Advancing Solar Thermal Utilization by Optimization of Phase Change Material Thermal Storage Systems: A Hybrid Approach of Artificial Neural Network (ANN)/Genetic Algorithm (GA) DOI Creative Commons

Longyi Ran,

Gongxing Yan, Vishal Goyal

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 64, P. 105513 - 105513

Published: Nov. 16, 2024

Language: Английский

Development of a poly-generation layout centered on the utilization of rice straw triggered by an air-gas turbine cycle; Multi-facet optimization DOI
Ahmed G. Abo‐Khalil, Yasser Fouad, Pradeep Kumar Singh

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 189, P. 440 - 453

Published: June 22, 2024

Language: Английский

Citations

2

Economic/sustainability optimization/analysis of an environmentally friendly trigeneration biomass gasification system using advanced machine learning DOI

Luyao Zhang,

Xueke Wang, Azher M. Abed

et al.

Energy, Journal Year: 2024, Volume and Issue: 308, P. 132703 - 132703

Published: Aug. 4, 2024

Language: Английский

Citations

2

Thermal integration process for waste heat recovery of SOFC to produce cooling/H2/power/freshwater; cost/thermal/environmental optimization scenarios DOI Creative Commons
Tirumala Uday Kumar Nutakki, Oday A. Ahmed, Pradeep Kumar Singh

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 61, P. 104932 - 104932

Published: Aug. 5, 2024

High-temperature fuel cells (HT-FCs) indeed hold significant promise for enhancing energy systems' efficiency and environmental sustainability. Consequently, there is growing interest in exploring developing innovative strategies to optimize the integration of heat recovery processes with HT-FC technology. The current research presents an environmentally friendly poly-generation unit that integrates advanced subprocesses generate essential products. These final products include electricity, refrigeration, pure water, hydrogen. This study signifies a step towards sustainable efficient production while meeting diverse needs different utilities. design incorporates novel modified dual ejector-based organic flash cycle, reverse osmosis water purification, electrolyzer hydrogen extraction, all integrated high-temperature solid oxide cell. Energy, exergy, economic, (4E) analysis conducted thoroughly evaluate proposed plan. Furthermore, comprehensive parametric sensitivity are performed pinpoint key parameters unit. To attain optimal operational status unit, three-objective NSGA-II optimization technique employed fine-tune system's performance within exergy-cost-environmental framework. approach aims strike balance between maximizing efficiency, minimizing costs, reducing impact operations. In addition, net present value spanning 20-year timeframe was assess profitability devised Based on findings, it evident index cell operating temperature carries substantial importance, registering notable 0.60. Additionally, outcomes reveal enhanced metrics: exergetic 41.11 %, cost 58.96 $/GJ, carbon dioxide emission reduction rate 418 kg/MWh. Also, unit's payback period shortened from 11.33 years 8.817 years. Moreover, improved sustainability value, raising them 1.544 4.98 M$ 1.66 7.38 M$.

Language: Английский

Citations

2

Artificial Intelligence Application for Assessment/Optimization of a Double-Flash Geothermal Scheme Tailored Combined Heat/Power Plant DOI
Xuetao Li, Azher M. Abed, Mohamed Shaban

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133594 - 133594

Published: Oct. 1, 2024

Language: Английский

Citations

2

Advancing Solar Thermal Utilization by Optimization of Phase Change Material Thermal Storage Systems: A Hybrid Approach of Artificial Neural Network (ANN)/Genetic Algorithm (GA) DOI Creative Commons

Longyi Ran,

Gongxing Yan, Vishal Goyal

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 64, P. 105513 - 105513

Published: Nov. 16, 2024

Language: Английский

Citations

2