Optimization of operating conditions for NO reduction in flameless combustion of hydrogen using PSO algorithm

Flameless combustion has attracted significant interest in recent years due to its high thermal efficiency, low pollutant emissions and homogenized temperature in the combustion chamber. In this paper, flameless combustion of hydrogen is modelled by use of a network of ideal reactors including perfect stirred reactors (PSR) and plug flow reactors (PFR). It is shown that flameless combustion suppresses thermal NOx formation. The effective parameters on flameless combustion are also investigated, that include flue gas recirculation, preheated air temperature, and equivalence ratio. Finally, particle swarm optimization (PSO) algorithm is applied to optimize flameless combustion in order to reduce NO emissions with respect to the effective parameters.

Keywords:

Flameless combustion , hydrogen , particle swarm optimization (PSO) algorithm , plug flow reactor , perfect stirred reactor