Dual-objective optimization of biofuel-based solid oxide fuel cell energy system for hydrogen fuel and desalinated water production-Reference-Cited by-同舟云学术

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Dual-objective optimization of biofuel-based solid oxide fuel cell energy system for hydrogen fuel and desalinated water production

Published:2023-02 Issue: Volume:334 Page:126598
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Sun Wen,Li Tian,Hong Yaoliang,Chu Huaqiang,Liu Junxia,Feng Li

Funder

Guangdong University of Technology - University Town Campus

Scientific and Technological Planning Project of Guangzhou City

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference45 articles.

1. 4E investigating of a combined power plant and converting it to a multigeneration system to reduce environmental pollutant production and sustainable development;Ghasemiasl;Energy Convers Manage,2021

2. Multi-objective optimization of process cogeneration systems with economic, environmental, and social tradeoffs;Bamufleh;Clean Technol Environ Policy,2013

3. Multi-objective optimization of a hybrid biomass-based SOFC/GT/double effect absorption chiller/RO desalination system with CO2 recycle;Behzadi;Energy Convers Manage,2019

4. Optimization of a novel carbon dioxide cogeneration system using artificial neural network and multi-objective genetic algorithm;Jamali;Appl Therm Eng,2014

5. Analysis and optimization of the use of CHP–ORC systems for small commercial buildings;Mago;Energy Build,2010

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1. Machine learning-based optimization and 4E analysis of renewable-based polygeneration system by integration of GT-SRC-ORC-SOFC-PEME-MED-RO using multi-objective grey wolf optimization algorithm and neural networks;Renewable and Sustainable Energy Reviews;2024-08

2. Thermodynamic, economic, and environmental analyses and multi-objective optimization of a CCHP system based on solid oxide fuel cell and gas turbine hybrid power cycle;Fuel;2024-07

3. On the utilization of artificial intelligence for studying and multi-objective optimizing a compressed air energy storage integrated energy system;Journal of Energy Storage;2024-04

4. Optimal design and off-design performance improvement for power-to-methane system integrating solid oxide electrolysis cell with methanation reactor;Fuel;2024-01

5. Recurrent neural networks optimization of biomass-based solid oxide fuel cells combined with the hydrogen fuel electrolyzer and reverse osmosis water desalination;Fuel;2023-08

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