a lab-scale fluidized-bed gasification unit," Applied Energy, Elsevier, vol. 293(C).
    4. Cao, Zhikai & Li, Tao & Zhang, Quancong & Zhou, Hua & Song, Can & You, Fengqi, 2018. "Systems modeling, simulation and analysis for robust operations and improved design of entrained-flow pulverized coal gasifiers," Energy, Elsevier, vol. 148(C), pages 941-964.
    5. Li, Fenghai & Zhao, Wei & Li, Junguo & Fan, Hongli & Xu, Meiling & Han, Guopeng & Guo, Mingxi & Wang, Zhiqing & Huang, Jiejie & Fang, Yitian, 2023. "Investigation on influencing mechanisms of phosphogypsum (PG) on the ash fusion behaviors of coal," Energy, Elsevier, vol. 268(C).

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