IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v264y2023ics0360544222030195.html
   My bibliography  Save this article

Research on wave excitation estimators for arrays of wave energy converters

Author

Listed:
  • Zhang, Zhenquan
  • Qin, Jian
  • Wang, Dengshuai
  • Wang, Wei
  • Liu, Yanjun
  • Xue, Gang

Abstract

Advanced control strategies are necessary to maximize the energy harvest of Wave Energy Converter (WEC), and most of them require the knowledge of wave excitation force to determine the control input. However, the excitation force is a non-measurable quantity. The WECs deployed in arrays can achieve high economic value with important practical significance, but it also makes excitation estimation more complicated due to hydrodynamic interactions among devices. Estimation of wave excitation force based on the knowledge of all array devices is an effective approach to improve estimation accuracy with high computing requirements. In this paper, the novel local estimators for WEC array based on different communication graphs are presented, and their advantages are emphasized compared with independent estimators and global estimators. These estimators are applied to different array layouts, and additional sensitivity analyses are performed to evaluate the performance for various separation distances, wave directions, and measurement noises. This study shows that local estimators have higher estimation accuracy than independent estimators, improving up to 216.3% computational efficiency of global estimators. Proposed local estimators can provide an available method to trade off estimation accuracy and computational efficiency, which is of great significance for the estimator design of WEC array.

