A low-complexity global optimization algorithm for temperature and pollution control in flames with complex chemistry

L. Debiane (1) , Benjamin Ivorra (1) , Bijan Mohammadi (1) , Franck Nicoud (1) , Thierry Poinsot (2) , Alexandre Ern (3) , Heinz Pitsch (4)

1 I3M - Institut de Mathématiques et de Modélisation de Montpellier
2 IMFT - Institut de mécanique des fluides de Toulouse
3 CERMICS - Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique
4 Department of Mechanical Engineering [Stanford]

Controlling flame shapes and emissions is a major objective for all combustion engineers. Considering the complexity of reacting flows, novel optimization methods are required: this paper explores the application of control theory for partial differential equations to combustion. Both flame temperature and pollutant levels are optimized in a laminar Bunsen burner computed with complex chemistry using a recursive semi-deterministic global optimization algorithm. In order to keep the computational time low, the optimization procedure is coupled with mesh adaptation and incomplete gradient techniques.

Mots clés: mesh adaptation; combustion; bunsen flame; pollution; optimization; incomplete sensitivities

Domaines: Optimisation et contrôle [math.OC]; Milieux fluides et réactifs

L. Debiane, Benjamin Ivorra, Bijan Mohammadi, Franck Nicoud, Thierry Poinsot, et al.. A low-complexity global optimization algorithm for temperature and pollution control in flames with complex chemistry. International Journal of Computational Fluid Dynamics, 2006, 20 (2), pp.93-98. ⟨10.1080/10618560600771758⟩. ⟨hal-00908273⟩