Objective
The overall objective of this project is to provide and demonstrate technical solutions which will allow the use of state-of-the-art highly efficient, reliable gas turbines in the next generation of IGCC plants, suitable for combusting undiluted hydrogen-rich syngas derived from a pre-combustion CO2 capture process, with high fuel flexibility. The recognised challenge is to operate a stable and controllable gas turbine on hydrogen-rich syngas with emissions and process parameters similar to current state-of-the-art natural gas turbine engines. This objective will have severe implications on the combustion technology, hot gas path materials, the aerodynamic performance of turbomachinery components, and the system as a whole. The project will address these issues in Subprojects: SP1: Combustion; SP2: Materials; SP3: Turbomachinery and SP4: System analysis. In addition, the project will also look into gas turbine fuel flexibility, which will be demonstrated in order to allow the burning of back-up fuels, such as natural gas, without adversely affecting the reliability and availability. This is an important operational requirement to ensure optimum use of the gas turbine. The H2-IGCC project – coordinated by the European Turbine Network - gathers the whole value chain of gas turbine power plant technology, including Original Equipment Manufacturers, GT users/operators and research institutes with diverse key expertise needed to fulfil the objectives. Successful dissemination and implementation of the results will open up the market for IGCC with Carbon Capture and Storage (CCS), as it will improve the commercial competitiveness of IGCC technology. In particular, the integrated approach used in the project will enhance confidence and significantly reduce deployment times for the new technologies and concepts developed in this project. The vision is that this will allow for the deployment of high efficiency gas turbines in competitive IGCC plants with CCS technology by 2020.
Fields of science
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.
Keywords
Call for proposal
FP7-ENERGY-2008-TREN-1
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Funding Scheme
CP - Collaborative project (generic)Coordinator
1060 Bruxelles / Brussel
Belgium
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Participants (24)
5232 Villigen Psi
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51147 Koln
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16152 Genova
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6041 Gosselies
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5612 AE Eindhoven
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75008 Paris
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52428 Julich
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20134 Milano
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00154 Roma
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BN1 9RH Brighton
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80333 Munchen
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1630 Linkebeek
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CF24 0DE Cardiff
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2111 SZADA
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52062 Aachen
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MK43 0AL Cranfield - Bedfordshire
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00198 Roma
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S10 2TN Sheffield
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4021 Stavanger
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UTRECHT
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16126 Genova
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B37 7YE Birmingham
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H91 Galway
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EC1V 0HB London
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