Biomass oxygen/steam gasification in a pressurized bubbling fluidized bed: Agglomeration behavior

2016 ◽  
Vol 172 ◽  
pp. 230-250 ◽  
Author(s):  
Chunguang Zhou ◽  
Christer Rosén ◽  
Klas Engvall
2019 ◽  
Vol 142 (2) ◽  
Author(s):  
Krzysztof Głód ◽  
Janusz Lasek ◽  
Krzysztof Słowik ◽  
Jarosław Zuwała ◽  
Daniel Nabagło ◽  
...  

Abstract During the combustion of solid fuels, the undesired effects of ash transformation include bed agglomeration, slagging, and fouling processes. In particular, a problematic consequence of bed agglomeration is the defluidization process, resulting from the disappearance of gaseous bubbles that are created behind air distributors. Different solutions can be applied against the agglomeration process. One possible method is to apply some additives that influence the ash behavior, thus inhibiting the agglomeration process. This paper presents the results of investigations into ash-related issues in a laboratory-scale bubbling fluidized bed (BFB) reactor. In particular, the impact of additives (kaolin, halloysite, fly ash, and the residuals from wet desulfurization system (IMOS)) on bed agglomeration was investigated. It was found that the addition of these compounds increased the defluidization time from ∼109 min (without additive) to ∼285 min in the BFB (with the addition of 0.1 g/min of kaolin). The morphology of additive (kaolin and halloysite) transformation after their addition into the combustion chamber was discussed. Another interesting phenomenon is that residuals from the IMOS exhibited the ability to be an additive against the agglomeration process. The defluidization time can be also significantly increased by the simultaneous application of the additive and the control of fluidization air velocity. The procedure of periodical bed moving by impulse primary air feeding against defluidization (PADM) is suggested and discussed. The PADM procedure resulted in a 36% reduction of additive, thus reducing the cost of measures against ash-related issues.


2019 ◽  
Vol 44 (13) ◽  
pp. 6448-6460 ◽  
Author(s):  
Tian Qi ◽  
Tingzhou Lei ◽  
Beibei Yan ◽  
Guanyi Chen ◽  
Zhongshan Li ◽  
...  

2018 ◽  
Vol 12 (5) ◽  
pp. 735-748 ◽  
Author(s):  
Zakir Khan ◽  
Suzana Yusup ◽  
Murni M Ahmad ◽  
Abrar Inayat ◽  
Muhammad Naqvi ◽  
...  

2017 ◽  
Vol 31 (2) ◽  
pp. 1702-1711 ◽  
Author(s):  
Bijan Hejazi ◽  
John R. Grace ◽  
Xiaotao Bi ◽  
Andrés Mahecha-Botero

2021 ◽  
Vol 11 (6) ◽  
pp. 2877
Author(s):  
Nhut M. Nguyen ◽  
Falah Alobaid ◽  
Bernd Epple

A comprehensive process model is proposed to simulate the steam gasification of biomass in a bubbling fluidized bed reactor using the Aspen Plus simulator. The reactor models are implemented using external FORTRAN codes for hydrodynamic and reaction kinetic calculations. Governing hydrodynamic equations and kinetic reaction rates for char gasification and water-gas shift reactions are obtained from experimental investigations and the literature. Experimental results at different operating conditions from steam gasification of torrefied biomass in a pilot-scale gasifier are used to validate the process model. Gasification temperature and steam-to-biomass ratio promote hydrogen production and improve process efficiencies. The steam-to-biomass ratio is directly proportional to an increase in the content of hydrogen and carbon monoxide, while gas yield and carbon conversion efficiency enhance significantly with increasing temperature. The model predictions are in good agreement with experimental data. The mean error of CO2 shows the highest value of 0.329 for the steam-to-biomass ratio and the lowest deviation is at 0.033 of carbon conversion efficiency, respectively. The validated model is capable of simulating biomass gasification under various operating conditions.


2008 ◽  
Vol 22 (3) ◽  
pp. 1980-1985 ◽  
Author(s):  
Koichi Matsuoka ◽  
Koji Kuramoto ◽  
Takahiro Murakami ◽  
Yoshizo Suzuki

Energy ◽  
2015 ◽  
Vol 80 ◽  
pp. 133-147 ◽  
Author(s):  
Mohammad S. Masnadi ◽  
John R. Grace ◽  
Xiaotao T. Bi ◽  
C. Jim Lim ◽  
Naoko Ellis ◽  
...  

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