  The PANS equations model is used to predict the transitional Taylor-Green
vortex (TGV) flow at Re=3000. A new form of the closure is proposed, in which
the PANS procedure is applied to a variant of the BHR turbulence model. The TGV
is a benchmark case for transitional flows in which the onset of turbulence is
driven by vortex-stretching and reconnection mechanisms. Since these physical
phenomena are observed in numerous flows of variable-density, this study
constitutes the first step toward extending the PANS method to such a class of
problems. We start by deriving the governing equations of the model and analyze
the selection of the parameters controlling its physical resolution, fe and fk,
through a-priori testing. Afterward, we conduct PANS computations at different
constant physical resolutions to evaluate the model's accuracy and cost
predicting the TGV flow. This is performed through simple verification and
validation exercises, and the physical and modeling interpretation of the
numerical predictions. The results confirm that PANS can efficiently (accuracy
vs. cost) predict the present flow problem. Yet, this is closely dependent on
the physical resolution of the model. Whereas high-physical resolution
(fk<0.50) computations are in good agreement with the reference DNS studies,
low-physical resolution (fk>=0.50) simulations lead to large discrepancies with
the reference data. The physical and modeling interpretation of the results
demonstrates that the origin of these distinct behaviors lies in the model's
ability to resolve the phenomena driving the onset of turbulence not amenable
to modeling by the closure. The comparison of the computations' cost indicates
that high-physical resolution PANS achieves the accuracy of DNS (fk=0.00) at a
fraction of the cost. We observe a cost reduction of one order of magnitude at
the current Re, which is expected to grow with Re.
