Hydrogen Production by Fluidized Bed Reactors: A Quantitative Perspective Using the Supervised Machine Learning Approach

Hydrogen Production by Fluidized Bed Reactors: A Quantitative Perspective Using the Supervised Machine Learning Approach

The current hydrogen generation technologies, especially biomass gasification using fluidized bed reactors (FBRs), were rigorously reviewed. There are involute operational parameters in a fluidized bed gasifier that determine the anticipated outcomes for hydrogen production purposes. However, limite...

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Bibliographic Details
Main Authors: Zheng Lian, Yixiao Wang, Xiyue Zhang, Abubakar Yusuf, Lord Famiyeh, David Murindababisha, Huan Jin, Yiyang Liu, Jun He, Yunshan Wang, Gang Yang, Yong Sun
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:J
Subjects:
hydrogen
fluidized bed reactor
supervised machine learning
review
Online Access:https://www.mdpi.com/2571-8800/4/3/22

Internet

https://www.mdpi.com/2571-8800/4/3/22

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