Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-economic analysis
This comprehensive investigation undertakes a holistic examination of the design, simulation, and optimization of a hybrid thermal energy system (HTES) that synergistically integrates wind and solar energy sources for the simultaneous production of electricity, compressed hydrogen, and freshwater. T...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25000085 |
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| author | Zhaoyang Zuo Junhua Wang Mohammed A. Alghassab Nashwan Adnan Othman Ahmad Almadhor Fahad M. Alhomayani Hind Albalawi Samah G. Babiker Barno Abdullaeva Aboulbaba Eladeb |
| author_facet | Zhaoyang Zuo Junhua Wang Mohammed A. Alghassab Nashwan Adnan Othman Ahmad Almadhor Fahad M. Alhomayani Hind Albalawi Samah G. Babiker Barno Abdullaeva Aboulbaba Eladeb |
| author_sort | Zhaoyang Zuo |
| collection | DOAJ |
| description | This comprehensive investigation undertakes a holistic examination of the design, simulation, and optimization of a hybrid thermal energy system (HTES) that synergistically integrates wind and solar energy sources for the simultaneous production of electricity, compressed hydrogen, and freshwater. This study introduces an innovative energy system design that integrates a supercritical CO2 Brayton cycle (SCO2-BC) with parabolic trough solar collectors (PTSCs) to increase efficiency and reliability. A key innovation is using waste heat from the SCO2-BC to power an organic Rankine cycle (ORC), which improves the performance and power generation capacity of the proposed system. Additionally, the machine learning optimization technique is employed to optimize the system, significantly reducing computational costs and runtime for the optimization process. The thermal energy input of HTES is supplied by PTSCs, which drive the SCO2-BC, while an ORC unit is employed to recuperate waste heat at the compressor inlet, thereby augmenting electricity generation. Furthermore, the HTES is augmented by a wind turbine to supplement power production. A multidisciplinary techno-economic and environmental framework was applied to analyze the performance of the proposed system. The preliminary simulation results indicate that the solar unit significantly contributes to both exergy destruction and the total cost rate, accounting for 53.8 % of the total exergy losses and 64.9 % of the total costs, respectively. Ultimately, the optimized simulation utilizing a hybrid machine learning approach achieved a peak exergy efficiency of 27.37 % and a minimized total cost rate of 96.2 $/h. Under the optimal operating conditions derived from the multi-objective optimization, the levelized costs of the HTES's products were determined to be 12.63 cents/kWh for electricity, 4.75 $/kg for compressed hydrogen, and 20.59 cents/m3 for freshwater. Furthermore, the environmental assessment indicated that the cost of reducing CO2 emissions is 3.69 $/h under optimal conditions. |
| format | Article |
| id | doaj-art-2f826a98a9f94a4a9ae0b95ac58f87ab |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-2f826a98a9f94a4a9ae0b95ac58f87ab2025-02-02T05:27:20ZengElsevierCase Studies in Thermal Engineering2214-157X2025-02-0166105748Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-economic analysisZhaoyang Zuo0Junhua Wang1Mohammed A. Alghassab2Nashwan Adnan Othman3Ahmad Almadhor4Fahad M. Alhomayani5Hind Albalawi6Samah G. Babiker7Barno Abdullaeva8Aboulbaba Eladeb9School of Mechanical Engineering, Xijing University, Xi'an, Shaanxi, 710123, ChinaSchool of Computer Science, South China Business College Guangdong University of Foreign Studies, Gangzhou, 510545, Guangdong, China; Corresponding author.Electrical Engineering Department, College of Engineering, Shaqra University, Riyadh, 11911, Saudi Arabia; Corresponding author.Department of Computer Engineering, College of Engineering, Knowledge University, Erbil, 44001, Iraq; Department of Computer Engineering, Al-Kitab University, Altun Kupri, IraqDepartment of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Saudi ArabiaCollege of Computers and Information Technology, Taif University, Saudi Arabia; Applied College, Taif University, Saudi ArabiaDepartment of Physics, College of Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaDepartment of Electronic Physics, Faculty of Applied Science, Red Sea University, Port Sudan, Sudan; Corresponding author.Department of Mathematics and Information Technologies, Vice-Rector for Scientific Affairs, Tashkent State Pedagogical University, Tashkent, UzbekistanDepartment of Chemical and Materials Engineering, College of Engineering, Northern Border University, P.O. Box 1321, Arar, Saudi ArabiaThis comprehensive investigation undertakes a holistic examination of the design, simulation, and optimization of a hybrid thermal energy system (HTES) that synergistically integrates wind and solar energy sources for the simultaneous production of electricity, compressed hydrogen, and freshwater. This study introduces an innovative energy system design that integrates a supercritical CO2 Brayton cycle (SCO2-BC) with parabolic trough solar collectors (PTSCs) to increase efficiency and reliability. A key innovation is using waste heat from the SCO2-BC to power an organic Rankine cycle (ORC), which improves the performance and power generation capacity of the proposed system. Additionally, the machine learning optimization technique is employed to optimize the system, significantly reducing computational costs and runtime for the optimization process. The thermal energy input of HTES is supplied by PTSCs, which drive the SCO2-BC, while an ORC unit is employed to recuperate waste heat at the compressor inlet, thereby augmenting electricity generation. Furthermore, the HTES is augmented by a wind turbine to supplement power production. A multidisciplinary techno-economic and environmental framework was applied to analyze the performance of the proposed system. The preliminary simulation results indicate that the solar unit significantly contributes to both exergy destruction and the total cost rate, accounting for 53.8 % of the total exergy losses and 64.9 % of the total costs, respectively. Ultimately, the optimized simulation utilizing a hybrid machine learning approach achieved a peak exergy efficiency of 27.37 % and a minimized total cost rate of 96.2 $/h. Under the optimal operating conditions derived from the multi-objective optimization, the levelized costs of the HTES's products were determined to be 12.63 cents/kWh for electricity, 4.75 $/kg for compressed hydrogen, and 20.59 cents/m3 for freshwater. Furthermore, the environmental assessment indicated that the cost of reducing CO2 emissions is 3.69 $/h under optimal conditions.http://www.sciencedirect.com/science/article/pii/S2214157X25000085Waste heat recoveryRenewable-driven systemRO desalinationSupercritical CO2Brayton cycleHydrogen compression |
| spellingShingle | Zhaoyang Zuo Junhua Wang Mohammed A. Alghassab Nashwan Adnan Othman Ahmad Almadhor Fahad M. Alhomayani Hind Albalawi Samah G. Babiker Barno Abdullaeva Aboulbaba Eladeb Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-economic analysis Case Studies in Thermal Engineering Waste heat recovery Renewable-driven system RO desalination Supercritical CO2 Brayton cycle Hydrogen compression |
| title | Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-economic analysis |
| title_full | Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-economic analysis |
| title_fullStr | Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-economic analysis |
| title_full_unstemmed | Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-economic analysis |
| title_short | Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-economic analysis |
| title_sort | heat re process approach and thermally integrated renewable energy system for power compressed hydrogen and freshwater production ann boosted optimization and techno enviro economic analysis |
| topic | Waste heat recovery Renewable-driven system RO desalination Supercritical CO2 Brayton cycle Hydrogen compression |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X25000085 |
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