2003
DOI: 10.1016/s0196-8904(03)00025-6
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Prediction of the working parameters of a wood waste gasifier through an equilibrium model

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Cited by 254 publications
(148 citation statements)
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“…The molar percentage of CO 2 is observed to increase with an increase in ER, similar to the trend established by Altafini et al (2003). In reality, the trend of CO 2 could be correlated with the trend opposite to that for CO. A decrease in concentration of CO 2 indicates better gasification efficiency (Zainal et al 2002).…”
Section: B) Effect Of Er On Co 2 and Chsupporting
confidence: 80%
See 1 more Smart Citation
“…The molar percentage of CO 2 is observed to increase with an increase in ER, similar to the trend established by Altafini et al (2003). In reality, the trend of CO 2 could be correlated with the trend opposite to that for CO. A decrease in concentration of CO 2 indicates better gasification efficiency (Zainal et al 2002).…”
Section: B) Effect Of Er On Co 2 and Chsupporting
confidence: 80%
“…Jayah et al (2003) observed that a lower temperature reduces the reaction rate and thereby the conversion efficiency. Altafini et al (2003) stated that equilibrium models are especially good at high temperatures where the reaction temperatures are above 1500 K. The temperatures generally assumed for equilibrium modeling by different researchers were not coherent and were predominantly modeled between 800 -1000 K. Moreover the zone of the gasifier having this temperature was also not reported. Prins et al (2006) remarked that for fluidized bed gasifiers, the average bed temperature can be used as the process temperature, whereas for downdraft gasifiers, the outlet temperature at the throat exit should be used.…”
Section: C) Effect Of Er On N 2 and H 2mentioning
confidence: 99%
“…They concluded that the equilibrium model fits the real process well. Similar conclusions for biomass gasification are presented by the same authors [3], simulating the gasifying process in a downdraft gasifier, where the object of study was the effect of the biomass moisture content on the final gas composition assuming chemical equilibrium. Lapuerta et al [4] predicted the product gas composition as a function of the fuel/ air ratio by means of an equilibrium model.…”
Section: Introductionsupporting
confidence: 72%
“…In [51], a similar review is proposed but including artificial neural networks and Aspen Plus gasification models, while [52] focuses on mathematical and computational approaches for design of biomass gasification for hydrogen production. In [53], biomass gasification in bubbling and circulating fluidized bed gasifiers is reviewed, including both black-box models and computational fluid-dynamic ones or comprehensive fluidization models, with semi-empirical correlations.…”
Section: Gasification Technologies and Modelling Approachesmentioning
confidence: 99%