[article]
Titre : |
Development of an entrained flow gasifier model for process optimization study |
Type de document : |
texte imprimé |
Auteurs : |
Enrico Biagini, Auteur ; Alessio Bardi, Auteur ; Gabriele Pannocchia, Auteur |
Année de publication : |
2009 |
Article en page(s) : |
pp. 9028–9033 |
Note générale : |
Chemical engineering |
Langues : |
Anglais (eng) |
Mots-clés : |
Gasifier model Coal gasification Hydrogen |
Résumé : |
Coal gasification is a versatile process to convert a solid fuel in syngas, which can be further converted and separated in hydrogen, which is a valuable and environmentally acceptable energy carrier. Different technologies (fixed beds, fluidized beds, entrained flow reactors) are used, operating under different conditions of temperature, pressure, and residence time. Process studies should be performed for defining the best plant configurations and operating conditions. Although “gasification models” can be found in the literature simulating equilibrium reactors, a more detailed approach is required for process analysis and optimization procedures. In this work, a gasifier model is developed by using AspenPlus as a tool to be implemented in a comprehensive process model for the production of hydrogen via coal gasification. It is developed as a multizonal model by interconnecting each step of gasification (preheating, devolatilization, combustion, gasification, quench) according to the reactor configuration, that is an entrained flow reactor. The model removes the hypothesis of equilibrium by introducing the kinetics of all steps and solves the heat balance by relating the gasification temperature to the operating conditions. The model allows to predict the syngas composition as well as quantify the heat recovery (for calculating the plant efficiency), “byproducts”, and residual char. Finally, in view of future works, the development of a “gasifier model” instead of a “gasification model” will allow different reactor configurations to be compared. |
En ligne : |
http://pubs.acs.org/doi/abs/10.1021/ie801804g |
in Industrial & engineering chemistry research > Vol. 48 N° 19 (Octobre 2009) . - pp. 9028–9033
[article] Development of an entrained flow gasifier model for process optimization study [texte imprimé] / Enrico Biagini, Auteur ; Alessio Bardi, Auteur ; Gabriele Pannocchia, Auteur . - 2009 . - pp. 9028–9033. Chemical engineering Langues : Anglais ( eng) in Industrial & engineering chemistry research > Vol. 48 N° 19 (Octobre 2009) . - pp. 9028–9033
Mots-clés : |
Gasifier model Coal gasification Hydrogen |
Résumé : |
Coal gasification is a versatile process to convert a solid fuel in syngas, which can be further converted and separated in hydrogen, which is a valuable and environmentally acceptable energy carrier. Different technologies (fixed beds, fluidized beds, entrained flow reactors) are used, operating under different conditions of temperature, pressure, and residence time. Process studies should be performed for defining the best plant configurations and operating conditions. Although “gasification models” can be found in the literature simulating equilibrium reactors, a more detailed approach is required for process analysis and optimization procedures. In this work, a gasifier model is developed by using AspenPlus as a tool to be implemented in a comprehensive process model for the production of hydrogen via coal gasification. It is developed as a multizonal model by interconnecting each step of gasification (preheating, devolatilization, combustion, gasification, quench) according to the reactor configuration, that is an entrained flow reactor. The model removes the hypothesis of equilibrium by introducing the kinetics of all steps and solves the heat balance by relating the gasification temperature to the operating conditions. The model allows to predict the syngas composition as well as quantify the heat recovery (for calculating the plant efficiency), “byproducts”, and residual char. Finally, in view of future works, the development of a “gasifier model” instead of a “gasification model” will allow different reactor configurations to be compared. |
En ligne : |
http://pubs.acs.org/doi/abs/10.1021/ie801804g |
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