Artificial Neural Networks for Predicting Hydrogen Production in Catalytic Dry Reforming: A Systematic Review

Artificial Neural Networks for Predicting Hydrogen Production in Catalytic Dry Reforming: A Systematic Review

Dry reforming of hydrocarbons, alcohols, and biological compounds is one of the most promising and effective avenues to increase hydrogen (H<sub>2</sub>) production. Catalytic dry reforming is used to facilitate the reforming process. The most popular catalysts for dry reforming are Ni-b...

Celý popis

Podrobná bibliografie
Hlavní autoři: Van Thuan Le, Elena-Niculina Dragoi, Fares Almomani, Yasser Vasseghian
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2021-05-01
Edice:Energies
Témata:
hydrogen production
dry reforming
catalyst
meta-analysis
artificial neural network
On-line přístup:https://www.mdpi.com/1996-1073/14/10/2894

Internet

https://www.mdpi.com/1996-1073/14/10/2894

Podobné jednotky