Optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the PyPSA power system modelling tool
Abstract Eight scenarios where high efficiency reversible solid oxide cells (rSOC) are combined with an offshore wind farm are identified. Thanks to the PyPSA power system modelling tool combined with a sensitivity study, optimized rSOC system capacities, hydrogen storage capacities, and subsea cabl...
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| Language: | English |
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Wiley
2024-11-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.13134 |
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| author | Jessica Guichard Robert Rawlinson‐Smith Deborah Greaves |
| author_facet | Jessica Guichard Robert Rawlinson‐Smith Deborah Greaves |
| author_sort | Jessica Guichard |
| collection | DOAJ |
| description | Abstract Eight scenarios where high efficiency reversible solid oxide cells (rSOC) are combined with an offshore wind farm are identified. Thanks to the PyPSA power system modelling tool combined with a sensitivity study, optimized rSOC system capacities, hydrogen storage capacities, and subsea cable connection capacities are investigated under various combinations of rSOC system capital cost, prices paid for hydrogen, and electricity prices, which give indications on the most profitable scenario for offshore hydrogen production from a 600 MW wind farm situated 60 km from shore. Low electricity prices (yearly average 45 £/MWh) combined with mild fluctuations (standard deviation 6 or 13 £/MWh) call for dedicated hydrogen production when the hydrogen price exceeds 4 £/kg. High electricity prices (yearly average 118 or 204 £/MWh), combined with extreme fluctuations (standard deviation between 73 and 110 £/MWh), make a reversible system economically profitable. The amount of hydrogen which is recommended to be reconverted into electricity depends on the price paid for hydrogen. Comparison of the optimized cases to the default case of a wind farm without hydrogen production improved profit by at least 3% and up to 908%. Comparison to the default case of dedicated hydrogen production, showed that in the case of low hydrogen prices, an unprofitable scenario can be made profitable, and improvement of profit in the case of a profitable default case starts at 4% and reaches numbers as high as 324%. |
| format | Article |
| id | doaj-art-09d1a46a850a41ceb86d6fe88f731951 |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
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| series | IET Renewable Power Generation |
| spelling | doaj-art-09d1a46a850a41ceb86d6fe88f7319512024-11-18T14:18:26ZengWileyIET Renewable Power Generation1752-14161752-14242024-11-0118153091311110.1049/rpg2.13134Optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the PyPSA power system modelling toolJessica Guichard0Robert Rawlinson‐Smith1Deborah Greaves2COAST Engineering Research Group, School of Engineering, Computing and Mathematics University of Plymouth Plymouth Devon UKCOAST Engineering Research Group, School of Engineering, Computing and Mathematics University of Plymouth Plymouth Devon UKCOAST Engineering Research Group, School of Engineering, Computing and Mathematics University of Plymouth Plymouth Devon UKAbstract Eight scenarios where high efficiency reversible solid oxide cells (rSOC) are combined with an offshore wind farm are identified. Thanks to the PyPSA power system modelling tool combined with a sensitivity study, optimized rSOC system capacities, hydrogen storage capacities, and subsea cable connection capacities are investigated under various combinations of rSOC system capital cost, prices paid for hydrogen, and electricity prices, which give indications on the most profitable scenario for offshore hydrogen production from a 600 MW wind farm situated 60 km from shore. Low electricity prices (yearly average 45 £/MWh) combined with mild fluctuations (standard deviation 6 or 13 £/MWh) call for dedicated hydrogen production when the hydrogen price exceeds 4 £/kg. High electricity prices (yearly average 118 or 204 £/MWh), combined with extreme fluctuations (standard deviation between 73 and 110 £/MWh), make a reversible system economically profitable. The amount of hydrogen which is recommended to be reconverted into electricity depends on the price paid for hydrogen. Comparison of the optimized cases to the default case of a wind farm without hydrogen production improved profit by at least 3% and up to 908%. Comparison to the default case of dedicated hydrogen production, showed that in the case of low hydrogen prices, an unprofitable scenario can be made profitable, and improvement of profit in the case of a profitable default case starts at 4% and reaches numbers as high as 324%.https://doi.org/10.1049/rpg2.13134decision makinghydrogen productionhydrogen storageoffshore installationsoptimisationpower generation economics |
| spellingShingle | Jessica Guichard Robert Rawlinson‐Smith Deborah Greaves Optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the PyPSA power system modelling tool IET Renewable Power Generation decision making hydrogen production hydrogen storage offshore installations optimisation power generation economics |
| title | Optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the PyPSA power system modelling tool |
| title_full | Optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the PyPSA power system modelling tool |
| title_fullStr | Optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the PyPSA power system modelling tool |
| title_full_unstemmed | Optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the PyPSA power system modelling tool |
| title_short | Optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the PyPSA power system modelling tool |
| title_sort | optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the pypsa power system modelling tool |
| topic | decision making hydrogen production hydrogen storage offshore installations optimisation power generation economics |
| url | https://doi.org/10.1049/rpg2.13134 |
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