Work

Development and analysis of a new method in developments of molten carbonate fuel cell technology, based on hybrid supercritical carbon dioxide for multi objective optimization based on machine learning techniques

Year: 2023

Type: article

Source: International Journal of Hydrogen Energy

DOI: 10.1016/j.ijhydene.2023.01.106

Authors: Jincheng Zhou, Sameer Alsharif, As'ad Alizadeh, Masood Ashraf Ali, Vishal Goyal

Institutions: Guizhou University, Qiannan Normal College For Nationalities, Taif University, Cihan University-Erbil, Prince Sattam Bin Abdulaziz University, GLA University

Language: English

Topic: Thermodynamic and Exergetic Analyses of Power and Cooling Systems

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: closed

Funders: Prince Sattam bin Abdulaziz University, National Natural Science Foundation of China, Guizhou Science and Technology Department, Taif University

Awards: G1816801753, G188680697, G4304106177, 变元正负出现概率受控的随机正则k-SAT问题研究

OpenAlex ID: W4320041201

FWCI: 0.789

Cites: 78

Cited by: 8

Related to: 10