TY - JOUR
T1 - Direct numerical simulation of flame-wall interaction at gas turbine relevant conditions
AU - Niemietz, Kai
AU - Berger, Lukas
AU - Huth, Michael
AU - Attili, Antonio
AU - Pitsch, Heinz
N1 - Funding Information:
Generous support of the Deutsche Forschungsgemeinschaft (DFG) under grant number PI 368/25-1 and the Research Association for Combustion Engines (FVV) under grant number 6013970 is gratefully acknowledged. The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. ( www.gauss-centre.eu ) for funding this project by providing computing time on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre ( www.lrz.de ).
Publisher Copyright:
© 2022 Elsevier Inc. All rights reserved.
PY - 2022/10/21
Y1 - 2022/10/21
N2 - A direct numerical simulation (DNS) with finite rate chemistry was performed to evaluate the main influences on carbon monoxide (CO) emissions in gas turbine combustion. A lean methane/air mixture is burned in fully turbulent jet flames in a domain enclosed by isothermal walls. The formation of CO is found to be affected by the mean strain rate of the turbulent flow, the flame-wall interaction (FWI), and the interactions of the flame with the recirculation zones of the flow. The CO production and consumption in the turbulent flame differ strongly from the reaction rates in a freely propagating flame. In the upstream part of the domain, the mean strain rate of the turbulent flow mainly affects the CO formation, while wall heat loss influences the CO oxidation process towards the end of the domain, where the strain rate decreases. In an optimal estimator analysis, the relevant parameters that dominate the formation and consumption of CO are identified as the local CO mass fraction , the wall heat loss, described by the enthalpy defect , and the mass fraction of the OH radical . The heat loss is particularly influential close to the wall while the effects far from the wall are negligible. Using the local CO mass fraction as parameter describes the late-stage oxidation of CO well in the entire domain. In particular, should not be neglected at the wall. is well suited to describe the processes involved in CO oxidation, as it both parameterizes the turbulent strain and is the main reaction partner for CO oxidation. The combination of and was able to improve the domain-averaged irreducible error by almost half compared to only a progress variable. Adding to the parameter set further reduced the error to 25% of the original error.
AB - A direct numerical simulation (DNS) with finite rate chemistry was performed to evaluate the main influences on carbon monoxide (CO) emissions in gas turbine combustion. A lean methane/air mixture is burned in fully turbulent jet flames in a domain enclosed by isothermal walls. The formation of CO is found to be affected by the mean strain rate of the turbulent flow, the flame-wall interaction (FWI), and the interactions of the flame with the recirculation zones of the flow. The CO production and consumption in the turbulent flame differ strongly from the reaction rates in a freely propagating flame. In the upstream part of the domain, the mean strain rate of the turbulent flow mainly affects the CO formation, while wall heat loss influences the CO oxidation process towards the end of the domain, where the strain rate decreases. In an optimal estimator analysis, the relevant parameters that dominate the formation and consumption of CO are identified as the local CO mass fraction , the wall heat loss, described by the enthalpy defect , and the mass fraction of the OH radical . The heat loss is particularly influential close to the wall while the effects far from the wall are negligible. Using the local CO mass fraction as parameter describes the late-stage oxidation of CO well in the entire domain. In particular, should not be neglected at the wall. is well suited to describe the processes involved in CO oxidation, as it both parameterizes the turbulent strain and is the main reaction partner for CO oxidation. The combination of and was able to improve the domain-averaged irreducible error by almost half compared to only a progress variable. Adding to the parameter set further reduced the error to 25% of the original error.
U2 - 10.1016/j.proci.2022.09.022
DO - 10.1016/j.proci.2022.09.022
M3 - Article
SN - 1540-7489
JO - Proceedings of the Combustion Institute
JF - Proceedings of the Combustion Institute
ER -