Objectif
Objectives and Problems to be Solved:
The objectives of this project are to understand, predict and control the causes for combustion instabilities in lean premixed combustion, featured in modern, high efficiency industrial gas turbines with low emission levels. This includes the development of databases, validated numerical predictive tools and design rules to avoid such instabilities. The results will enable manufacturers to design new combustion chambers for gas turbines with improved reliability, improved efficiency, the ability to burn a wider range of fuels and reduced pollutant emission in comparison to today's engines. The end users will be able to monitor and operate their plants in a cost optimal way without sacrificing safety. Description of Work: In order to achieve the objectives, research and development is carried out comprising activities in the following areas:
· basic instability mechanisms of lean premixed gas flames on a laboratory scale· interaction of aerodynamics, combustion and acoustic pressure waves leading to instability on tubular and annular rig scale combustion chambers· active and passive damping of combustion instabilities on tubular and annular rig scale combustion chambers· transition of methods and tools from rig scale combustion chambers to real engines with tubular/annular combustion chambers Expected results and Exploitation Plans: Major results are expected in the following areas:· Theory about the root causes of the onset of instability· Databases for stability limits of premixed lean gas flames· Analytical predictive tools for design· Knowledge about transferability of rig data into engine design· Design criteria for combustor dimensioning for high reliability The implementation of results in the development processes within the manufacturing companies will increase the reliability, efficiency and low emission performance of European industrial gas turbines and improve the competitive position for the manufacturers and their end users, e.g. the power generating industry. This could lead to a significant increase in market share for the manufacturers and end users and subsequent economic growth for the EC companies directly involved and the many component and service suppliers, which support these businesses.
Champ scientifique
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN.
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN.
Appel à propositions
Data not availableRégime de financement
CSC - Cost-sharing contractsCoordinateur
61283 FINSPONG
Suède
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Participants (19)
70023 GIOIA DEL COLLE
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16152 GENOVA
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83624 OTTERFING
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31057 TOULOUSE
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45071 ORLEANS
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MK43 0AL Cranfield - Bedfordshire
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NG11 0EE NOTTINGHAM
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78401 CHATOU
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56122 PISA
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51147 KOELN
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6812 AR ARNHEM
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FIRENZE
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E1 4NS LONDON
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CV7 9JR COVENTRY
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MUENCHEN
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LN5 7FD LINCOLN
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64511 BORDES
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SY23 3BZ ABERYSTWYTH
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CB2 1PZ Cambridge
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