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Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method

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  • Neshat, Mehdi
  • Sergiienko, Nataliia Y.
  • Nezhad, Meysam Majidi
  • da Silva, Leandro S.P.
  • Amini, Erfan
  • Marsooli, Reza
  • Astiaso Garcia, Davide
  • Mirjalili, Seyedali

Abstract

Hybrid offshore renewable energy platforms have been proposed to optimise power production and reduce the levelised cost of energy by integrating or co-locating several renewable technologies. One example is a hybrid wave-wind energy system that combines offshore wind turbines with wave energy converters (WECs) on a single floating foundation. The design of such systems involves multiple parameters and performance measures, making it a complex, multi-modal, and expensive optimisation problem. This paper proposes a novel, robust and effective multi-objective swarm optimisation method (DMOGWA) to provide a design solution that best compromises between maximising WEC power output and minimising the effect on wind turbine nacelle acceleration. The proposed method uses a chaotic adaptive search strategy with a dynamic archive of non-dominated solutions based on diversity to speed up the convergence rate and enhance the Pareto front quality. Furthermore, a modified exploitation technique (Discretisation Strategy) is proposed to handle the large damping and spring coefficient of the Power Take-off (PTO) search space. To evaluate the efficiency of the proposed method, we compare the DMOGWA with four well-known multi-objective swarm intelligence methods (MOPSO, MALO, MODA, and MOGWA) and four popular evolutionary multi-objective algorithms (NSGA-II, MOEA/D, SPEA-II, and PESA-II) based on four potential deployment sites on the South Coast of Australia. The optimisation results demonstrate the dominance of the DMOGWA compared with the other eight methods in terms of convergence speed and quality of solutions proposed. Furthermore, adjusting the hybrid wave-wind model’s parameters (WEC design and PTO parameters) using the proposed method (DMOGWA) leads to a considerably improved power output (average proximate boost of 138.5%) and a notable decline in wind turbine nacelle acceleration (41%) throughout the entire operational spectrum compared with the other methods. This improvement could lead to millions of dollars in additional income per year over the lifespan of hybrid offshore renewable energy platforms.

