MATHEMATICAL MODELING AND NUMERICAL STUDY OF BIOMASS FIXED CARBON GASIFICATION IN A DENSE BED AT ATMOSPHERIC PRESSURE. PART 1. THEORETICAL DESCRIPTION OF COKE PARTICLES CONVERSION IN A FIXED BED

  • B.B. Rokhman Thermal Energy Technology Institute of National Academy of Sciences of Ukraine, Kyiv
  • V.P. Klius Institute of Renewable Energy of the National Academy the Sciences of Ukraine, Kyiv
  • S.V. Kluis Institute of Renewable Energy of the National Academy the Sciences of Ukraine, Kyiv
Keywords: mathematical modeling, gasification process, biomass, conversion of coke particles

Abstract

Based on a system of parabolic equations describing the process of conversion of coke ash residue in an oxygen-enriched vapor-air mixture, a non-stationary model of solid fuel gasification in a fixed layer is built. This model takes into account an interphase convective heat transfer, radiation-conductive heat transfer of the solid phase, radiant and conductive heat exchange of the layer with the reactor wall, heterogeneous and homogeneous chemical reactions, gravity forces and aerodynamic drag. The proposed model allows to obtain detailed information about the geometric, aerodynamic, thermal and physicochemical parameters of gasification of solid fuel in a fixed bed at different pressures at any time. Bibl. 7, Fig. 1.

Author Biographies

B.B. Rokhman, Thermal Energy Technology Institute of National Academy of Sciences of Ukraine, Kyiv

Doctor of Technical Sciences

V.P. Klius, Institute of Renewable Energy of the National Academy the Sciences of Ukraine, Kyiv

Candidate of Technical Sciences, Associate professor

S.V. Kluis, Institute of Renewable Energy of the National Academy the Sciences of Ukraine, Kyiv

CandidateofTechnical Sciences

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Published
2022-03-18
How to Cite
Rokhman, B., Klius, V., & Kluis, S. (2022). MATHEMATICAL MODELING AND NUMERICAL STUDY OF BIOMASS FIXED CARBON GASIFICATION IN A DENSE BED AT ATMOSPHERIC PRESSURE. PART 1. THEORETICAL DESCRIPTION OF COKE PARTICLES CONVERSION IN A FIXED BED. Energy Technologies & Resource Saving, (1), 17-23. https://doi.org/10.33070/etars.1.2022.02