The calcium looping (CaL) process
usually employs a dual-fluidized bed (DFB) solid circulating unit.
In the regenerator (calcinator or calciner), decomposition of CaCO3 proceeds. To supply the heat of decomposition, oxyfuel combustion
of coal is conducted. However, since coal contains nitrogen, the NO
x
formation occurs during oxyfuel combustion.
Because of the fact that NO
x
formation
and destruction during combustion of solid fuels in a fluidized bed
is a complex process, a predictive approach of NO
x
emissions has not yet been sufficiently recognized, especially
during oxyfuel combustion conditions in the CaL systems. The paper
introduces a regression-based method for the prediction of NO
x
emissions from a CaL DFB experimental unit.
Effects of fuel type, excess oxygen feed, and NO addition to primary
or secondary feed gas on NO
x
emissions
in the regenerator were evaluated. The presented way constitutes a
straightforward method to run a complementary technique in relation
to other methods of data handling, including the programmed computing
approach and measurements. The developed model can be simply employed
by scientists as well as engineers for optimization purposes.