In pulverized co-firing and gasification facilities such as coal and biomass power plants, ash deposition, fouling and slagging, may significantly affect heat exchange and gasification performance Deposit growth dramatically increases production loss and may lead to the shutdown of the facility. Computational Fluid Dynamics (CFD) calculations can be used as a valid textquoterightnon-intrusivetextquoteright investigation tool in an efficient problem solving strategy. At TU Munich, an ongoing project aims to develop a dedicated numerical tool to monitor and predict deposition, deposit growth and slagging dynamics in pulverized solid fuel furnaces and gasifiers. A novel in-house code was developed to track solid particles and predict deposit growth and slag dynamics. The adopted numerical strategy uses a Mesh-Meshless approach combined with a Lagrangian particle tracking. Ash particles are tracked in a Lagrangian frame postprocessing CFD gas phase results (RANS or LES). Growth and thermo-mechanical properties of the deposit are simultaneously evaluated. Slag dynamics is computed by using a meshless approach: deposit mesh nodes are considered point-mass particles interacting only with mesh connected node-particle neighbours. Forces are modelled applying a viscoelastic model and calculated by means of a Galerking weight (kernel) function. The final goalis to mathematically describe both particle adhesion and slag dynamics applying visco-elastic models using a mesh-meshless approach aiming to investigate slag/slurry dynamics. Preliminary numerical results on one layer encourage further development on this subject.     «

In pulverized co-firing and gasification facilities such as coal and biomass power plants, ash deposition, fouling and slagging, may significantly affect heat exchange and gasification performance Deposit growth dramatically increases production loss and may lead to the shutdown of the facility. Computational Fluid Dynamics (CFD) calculations can be used as a valid textquoterightnon-intrusivetextquoteright investigation tool in an efficient problem solving strategy. At TU Munich, an ongoing proj...     »