  With the advent of improved computational resources, aerospace design has
testing-based process to a simulation-driven procedure, wherein uncertainties
in design and operating conditions are explicitly accounted for in the design
under uncertainty methodology. A key source of such uncertainties in design are
the closure models used to account for fluid turbulence. In spite of their
importance, no reliable and extensively tested modules are available to
estimate this epistemic uncertainty. In this article, we outline the EQUiPS
uncertainty estimation module developed for the SU2 CFD suite that focuses on
uncertainty due to turbulence models. The theoretical foundations underlying
this uncertainty estimation and its computational implementation are detailed.
Thence, the performance of this module is presented for a range of test cases,
including both benchmark problems and flows relevant to aerospace design.
Across the range of test cases, the uncertainty estimates of the module were
able to account for a significant portion of the discrepancy between RANS
predictions and high fidelity data.
