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The potential of a multi-fidelity approach to gas turbine combustor design optimization

The potential of a multi-fidelity approach to gas turbine combustor design optimization
The potential of a multi-fidelity approach to gas turbine combustor design optimization
The desire to reduce gas turbine emissions drives the use of design optimization approaches within the combustor design process. However, the relative cost of combustion simulations can prohibit such optimizations from being carried out within an industrial setting. Strategies which can significantly reduce the cost of such studies can enable designers to further improve emissions performance. The following paper investigates the application of a multi-fidelity surrogate modelling approach to the design optimization of a typical gas turbine combustor from a civil airliner engine. Results over three different case studies of varying problem dimensionality indicate that a multi-fidelity surrogate modelling based design optimization, whereby the simulation fidelity is varied by adjusting the coarseness of the mesh, can indeed improve optimization performance. These results indicate that such an approach has the potential to significantly reduce design optimization cost whilst achieving similar, or in some cases superior, design performance.
gas turbine engines, design and optimisation, combustion chambers
0742-4795
Toal, David
dc67543d-69d2-4f27-a469-42195fa31a68
Zhang, Xu
21e210aa-51db-40af-a91b-f64bf44ed143
Keane, Andy
26d7fa33-5415-4910-89d8-fb3620413def
Lee, Chin Yik
dbeb7d04-cb02-4bfd-bf54-a3e9cc432ebf
Zedda, Marco
f2de059a-e577-4b2b-bbdf-d2cd07a0045d
Toal, David
dc67543d-69d2-4f27-a469-42195fa31a68
Zhang, Xu
21e210aa-51db-40af-a91b-f64bf44ed143
Keane, Andy
26d7fa33-5415-4910-89d8-fb3620413def
Lee, Chin Yik
dbeb7d04-cb02-4bfd-bf54-a3e9cc432ebf
Zedda, Marco
f2de059a-e577-4b2b-bbdf-d2cd07a0045d

Toal, David, Zhang, Xu, Keane, Andy, Lee, Chin Yik and Zedda, Marco (2020) The potential of a multi-fidelity approach to gas turbine combustor design optimization. Journal of Engineering for Gas Turbines and Power, [GTP-20-1052]. (doi:10.1115/1.4048654).

Record type: Article

Abstract

The desire to reduce gas turbine emissions drives the use of design optimization approaches within the combustor design process. However, the relative cost of combustion simulations can prohibit such optimizations from being carried out within an industrial setting. Strategies which can significantly reduce the cost of such studies can enable designers to further improve emissions performance. The following paper investigates the application of a multi-fidelity surrogate modelling approach to the design optimization of a typical gas turbine combustor from a civil airliner engine. Results over three different case studies of varying problem dimensionality indicate that a multi-fidelity surrogate modelling based design optimization, whereby the simulation fidelity is varied by adjusting the coarseness of the mesh, can indeed improve optimization performance. These results indicate that such an approach has the potential to significantly reduce design optimization cost whilst achieving similar, or in some cases superior, design performance.

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gtp-20-1052 - Accepted Manuscript
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More information

Accepted/In Press date: 20 September 2020
e-pub ahead of print date: 2 October 2020
Keywords: gas turbine engines, design and optimisation, combustion chambers

Identifiers

Local EPrints ID: 444749
URI: http://eprints.soton.ac.uk/id/eprint/444749
ISSN: 0742-4795
PURE UUID: e2c53112-f6df-48f4-b7c4-d7c6bded583c
ORCID for David Toal: ORCID iD orcid.org/0000-0002-2203-0302

Catalogue record

Date deposited: 03 Nov 2020 17:31
Last modified: 26 Nov 2021 02:52

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Contributors

Author: David Toal ORCID iD
Author: Xu Zhang
Author: Andy Keane
Author: Chin Yik Lee
Author: Marco Zedda

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