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Optimal Design of Rated Wind Speed and Rotor Radius to Minimizing the Cost of Energy for Offshore Wind Turbines

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  • Longfu Luo

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Xiaofeng Zhang

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Dongran Song

    (School of Information Science and Engineering, Central South University, Changsha 410083, China)

  • Weiyi Tang

    (School of Information Science and Engineering, Central South University, Changsha 410083, China)

  • Jian Yang

    (School of Information Science and Engineering, Central South University, Changsha 410083, China)

  • Li Li

    (School of Information Science and Engineering, Central South University, Changsha 410083, China)

  • Xiaoyu Tian

    (School of Information Science and Engineering, Central South University, Changsha 410083, China)

  • Wu Wen

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

Abstract

As onshore wind energy has depleted, the utilization of offshore wind energy has gradually played an important role in globally meeting growing green energy demands. However, the cost of energy (COE) for offshore wind energy is very high compared to the onshore one. To minimize the COE, implementing optimal design of offshore turbines is an effective way, but the relevant studies are lacking. This study proposes a method to minimize the COE of offshore wind turbines, in which two design parameters, including the rated wind speed and rotor radius are optimally designed. Through this study, the relation among the COE and the two design parameters is explored. To this end, based on the power-coefficient power curve model, the annual energy production (AEP) model is designed as a function of the rated wind speed and the Weibull distribution parameters. On the other hand, the detailed cost model of offshore turbines developed by the National Renewable Energy Laboratory is formulated as a function of the rated wind speed and the rotor radius. Then, the COE is formulated as the ratio of the total cost and the AEP. Following that, an iterative method is proposed to search the minimal COE which corresponds to the optimal rated wind speed and rotor radius. Finally, the proposed method has been applied to the wind classes of USA, and some useful findings have been obtained.

Suggested Citation

  • Longfu Luo & Xiaofeng Zhang & Dongran Song & Weiyi Tang & Jian Yang & Li Li & Xiaoyu Tian & Wu Wen, 2018. "Optimal Design of Rated Wind Speed and Rotor Radius to Minimizing the Cost of Energy for Offshore Wind Turbines," Energies, MDPI, vol. 11(10), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2728-:d:175080
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    References listed on IDEAS

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    Cited by:

    1. Song, Dongran & Liu, Junbo & Yang, Jian & Su, Mei & Wang, Yun & Yang, Xuebing & Huang, Lingxiang & Joo, Young Hoon, 2020. "Optimal design of wind turbines on high-altitude sites based on improved Yin-Yang pair optimization," Energy, Elsevier, vol. 193(C).
    2. Song, Dongran & Xu, Shanmin & Huang, Lingxiang & Xia, E. & Huang, Chaoneng & Yang, Jian & Hu, Yang & Fang, Fang, 2022. "Multi-site and multi-objective optimization for wind turbines based on the design of virtual representative wind farm," Energy, Elsevier, vol. 252(C).
    3. Alexandra G. Papadopoulou & George Vasileiou & Alexandros Flamos, 2020. "A Comparison of Dispatchable RES Technoeconomics: Is There a Niche for Concentrated Solar Power?," Energies, MDPI, vol. 13(18), pages 1-22, September.
    4. Yutaka Hara & Ayato Miyashita & Shigeo Yoshida, 2023. "Numerical Simulation of the Effects of Blade–Arm Connection Gap on Vertical–Axis Wind Turbine Performance," Energies, MDPI, vol. 16(19), pages 1-15, October.
    5. Eugen Rusu & Vengatesan Venugopal, 2019. "Special Issue “Offshore Renewable Energy: Ocean Waves, Tides and Offshore Wind”," Energies, MDPI, vol. 12(1), pages 1-4, January.

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