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Simulation of a novel wind–wave hybrid power generation system with hydraulic transmission

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  • Wang, Bohan
  • Deng, Ziwei
  • Zhang, Baocheng

Abstract

The mutual compensation of offshore wind energy and wave energy provides a cost-effective solution to offshore power supply. Herein, a novel wind–wave hybrid power generation system with hydraulic transmission is proposed, which consists of a wave energy harvesting part, a wind energy harvesting part, an energy coupling part, and a control part. This system removes the conventional electric regulation components and significantly reduces the negative interaction between the two energy harvesting parts. First, the working principles of the hybrid system, individual wind power generation system, and individual wave power generation system are introduced, and relevant numerical models are established. Next, simulation models of the three systems are established via AMESim and MATLAB/Simulink. Finally, the output power, generator speed, system pressures, and internal flow rates of the hybrid system are compared with those of two individual power generation systems to evaluate the complementary energy performance. Relative to the individual wave power generation system and individual wind power generation system, the hybrid system exhibits enhanced stability of the output power (by 69.42% and 21.03%, respectively) and enhanced stability of the generator speed (by 63.78% and 39.32%, respectively). Furthermore, the hybrid system exhibits a high energy coupling efficiency between 80.34% and 99.12%.

Suggested Citation

  • Wang, Bohan & Deng, Ziwei & Zhang, Baocheng, 2022. "Simulation of a novel wind–wave hybrid power generation system with hydraulic transmission," Energy, Elsevier, vol. 238(PB).
    • Handle: RePEc:eee:energy:v:238:y:2022:i:pb:s0360544221020818
    DOI: 10.1016/j.energy.2021.121833
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    1. Asim Kumar Sarker & Abul Kalam Azad & Mohammad G. Rasul & Arun Teja Doppalapudi, 2023. "Prospect of Green Hydrogen Generation from Hybrid Renewable Energy Sources: A Review," Energies, MDPI, vol. 16(3), pages 1-17, February.
    2. Mahsa Dehghan Manshadi & Milad Mousavi & M. Soltani & Amir Mosavi & Levente Kovacs, 2022. "Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System," Energies, MDPI, vol. 15(24), pages 1-16, December.
    3. Zhou, Binzhen & Hu, Jianjian & Jin, Peng & Sun, Ke & Li, Ye & Ning, Dezhi, 2023. "Power performance and motion response of a floating wind platform and multiple heaving wave energy converters hybrid system," Energy, Elsevier, vol. 265(C).

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