In this work, a flexible framework for discrete adjoint-based reactive flow optimization in SU2 is presented. The implementation is based on a low-Mach number solver and a flamelet progress variable model for strongly cooled laminar premixed flames. Besides the combustion model and the required solvers, methodologies to handle geometrically constrained deformation and an automated re-meshing procedure using Pointwise are shown. Furthermore, validation of the implementation and design optimization of a simplified 2D burner and heat exchanger configuration are presented. 

Heat exchangers are widely used, e.g. in domestic boilers. During natural gas combustion, harmful CO and NOx emissions are formed and have to be minimized. The cooling intensity inside the heat exchanger has an opposing impact on the emissions. For NOx minimization, a quick and strong cooling trajectory is preferred while CO emissions are generally minimized by a slow cooling process.

This work was originally presented at the 1st SU2 Conference and authored by:

• Daniel Mayer, Senior Engineer, Robert Bosch LLC
• Nijso Beishuizen, Expert Engineer, Robert Bosch LLC
• Travis Carrigan, Business Development Manager, Pointwise
• Thomas Economon, Director, SU2 Foundation

The presentation of this work was captured on video and is available for you to watch on demand.