Per an article in techxplore.com
Recently, a research team led by Prof. Li Xianfeng from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences proposed a machine learning-based strategy to predict and optimize the performance and cost of VFBs.
(..)
This work was published in Energy & Environmental Science on Sept. 22.
(..)
This machine learning model can predict the voltage efficiency, energy efficiency, and electrolyte utilization ratio of the VFB stack, as well as the power and energy cost of the VFB system with high accuracy.
No comments:
Post a Comment