Authors: Amirante Riccardo, Tamburrano Paolo
This paper aims to perform the fluid dynamic design optimization of an innovative high temperature gas to gas heat exchanger. The immersed particle heat exchanger employs ceramic particles as an intermediate solid medium with high thermal capacity: the particles fall in a column where a hot gas flows from the bottom to the top; the warmed up particles are then collected at the bottom of the column and inserted at the top of a second column where they transfer the accumulated heat to a counterflowing cold gas. This innovative heat exchanger is suitable to externally fired gas turbines fed by dirty fuels, such as biomass and coal. The potential of such heat exchange mode was previously demonstrated, both theoretically and experimentally. In this paper, an effective genetic algorithm, MOGAII, is coupled with a 3D computational fluid dynamics (CFD) analysis to perform the geometric optimization of the immersed particle heat exchanger: the goal is the minimization of its size for an assigned efficiency. The environment employed to couple MOGAII with the commercial CFD tools is modeFRONTIER, by ESTECO.