36 results on '"As'ad, A."'
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2. Thermoeconomic appraisal of a novel power and hydrogen cogeneration plant with integration of biomass and geothermal energies
3. Comparison analysis of hydrogen addition into both anode and afterburner of fuel cell incorporated with hybrid renewable energy driven SOFC: An application of techno-environmental horizon and multi-objective optimization
4. Environmental analysis and optimization of fuel cells integrated with organic rankine cycle using zeotropic mixture
5. Applying energy-exergy, environmental, sustainability, and exergoeconomic metrics and bi-objective optimization for assessment of an innovative tri-generation system
6. 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
7. Modeling and optimization of fuel cell systems combined with a gasifier for producing heat and electricity
8. Using machine learning to predict performance of two cogeneration plants from energy, economic, and environmental perspectives
9. Deep-learning optimization and environmental assessment of nanomaterial's boosted hydrogen and power generation system combined with SOFC
10. Design of a biomass-fueled system to produce hydrogen/power: Environmental analyses and Bi-objective optimization
11. Machine learning-assisted tri-objective optimization inspired by grey wolf behavior of an enhanced SOFC-based system for power and freshwater production
12. Prediction of the SnO2-based sensor response for hydrogen detection by artificial intelligence techniques
13. Improved fish migration optimization method to identify PEMFC parameters
14. Employing a booster/ejector-assisted organic flash cycle to heat recovery of SOFC system; Exergy- and economic-based optimization
15. Prediction of the SnO2-based sensor response for hydrogen detection by artificial intelligence techniques
16. Employing a booster/ejector-assisted organic flash cycle to heat recovery of SOFC system; Exergy- and economic-based optimization
17. Improved fish migration optimization method to identify PEMFC parameters
18. Using nanoparticles for performance enhancement of a solar energy-driven power/hydrogen cogeneration plant based on thermochemical cycles: Multi-aspect analysis and environmental assessment
19. Using nanoparticles for performance enhancement of a solar energy-driven power/hydrogen cogeneration plant based on thermochemical cycles: Multi-aspect analysis and environmental assessment
20. Machine learning-assisted tri-objective optimization inspired by grey wolf behavior of an enhanced SOFC-based system for power and freshwater production
21. Comparison analysis of hydrogen addition into both anode and afterburner of fuel cell incorporated with hybrid renewable energy driven SOFC: An application of techno-environmental horizon and multi-objective optimization
22. 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
23. Environmental analysis and optimization of fuel cells integrated with organic rankine cycle using zeotropic mixture
24. Applying energy-exergy, environmental, sustainability, and exergoeconomic metrics and bi-objective optimization for assessment of an innovative tri-generation system
25. Thermoeconomic appraisal of a novel power and hydrogen cogeneration plant with integration of biomass and geothermal energies
26. Comparison analysis of hydrogen addition into both anode and afterburner of fuel cell incorporated with hybrid renewable energy driven SOFC: An application of techno-environmental horizon and multi-objective optimization
27. Environmental analysis and optimization of fuel cells integrated with organic rankine cycle using zeotropic mixture
28. Modeling and optimization of fuel cell systems combined with a gasifier for producing heat and electricity
29. 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
30. Applying energy-exergy, environmental, sustainability, and exergoeconomic metrics and bi-objective optimization for assessment of an innovative tri-generation system
31. Using machine learning to predict performance of two cogeneration plants from energy, economic, and environmental perspectives
32. Design of a biomass-fueled system to produce hydrogen/power: Environmental analyses and Bi-objective optimization
33. Deep-learning optimization and environmental assessment of nanomaterial's boosted hydrogen and power generation system combined with SOFC
34. Design of a biomass-fueled system to produce hydrogen/power: Environmental analyses and Bi-objective optimization
35. Using machine learning to predict performance of two cogeneration plants from energy, economic, and environmental perspectives
36. Deep-learning optimization and environmental assessment of nanomaterial's boosted hydrogen and power generation system combined with SOFC
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