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

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. (C) 2020 Elsevier Ltd. All rights reserved.

Automated summary

A multi-objective topology optimization method is proposed to enhance the solar thermal decomposition of the methane reactor by generating local solid structure and flow pattern. The method compromises between heat transfer entropy generation and viscous dissipation to improve the heat exchange effect and conversion rate of the reaction in the solar TDM reactor.