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Wave energy converter optimization based on differential evolution algorithm

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  • He, Zechen
  • Ning, Dezhi
  • Gou, Ying
  • Zhou, Zhimin

Abstract

A parameter optimization method for an oscillating buoy-type wave energy converter (WEC) is presented from the perspective of submerged buoy volume; which affects both the power production and cost investment. The effects of submerged buoy volume on the optimal power capture are studied using the differential evolution algorithm and linear potential flow theory. The cost indictor V/P (V and P representing submerged buoy volume and power capture, respectively) is introduced to measure the cost-effectiveness of the WECs. The power capture and cost performance of the optimized WECs in regular and irregular waves are discussed. The results show that the WEC with the large power take-off (PTO) damping has good adaptability to a range of wave frequencies; however, the optimal submerged buoy volume is not cost-efficient due to the consequent relatively large cost indicators. The best choice of WEC in terms of cost-effectiveness is one designed with a large PTO damping and a buoy of slightly small non-optimal submerged volume.

Suggested Citation

  • He, Zechen & Ning, Dezhi & Gou, Ying & Zhou, Zhimin, 2022. "Wave energy converter optimization based on differential evolution algorithm," Energy, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:energy:v:246:y:2022:i:c:s036054422200336x
    DOI: 10.1016/j.energy.2022.123433
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    References listed on IDEAS

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    Cited by:

    1. Li, Hui & Wang, LiGuo, 2023. "Numerical study on self-power supply of large marine monitoring buoys: Wave-excited vibration energy harvesting and harvester optimization," Energy, Elsevier, vol. 285(C).
    2. Gu, Hanbin & Stansby, Peter & Zhang, Zhaode & Zhu, Gancheng & Lin, Pengzhi & Shi, Huabin, 2023. "Research and concept design of wave energy converter on ocean squid jigging ship," Energy, Elsevier, vol. 285(C).
    3. Gong, Haoxiang & Cao, Feifei & Han, Zhi & Liu, Shangze & Shi, Hongda, 2022. "Study on the wave energy capture spectrum based on wave height take-off," Energy, Elsevier, vol. 250(C).
    4. Liang, Hongjian & Qin, Hao & Su, Haowen & Wen, Zhixuan & Mu, Lin, 2024. "Environmental-Sensing and adaptive optimization of wave energy converter based on deep reinforcement learning and computational fluid dynamics," Energy, Elsevier, vol. 297(C).
    5. Zhou, Yu & Chen, Lifen & Zhao, Jie & Liu, Xiangjian & Ye, Xiaorong & Wang, Fei & Adcock, Thomas A.A. & Ning, Dezhi, 2023. "Power and dynamic performance of a floating multi-functional platform: An experimental study," Energy, Elsevier, vol. 285(C).

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