Abstract
The deposition of ash particles in pulverized coal combustion provokes several problems for the operation of utility boilers. In order to avoid such problems, power plant operators have great interest in predicting the slagging and fouling tendency of the used fuel.For this purpose, an industrially highly relevant tool for the prediction of slagging and fouling which is applicable on high performance computing platforms such as vector machines or massively parallel systems has been developed. The model has been implemented into the CFD code AIOLOS and couples several relevant processes that are crucial for the build-up of depositions in power plants. It accounts for the flight of the ash particles through the furnace, the corresponding interaction with the flue gas and considers several deposition mechanisms on walls and tube bundles. In case of a predicted contact between a particle and a surface, the deposition rate is calculated based on the stickiness of the particle and the surface which is correlated with the melting behaviour. The model also takes into account the change of the heat transfer resistance of the already deposited particles and consequently the influence on the flue gas temperature.The model has exemplary been applied to a utility boiler with a thermal input of 730 MW (360 MWel) in order to demonstrate the capability of this engineering tool.
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Acknowledgements
This work and the specific COORETEC project is funded and supported by Bundesministerium für Wirtschaft und Technologie (BMWi) under grant number 0327744A,EnBW Kraftwerke AG, E.ON Energie AG, RWE Power AG, Vattenfall Europe Generation AG, Steag GmbH, ALSTOM Boiler Deutschland GmbH, Hitachi Power Europe GmbH, AZT Risk & Technology GmbH, Salzgitter Mannesmann Stainless Tubes GmbH, Sandvik Materials Technology Deutschland GmbH, ThyssenKrupp VDM GmbH, V&M Deutschland GmbH. The other project partners: MPA Universität Stuttgart, IEF2 Forschungszentrum Jülich, IWBT TU-Braunschweig and EST TU-Darmstadt are gratefully acknowledged for helpful discussions and suggestions. Computational resources have been provided by the High Performance Computing Center Stuttgart (HLRS).
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Lemp, O., Schnell, U., Scheffknecht, G. (2013). Lagrangian Approach for the Prediction of Slagging and Fouling in Pulverized Coal Combustion. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ‘12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33374-3_17
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DOI: https://doi.org/10.1007/978-3-642-33374-3_17
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