Solid oxide fuel cell energy system with absorption-ejection refrigeration optimized using a neural network with multiple objectives-Reference-Cited by-同舟云学术

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Solid oxide fuel cell energy system with absorption-ejection refrigeration optimized using a neural network with multiple objectives

Published:2024-01 Issue: Volume:52 Page:954-972
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.,Mohammed Adil Hussein,Goyal Vishal,Marjan Riyam K.,Quzwain Kamelia,Mohammed Metwally Ahmed Sayed

Publisher

Elsevier BV

Subject

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

Reference71 articles.

1. UV-derived double crosslinked PEO-based solid polymer electrolyte for room temperature;Ji;J Colloid Interface Sci,2023

2. A low-carbon, fixed-tour scheduling problem with time windows in a time-dependent traffic environment;Zhang;Int J Prod Res,2022

3. Minimum hydrogen consumption-based energy management strategy for hybrid fuel cell unmanned aerial vehicles using direction prediction optimal foraging algorithm;Quan;Fuel Cell,2023

4. Design a new thermoelectric module with high practicability based on experimental measurement;Miao;Energy Convers Manag,2021

5. Trajectory optimization of an electric vehicle with minimum energy consumption using inverse dynamics model and servo constraints;Min;Mech Mach Theor,2023

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1. Effects of motive flow temperature on holding steam ejector Performance under Condenser temperature change by considering Entropy generation and Non-equilibrium condensation;Applied Thermal Engineering;2024-12

2. Waste-to-energy poly-generation scheme for hydrogen/freshwater/power/oxygen/heating capacity production; optimized by regression machine learning algorithms;Process Safety and Environmental Protection;2024-07

3. Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning;Energy Informatics;2024-02-26

4. Comparative study on thermodynamic analysis of solid oxide fuel cells supplied with methanol or ammonia;International Journal of Hydrogen Energy;2024-01

5. Performance evaluation of supersonic flow for variable geometry radial ejector through CFD models based on DES-turbulence models, GPR machine learning, and MPA optimization;International Journal of Thermofluids;2023-11

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