The product COCO2 ratio from petroleum coke spheres in fluidized bed combustion

Linjewile, Temi M.; Agarwal, Pradeep K.

doi:10.1016/0016-2361(94)p4322-s

Cited by 24 publications

(8 citation statements)

References 16 publications

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“…The model uses the correlations given by Matsui et al [92] and Linjewile et al [94] with splitting factors 1.3 and 1.2 for the temperature range of 700-800 • C. A solid carbonaceous residue constitutes the unreacted solid from the first stage. The equilibrium is calculated, including the preliminary conversion process, by the minimization of the objective function, mass and energy balances for the two sequential stages.…”

Section: Materazzi Et Al (2013) [49]mentioning

confidence: 99%

A Holistic Review on Biomass Gasification Modified Equilibrium Models

et al. 2019

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Biomass gasification is realized as a settled process to produce energy in a sustainable form, between all the biomass-based energy generation routes. Consequently, there are a renewed interest in biomass gasification promoting the research of different mathematical models to enlighten and comprehend gasification process complexities. This review is focused on the thermodynamic equilibrium models, which is the class of models that seems to be more developed. It is verified that the review articles available in the literature do not address non-stoichiometric methods, as well as an ambiguous categorization of stoichiometric and non-stoichiometric methods. Therefore, the main purpose of this article is to review the non-stoichiometric equilibrium models and categorize them, and review the different stoichiometric equilibrium model’s categorization available in the literature. The modeling procedures adopted for the different modeling categories are compared. Conclusion can be drawn that almost all equilibrium models are modified by the inclusion of empirical correction factors that improves the model prediction capabilities but with loss of generality.

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Section: Materazzi Et Al (2013) [49]mentioning

confidence: 99%

A Holistic Review on Biomass Gasification Modified Equilibrium Models

et al. 2019

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“…• The effect of oxygen partial pressure is not well defined. Some workers [28,29] reported no effect of this parameter while others [25 27] observed that the ratio decreases by increasing the oxygen partial pressure.…”

Section: Introductionmentioning

confidence: 98%

Kinetic study of biomass char combustion in a low temperature fluidized bed reactor

Morin

Pécate

Hémati

2018

Chemical Engineering Journal

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The purpose of this work is the kinetic study of biomass char combustion in a low temperature fluidized bed reactor. This char was obtained from fast pyrolysis of beech stick in an annex batch fluidized bed reactor at 923 K and atmospheric pressure. Operating conditions of the combustion were thoroughly characterized so that the reaction takes place in isothermal conditions and a constant oxygen partial pressure. The kinetic study was performed for temperatures up to 643 K, oxygen partial pressures ranging from 5065 to 21273 Pa and cylindrical char particles (D = 4 mm and L = 9 mm). The Volumetric Model was found to be in very good agreement with experimental data. Values of activation energy and reaction order with respect to oxygen are respectively equal to 144 kJ/mol and 0.59. The reaction scheme during char combustion showed that char first reacts with oxygen to form CO which is further oxidized either at the particle surface or in the gas phase to produce CO 2. Besides, it was found that the char reactivity in combustion is higher in a fluidized bed reactor compared to TGA. This was explained by diffusional effects of oxygen and CO oxidation within the crucible in the TGA.

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“…At lower temperatures CO mainly diffuses away from the original carbon particle before burning, but at higher temperatures sand inhibitory effects seem to be negligible and CO does burn to CO 2 close to the carbon (Hayhurst, 1991;Hayhurst and Parmar, 1998;Loeffler and Hofbauer, 2002). This model is contrary to the one where the primary CO/CO 2 ratio is related to the char particle temperature by an Arrhenius expression: [CO]/[CO 2 ]¼A exp(À B/T p ), which was widely employed in the simulation of pulverized coal combustion before (Arthur, 1951;Phillips et al, 1970;Rajan and Wen, 1980;Smoot, 1993;Linjewile and Agarwal, 1995).…”

Section: Sand Inhibitory Effectsmentioning

confidence: 96%

“…Higher char particle temperature will lead to higher combustion rate and shorter residence time. Based on the detailed investigation of the related literature (Stubington, 1985;Linjewile and Agarwal, 1995;Winter et al, 1997;Ravelli et al, 2008), it can be found that the increase of particle temperature due to char burning varies from 10 to 500 K beyond the bed temperature. Fig.…”

Section: Temperature and Diameter Of A Graphite Particlementioning

confidence: 98%