TY - GEN
T1 - REACTIVE FLOW MODELLING OF COAL GASIFICATION INCLUDING TAR FORMATION AND CRACKING
AU - Khan, Haider
AU - Almazrouei, Manar
AU - Janajreh, Isam
N1 - Publisher Copyright:
Copyright © 2025 by ASME.
PY - 2025
Y1 - 2025
N2 - Coal gasification faces persistent challenges from tar formation, which reduces conversion efficiency and causes operational issues. This study employs computational fluid dynamics (CFD) to investigate tar decomposition during coal gasification, focusing on the effects of equivalence ratio (ER), tar oxidation and steam reforming reaction. The model integrates a comprehensive reaction network including volatile decomposition, tar cracking, and steam reforming pathways. Simulations were conducted across ER values (0.16-0.40) at 1897 K using a validated three-stage entrained flow gasifier model. Key findings demonstrate that increasing ER from 0.16 to 0.40 significantly enhances tar decomposition, with optimal performance achieved between 0.33-0.40. At ER=0.33, the model predicts peak gasification efficiency (33.4%) with maximum H2 and CO yields. Steam reforming facilitates tar cracking through the reaction C0.88H1.47O0.12 + 0.778H2O → 0.731H2 + 0.882CO, while controlled oxidation (ER>0.33) promotes complete tar conversion to syngas. Temperature distribution analysis reveals that higher ER values create more uniform thermal fields, enhancing overall tar decomposition efficiency. This work provides quantitative insights for optimizing gasifier operation, demonstrating that precise ER control between 0.33-0.40 maximizes syngas quality while minimizing tar formation. The validated CFD framework offers a robust tool for predicting and improving gasification performance.
AB - Coal gasification faces persistent challenges from tar formation, which reduces conversion efficiency and causes operational issues. This study employs computational fluid dynamics (CFD) to investigate tar decomposition during coal gasification, focusing on the effects of equivalence ratio (ER), tar oxidation and steam reforming reaction. The model integrates a comprehensive reaction network including volatile decomposition, tar cracking, and steam reforming pathways. Simulations were conducted across ER values (0.16-0.40) at 1897 K using a validated three-stage entrained flow gasifier model. Key findings demonstrate that increasing ER from 0.16 to 0.40 significantly enhances tar decomposition, with optimal performance achieved between 0.33-0.40. At ER=0.33, the model predicts peak gasification efficiency (33.4%) with maximum H2 and CO yields. Steam reforming facilitates tar cracking through the reaction C0.88H1.47O0.12 + 0.778H2O → 0.731H2 + 0.882CO, while controlled oxidation (ER>0.33) promotes complete tar conversion to syngas. Temperature distribution analysis reveals that higher ER values create more uniform thermal fields, enhancing overall tar decomposition efficiency. This work provides quantitative insights for optimizing gasifier operation, demonstrating that precise ER control between 0.33-0.40 maximizes syngas quality while minimizing tar formation. The validated CFD framework offers a robust tool for predicting and improving gasification performance.
KW - Biomass-Coal Integration
KW - Co-Gasification
KW - Hydrogen Production
KW - Tar Reforming
KW - Thermal Radiation Modelling
UR - https://www.scopus.com/pages/publications/105018467062
UR - https://www.scopus.com/pages/publications/105018467062#tab=citedBy
U2 - 10.1115/FEDSM2025-158618
DO - 10.1115/FEDSM2025-158618
M3 - Conference contribution
AN - SCOPUS:105018467062
T3 - American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM
BT - Artificial Intelligence (AI) for Fluids; CFD Methods; CFD Applications; Bio-Inspired and Biomedical Fluid Dynamics; Fluid Measurement and Instrumentation; Energy and Sustainability
PB - American Society of Mechanical Engineers (ASME)
T2 - 2025 ASME Fluids Engineering Division Summer Meeting, FEDSM 2025
Y2 - 27 July 2025 through 30 July 2025
ER -