Hydrogen generation from methanol with network efficient power control for wireless communication system

This paper presents a numerical and experimental study on the performance of a methanol steam reformer integrated with a hydrogen/air combustion reactor for hydrogen production. The steam methane reforming reaction mechanism essential for the rational design of catalysts for efficient hydrogen production was elucidated. The development of non-precious metal hydrogen evolution catalysts to replace platinum is crucial for efficient hydrogen production. The simulation showed that deep neural network algorithms for fluid-structure topology optimization could improve the control effect. Meanwhile, the system can run stably under conditions close to the theoretical optimum with the reformer, non-precious metal catalysts, and neural network methanol flow control.