Suggested Citation

  • Zhang, Zhenquan & Qin, Jian & Wang, Dengshuai & Wang, Wei & Liu, Yanjun & Xue, Gang, 2023. "Research on wave excitation estimators for arrays of wave energy converters," Energy, Elsevier, vol. 264(C).
  • Handle: RePEc:eee:energy:v:264:y:2023:i:c:s0360544222030195
    DOI: 10.1016/j.energy.2022.126133
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222030195
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.126133?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ulazia, Alain & Esnaola, Ganix & Serras, Paula & Penalba, Markel, 2020. "On the impact of long-term wave trends on the geometry optimisation of oscillating water column wave energy converters," Energy, Elsevier, vol. 206(C).
    2. Mahmoodi, Kumars & Ghassemi, Hassan & Razminia, Abolhassan, 2019. "Temporal and spatial characteristics of wave energy in the Persian Gulf based on the ERA5 reanalysis dataset," Energy, Elsevier, vol. 187(C).
    3. Sheng, Wanan & Alcorn, Raymond & Lewis, Anthony, 2015. "On improving wave energy conversion, part I: Optimal and control technologies," Renewable Energy, Elsevier, vol. 75(C), pages 922-934.
    4. Mahmoodi, Kumars & Nepomuceno, Erivelton & Razminia, Abolhassan, 2022. "Wave excitation force forecasting using neural networks," Energy, Elsevier, vol. 247(C).
    5. Sheng, Wanan & Alcorn, Raymond & Lewis, Anthony, 2015. "On improving wave energy conversion, part II: Development of latching control technologies," Renewable Energy, Elsevier, vol. 75(C), pages 935-944.
    6. Ma, Yu & Sclavounos, Paul D. & Cross-Whiter, John & Arora, Dhiraj, 2018. "Wave forecast and its application to the optimal control of offshore floating wind turbine for load mitigation," Renewable Energy, Elsevier, vol. 128(PA), pages 163-176.
    7. Ali, Mumtaz & Prasad, Ramendra, 2019. "Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 281-295.
    8. Lehmann, Marcus & Karimpour, Farid & Goudey, Clifford A. & Jacobson, Paul T. & Alam, Mohammad-Reza, 2017. "Ocean wave energy in the United States: Current status and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1300-1313.
    9. Guo, Bingyong & Patton, Ron J. & Jin, Siya & Lan, Jianglin, 2018. "Numerical and experimental studies of excitation force approximation for wave energy conversion," Renewable Energy, Elsevier, vol. 125(C), pages 877-889.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dengshuai Wang & Zhenquan Zhang & Yunpeng Hai & Yanjun Liu & Gang Xue, 2023. "Design and Control of Hydraulic Power Take-Off System for an Array of Point Absorber Wave Energy Converters," Sustainability, MDPI, vol. 15(22), pages 1-25, November.
    2. Yuchen Zhang & Zhenquan Zhang & Jun Wang & Jian Qin & Shuting Huang & Gang Xue & Yanjun Liu, 2024. "Research on Excitation Estimation for Ocean Wave Energy Generators Based on Extended Kalman Filtering," Energies, MDPI, vol. 17(3), pages 1-17, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniel Clemente & Felipe Teixeira-Duarte & Paulo Rosa-Santos & Francisco Taveira-Pinto, 2023. "Advancements on Optimization Algorithms Applied to Wave Energy Assessment: An Overview on Wave Climate and Energy Resource," Energies, MDPI, vol. 16(12), pages 1-28, June.
    2. Henriques, J.C.C. & Gato, L.M.C. & Falcão, A.F.O. & Robles, E. & Faÿ, F.-X., 2016. "Latching control of a floating oscillating-water-column wave energy converter," Renewable Energy, Elsevier, vol. 90(C), pages 229-241.
    3. Jahangir, Mohammad Hossein & Hosseini, Seyed Sina & Mehrpooya, Mehdi, 2018. "A detailed theoretical modeling and parametric investigation of potential power in heaving buoys," Energy, Elsevier, vol. 154(C), pages 201-209.
    4. Ozkop, Emre & Altas, Ismail H., 2017. "Control, power and electrical components in wave energy conversion systems: A review of the technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 106-115.
    5. Soudan, Bassel, 2019. "Community-scale baseload generation from marine energy," Energy, Elsevier, vol. 189(C).
    6. Younesian, Davood & Alam, Mohammad-Reza, 2017. "Multi-stable mechanisms for high-efficiency and broadband ocean wave energy harvesting," Applied Energy, Elsevier, vol. 197(C), pages 292-302.
    7. Yang, Shaobo & Deng, Zegui & Li, Xingfei & Zheng, Chongwei & Xi, Lintong & Zhuang, Jucheng & Zhang, Zhenquan & Zhang, Zhiyou, 2021. "A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast," Renewable Energy, Elsevier, vol. 173(C), pages 531-543.
    8. Li, Wenlong & Chau, K.T. & Lee, Christopher H.T. & Ching, T.W. & Chen, Mu & Jiang, J.Z., 2017. "A new linear magnetic gear with adjustable gear ratios and its application for direct-drive wave energy extraction," Renewable Energy, Elsevier, vol. 105(C), pages 199-208.
    9. Liguo Wang & Jan Isberg, 2015. "Nonlinear Passive Control of a Wave Energy Converter Subject to Constraints in Irregular Waves," Energies, MDPI, vol. 8(7), pages 1-15, June.
    10. Haraguchi, Ruriko & Asai, Takehiko, 2020. "Enhanced power absorption of a point absorber wave energy converter using a tuned inertial mass," Energy, Elsevier, vol. 202(C).
    11. Tri, Nguyen Minh & Truong, Dinh Quang & Thinh, Do Hoang & Binh, Phan Cong & Dung, Dang Tri & Lee, Seyoung & Park, Hyung Gyu & Ahn, Kyoung Kwan, 2016. "A novel control method to maximize the energy-harvesting capability of an adjustable slope angle wave energy converter," Renewable Energy, Elsevier, vol. 97(C), pages 518-531.
    12. Sun, Peidong & Xu, Bin & Wang, Jichao, 2022. "Long-term trend analysis and wave energy assessment based on ERA5 wave reanalysis along the Chinese coastline," Applied Energy, Elsevier, vol. 324(C).
    13. Mahmoodi, Kumars & Nepomuceno, Erivelton & Razminia, Abolhassan, 2022. "Wave excitation force forecasting using neural networks," Energy, Elsevier, vol. 247(C).
    14. Faÿ, François-Xavier & Henriques, João C. & Kelly, James & Mueller, Markus & Abusara, Moahammad & Sheng, Wanan & Marcos, Marga, 2020. "Comparative assessment of control strategies for the biradial turbine in the Mutriku OWC plant," Renewable Energy, Elsevier, vol. 146(C), pages 2766-2784.
    15. Zhang, Xiantao & Tian, Xinliang & Xiao, Longfei & Li, Xin & Chen, Lifen, 2018. "Application of an adaptive bistable power capture mechanism to a point absorber wave energy converter," Applied Energy, Elsevier, vol. 228(C), pages 450-467.
    16. Li, L. & Gao, Y. & Ning, D.Z. & Yuan, Z.M., 2021. "Development of a constraint non-causal wave energy control algorithm based on artificial intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    17. Temiz, Irina & Leijon, Jennifer & Ekergård, Boel & Boström, Cecilia, 2018. "Economic aspects of latching control for a wave energy converter with a direct drive linear generator power take-off," Renewable Energy, Elsevier, vol. 128(PA), pages 57-67.
    18. Haeng Sik Ko & Sangho Kim & Yoon Hyeok Bae, 2021. "Study on Optimum Power Take-Off Torque of an Asymmetric Wave Energy Converter in Western Sea of Jeju Island," Energies, MDPI, vol. 14(5), pages 1-12, March.
    19. Sheng, Wanan, 2019. "Wave energy conversion and hydrodynamics modelling technologies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 482-498.
    20. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:264:y:2023:i:c:s0360544222030195. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.