3-D CFD Modeling for Parametric Study in a 300-MWe One-Stage Oxygen-Blown Entrained-Bed Coal Gasifier

Sang Shin Park, Hyo Jae Jeong and Jungho Hwang
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Sang Shin Park: Department of Mechanical Engineering, Yonsei University, Seoul 120-749, Korea
Hyo Jae Jeong: Department of Mechanical Engineering, Yonsei University, Seoul 120-749, Korea
Jungho Hwang: Department of Mechanical Engineering, Yonsei University, Seoul 120-749, Korea

Energies, 2015, vol. 8, issue 5, 1-21

Abstract: Three-dimensional computational fluid dynamics (CFD) modeling of the gasification performance in a one-stage, entrained-bed coal gasifier (Shell Coal Gasification Process (SCGP) gasifier) was performed, for the first time. The parametric study used various O 2 /coal and steam/coal ratios, and the modeling used a commercial code, ANSYS FLUENT. CFD modeling was conducted by solving the steady-state Navier–Stokes and energy equations using the Eulerian–Lagrangian method. Gas-phase chemical reactions were solved with the Finite–Rate/Eddy–Dissipation Model. The CFD model was verified with actual operating data of Demkolec demo Integrated Gasification Combined Cycle (IGCC) facility in Netherlands that used Drayton coal. For Illinois #6 coal, the CFD model was compared with ASPEN Plus results reported in National Energy Technology Laboratory (NETL). For design coal used in the SCGP gasifier in Korea, carbon conversion efficiency, cold gas efficiency, temperature, and species mole fractions at the gasifier exit were calculated and the results were compared with those obtained by using ASPEN Plus-Kinetic. The optimal O 2 /coal and steam/coal ratios were 0.7 and 0.05, respectively, for the selected operating conditions.

Keywords: one-stage; entrained-bed coal gasifier; SCGP gasifier; CFD; ASPEN Plus (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: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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