Investigation of the Coal Char Conversion by Thermogravimetric Analysis

2015 ◽  
Vol 792 ◽  
pp. 339-344 ◽  
Author(s):  
Galina Khudyakova ◽  
Pavel Osipov ◽  
Alexander Ryzhkov
Keyword(s):  
Mathematical Modeling ◽  
Thermal Analysis ◽  
Flow Reactor ◽  
Simultaneous Thermal Analysis ◽  
Chemical Conversion ◽  
Coal Char ◽  
Thermogravimetric Method ◽  
Entrained Flow Reactor ◽  
Char Conversion ◽  
Kinetics Of

This paper reports the kinetics of coal char conversion. An experimental technique of simultaneous thermal analysis is presented. The obtained results are compared with other studies of char kinetics reported in the literature. The analysis shows that thermogravimetric method enables to determine input parameters for mathematical modeling of thermo-chemical conversion in an entrained flow reactor.

scholarly journals Non-isothermal TGA study on the combustion reaction kinetics and mechanism of low-rank coal char

RSC Advances ◽  
2018 ◽  
Vol 8 (41) ◽  
pp. 22909-22916 ◽  
Author(s):  
Yingjie Hu ◽  
Zhiqiang Wang ◽  
Xingxing Cheng ◽  
Chunyuan Ma
Keyword(s):  
Thermal Analysis ◽  
Reaction Kinetics ◽  
Coal Char ◽  
Kinetics And Mechanism ◽  
Combustion Reaction ◽  
Low Rank ◽  
Low Rank Coal ◽  
Pyrolytic Char ◽  
Kinetics Of

The combustion reaction kinetics of pyrolytic char of low-rank coal was investigated by using thermal analysis technology.

Kinetics of devolatilization and oxidation of a pulverized biomass in an entrained flow reactor under realistic combustion conditions

2008 ◽  
Vol 152 (4) ◽  
pp. 588-603 ◽  
Author(s):  
Santiago Jiménez ◽  
Pilar Remacha ◽  
Juan C. Ballesteros ◽  
Antonio Giménez ◽  
Javier Ballester
Keyword(s):  
Flow Reactor ◽  
Entrained Flow ◽  
Entrained Flow Reactor ◽  
Kinetics Of

scholarly journals Computational fluid dynamics analysis of char conversion in Sandia’s pressurized entrained flow reactor

2020 ◽  
Vol 91 (7) ◽  
pp. 074103
Author(s):  
Markus Bösenhofer ◽  
Ethan Hecht ◽  
Christopher R. Shaddix ◽  
Bernhard König ◽  
Johannes Rieger ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Flow Reactor ◽  
Dynamics Analysis ◽  
Entrained Flow ◽  
Computational Fluid Dynamics Analysis ◽  
Entrained Flow Reactor ◽  
Char Conversion

scholarly journals Entrained-Flow Coal Gasification Process Simulation with the Emphasis on Empirical Char Conversion Models Optimization Procedure

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1729
Author(s):  
Jakub Mularski ◽  
Norbert Modliński
Keyword(s):  
Experimental Data ◽  
Coal Gasification ◽  
Flow Reactor ◽  
Optimization Procedure ◽  
Cfd Modeling ◽  
Drop Tube ◽  
Substantial Impact ◽  
Entrained Flow ◽  
Entrained Flow Reactor ◽  
Char Conversion

Computational fluid dynamics (CFD) modeling of an entrained-flow reactor is demonstrated and compared with experimental data. The study is focused on char conversion modeling and its impact on gasification simulation results. An innovative procedure of optimizing input data to empirical char conversion kinetic-diffusion model is investigated, based on the complex carbon burnout kinetic model for oxidation (CBK/E) and gasification (CBK/G). The kinetics of the CBK/G model is determined using the data from char gasification experiments in a drop tube reactor. CFD simulations are performed for the laboratory-scale entrained-flow reactor at Brigham Young University for the bituminous coal. A substantial impact of applied kinetic parameters on the in-reactor gas composition and char conversion factor was observed. The effect was most considerable for the reduction zone, where gasification reactions dominate, although a non-negligible impact could also be observed in the flame zone. Based on the quantitative assessment of the incorporated optimization procedure, its application allowed to obtain one of the lowest errors of CO, H2, CO2, and H2O axial distribution with respect to the experimental data. The maximum errors for these species were equal to 18.48, 7.95, 10.15, and 20.22%, respectively, whereas the average errors were equal to 4.82, 5.47, 4.72, and 9.58%, respectively.

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