Objective
The aim of the project is to achieve the first industrial realisation of a new solution for high temperature cogeneration by implementing a partial oxidation gas turbine scheme, called here Oxipar turbine in the cogeneration scheme.
The partial oxidation gas turbine is to be installed parallel with an adapted 'base' gas turbine. This innovative alternative can be used to upgrade the efficiency of an existing natural gas fired boiler, or of an existing gas turbine based cogen installation.
The aim is to improve the fuel efficiency through the addition of the Oxipar cycle power output to the base gas turbine power, and calibrating the cogeneration system to the base steam load of the industrial site.
In this new high temperature cogeneration scheme the electrical efficiency is increased from 18.4% (conventional gas turbine + post combustion) to 20.7% for the same 80% global thermal efficiency.
1.Innovative technology
The innovative plant comprises three main elements :
- The base gas turbine, ranked to 6 MW, provides electrical output, hot exhaust oxidizing gases to the burner of the boiler and about 1 kg/s of compressed air bleed to the Oxipar gas turbine.
- The Oxipar gas turbine, ranked to 1 MW, is fed with compressed air from the base gas turbine, steam from the boiler and natural gas.
It exhausts a combustible gas into a power turbine driving an electrical generator and then into the burner of the boiler. The fired medium temperature boiler, that uses the hot exhaust gases from both gas turbines in a specially designed burner. 2. Context :
High temperature (HT) cogeneration (where heat has to be delivered at HT, say above 600°C) is a field where according to a recent study financed by the CEE there is need for new technologies.
3. Economic aspects :
Expected costs per KW installed are around 20% lower compared to conventional equipment (GT + post combustion). 4. Monitoring will be under control of a computer aided data validation.
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.
- natural scienceschemical scienceselectrochemistryelectrolysis
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpower engineeringelectric power generationcombined heat and power
- engineering and technologyenvironmental engineeringenergy and fuelsfossil energynatural gas
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Topic(s)
Call for proposal
Data not availableFunding Scheme
DEM - Demonstration contractsCoordinator
4480 Engis
Belgium