Artificial Neural Network-Based Mathematical Model of Methanol Steam Reforming on the Anode of Molten Carbonate Fuel Cell Based on Experimental Research

The article describes a mathematical model of methanol steam reforming taking place at the anode of a molten carbonate fuel cell (MCFC). An artificial neural network with an appropriate structure was subjected to a learning process on the data obtained during an experiment on the laboratory stand fo...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Olaf Dybiński, Tomasz Kurkus, Lukasz Szablowski, Arkadiusz Szczęśniak, Jaroslaw Milewski, Aliaksandr Martsinchyk, Pavel Shuhayeu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-06-01
Edice:	Energies
Témata:	artificial neural networks steam reforming internal reforming methanol molten carbonate fuel cell
On-line přístup:	https://www.mdpi.com/1996-1073/18/11/2901
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!