  Transported probability density function (PDF) methods are widely used to
model turbulent flames characterized by strong turbulence-chemistry
interactions. Numerical methods directly resolving the PDF are commonly used,
such as the Lagrangian particle or the stochastic fields (SF) approach.
However, especially for premixed combustion configurations, characterized by
high reaction rates and thin reaction zones, a fine PDF resolution is required,
both in physical and in composition space, leading to high numerical costs. An
alternative approach to solve a PDF is the method of moments, which has shown
to be numerically efficient in a wide range of applications. In this work, two
Quadrature-based Moment closures are evaluated in the context of turbulent
premixed combustion. The Quadrature-based Moment Methods (QMOM) and the
recently developed Extended QMOM (EQMOM) are used in combination with a
tabulated chemistry approach to approximate the composition PDF. Both closures
are first applied to an established benchmark case for PDF methods, a plug-flow
reactor with imperfect mixing, and compared to reference results obtained from
Lagrangian particle and SF approaches. Second, a set of turbulent premixed
methane-air flames are simulated, varying the Karlovitz number and the
turbulent length scale. The turbulent flame speeds obtained are compared with
SF reference solutions. Further, spatial resolution requirements for simulating
these premixed flames using QMOM are investigated and compared with the
requirements of SF. The results demonstrate that both QMOM and EQMOM approaches
are well suited to reproduce the turbulent flame properties. Additionally, it
is shown that moment methods require lower spatial resolution compared to SF
method.
