The development of carbon capture and storage (CCS) technology is important to permit the use of fossil fuels while honouring commitments to curb greenhouse gas emissions. Coal is a valuable global resource, which is widely available around the world, however its detrimental e ect on climate change will limit its use in a future with strict controls over carbon emissions. Oxyfuel combustion is a promising CCS technology that is being actively pursued in the development of large scale demonstration projects. Under the oxyfuel process for CCS, the combustion gas is replaced with a mixture of recycled ue gas and enriched oxygen. The resulting combustion environment can vary signi cantly from traditional air- red combustion. The development of modelling capabilities will greatly improve the optimisation process to develop oxyfuel technology into an economically viable prospect. This study evaluates the use of large eddy simulation (LES) and Reynoldsaveraged Navier Stokes (RANS) models on the prediction of thermal radiation during coal combustion for both air- red and oxyfuel operation in a pilot-scale 250 kWth furnace. The furnace is part of the UKCCSRC Pilot-scale Advanced Capture Technology (PACT) facilities and was designed for detailed analysis of the combustion process. Two radiation models were evaluated during the RANS calculations, the widely used weighted sum of grey gases (WSGG) andthe full-spectrum correlated k (FSCK) model, while the LES case was calculated using the FSCK radiation model. The results show that the LES solutions are in better agreement with measured values than the RANS predictions for both air- red and oxyfuel coal combustion, however LES demands considerably more computational resources.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)