RT Journal Article
T1 A low-complexity global optimization algorithm for temperature and pollution control in flames with complex chemistry
A1 Debiane, L.
A1 Ivorra, Benjamín Pierre Paul
A1 Mohammadi, Bijan
A1 Nicoud, F.
A1 Poinsot, Th.
A1 Ern, A.
A1 Pitsch, H.
AB 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.
PB Taylor & Francis
SN 1061-8562
YR 2006
FD 2006
LK https://hdl.handle.net/20.500.14352/51337
UL https://hdl.handle.net/20.500.14352/51337
LA eng
DS Docta Complutense
RD 20 abr 2025