Assessment of a Cost-Effective Multi-Fidelity Conjugate Heat Transfer Approach for Metal Temperature Prediction of DLN Gas Turbine Combustor Liners

Gianmarco Lemmi, Stefano Gori, Giovanni Riccio and Antonio Andreini ()
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Gianmarco Lemmi: Department of Industrial Engineering, University of Florence, Via S. Marta, 3, 50139 Florence, Italy
Stefano Gori: Baker Hughes, Via F. Matteucci, 2, 50127 Florence, Italy
Giovanni Riccio: Baker Hughes, Via F. Matteucci, 2, 50127 Florence, Italy
Antonio Andreini: Department of Industrial Engineering, University of Florence, Via S. Marta, 3, 50139 Florence, Italy

Energies, 2025, vol. 18, issue 18, 1-25

Abstract: Over the last decades, Computational Fluid Dynamics (CFD) has become a fundamental tool for the design of gas turbine combustors, partly making up for the costs and duration issues related to the experimental tests involving high-pressure reactive processes. Nevertheless, high-fidelity simulations of reactive flows remain computationally expensive, particularly for conjugate heat transfer (CHT) analyses aimed at predicting liner metal temperatures and characterising wall heat losses. This work investigates the robustness of a cost-effective numerical setup for CHT simulations, focusing on the prediction of cold-side thermal loads in industrial combustor liners under realistic operating conditions. The proposed approach is tested using both Reynolds-Averaged Navier–Stokes (RANS) and unsteady Stress-Blended Eddy Simulation (SBES) turbulence models for the combustor flame tube, coupled via a time desynchronisation strategy with transient heat conduction in the solid domain. Cold-side heat transfer is modelled using a 1D correlation-based tool, runtime coupled with the CHT simulation to account for cooling-induced thermal loads without explicitly resolving complex cooling passages. The methodology is applied to a single periodic sector of the NovaLT TM 16 annular combustor, developed by Baker Hughes and operating under high-pressure conditions with natural gas. Validation against experimental data demonstrates the methodology’s ability to predict liner metal temperatures accurately, account for modifications in cooling geometries, and support design-phase evaluations efficiently. Overall, the proposed approach offers a robust trade-off between computational cost and predictive accuracy, making it suitable for practical engineering applications.

Keywords: CHT; RANS; SBES; loosely coupled; industrial lean-premixed burner; gas turbine (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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