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  Preventing a global transition to thermoacoustic instability by targeting local dynamics

George, N. B., Raghunathan, M., Unni, V. R., Sujith, R. I., Kurths, J., Surovyatkina, E. (2022): Preventing a global transition to thermoacoustic instability by targeting local dynamics. - Scientific Reports, 12, 9305.
https://doi.org/10.1038/s41598-022-12951-6

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 Creators:
George, Nitin Babu1, Author              
Raghunathan, Manikandan2, Author
Unni, Vishnu R2, Author
Sujith, R. I.2, Author
Kurths, Jürgen1, Author              
Surovyatkina, Elena1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: The burning of fossil fuels to generate power produces harmful emissions. Lowering such emissions in gas turbine engines is possible by operating them at fuel-lean conditions. However, such strategies often fail because, under fuel-lean conditions, the combustors are prone to catastrophic high-amplitude oscillations known as thermoacoustic instability. We reveal that, as an operating parameter is varied in time, the transition to thermoacoustic instability is initiated at specific spatial regions before it is observed in larger regions of the combustor. We use two indicators to discover such inceptive regions: the growth of variance of fluctuations in spatially resolved heat release rate and its spatiotemporal evolution. In this study, we report experimental evidence of suppression of the global transition to thermoacoustic instability through targeted modification of local dynamics at the inceptive regions. We strategically arrange slots on the flame anchor, which, in turn, reduce the local heat release rate fluctuations at the inceptive regions and thus suppress the global transition to thermoacoustic instability. Our results open new perspectives for combustors that are more environmental-friendly.

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Language(s): eng - English
 Dates: 2022-06-032022-06-03
 Publication Status: Finally published
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41598-022-12951-6
MDB-ID: pending
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Monsoon
Research topic keyword: Tipping Elements
Model / method: Nonlinear Data Analysis
Model / method: Qualitative Methods
OATYPE: Gold - DEAL Springer Nature
 Degree: -

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Title: Scientific Reports
Source Genre: Journal, SCI, Scopus, p3, OA
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Pages: - Volume / Issue: 12 Sequence Number: 9305 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals2_395
Publisher: Springer Nature