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Reduced‐order modeling for the control of selective noncatalytic reduction of nitrogen monoxide
Author(s) -
Farcy Benjamin,
Vervisch Luc,
Domingo Pascale,
Perret Nicolas
Publication year - 2016
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.15079
Subject(s) - syngas , chemistry , reduction (mathematics) , mixing (physics) , large eddy simulation , conservation of mass , carbon monoxide , partial differential equation , turbulence , mechanics , mathematics , physics , mathematical analysis , organic chemistry , geometry , quantum mechanics , catalysis , hydrogen
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. © 2015 American Institute of Chemical Engineers AIChE J , 62: 928–938, 2016