Quantum-Inspired MoE-Based Optimal Operation of a Wave Hydrogen Microgrid for Integrated Water, Hydrogen, and Electricity Supply and Trade
This research explores the optimal operation of an offshore wave-powered hydrogen system, specifically designed to supply electricity and water to a bay in Humboldt, California, USA, and also sell it with hydrogen. The system incorporates a desalination unit to provide the island with fresh water an...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/3/461 |
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| author | Hady H. Fayek Fady H. Fayek Eugen Rusu |
| author_facet | Hady H. Fayek Fady H. Fayek Eugen Rusu |
| author_sort | Hady H. Fayek |
| collection | DOAJ |
| description | This research explores the optimal operation of an offshore wave-powered hydrogen system, specifically designed to supply electricity and water to a bay in Humboldt, California, USA, and also sell it with hydrogen. The system incorporates a desalination unit to provide the island with fresh water and feed the electrolyzer to produce hydrogen. The optimization process utilizes a mixture of experts in conjunction with the Quantitative Structure-Activity Relationship (QSAR) algorithm traditionally used in drug design, to achieve two main objectives: minimizing operational costs and maximizing revenue from the sale of water, hydrogen, and electricity. Many case studies are examined, representing typical electricity demand and wave conditions during typical summer, winter, spring, and fall days. The simulation, optimization, and results are carried out using MATLAB 2018 and SAM 2024 software applications. The findings demonstrate that the combination of the QSAR algorithm and quantum-inspired MoE results in higher revenue and lower costs compared to other current techniques, with hydrogen sales being the primary contributor to increased income. |
| format | Article |
| id | doaj-art-ad55c31fe0da4c738ca327e20d515809 |
| institution | Kabale University |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-ad55c31fe0da4c738ca327e20d5158092025-08-20T03:43:22ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-02-0113346110.3390/jmse13030461Quantum-Inspired MoE-Based Optimal Operation of a Wave Hydrogen Microgrid for Integrated Water, Hydrogen, and Electricity Supply and TradeHady H. Fayek0Fady H. Fayek1Eugen Rusu2Department of Energy and Renewable Energy Engineering, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo 11786, EgyptFaculty of Pharmacy, Egyptian Chinese University, Cairo 11786, EgyptDepartment of Mechanical Engineering, Faculty of Engineering, “Dunarea de Jos” University of Galati, 800008 Galati, RomaniaThis research explores the optimal operation of an offshore wave-powered hydrogen system, specifically designed to supply electricity and water to a bay in Humboldt, California, USA, and also sell it with hydrogen. The system incorporates a desalination unit to provide the island with fresh water and feed the electrolyzer to produce hydrogen. The optimization process utilizes a mixture of experts in conjunction with the Quantitative Structure-Activity Relationship (QSAR) algorithm traditionally used in drug design, to achieve two main objectives: minimizing operational costs and maximizing revenue from the sale of water, hydrogen, and electricity. Many case studies are examined, representing typical electricity demand and wave conditions during typical summer, winter, spring, and fall days. The simulation, optimization, and results are carried out using MATLAB 2018 and SAM 2024 software applications. The findings demonstrate that the combination of the QSAR algorithm and quantum-inspired MoE results in higher revenue and lower costs compared to other current techniques, with hydrogen sales being the primary contributor to increased income.https://www.mdpi.com/2077-1312/13/3/461wave energy convertershydrogen energymixture of expertsHumboldt BayPacific OceanQSAR optimization |
| spellingShingle | Hady H. Fayek Fady H. Fayek Eugen Rusu Quantum-Inspired MoE-Based Optimal Operation of a Wave Hydrogen Microgrid for Integrated Water, Hydrogen, and Electricity Supply and Trade Journal of Marine Science and Engineering wave energy converters hydrogen energy mixture of experts Humboldt Bay Pacific Ocean QSAR optimization |
| title | Quantum-Inspired MoE-Based Optimal Operation of a Wave Hydrogen Microgrid for Integrated Water, Hydrogen, and Electricity Supply and Trade |
| title_full | Quantum-Inspired MoE-Based Optimal Operation of a Wave Hydrogen Microgrid for Integrated Water, Hydrogen, and Electricity Supply and Trade |
| title_fullStr | Quantum-Inspired MoE-Based Optimal Operation of a Wave Hydrogen Microgrid for Integrated Water, Hydrogen, and Electricity Supply and Trade |
| title_full_unstemmed | Quantum-Inspired MoE-Based Optimal Operation of a Wave Hydrogen Microgrid for Integrated Water, Hydrogen, and Electricity Supply and Trade |
| title_short | Quantum-Inspired MoE-Based Optimal Operation of a Wave Hydrogen Microgrid for Integrated Water, Hydrogen, and Electricity Supply and Trade |
| title_sort | quantum inspired moe based optimal operation of a wave hydrogen microgrid for integrated water hydrogen and electricity supply and trade |
| topic | wave energy converters hydrogen energy mixture of experts Humboldt Bay Pacific Ocean QSAR optimization |
| url | https://www.mdpi.com/2077-1312/13/3/461 |
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