PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 5, 2026Fuel0 citationsOpen Access

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

View Full Paper
EMEric C. MonsonBABradley R. Adams

Key Points

  • To develop a particle-based reactor network model for predicting the performance of pressurized entrained flow gasifiers.
  • Developed a novel particle-based reactor network model (PRNM) for gasifier performance prediction.
  • Used three plug-flow reactors (PFRs) to model gas flow.
  • Implemented a Lagrangian approach to track multiple particle types and sizes.
  • Calculated gas phase properties with Cantera PFR and WSR modules and a modified GRI-Mech 3.0 mechanism.
  • Evaluated heat transfer rates using an optically thick assumption.
  • Model predictions for gas temperature and composition aligned well with pilot- and commercial-scale data.
  • Particle conversion metrics were successfully validated against experimental results.
  • Notable limitations were found in calculating temperature profiles near the burner, but these didn't significantly affect overall predictions.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Monson et al. (2026) studied this question.

synapsesocial.com/papers/69a91cf1d6127c7a504bfd51https://doi.org/10.1016/j.fuel.2026.138953
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Optimum Equivalence Ratio of Biomass Gasification Process Based on Thermodynamic Equilibrium Model2015 · 54 citations
  2. 2Rapid devolatilization of pulverized coal in hot combustion gases1977 · 216 citations
  3. 3Automatic generation of equivalent reactor networks driven by CFD flow fields: A multi-scale modeling approach for hydrocarbon steam cracking2025 · 2 citations
  4. 4A simulation study on the performance of an entrained-flow coal gasifier1995 · 69 citations
  5. 5Mathematical models of the thermal decomposition of coal1. The evolution of volatile matter1983 · 234 citations