Objective
The aim of the project is to demonstrate the following :
- Demonstrate an energy efficient, low emission operation of an innovative gas turbine design with high availability within an IGCC process.
-Implementation of advanced process control techniques to improve the dynamic behavior of the IGCC plant. The problem will be addressed with a process simulator.
-Implementation of optimisation techniques to increase the efficiency and availability and to monitor emissions in the plant.
The project is to design, develop and demonstrate a state-of-the-art advanced performance gas turbine power plant operating in IGCC mode. The following describes the innovative parts of the project.
Gas Turbine & Combustor : The GT13E2 gas turbine will be used as the basis of the IGCC GT unit. The GT13E2 has been developed with an advanced fully annular combustor and currently operates with ABB's low NOx EV combustor systems. For the combustion processes involved in the IGCC project, Medium Btu (MBtu) gas will be the source of fuel. The EV burner has already been modified and tested in the research phase of this project to safely and efficiently combust MBtu gas. The combustion is governed by the lean-premixed mode which inherently leads to superior emissions and reliability.
The Distributed Control System will be based on ABB's ADVANT digital control system and will also make use of the SIMCON software system to build a full dynamic model of the IGCC plant. The gasifier, air separation unit, acid gas cleanup and combined cycle plant will be fully modeled in this work. All mathematical models for each major component will be derived and tested within the IGCC "Simulator". This is especially important for the operation in integrated mode where all major functional units are closely coupled to give good dynamic operation of the IGCC power plant.
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 technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencescomputer and information sciencessoftwaresoftware applicationssystem software
- engineering and technologyenvironmental engineeringenergy and fuels
- natural sciencesmathematicsapplied mathematicsmathematical model
You need to log in or register to use this function
Topic(s)
Call for proposal
Data not availableFunding Scheme
DEM - Demonstration contractsCoordinator
20137 Milano
Italy