Advancements in Computational Modeling for Vision 21 IGCC Systems: Parametric Analysis of Gasification Performance

  • Unique Paper ID: 174913
  • PageNo: 1188-1193
  • Abstract:
  • This study explores advancements in computational modeling for Vision 21 Integrated Gasification Combined Cycle (IGCC) systems. A series of Computational Fluid Dynamics (CFD) simulations were conducted for single-stage (down-fired) and two-stage (up-fired) entrained flow gasifiers. Key parametric variations included fuel particle size, slurry pre-heating, feed types (wet and dry), system pressure, and gasifier geometry. Advanced modeling techniques, including a flowing slag model and validated reaction kinetics for coal gasification, were implemented to enhance accuracy. Results demonstrate substantial impacts on carbon conversion, syngas composition, heating values, and cold-gas efficiency, providing a robust framework for optimizing IGCC gasifier designs.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{174913,
        author = {DEVANG ASHOKKUMAR THAKAR and Dr Dipak Gupta},
        title = {Advancements in Computational Modeling for Vision 21 IGCC Systems: Parametric Analysis of Gasification Performance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1188-1193},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174913},
        abstract = {This study explores advancements in computational modeling for Vision 21 Integrated Gasification Combined Cycle (IGCC) systems. A series of Computational Fluid Dynamics (CFD) simulations were conducted for single-stage (down-fired) and two-stage (up-fired) entrained flow gasifiers. Key parametric variations included fuel particle size, slurry pre-heating, feed types (wet and dry), system pressure, and gasifier geometry. Advanced modeling techniques, including a flowing slag model and validated reaction kinetics for coal gasification, were implemented to enhance accuracy. Results demonstrate substantial impacts on carbon conversion, syngas composition, heating values, and cold-gas efficiency, providing a robust framework for optimizing IGCC gasifier designs.},
        keywords = {Integrated Gasification Combined Cycle (IGCC), Computational Fluid Dynamics (CFD), Gasification, Reaction Kinetics, Vision 21 Systems, Syngas, Optimization},
        month = {April},
        }

Cite This Article

THAKAR, D. A., & Gupta, D. D. (2025). Advancements in Computational Modeling for Vision 21 IGCC Systems: Parametric Analysis of Gasification Performance. International Journal of Innovative Research in Technology (IJIRT), 11(11), 1188–1193.

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