  A parametric reduced order model based on proper orthogonal decomposition
with Galerkin projection has been developed and applied for the modeling of
heat transport in T-junction pipes which are widely found in nuclear power
plants. Thermal mixing of different temperature coolants in T-junction pipes
leads to temperature fluctuations and this could potentially cause thermal
fatigue in the pipe walls. The novelty of this paper is the development of a
parametric ROM considering the three dimensional, incompressible, unsteady
Navier-Stokes equations coupled with the heat transport equation in a finite
volume approximation. Two different parametric cases are presented in this
paper: parametrization of the inlet temperatures and parametrization of the
kinematic viscosity. Different training spaces are considered and the results
are compared against the full order model.
