Using machine learning for comparative optimizing a novel integration of molten carbonate and solid oxide fuel cells with CO2 recovering and gasification-Reference-Cited by-同舟云学术

Using machine learning for comparative optimizing a novel integration of molten carbonate and solid oxide fuel cells with CO2 recovering and gasification

Published:2023-12 Issue:97 Volume:48 Page:38454-38472
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Hai Tao,Alenizi Farhan A.,Ubeid Muhsin H.,Goyal Vishal,Alhomayani Fahad Mohammed,Mohammed Metwally Ahmed Sayed

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

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