%0 Journal Article
%A Debiane, L.
%A Ivorra, Benjamín Pierre Paul
%A Mohammadi, Bijan
%A Nicoud, F.
%A Poinsot, Th.
%A Ern, A.
%A Pitsch, H.
%T A low-complexity global optimization algorithm for temperature and pollution control in flames with complex chemistry
%D 2006
%@ 1061-8562
%U https://hdl.handle.net/20.500.14352/51337
%X Controlling flame shapes and emissions is a major objective for all combustion engineers. Considering the complexity of reacting flows, new 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 computational time low, the optimization procedure is coupled with mesh adaptation and incomplete gradient techniques.
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