The Gibbs Free Energy Gradient Method for RDF gasification modelling

The Gibbs Free Energy Gradient Method for RDF gasification modelling Starting from an equilibrium model for gasification, this research group has devised a new mathematical model, the so called Gibbs Free Energy Gradient Method Model (GMM). This model permits to bypass the semi-qualitative view, typical of equilibrium models, which assume very restrictive hypotheses such as equilibrium state for all the reactions involved in gasification process, complete conversion of carbon matter, gasification products in gas phase only. GMM model overcomes these limitations providing a quantitative point of view, even though the hypothesis of no tar production affects both models. GMM model has been applied to RDF gasification, supplying reliable results in the gasification process analysis. Model computations in terms of gas yield, gas composition, low heating value and H 2 yield, have been compared with literature results, showing that computed data are in good agreement with experimental ones. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Fuel Elsevier

The Gibbs Free Energy Gradient Method for RDF gasification modelling

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Publisher
Elsevier
Copyright
Copyright © 2010 Elsevier Ltd
ISSN
0016-2361
D.O.I.
10.1016/j.fuel.2010.12.022
Publisher site
See Article on Publisher Site

Abstract

Starting from an equilibrium model for gasification, this research group has devised a new mathematical model, the so called Gibbs Free Energy Gradient Method Model (GMM). This model permits to bypass the semi-qualitative view, typical of equilibrium models, which assume very restrictive hypotheses such as equilibrium state for all the reactions involved in gasification process, complete conversion of carbon matter, gasification products in gas phase only. GMM model overcomes these limitations providing a quantitative point of view, even though the hypothesis of no tar production affects both models. GMM model has been applied to RDF gasification, supplying reliable results in the gasification process analysis. Model computations in terms of gas yield, gas composition, low heating value and H 2 yield, have been compared with literature results, showing that computed data are in good agreement with experimental ones.

Journal

FuelElsevier

Published: Apr 1, 2011

References

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