2012
DOI: 10.5402/2012/437186
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Modeling Performance of High-Temperature Biomass Gasification Process

Abstract: Biomass utilization is becoming a subject of increasing interest as an alternative to clean fuel. A novel gasification process using highly preheated air gasifier using agricultural residue such as sugar bagasse, rice husks, and palm stem widely available in Tanzania is presented. The study examines, irreversibilities making the gasifier the least efficient unit in the gasification process employing a thermodynamic equilibrium model allowing predicting the main product gas composition CO, CO 2 , H 2 , and CH 4… Show more

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Cited by 16 publications
(9 citation statements)
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“…Mhilu [ 5 ] has derived a thermodynamic equilibrium model to predict the main product gas composition CO, CO 2 , H 2 , and CH 4 for gasification of different biomass materials. The gasification regime is investigated at temperatures ranging from 800 K to 1400 K and at equivalence ratio (ER) values between 0.3 and 0.4.…”
Section: Introductionmentioning
confidence: 99%
“…Mhilu [ 5 ] has derived a thermodynamic equilibrium model to predict the main product gas composition CO, CO 2 , H 2 , and CH 4 for gasification of different biomass materials. The gasification regime is investigated at temperatures ranging from 800 K to 1400 K and at equivalence ratio (ER) values between 0.3 and 0.4.…”
Section: Introductionmentioning
confidence: 99%
“…In this way, a larger percentage of feedstocks can be converted into syngas. Several studies indicate that the application of preheated airsteam is able to enhance syngas quality and raise the overall energy efficiency of the process [9,10].…”
Section: Introductionmentioning
confidence: 99%
“…While quantifying experimentally the heat losses during the gasification process, it was found a large amount of energy leaving the system, around 85%, regardless of the moisture content. For this reason, it is not desirable to establish a comparison with works developed under the assumptions of the adiabatic reactor and equilibrium modeling [12,19,[41][42][43]. These assumptions lead to an inaccurate syngas yield, since the temperature levels become much higher than reality and sometimes unreal, carrying the Gibbs minimization process to overestimate CO and H 2 and underestimate or even neglect CxHy concentration.…”
Section: Exergy Balancementioning
confidence: 99%