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LOW-ORDER MODELING OF IGNITION IN ANNULAR COMBUSTORS

Accepted version
Peer-reviewed

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Conference Object

Change log

Authors

Mesquita, Leo 
Ciardiello, Roberto 
Mastorakos, Epaminondas  ORCID logo  https://orcid.org/0000-0001-8245-5188

Abstract

The SPINTHIR model, which is a Lagrangian stochastic low-order model for ignition validated and applied to several premixed and non-premixed cases, is modified in this paper to improve the numerical prediction of the flame light-round process in premixed annular combustors. This work proposes to take into account Flame Generated Turbulent Intensity (FGTI) and to impose the tubulent flame speed to the flame particles using expressions from the literature to address the current limitations in SPINTHIR. For this, using RANS CFD results as an input, the model was applied to simulate the ignition transient in a premixed, swirled bluff body stabilized annular combustor to characterize the light-round time, both in stable conditions and close to the stability limits. Several cases were analyzed, where flame speed and fuel are varied and light-round times are compared to experimental results. The proposed modifications increased the precision of the light-round time predictions, suggesting that FGTI may be an essential phenomenon to be modeled. The SPINTHIR model coupled with the Bray turbulent flame speed expression resulted in an average error of 15%, a maximum error of 26% and minimum error of 1% for the explored range of parameters. This is an attractive feature considering the low computational cost of these simulations, which take on average 75\simin per simulation in a single core of a local workstation.

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Journal Title

Proceedings of the ETMM13

Conference Name

13th International ERCOFTAC symposium on engineering, turbulence, modelling and measurements

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Rights

All rights reserved
Sponsorship
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (765998)
European Commission Horizon 2020 (H2020) Industrial Leadership (IL) (785349)
RC has been supported by funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie Grant Agreement No. 765998, project ANNULIGHT. LCCM has been supported by funding from the Clean Sky 2 Joint Undertaking (JU) under project PROTEUS, Grant Agreement No 785349. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the Clean Sky 2 JU members other than the Union.