scholarly journals A Modified Random Pore Model for the Kinetics of Char Gasification

BioResources ◽  
2014 ◽  
Vol 9 (2) ◽  
Author(s):  
Jian-Liang Zhang ◽  
Guang-Wei Wang ◽  
Jiu-Gang Shao ◽  
Hai-Bin Zuo
2016 ◽  
Vol 18 (1) ◽  
pp. 93-98 ◽  
Author(s):  
S.M.M. Nouri ◽  
H. Ale Ebrahim

Abstract In this work, a modified random pore model was developed to study the kinetics of the carbonation reaction of CaO. Pore size distributions of the CaO pellets were measured by nitrogen adsorption and mercury porosimetry methods. The experiments were carried out in a thermogravimeter at different isothermal temperatures and CO2 partial pressures. A fractional concentration dependency function showed the best accuracy for predicting the intrinsic rate of reaction. The activation energy was determined as 11 kcal/mole between 550–700°C. The effect of product layer formation was also taken into account by using the variable product layer diffusivity. Also, the model was successfully predicted the natural lime carbonation reaction data extracted from the literature.


2003 ◽  
Vol 17 (4) ◽  
pp. 961-970 ◽  
Author(s):  
Hao Liu ◽  
Chunhua Luo ◽  
Masahiro Kaneko ◽  
Shigeru Kato ◽  
Toshinori Kojima

2014 ◽  
Vol 618 ◽  
pp. 316-320
Author(s):  
Hua Fei ◽  
Jin Ming Shi ◽  
Yuan Lin Li ◽  
Kai Luo

The gasification of straw stalk in CO2 environment was studied by isothermal thermogravimetric analysis. The characteristics of rice straw and maize stalk gasification at different temperatures were examined under CO2 atmosphere. The relationship between reaction time and carbon conversion of two biomass chars was analyzed by the random pore model (RPM), and compared with the simulation of the shrinking core reaction model (SCRM). The results show that the random pore model is better to predict the experimental data at different temperatures. This means that the characteristics of pore structure for the influence of biomass chars gasification is well reflected by parameter ψ used in RPM. It indicates that the RPM can be applied to the comprehensive simulation of biomass chars gasification in CO2 environment.


1994 ◽  
Vol 6 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Sanjeev S. Tambe ◽  
Srinivas S. Yerrapragada ◽  
K. L. Gauri

Author(s):  
Guang-wei Wang ◽  
Jian-liang Zhang ◽  
Wei-wei Geng ◽  
Jiu-gang Shao

2021 ◽  
Author(s):  
Lang Liu ◽  
Jingsong Zeng ◽  
Qingrui Jiao ◽  
Shan Ren ◽  
Jian Yang ◽  
...  

Abstract In the present study, the CO2 gasification behaviours of the co-pyrolysis chars with coal and biomass as feedstock were investigated using isothermal thermogravimetric analysis (TGA) at 950–1150 °C. The TGA results demonstrated that the char gasification reactivity was improved at higher biomass composition. In addition, the char characteristics results evaluation revealed that biomass promoted the development of a porous structure and inhibited the formation of graphite-like carbon during the co-pyrolysis of coal and biomass. Moreover, an extended random pore model (eRPM) was proposed to define the char gasification kinetics of coal and biomass. It was found that the activation energies of chars decreased with increasing biomass composition. Lastly, the relationship between the gasification reactivity and char characteristics was evaluated.


2015 ◽  
pp. 841-848
Author(s):  
Guang-Wei Wang ◽  
Jian-Liang Zhang ◽  
Wei-Wei Geng ◽  
Jiu-gang Shao

Fuel ◽  
1986 ◽  
Vol 65 (10) ◽  
pp. 1364-1367 ◽  
Author(s):  
Chuang-tao Guo ◽  
Li-ming Zhang

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