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Thermo-economic optimisation of whole gas turbine plant

Objective

Objectives and problems to be solved:
The aim is to develop a computational tool which enables full Thermo-Economic Power Plant development by integrating and optimising System Performance with Life Cycle Costs and Environmental Impact. This will provide improved economic competitiveness for the EU industry and also minimise harmful pollution on a global scale by identifying power generation system concepts that offer the biggest possible reductions in Life Cycle Costs, resource consumption and environmental impact. The project will enhance EU manufacturers potential to provide the most affordable, environmentally efficient energy systems using hydrocarbons, waste or bio-derived fuel reserves more efficiently with reduced or zero emissions characteristics. This will help systematically identification and exploitation of new products in changing markets. The tool will also be capable of improving the performance of existing systems if retrospectively applied during the re-powering of operational plant. Description of work: The work will be focused on developing a flexible software tool that can perform complete techno-economic optimisation of many advanced gas turbine cycle concepts of recognised or perceived potential. An open/flexible architecture will be developed which is capable of supporting/integrating the normally distinct activities of system performance, component design, initial cost and environmental impact analysis. The architecture will be designed to enable rapid development of power plant. A library of sub-system models for some advanced cycles will be developed. These will collectively provide a capability to model Advanced CHP cycles, Advanced recuperated gas turbine cycles, CO2 removal/sequestration cycles and Biomass/waste-to-energy cycles. The tool will include a full economic and optimisation capability, which will be applied, in a series of case studies, to minimise the Life Cycle Costs of four plant types (listed above). This should confirm the benefits of the tool. Expected Results and Exploitation Plans: This project will deliver a software tool for modelling whole cycle concepts, which can be used to identify more environmentally friendly systems with an improved overall balance of Life Cycle Costs. The optimisation of the four types of cycle (above) will be produced with the description of the models, the procedures followed and the analysis of the results. In the longer term, exploitation will be ensured through down-stream use of this tool within the partners and its distribution to other industrial players (by the software vendor involved here). The benefits/deliverables will include improved products with best available life cycle costs (minimised resource consumption, etc), more rapid identification/selection of cost competitive power system designs (therefore bring them to market sooner).
Characterisation of several apple cultivars carrying broad-spectrum resistance towards numerous strains/inocula of both fungi Report on unspecificity of ontogenic resistance. European map for known deployment of V. inaequalis virulences Core collection of 319 V. inaequalis strains from Europe, and pathogenicity variability of 39 strains Characterisation of 6 P. leucotricha strains carrying specific virulences Genetic diversity of 31 European P. leucotricha strains European reference genetic map for Prima x Fiesta cross. Strong effect QTLs for scab resistance in several apple progenies (both broad-spectrum and race/strain-specific QTLs) Mapping of 40 apple RGAsGenetic markers for Pl1, Plw and PldQTLs for mildew resistance Identification of numerous trees pyramiding 2 major R-genes by MAS61 new crosses between cultivars carrying broad-spectrum resistance (about 28.000 seeds) Evaluation of consumer's preference as regards new resistant apple varieties

Funding Scheme

CSC - Cost-sharing contracts

Coordinator

ROLLS-ROYCE POWER ENGINEERING PLC
Address
Ansty
CV7 9JR Coventry
United Kingdom

Participants (6)

ALSTOM POWER SWEDEN AB
Sweden
Address

612 82 Finspaang
ALSTOM POWER UK LTD.
United Kingdom
Address
Lindum House, 11 Sewell Road
Lincoln
LUND UNIVERSITY
Sweden
Address
Ole Roemers Vaeg 1
221 00 Lund
SIMTECH SIMULATION TECHNOLOGY
Austria
Address
120,Riesstrasse 120
8010 Graz
UNIVERSITY OF GENOVA
Italy
Address
Via Montallegro 1
16145 Genova
UNIVERSITY OF NEWCASTLE UPON TYNE
United Kingdom
Address
Armstrong Building, University Of Newcastle
NE1 7RU Newcastle Upon Tyne