Deep learning optimization of a biomass and biofuel-driven energy system with energy storage option for electricity, cooling, and desalinated water-Reference-Cited by-同舟云学术

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Deep learning optimization of a biomass and biofuel-driven energy system with energy storage option for electricity, cooling, and desalinated water

Published:2023-02 Issue: Volume:334 Page:126024
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Hai Tao,Alsharif Sameer,Aziz Kosar Hikmat Hama,Dhahad Hayder A.,Kumar Singh Pradeep

Publisher

Elsevier BV

Subject

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

Reference50 articles.

1. Techno-economic assessment of a biomass-driven liquid air energy storage (LAES) system for optimal operation with wind turbines;Cao;Fuel,2022

2. Multi-objective optimization of a dual energy-driven solid oxide fuel cell-based power plant;Cao;Appl Therm Eng,2021

3. Dynamic simulation and lifecycle assessment of hydrogen fuel cell electric vehicles considering various hydrogen production methods;Ahmadi;Int J Hydrogen Energy,2022

4. Hydrogen extraction from a new integrated trigeneration system working with zeotropic mixture, using waste heat of a marine diesel engine;Feili;Int J Hydrogen Energy,2020

5. Lifecycle assessment of diesel, diesel-electric and hydrogen fuel cell transit buses with fuel cell degradation and battery aging using machine learning techniques;Ahmadi;Energy,2022

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1. Economic/sustainability optimization/analysis of an environmentally friendly trigeneration biomass gasification system using advanced machine learning;Energy;2024-11

2. Thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; A multi-attitude optimization based on ANN approach;Case Studies in Thermal Engineering;2024-03

3. Deep learning-assisted multi-objective optimization of coke dry quenching system efficiency;Fuel;2024-03

4. Economic and environmental assessment and bi-objective optimization of a novel biomass-powered co-generation system: Impact of design parameters;Process Safety and Environmental Protection;2024-02

5. A multi-criteria decision study with sensitivity analysis on a tri-generation system based on gas turbine fueled by wheat straw biomass;Thermal Science and Engineering Progress;2024-01

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