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A multi-objective optimisation framework for a standalone hybrid offshore renewable energy system with electrical and hydrogen loads

Author

Listed:
  • Kumar, Sumit
  • Panagant, Natee
  • Arzaghi, Ehsan
  • Baalisampang, Til
  • Garaniya, Vikram
  • Abbassi, Rouzbeh

Abstract

Offshore renewable energy systems (ORESs) have substantial potential to decarbonize industries and clean energy generation. However, they face challenges, including high costs and risks due to uncertain and hazardous marine environments. To address this challenge, this study presents a multi-objective design and optimization framework for a hybrid standalone ORES powering industrial and domestic green electricity and hydrogen loads simultaneously. The hybrid ORES model integrates offshore wind (OWF) and floating solar (FPV) farms with large-scale battery energy storage systems (BESS) and hydrogen storage systems (HSS) as a firming technology. The framework optimises three conflicting objectives, including minimising cost and potential energy waste and maximising system reliability, subject to various technical and economic constraints. To regulate optimal energy flow and protect ORES components, a simple and efficient power management strategy is presented and utilized. Five recent state-of-the-art multi-objective metaheuristics are applied to solve the hybrid ORES design and obtain Pareto solutions. The comparative analysis utilises widely employed Pareto front hypervolume (HV) metric statistics and Friedman's rank test. A case sensitivity analysis is conducted to evaluate the model's robustness, reliability, and effectiveness. Validation of the methodology is conducted through a real-world case study in Australia's offshore region, showcasing its capacity to supply clean energy to industrial and domestic loads. Results indicate SHAMODE-WO's superior diversity and convergence traits in Pareto-optimal sets, with SHAMODE closely trailing. Furthermore, the average Friedman rank across all three cases designates SHAMODE-WO as the top performer. The proposed framework can facilitate decision-makers in addressing complex multi-objective ORES optimization problems and choosing optimal solutions.

Suggested Citation

  • Kumar, Sumit & Panagant, Natee & Arzaghi, Ehsan & Baalisampang, Til & Garaniya, Vikram & Abbassi, Rouzbeh, 2025. "A multi-objective optimisation framework for a standalone hybrid offshore renewable energy system with electrical and hydrogen loads," Energy, Elsevier, vol. 330(C).
    • Handle: RePEc:eee:energy:v:330:y:2025:i:c:s0360544225024685
    DOI: 10.1016/j.energy.2025.136826
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    References listed on IDEAS

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    1. Kashefi Kaviani, A. & Riahy, G.H. & Kouhsari, SH.M., 2009. "Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages," Renewable Energy, Elsevier, vol. 34(11), pages 2380-2390.
    2. Ang, Yu Qian & Polly, Allison & Kulkarni, Aparna & Chambi, Gloria Bahl & Hernandez, Matthew & Haji, Maha N., 2022. "Multi-objective optimization of hybrid renewable energy systems with urban building energy modeling for a prototypical coastal community," Renewable Energy, Elsevier, vol. 201(P1), pages 72-84.
    3. Reuß, M. & Grube, T. & Robinius, M. & Preuster, P. & Wasserscheid, P. & Stolten, D., 2017. "Seasonal storage and alternative carriers: A flexible hydrogen supply chain model," Applied Energy, Elsevier, vol. 200(C), pages 290-302.
    4. Dawoud, Samir M. & Lin, Xiangning & Okba, Merfat I., 2018. "Hybrid renewable microgrid optimization techniques: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2039-2052.
    5. Diaf, S. & Diaf, D. & Belhamel, M. & Haddadi, M. & Louche, A., 2007. "A methodology for optimal sizing of autonomous hybrid PV/wind system," Energy Policy, Elsevier, vol. 35(11), pages 5708-5718, November.
    6. Fathima, A. Hina & Palanisamy, K., 2015. "Optimization in microgrids with hybrid energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 431-446.
    7. Fonseca, Juan D. & Commenge, Jean-Marc & Camargo, Mauricio & Falk, Laurent & Gil, Iván D., 2021. "Multi-criteria optimization for the design and operation of distributed energy systems considering sustainability dimensions," Energy, Elsevier, vol. 214(C).
    8. Ai, B. & Yang, H. & Shen, H. & Liao, X., 2003. "Computer-aided design of PV/wind hybrid system," Renewable Energy, Elsevier, vol. 28(10), pages 1491-1512.
    9. Patel, Alpesh M. & Singal, Sunil Kumar, 2019. "Optimal component selection of integrated renewable energy system for power generation in stand-alone applications," Energy, Elsevier, vol. 175(C), pages 481-504.
    10. Mah, Angel Xin Yee & Ho, Wai Shin & Hassim, Mimi H. & Hashim, Haslenda & Ling, Gabriel Hoh Teck & Ho, Chin Siong & Muis, Zarina Ab, 2021. "Optimization of a standalone photovoltaic-based microgrid with electrical and hydrogen loads," Energy, Elsevier, vol. 235(C).
    11. Ali, Liaqat & Shahnia, Farhad, 2017. "Determination of an economically-suitable and sustainable standalone power system for an off-grid town in Western Australia," Renewable Energy, Elsevier, vol. 106(C), pages 243-254.
    12. Le, Tay Son & Nguyen, Tuan Ngoc & Bui, Dac-Khuong & Ngo, Tuan Duc, 2023. "Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage," Applied Energy, Elsevier, vol. 336(C).
    13. Thirunavukkarasu, M. & Sawle, Yashwant & Lala, Himadri, 2023. "A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    14. Chauhan, Anurag & Saini, R.P., 2016. "Discrete harmony search based size optimization of Integrated Renewable Energy System for remote rural areas of Uttarakhand state in India," Renewable Energy, Elsevier, vol. 94(C), pages 587-604.
    15. Thapar, Vinay & Agnihotri, Gayatri & Sethi, Vinod Krishna, 2011. "Critical analysis of methods for mathematical modelling of wind turbines," Renewable Energy, Elsevier, vol. 36(11), pages 3166-3177.
    16. Ji, Chongxing, 2025. "Design, techno-economic feasibility analysis, and sensitivity study of an off-grid hybrid microgrid for developing communities," Renewable Energy, Elsevier, vol. 239(C).
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    2. Yandong Du & Xiaoli Chen & Yao Dong & Xinyue Zhou & Yangwen Wu & Qiang Lu, 2025. "Risk Assessment of Offshore Wind–Solar–Current Energy Coupling Hydrogen Production Project Based on Hybrid Weighting Method and Aggregation Operator," Energies, MDPI, vol. 18(20), pages 1-21, October.

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