scholarly journals Determination of a Complete Conversion Model for Gasification of Lignite Char

2020 ◽  
Vol 10 (6) ◽  
pp. 1916
Author(s):  
Christian Heinze ◽  
Eric Langner ◽  
Jan May ◽  
Bernd Epple

The conversion of solid fuels via gasification is a viable method to produce valuable fuels and chemicals or electricity while also offering the option of carbon capture. Fluidized bed gasifiers are most suitable for abundantly available low-rank coal. The design of these gasifiers requires well-developed kinetic models of gasification. Numerous studies deal with single aspects of char gasification, like influence of gas compositions or pre-treatment. Nevertheless, no unified theory for the gasification mechanisms exists that is able to explain the reaction rate over the full range of possible temperatures, gas compositions, carbon conversion, etc. This study aims to demonstrate a rigorous methodology to provide a complete char gasification model for all conditions in a fluidized bed gasifier for one specific fuel. The non-isothermal thermogravimetric method was applied to steam and CO2 gasification from 500 °C to 1100 °C. The inhibiting effect of product gases H2 and CO was taken into account. All measurements were evaluated for their accuracy with the Allan variance. Two reaction models (i.e., Arrhenius and Langmuir–Hinshelwood) and four conversion models (i.e., volumetric model, grain model, random pore model and Johnson model) were fitted to the measurement results and assessed depending on their coefficient of determination. The results for the chosen char show that the Langmuir–Hinshelwood reaction model together with the Johnson conversion model is most suitable to describe the char conversion for both steam and CO2 gasification of the tested lignite. The coefficient of determination is 98% and 95%, respectively.

Fuel ◽  
1986 ◽  
Vol 65 (12) ◽  
pp. 1688-1693 ◽  
Author(s):  
Tadafumi Adschiri ◽  
Tohru Shiraha ◽  
Toshinori Kojima ◽  
Takehiko Furusawa

2019 ◽  
Vol 147 ◽  
pp. 602-609 ◽  
Author(s):  
Shuai Tong ◽  
Lin Li ◽  
Lunbo Duan ◽  
Changsui Zhao ◽  
Edward John Anthony

2018 ◽  
Vol 215 ◽  
pp. 348-355 ◽  
Author(s):  
Zhaohui Chen ◽  
Yunjia Li ◽  
Dengguo Lai ◽  
Sulong Geng ◽  
Qi Zhou ◽  
...  

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 7
Author(s):  
Haifei Lin ◽  
Yang Bai ◽  
Jingting Bu ◽  
Shugang Li ◽  
Min Yan ◽  
...  

Medium and low-rank coal from the Zhunnan coalfield of Xinjiang in China was investigated for quantitatively characterizing its range of aperture structure. The pore parameters were determined by nitrogen adsorption at low temperature and mercury injection at high pressure, and the full aperture was determined. The FHH model, Menger model, Sierpinski model, and a thermodynamic model were used to calculate the comprehensive fractal dimension of the coal samples over the full range of aperture. The fractal characteristics of the pores of medium- and low-rank coal were quantitatively analyzed, which provided a reference for the overall characterization of pore structure heterogeneity in this coalfield. The results show that the FHH model and thermodynamic model more accurately calculate the fractal dimensions of less and greater than the joint pore position, respectively. The comprehensive fractal dimension of the low-rank coal pore is 2.8005–2.8811 and that of medium rank coal is 2.5710–2.6147. When compared with the medium-rank coal, pores of the low-rank coal are more developed and they exhibit a more complex structure with stronger heterogeneity. The comprehensive fractal dimension of the pores is a negative correlation with average pore size, vitrinite content, and maximum vitrinite reflectance, and positive correlation with pore volume, pore specific surface area, inertinite content, and exinite content.


2014 ◽  
Vol 25 (6) ◽  
pp. 811-823 ◽  
Author(s):  
Md Shahinoor Islam ◽  
Tao Dong ◽  
Kerry N. McPhedran ◽  
Zhiya Sheng ◽  
Yanyan Zhang ◽  
...  

2009 ◽  
Vol 29 (6) ◽  
pp. 317-332 ◽  
Author(s):  
Nenad Sarunac ◽  
Edward K. Levy ◽  
Mark Ness ◽  
Charles W. Bullinger ◽  
Jonathan P. Mathews ◽  
...  

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