| Title: | A particle swarm optimisation-based decision-support tool for efficient sizing of hydrogen systems in hydropower plants |
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| Authors: | ID Jovan, David Jure, Institut "Jožef Stefan" (Author)
ID Dolanc, Gregor, Institut "Jožef Stefan" (Author)
ID Pregelj, Boštjan, Institut "Jožef Stefan" (Author) |
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| Files: |  PDF - Presentation file, download (3,76 MB)
MD5: 53BA7955D2105917FCBA4483AE217621
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  IJS - Jožef Stefan Institute
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| Abstract: | The integration of hydrogen technologies with renewable energy sources, such as hydropower, enhances the potential of green hydrogen production while maintaining electricity generation. This paper presents a method for optimally sizing a hydrogen system within a hydropower plant, enabling the cogeneration of green hydrogen and electricity. A decision-support tool based on particle swarm optimisation is developed to balance technical and economic factors, including hydrogen demand, water reserves, electrolyser efficiency, installation costs, and energy-market prices. The approach is applied to a case-study hydropower plant, utilising excess hydropower and photovoltaic electricity to produce hydrogen. The tool successfully optimises multiple objectives, such as income maximisation and hydrogen production targets, demonstrating its potential for integrating hydrogen systems into renewable energy frameworks. This work highlights a viable pathway for advancing the adoption of hydrogen technologies in sustainable energy systems |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 05.11.2024 |
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| Article acceptance date: | 07.01.2025 |
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| Publication date: | 11.01.2025 |
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| Publisher: | Elsevier |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 513-522 |
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| Numbering: | Vol. 102, January |
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| Source: | Nizozemska |
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| PID: | 20.500.12556/DiRROS-21216  |
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| UDC: | 539 |
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| ISSN on article: | 0360-3199 |
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| DOI: | 10.1016/j.ijhydene.2025.01.10 |
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| COBISS.SI-ID: | 222671107 |
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| Copyright: | © 2025 The Authors. |
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| Publication date in DiRROS: | 16.01.2025 |
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| Views: | 18 |
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| Downloads: | 5 |
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