The optimisation of engine performance by predictive means can help save cost and reduce environmental pollution. This can be achieved by developing a performance model which depicts the operating conditions of a given engine. Such models can also be used for diagnostic and prognostic purposes. Creating such models requires a method that can cope with the lack of component parameters and some important measurement data. This kind of method is said to be adaptive since it predicts unknown component parameters that match available target measurement data. In this paper an industrial aeroderivative gas turbine has been modelled at design and off-design points using an adaptation approach. At design point, a sensitivity analysis has been used to evaluate the relationships between the available target performance parameters and the unknown component parameters. This ensured the proper selection of parameters for the adaptation process which led to a minimisation of the adaptation error and a comprehensive prediction of the unknown component and available target parameters. At off-design point, the adaptation process predicted component map scaling factors necessary to match available off-design point performance data.
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ASME 2007 Power Conference
July 17–19, 2007
San Antonio, Texas, USA
Conference Sponsors:
- Power Division
ISBN:
0-7918-4273-8
PROCEEDINGS PAPER
Adaptation Application to Engine Modelling
Jude Iyinbor
Jude Iyinbor
Cranfield University, Cranfield, Bedfordshire, UK; Royal Institute of Technology, Sweden
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Jude Iyinbor
Cranfield University, Cranfield, Bedfordshire, UK; Royal Institute of Technology, Sweden
Paper No:
POWER2007-22139, pp. 39-48; 10 pages
Published Online:
April 21, 2009
Citation
Iyinbor, J. "Adaptation Application to Engine Modelling." Proceedings of the ASME 2007 Power Conference. ASME 2007 Power Conference. San Antonio, Texas, USA. July 17–19, 2007. pp. 39-48. ASME. https://doi.org/10.1115/POWER2007-22139
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