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In the application of the combustion models based on low-dimensionalmanifolds (for instance flamelet models) to large-eddy simulation (LES) ofreactive turbulent flows, the modeling simplifications of the combustionprocess is a critical source of uncertainty in addition to those due to theturbulent closure model and numerical discretization. The ability toquantitatively assess this uncertainty in absence of the reference result isvital to the reliable and predictive simulations of practical combustiondevices.In the present study, the Pareto-efficient combustion (PEC) frameworkis extended to adaptive LES combustion simulations of turbulent flames. The keycomponent of the PEC framework is the so-called manifold drift term. Itsextension LES is proposed to make such assessment by examining the complianceof a particular combustion model in describing a quantity of interest withrespect to the underlying flow field representation. With the focus onimproving predictions of CO emissions of flamelet-based combustion models, thiswork employs PEC to augment the flamelet/progress variable (FPV) model throughlocal sub-model assignment of the finite-rate chemistry (FRC) model. To thisend, a series of LES-PEC calculations are performed on a pilotedpartially-premixed dimethyl ether flame (DME-D), using a combination of FPV andFRC models. The drift term is utilized in the PEC framework to the estimate themodel related error for quantities of interest. The PEC approach isdemonstrated to be capable of significantly improving the prediction of COemissions compared with the monolithic FPV simulation. The improved accuracy isachieved by enriching the FPV model with FRC in regions where the lower-ordermodel is determined insufficient through the evaluation of drift terms.

Application of Pareto-efficient combustion modeling framework to large eddy simulations of turbulent reacting flows