Coupling reduced-order modeling and coarse-grained CFD-DEM to accelerate coal gasifier simulation and optimization

Jia Yu, Liqiang Lu*, Xi Gao, Yupeng Xu, Mehrdad Shahnam, William A. Rogers

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

High fidelity three-dimensional (3-D) numerical simulations of commercial-scale coal gasifiers are very time consuming and expensive. This article proposes a reduced-order modeling approach that uses quasi one-dimensional (1-D) CFD–DEM simulation results to serve as an accurate initial condition for the 3-D simulation, which significantly shortens the physical time from several hours to minutes to achieve steady states. The 3-D simulation employs a previously validated coarse-grained CFD-DEM approach, which further accelerates the simulation. Both 1-D and 3-D simulations adopt a particle shrinkage scheme to correctly account for the particle volume change due to chemical reaction and thus provides an accurate bed height. Comparison with available experimental measurements of the bed temperature and synthesis gas composition is used to validate the simulation. The final syngas composition and flowrates are strongly affected by the fuel or gasification agent rate and process operating conditions as expected. This approach is then used to optimize two important operating conditions (air and steam flows) to achieve specific gasifier performance goals for the production of Fischer–Tropsch synthesis gas and production of fuel gas for gas turbines.

Original languageEnglish
Article numbere17030
JournalAICHE Journal
Volume67
Issue number1
DOIs
StatePublished - Jan 2021
Externally publishedYes

Keywords

  • DEM/coarse grained DEM
  • MFiX
  • gasifier
  • long-time simulation
  • optimization

Fingerprint Dive into the research topics of 'Coupling reduced-order modeling and coarse-grained CFD-DEM to accelerate coal gasifier simulation and optimization'. Together they form a unique fingerprint.

Cite this