Objective
The aim of the TIMECOP-AE project is to provide the necessary combustion prediction methods that enable the development of practical advanced combustion systems for future engines that will reduce emission levels and fuel consumption. Predictive tools are required to be able to reduce NOx emissions, to decrease the development time and costs of new combustion systems and to improve the operability of lean-burn combustion systems.
All promising approaches to satisfy future emission levels regulations are based on lean combustion technology. However, lean combustion compromises combustor operability, including ignition, altitude re-light, pull-away, weak extinction performance and thermo-acoustic instability behaviour. It is of prime importance to evaluate this transient behaviour in the design stage to ensure good operability. Without these tools the development of these advanced combustion systems will depend on many rig tests.
These are costly and time consuming and will reduce our competitiveness. During the last five years big advances have been made in the field of reactive Large Eddy Simulation (LES) with gaseous fuels. This approach gives promising results with respect to turbulence modelling and can be used to model unsteady processes. Within this proposal the LES tools will gain the capability for modelling the combustion process within conventional and Low Emission combustors over a wide range of operating conditions on liquid fuels.
The operating conditions include mentioned transient phenomena. To be able to model these phenomena improvements are required in the models of turbulence, chemistry, turbulence-chemistry interactions, and liquid spray models. The methods and models will be evaluated against high quality validation data, which will be obtained by several validation experiments. Some are designed to validate specific models, and one is a generic combustor, representative of an aero-engine combustor, and permits to assess the full range of models.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyenvironmental engineeringenergy and fuelsliquid fuels
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamics
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Call for proposal
FP6-2005-AERO-1
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Funding Scheme
STREP - Specific Targeted Research ProjectCoordinator
BORDES
France
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Participants (22)
1536 BLANKENFELDE-MAHLOW
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LONDON
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MUENCHEN
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PARIS
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TORINO
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BP72 CHÂTILLON
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KÖLN
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BP34038 TOULOUSE
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CAEN
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CHATENAY-MALABRY
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1527 HERAKLION
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RUEIL- MALMAISON
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CAMBRIDGE
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DARMSTADT
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6980 KARLSRUHE
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513 EINDHOVEN
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LONDON
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LOUGHBOROUGH
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CZESTOCHOWA
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ROMA
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TOULOUSE
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MADRID
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