Philip J. Smith1, Jeremy N. Thornock1, and Stanislav Borodai2. (1) University of Utah, 155 S. 1452 E. Rm 380, Salt Lake City, UT 84112, (2) Chemical Engineering, University of Utah, 155 S. 1452 E. Rm 380, Salt Lake City, 84112
Coal is the nation's largest fossil fuel resource and is responsible for over 50% of the United State's electricity generation. With a 250-year reserve/production ratio of this domestic, low-cost fuel, the U.S. is likely to continue using coal as a major component of its energy portfolio for the foreseeable future. However, the issue of climate change is raising questions about coal utilization in a carbon-constrained world. In particular, the reduction of greenhouse gases, such as CO2, has been identified as necessary to stem an anthropogenic warming trend. With such a motivation, we investigate the use of a Large Eddy Simulation (LES) tool using a moment method to represent the coal phase particle distribution. The LES tool, named ARCHES, is a massively parallel, variable density, finite-volume code. The ARCHES simulation specifically focuses on validating computational results of the near burner region of an oxy-fuel coal combustor. Using ARCHES, we investigate three critical questions with simulation: 1) Can we predict ignition/kinetic/aerodynamic interactions in the near burner region? 2) Can we predict heat transfer profiles in a furnace under oxy-coal combustion conditions? 3) How much residual N2, NO, Hg, trace metals, and other contaminants are present in the furnace effluent?