Combustion is used in many devices in the chemical industry, in transport, heating and power. Often, design requirements are competing with each other and Computational Fluid Dynamics is a necessary (but not always sufficient) tool to come to a final design. We present a framework for automatic adjoint-based design optimization of combustion devices and we focus on emission reduction and heat transfer optimization in a gas boiler. The flow solution is obtained from the preconditioned compressible Navier-Stokes equations and combustion is modeled using a laminar premixed flamelet approach. Fluid properties and reaction source terms are tabulated as a function of two controlling parameters: a progress variable and the total enthalpy. To increase the accuracy of pollutant emissions, additional transport equations for CO and NOx are solved.
The combustion model is implemented in SU2, the discrete adjoint method is handled by CoDiPack and the optimization cycle is driven by FADO. Automatic remeshing can optionally be performed using the Pointwise mesh generation software. We will demonstrate the method by simultaneously minimizing CO and NOx emissions as well as the outlet temperature of a steady, laminar, premixed methane-air flame in a simplified 2D model of a gas boiler with strong flue gas cooling.
How to join online
The talk is held online via Zoom. You can join with the following link:
Referent: Prof. Nijso Beishuizen, Bosch Deventer and Eindhofen University of Technology
Zeit: 12:00 Uhr
Ort: Hybrid (Room 32-349 and via Zoom)