Advanced gas turbine cycle performance modelling using response surface methods

Simple item page
dc.contributor.authorSeetharama-Yadiyal, V.
dc.contributor.authorBrighenti, Giovanni D.
dc.contributor.authorPavlos, Zachos
dc.date.accessioned2018-12-12T09:14:33Z
dc.date.available2018-12-12T09:14:33Z
dc.date.issued2018-10-26
dc.description.abstractSurrogate models are widely used for dataset correlation. A popular application very frequently shown in public literature is in the field of engineering design where a large number of design parameters is correlated with performance indices of a complex system based on existing numerical or experimental information. Such an approach allows the identification of the key design parameters and their impact on the system’s performance. The generated surrogate model can become part of wider computational platforms and enable optimisation of the complex system without the need to run expensive simulations. In this paper a number of design point simulations for a combined gas-steam cycle are used to generate a response surface. The generated response surface correlates a range of cycle’s key design parameters with its thermal efficiency while it also enables identification of the optimum overall pressure ratio and the high pressure level of the raised steam across a range of recuperator effectiveness, pinch temperature difference across the heat recovery steam generator and the pressure at the condenser. The accuracy of a range of surrogate models to capture the design space is evaluated using root mean square statistical metrics.en_UK
dc.identifier.citationV. Seetharama-Yadiyal, G.D. Brighenti and P.K. Zachos. Advanced gas turbine cycle performance modelling using response surface methods. The Aeronautical Journal, Volume 122, Issue 1258, pp. 1871-1883en_UK
dc.identifier.issn0001-9240
dc.identifier.urihttps://doi.org/10.1017/aer.2018.119
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13719
dc.language.isoenen_UK
dc.publisherCambridge University Pressen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectSurrogate modellingen_UK
dc.subjectresponse surfaceen_UK
dc.subjectcombined cycle gas turbinesen_UK
dc.titleAdvanced gas turbine cycle performance modelling using response surface methodsen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Advanced_gas_turbine_cycle_performance_modelling-2018.pdf
Size:
1.05 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)