Computational investigation of oxy-combustion of pulverized coal and biomass in a swirl burner

Benim A. C., Canal C., Böke Y. E.

ENERGY, vol.238, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 238
  • Publication Date: 2022
  • Doi Number: 10.1016/
  • Journal Name: ENERGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Agricultural & Environmental Science Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Geobase, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Keywords: Pulverized fuel combustion, Oxy-combustion, Two-phase flow modelling, Turbulence modelling, Combustion modelling, WEIGHTED SUM, 2-PHASE FLOW, SIMULATION, LES, VALIDATION, TURBULENCE, KINETICS, RANS
  • Istanbul Technical University Affiliated: Yes


Swirling pulverized coal and biomass flames are computationally investigated for oxy-combustion. The two-phase flow is described by a Eulerian-Eulerian approach. For radiation, the absorption coefficient is approximated by superposing particle and gas contributions, considering oxy-combustion conditions for the latter. Turbulence is modelled within a URANS framework, using the standard k-epsilon model and Rey-nolds Stress Model (RSM). It is observed that RSM captures the unsteady dynamics of the coherent structures, whereas they are not captured by k-epsilon model. Predicted velocities are compared with mea-surements. It is observed that the RSM predictions are in a better agreement with the measurements compared to the k-epsilon model. The discrepancy between the predictions and measurements can most clearly be quantified in terms of the peak values of the axial velocity in the forward flow region enveloping the inner recirculation zone. The calculations constantly underpredict the measurements. On the average, this is about 32% for the RSM and 52% for the k-epsilon model, for both flames. The biomass flame is predicted nearly twice as long compared to the coal flame. As means of verification, the coal flame is additionally calculated using a classical Eulerian-Lagrangian two-phase formulation, leading to quite similar results to the Eulerian-Eulerian formulation. (c) 2021 Elsevier Ltd. All rights reserved.