Optimal Design and Analysis of a Hybrid Hydrogen Energy Storage System for an Island-Based Renewable Energy Community
Installations of decentralised renewable energy systems (RES) are becoming increasing popular as governments introduce ambitious energy policies to curb emissions and slow surging energy costs. This work presents a novel model for optimal sizing for a decentralised renewable generation and hybrid st...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/21/7363 |
| _version_ | 1827765696387350528 |
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| author | Robert Garner Zahir Dehouche |
| author_facet | Robert Garner Zahir Dehouche |
| author_sort | Robert Garner |
| collection | DOAJ |
| description | Installations of decentralised renewable energy systems (RES) are becoming increasing popular as governments introduce ambitious energy policies to curb emissions and slow surging energy costs. This work presents a novel model for optimal sizing for a decentralised renewable generation and hybrid storage system to create a renewable energy community (REC), developed in Python. The model implements photovoltaic (PV) solar and wind turbines combined with a hybrid battery and regenerative hydrogen fuel cell (RHFC). The electrical service demand was derived using real usage data from a rural island case study location. Cost remuneration was managed with an REC virtual trading layer, ensuring fair distribution among actors in accordance with the European RED(III) policy. A multi-objective genetic algorithm (GA) stochastically determines the system capacities such that the inherent trade-off relationship between project cost and decarbonisation can be observed. The optimal design resulted in a levelized cost of electricity (LCOE) of 0.15 EUR/kWh, reducing costs by over 50% compared with typical EU grid power, with a project internal rate of return (IRR) of 10.8%, simple return of 9.6%/year, and return on investment (ROI) of 9 years. The emissions output from grid-only use was reduced by 72% to 69 gCO<sub>2</sub><i>e</i>/kWh. Further research of lifetime economics and additional revenue streams in combination with this work could provide a useful tool for users to quickly design and prototype future decentralised REC systems. |
| first_indexed | 2024-03-11T11:30:45Z |
| format | Article |
| id | doaj.art-6ebcb128bdd14549a86e7b1835e411e3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T11:30:45Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-6ebcb128bdd14549a86e7b1835e411e32023-11-10T15:02:18ZengMDPI AGEnergies1996-10732023-10-011621736310.3390/en16217363Optimal Design and Analysis of a Hybrid Hydrogen Energy Storage System for an Island-Based Renewable Energy CommunityRobert Garner0Zahir Dehouche1College of Engineering, Design and Physical Sciences, Brunel University London, London UB8 3PH, UKCollege of Engineering, Design and Physical Sciences, Brunel University London, London UB8 3PH, UKInstallations of decentralised renewable energy systems (RES) are becoming increasing popular as governments introduce ambitious energy policies to curb emissions and slow surging energy costs. This work presents a novel model for optimal sizing for a decentralised renewable generation and hybrid storage system to create a renewable energy community (REC), developed in Python. The model implements photovoltaic (PV) solar and wind turbines combined with a hybrid battery and regenerative hydrogen fuel cell (RHFC). The electrical service demand was derived using real usage data from a rural island case study location. Cost remuneration was managed with an REC virtual trading layer, ensuring fair distribution among actors in accordance with the European RED(III) policy. A multi-objective genetic algorithm (GA) stochastically determines the system capacities such that the inherent trade-off relationship between project cost and decarbonisation can be observed. The optimal design resulted in a levelized cost of electricity (LCOE) of 0.15 EUR/kWh, reducing costs by over 50% compared with typical EU grid power, with a project internal rate of return (IRR) of 10.8%, simple return of 9.6%/year, and return on investment (ROI) of 9 years. The emissions output from grid-only use was reduced by 72% to 69 gCO<sub>2</sub><i>e</i>/kWh. Further research of lifetime economics and additional revenue streams in combination with this work could provide a useful tool for users to quickly design and prototype future decentralised REC systems.https://www.mdpi.com/1996-1073/16/21/7363decentralised energy systemsrenewable energy communityhydrogen energy storage systemdecarbonisationtechno-economic assessmentmulti-objective optimisation |
| spellingShingle | Robert Garner Zahir Dehouche Optimal Design and Analysis of a Hybrid Hydrogen Energy Storage System for an Island-Based Renewable Energy Community Energies decentralised energy systems renewable energy community hydrogen energy storage system decarbonisation techno-economic assessment multi-objective optimisation |
| title | Optimal Design and Analysis of a Hybrid Hydrogen Energy Storage System for an Island-Based Renewable Energy Community |
| title_full | Optimal Design and Analysis of a Hybrid Hydrogen Energy Storage System for an Island-Based Renewable Energy Community |
| title_fullStr | Optimal Design and Analysis of a Hybrid Hydrogen Energy Storage System for an Island-Based Renewable Energy Community |
| title_full_unstemmed | Optimal Design and Analysis of a Hybrid Hydrogen Energy Storage System for an Island-Based Renewable Energy Community |
| title_short | Optimal Design and Analysis of a Hybrid Hydrogen Energy Storage System for an Island-Based Renewable Energy Community |
| title_sort | optimal design and analysis of a hybrid hydrogen energy storage system for an island based renewable energy community |
| topic | decentralised energy systems renewable energy community hydrogen energy storage system decarbonisation techno-economic assessment multi-objective optimisation |
| url | https://www.mdpi.com/1996-1073/16/21/7363 |
| work_keys_str_mv | AT robertgarner optimaldesignandanalysisofahybridhydrogenenergystoragesystemforanislandbasedrenewableenergycommunity AT zahirdehouche optimaldesignandanalysisofahybridhydrogenenergystoragesystemforanislandbasedrenewableenergycommunity |