Reduced-order modeling for the control of selective noncatalytic reduction of nitrogen monoxide - Archive ouverte HAL
Article Dans Une Revue AIChE Journal Année : 2016

Reduced-order modeling for the control of selective noncatalytic reduction of nitrogen monoxide

Résumé

The design of a reduced-order model is discussed to help in the control of selective noncatalytic reduction (SNCR) of nitrogen monoxide. Instead of relying on a look-up table of nominal operating points, it is proposed to solve for the time evolution of a set of stochastic particles interacting through a model for turbulent mixing and a reduced chemistry. Each particle is representative of a fraction of the mass flowing in the system in gaseous or liquid form. To calibrate and validate the reduced-order model, which runs in a few minutes on a desktop computer, reference three-dimensional and unsteady large-eddy simulation is performed in the complex geometry of a real incinerator. This is done solving the full set of conservation equations of mass, momentum, and energy over a 162 million cells mesh. The results confirm the possibility of real-time SNCR optimization from the solving of partial differential equations. (c) 2015 American Institute of Chemical Engineers AIChE J, 62: 928-938, 2016

Dates et versions

hal-01611193 , version 1 (05-10-2017)

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Citer

Benjamin Farcy, Luc Vervisch, Pascale Domingo, Nicolas Perret. Reduced-order modeling for the control of selective noncatalytic reduction of nitrogen monoxide. AIChE Journal, 2016, 62 (3), pp.928-938. ⟨10.1002/aic.15079⟩. ⟨hal-01611193⟩
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