Development of a particle-based reactor network model for pressurized entrained flow gasifiers

• Developed a novel particle-based reactor network model for entrained flow gasifiers. • Model predicts gasifier performance using homogeneous and heterogeneous reactions. • Includes detailed particle reactions, radiative heat transfer, and refractory effects. • Performance metrics include gas temperature, composition and fuel conversion. • Compares well to pilot- and commercial-scale gasifier data. A novel particle-based reactor network model (PRNM) was developed as a design-screening tool to predict performance of pressurized, single-stage, oxygen-fired, entrained flow gasifiers (EFGs). PRNM is based on the reactor network concept, but provides improved detail of particle reactions not available in standard reactor network models (RNMs). Three plug-flow reactors (PFRs) are used to prescribe gas flow patterns within the gasifier a priori based on gasifier geometry and classical turbulent jet theory and recirculating flow theory. Multiple particle types and sizes are tracked using a Lagrangian approach. Cantera PFR and WSR reactor modules with a modified GRI-Mech 3.0 kinetic mechanism are used to calculate gas phase properties. Particle devolatilization rates are defined by the Ubhayakar two-step method; single-step char oxidation and gasification reactions are used. Heat transfer rates are calculated for the particles, gas, and refractory wall. An optically thick assumption is used for inter-particle and particle–wall radiative transfer. PRNM performance metrics include gas, particle and refractory temperature profiles, axial gas composition, and particle conversion. Predicted gas temperature profiles, exit gas compositions and particle conversions compared well with results from a laboratory-scale, pilot-scale and commercial-scale gasifiers. The main limitation was calculating the gas and wall temperature profiles near the burner where the radiation model is dimensionally limited, but inaccuracies were not found to impact exit gas temperature, composition, and particle conversion. Although developed for EFGs, PRNM techniques for coupling reacting particles to PFRs and WSRs in reactor networks are well-suited for other chemically reacting systems.

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Publication Details

Journal
Fuel
Published
2026-03-02
DOI
https://doi.org/10.1016/j.fuel.2026.138953
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
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article

Development of a particle-based reactor network model for pressurized entrained flow gasifiers

Bradley R. Adams, Eric C. Monson
Fuel
Granular flow and fluidized beds
article

Development of a particle-based reactor network model for pressurized entrained flow gasifiers

Bradley R. Adams, Eric C. Monson
article en

Abstract

• Developed a novel particle-based reactor network model for entrained flow gasifiers. • Model predicts gasifier performance using homogeneous and heterogeneous reactions. • Includes detailed particle reactions, radiative heat transfer, and refractory effects. • Performance metrics include gas temperature, composition and fuel conversion. • Compares well to pilot- and commercial-scale gasifier data. A novel particle-based reactor network model (PRNM) was developed as a design-screening tool to predict performance of pressurized, single-stage, oxygen-fired, entrained flow gasifiers (EFGs). PRNM is based on the reactor network concept, but provides improved detail of particle reactions not available in standard reactor network models (RNMs). Three plug-flow reactors (PFRs) are used to prescribe gas flow patterns within the gasifier a priori based on gasifier geometry and classical turbulent jet theory and recirculating flow theory. Multiple particle types and sizes are tracked using a Lagrangian approach. Cantera PFR and WSR reactor modules with a modified GRI-Mech 3.0 kinetic mechanism are used to calculate gas phase properties. Particle devolatilization rates are defined by the Ubhayakar two-step method; single-step char oxidation and gasification reactions are used. Heat transfer rates are calculated for the particles, gas, and refractory wall. An optically thick assumption is used for inter-particle and particle–wall radiative transfer. PRNM performance metrics include gas, particle and refractory temperature profiles, axial gas composition, and particle conversion. Predicted gas temperature profiles, exit gas compositions and particle conversions compared well with results from a laboratory-scale, pilot-scale and commercial-scale gasifiers. The main limitation was calculating the gas and wall temperature profiles near the burner where the radiation model is dimensionally limited, but inaccuracies were not found to impact exit gas temperature, composition, and particle conversion. Although developed for EFGs, PRNM techniques for coupling reacting particles to PFRs and WSRs in reactor networks are well-suited for other chemically reacting systems.

FuelVol. 420
Brigham Young University (US)
Affordable and clean energy
Openalex Percentile: Top 35%
Granular flow and fluidized beds
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