Deposition and slag flow modeling with SPH for a generic gasifier with different coal ashes using fusibility data.

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Bibliographic Details
Title: Deposition and slag flow modeling with SPH for a generic gasifier with different coal ashes using fusibility data.
Authors: Kurowski, M.-P.1 philipp.kurowski@tum.de, Spliethoff, H.1,2
Source: Fuel (0016-2361). May2016, Vol. 172, p218-227. 10p.
Subjects: Slag, Fluid flow, Coal ash, Coal gasification, Euler's numbers, Hydrodynamics
Abstract: In the simulation of entrained flow reactors for gasification processes, not only the gasification reactions are of interest, but also an understanding of the behavior of the ash particles is crucial since the impact on the operating conditions due to slagging cannot be neglected. In this work a new approach for modeling slagging processes was developed. Most of the conventional models for slag flows are based on an Eulerian approach, but a Lagrangian approach could give a better representation of the free surfaces and the multiphase flow. Therefore, the particle method SPH (Smoothed Particle Hydrodynamics) was chosen to model the slag flow. This method offers advantages over the conventional models for slagging, especially in the field of multiphase simulations. Free surfaces are naturally represented and even break-ups of the slag deposit can be simulated without numerical instability. Here the hydrodynamic SPH method is adjusted by taking into account the non-newtonian behavior of the partly solidified slag, depending on the coal ash composition, temperature and thermochemical properties. The latter was achieved by using FactSage. The interface between liquid and solid slag is represented by a multiphase model. The deposition rate was given as an input parameter to determine the deposition build-up and subsequently the melting process was calculated. The deposition and slag-flow happens simultaneously. To model the complex flow behavior of partly molten slag, the ash fusion test results for two specific coal types were used to determine duration and form of the melting process. Combined with the FactSage data, the slag flow was simulated for a generic gasifier wall and the slag build-up of the two different coal ashes was compared between each other. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:In the simulation of entrained flow reactors for gasification processes, not only the gasification reactions are of interest, but also an understanding of the behavior of the ash particles is crucial since the impact on the operating conditions due to slagging cannot be neglected. In this work a new approach for modeling slagging processes was developed. Most of the conventional models for slag flows are based on an Eulerian approach, but a Lagrangian approach could give a better representation of the free surfaces and the multiphase flow. Therefore, the particle method SPH (Smoothed Particle Hydrodynamics) was chosen to model the slag flow. This method offers advantages over the conventional models for slagging, especially in the field of multiphase simulations. Free surfaces are naturally represented and even break-ups of the slag deposit can be simulated without numerical instability. Here the hydrodynamic SPH method is adjusted by taking into account the non-newtonian behavior of the partly solidified slag, depending on the coal ash composition, temperature and thermochemical properties. The latter was achieved by using FactSage. The interface between liquid and solid slag is represented by a multiphase model. The deposition rate was given as an input parameter to determine the deposition build-up and subsequently the melting process was calculated. The deposition and slag-flow happens simultaneously. To model the complex flow behavior of partly molten slag, the ash fusion test results for two specific coal types were used to determine duration and form of the melting process. Combined with the FactSage data, the slag flow was simulated for a generic gasifier wall and the slag build-up of the two different coal ashes was compared between each other. [ABSTRACT FROM AUTHOR]
ISSN:00162361
DOI:10.1016/j.fuel.2016.01.020