A multiobjective optimization of a catalyst distribution in a methane/steam reforming reactor using a genetic algorithm

• DOI: 10.1016/j.ijhydene.2020.02.228
• Publication Date: 2020-05-04T12:17:13Z
• Authors: Marcin Pajak; Szymon Buchaniec; Shinji Kimijima; Janusz S. Szmyd; Grzegorz Brus
• Keywords: Methane reformer

The presented research focuses on an optimization design of a catalyst distribution inside small-scale methane/steam reforming reactor. A genetic algorithm was used for the multiobjective optimization, which included search optimum methane conversion rate and minimum difference between highest lowest temperatures in For sake computational time, maximal number segment with different densities set to be thirty this study. During entire process, every part reactor could filled, either material or non-catalytic metallic foam. In both cases, porosity pore size also specified. impact active reaction surface permeability incorporated using graph theory three-dimensional digital representation. Calculations start generation random possible reactors, each distribution. calls simulation over after obtaining concentration temperature fields, algorithms calculated fitness function. properties best reactors are combined generate new population solutions. procedure is repeated, meeting coverage criteria, optimal proposed. paper summarized given working conditions system.