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Prediction and control of combustion instabilities for industrial gas turbines (PRECCINSTA)

Objective

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.

Fields of science

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.

Programme(s)

Topic(s)

Call for proposal

Data not available

Funding Scheme

CSC - Cost-sharing contracts

Coordinator

SIEMENS INDUSTRIAL TURBOMACHINERY AB
EU contribution
No data
Address

61283 FINSPONG
Sweden

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Total cost
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Participants (19)

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Last update: 28 July 2005

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Permalink: https://cordis.europa.eu/project/id/ENK5-CT-2000-00060

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