Multi-objective topology optimization for the solar thermal decomposition of methane reactor enhancement

Abstract

A multi-objective topology optimization method is proposed to generate local solid structure that can enhance the solar thermal decomposition of the methane (TDM) reactor. Two dominant factors can govern the performance of solar reactor, with heat transfer entropy generation and viscous dissipation representing heat exchange capability and flow resistance, respectively. Therefore, local solid structure and flow pattern can be generated under the compromise between the extreme value of the two factors. This multi-objective topology optimization problem is solved by the calculus of variations method and globally convergent version of the method of moving asymptotes (GCMMA) with the governing equations of the solar TDM reactor as constraints. A novel local structure of the solar TDM reactor is generated, which can improve the heat exchange effect and the conversion rate of the reaction.