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Título:
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A low-complexity global optimization algorithm for temperature and pollution control in flames with complex chemistry
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Autores:
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Debiane, L. ;
Ivorra, Benjamin ;
Mohammadi, Bijan ;
Nicoud, F. ;
Poinsot, Th. ;
Ern, A. ;
Pitsch, H.
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Tipo de documento:
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texto impreso
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Editorial:
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Taylor & Francis, 2006
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Física: Termodinámica
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Materia = Ciencias: Matemáticas: Investigación operativa
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Tipo = Artículo
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Resumen:
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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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En línea:
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https://eprints.ucm.es/id/eprint/29482/1/Ivorra32.pdf
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