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

Abstract : 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.
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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, Taylor & Francis, 2006, 20 (2), pp.93-98. ⟨10.1080/10618560600771758⟩. ⟨hal-00908273⟩

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