Suggested Citation

  • Neshat, Mehdi & Sergiienko, Nataliia Y. & Nezhad, Meysam Majidi & da Silva, Leandro S.P. & Amini, Erfan & Marsooli, Reza & Astiaso Garcia, Davide & Mirjalili, Seyedali, 2024. "Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method," Applied Energy, Elsevier, vol. 362(C).
    • Handle: RePEc:eee:appene:v:362:y:2024:i:c:s0306261924003386
    DOI: 10.1016/j.apenergy.2024.122955
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    as
    1. Pfeifer, Antun & Feijoo, Felipe & Duić, Neven, 2023. "Fast energy transition as a best strategy for all? The nash equilibrium of long-term energy planning strategies in coupled power markets," Energy, Elsevier, vol. 284(C).
    2. Chen, Jie & Huang, Shoujun & Shahabi, Laleh, 2021. "Economic and environmental operation of power systems including combined cooling, heating, power and energy storage resources using developed multi-objective grey wolf algorithm," Applied Energy, Elsevier, vol. 298(C).
    3. Kluger, Jocelyn M. & Haji, Maha N. & Slocum, Alexander H., 2023. "The power balancing benefits of wave energy converters in offshore wind-wave farms with energy storage," Applied Energy, Elsevier, vol. 331(C).
    4. Qian, Jing & Sun, Xiangyu & Zhong, Xiaohui & Zeng, Jiajun & Xu, Fei & Zhou, Teng & Shi, Kezhong & Li, Qingan, 2024. "Multi-objective optimization design of the wind-to-heat system blades based on the Particle Swarm Optimization algorithm," Applied Energy, Elsevier, vol. 355(C).
    5. Neshat, Mehdi & Nezhad, Meysam Majidi & Sergiienko, Nataliia Y. & Mirjalili, Seyedali & Piras, Giuseppe & Garcia, Davide Astiaso, 2022. "Wave power forecasting using an effective decomposition-based convolutional Bi-directional model with equilibrium Nelder-Mead optimiser," Energy, Elsevier, vol. 256(C).
    6. Zhang, Zhihao & Yang, Haoran & Zhao, Yongsheng & Han, Zhaolong & Zhou, Dai & Zhang, Jianhua & Tu, Jiahuang & Chen, Mingsheng, 2024. "A novel wake control strategy for a twin-rotor floating wind turbine: Mitigating wake effect," Energy, Elsevier, vol. 287(C).
    7. Prina, Matteo Giacomo & Groppi, Daniele & Nastasi, Benedetto & Garcia, Davide Astiaso, 2021. "Bottom-up energy system models applied to sustainable islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    8. Philip Adams, 2021. "Zero Greenhouse Gas Emissions by 2050: What it means for the Australian Economy, Industries and Regions," Centre of Policy Studies/IMPACT Centre Working Papers g-324, Victoria University, Centre of Policy Studies/IMPACT Centre.
    9. de Faria, Victor A.D. & de Queiroz, Anderson R. & DeCarolis, Joseph F., 2022. "Optimizing offshore renewable portfolios under resource variability," Applied Energy, Elsevier, vol. 326(C).
    10. Zou, Dexuan & Gong, Dunwei & Ouyang, Haibin, 2023. "A non-dominated sorting genetic approach using elite crossover for the combined cooling, heating, and power system with three energy storages," Applied Energy, Elsevier, vol. 329(C).
    11. Astariz, S. & Iglesias, G., 2016. "Co-located wind and wave energy farms: Uniformly distributed arrays," Energy, Elsevier, vol. 113(C), pages 497-508.
    12. Liu, Changhai & Hu, Min & Gao, Wenzhi & Chen, Jian & Zeng, Yishan & Wei, Daozhu & Yang, Qingjun & Bao, Gang, 2021. "A high-precise model for the hydraulic power take-off of a raft-type wave energy converter," Energy, Elsevier, vol. 215(PA).
    13. Amini, Erfan & Mehdipour, Hossein & Faraggiana, Emilio & Golbaz, Danial & Mozaffari, Sevda & Bracco, Giovanni & Neshat, Mehdi, 2022. "Optimization of hydraulic power take-off system settings for point absorber wave energy converter," Renewable Energy, Elsevier, vol. 194(C), pages 938-954.
    14. Cheng, Fangwei & Luo, Hongxi & Jenkins, Jesse D. & Larson, Eric D., 2023. "The value of low- and negative-carbon fuels in the transition to net-zero emission economies: Lifecycle greenhouse gas emissions and cost assessments across multiple fuel types," Applied Energy, Elsevier, vol. 331(C).
    15. Fadaee, M. & Radzi, M.A.M., 2012. "Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3364-3369.
    16. Xianxiong Zhang & Bin Li & Zhenwei Hu & Jiang Deng & Panpan Xiao & Mingsheng Chen, 2022. "Research on Size Optimization of Wave Energy Converters Based on a Floating Wind-Wave Combined Power Generation Platform," Energies, MDPI, vol. 15(22), pages 1-16, November.
    17. Hu, Jianjian & Zhou, Binzhen & Vogel, Christopher & Liu, Pin & Willden, Richard & Sun, Ke & Zang, Jun & Geng, Jing & Jin, Peng & Cui, Lin & Jiang, Bo & Collu, Maurizio, 2020. "Optimal design and performance analysis of a hybrid system combing a floating wind platform and wave energy converters," Applied Energy, Elsevier, vol. 269(C).
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    2. Amar Maafa & Hacene Mellah & Karim Benaouicha & Badreddine Babes & Abdelghani Yahiou & Hamza Sahraoui, 2024. "Fuzzy Logic-Based Smart Control of Wind Energy Conversion System Using Cascaded Doubly Fed Induction Generator," Sustainability, MDPI, vol. 16(21), pages 1-21, October.

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