Projects: Custom Search |
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Reference Number | DTI/CC/327 | |
Title | On-line Fuel Tracking by Advanced Flame Monitoring | |
Status | Completed | |
Energy Categories | Other Power and Storage Technologies (Electric power conversion) 20%; Fossil Fuels: Oil Gas and Coal (Coal, Coal combustion) 80%; |
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Research Types | Applied Research and Development 100% | |
Science and Technology Fields | ENGINEERING AND TECHNOLOGY 100% | |
UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
Principal Investigator |
Dr G Riley No email address given RWE npower plc |
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Award Type | 3 | |
Funding Source | DTI | |
Start Date | 01 January 2002 | |
End Date | 01 July 2005 | |
Duration | 42 months | |
Total Grant Value | £110,000 | |
Industrial Sectors | ||
Region | South West | |
Programme | ||
Investigators | Principal Investigator | Dr G Riley , RWE npower plc (99.999%) |
Other Investigator | Project Contact , University of Greenwich (0.001%) |
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Web Site | ||
Objectives | Increasingly, power plants are burning a diverse range of coals (indigenous and imported) under tighter economic and environmental constraints. On-line coal analysers have been investigated in the past, but these are expensive and do not provide a practical solution to the problem. To improve the efficiency of the process, utilities are turning to optimisation packages to assist operation staff. Experience has shown that these optimisation packages can help to optimise the process, but arelimited by the wide variation imposed on the system by the constantly changing coal diet. It is therefore desirable to identify the coal being burnt on an on-line, continuous basis to improve the performance of the optimisation packages. Specific objectives are:
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Abstract | This project aims to develop a low-cost, fuel tracking system for the identification of coals being burnt at any one time. The approach is to extract the dynamic finger prints of the flame and hence the fuel type by processing the output signal of an improved flame-eye using digital signal processing and softcomputing techniques. A prototype will be design, implemented and evaluated first on a combustion test rig under a laboratory environment and then on a 500kW coalfired com bustion test facility at Innogy. Quantitative relationships between the dynamic characteristics of flames and their corresponding fuel types will be identified such that the on-line fuel-tracking system could be integrated into a power station control system. Full scale demonstration trials will be conducted on a coal fired power station. As the system aims to utilise existing flame monitoring locations, if successful, this approach would provide a cost-effective solution tothis diffic ult problem. It is envisaged that a successful application of the new system would allow optimisation packages to reduce carbon-in-ash by about 3-5 , or NOx by 50mg/NM3 etc. This would lower CO2 emissions or greenhouse gas emissions significantly, and help to keep the position of coal competitive with gas. Additionally, the system will also provide a continuous, quantitative indication of flame stability, which would enable the safe combustion of a wider range of coals in cluding low-quality coals and blends of coals. Other benefits include establishment of advanced low-cost flame stability monitoring techniques, in-depth understanding of combustion and pollutant formation processes, and provision of ample experimental data for the validation of mathematical/ CFD models concerning fuel types, flames and furnaces. | |
Data | No related datasets |
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Projects | No related projects |
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Publications | On-Line Fuel Tracking By Advanced Flame Monitoring : Project Profile |
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Added to Database | 01/01/07 |