IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v125y2018icp877-889.html
   My bibliography  Save this article

Numerical and experimental studies of excitation force approximation for wave energy conversion

Author

Listed:
  • Guo, Bingyong
  • Patton, Ron J.
  • Jin, Siya
  • Lan, Jianglin

Abstract

Past or/and future information of the excitation force is useful for real-time power maximisation control of Wave Energy Converter (WEC) systems. Current WEC modelling approaches assume that the wave excitation force is accessible and known. However, it is not directly measurable for oscillating bodies. This study aims to provide accurate approximations of the excitation force for the purpose of enhancing the effectiveness of WEC control. In this work, three approaches are proposed to approximate the excitation force, by (i) identifying the excitation force from wave elevation, (ii) estimating the excitation force from the measurements of pressure, acceleration and displacement, (iii) observing the excitation force via an unknown input observer. These methods are compared with each other to discuss their advantages, drawbacks and application scenarios. To validate and compare the performance of the proposed methods, a 1/50 scale heaving point absorber WEC was tested in a wave tank under variable wave scenarios. The experimental data were in accordance with the excitation force approximations in both the frequency- and time-domains based upon both regular and irregular wave excitation. Although the experimental data were post-processed for model verification, these approaches can be applied for real-time power maximisation control with excitation force prediction.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:125:y:2018:i:c:p:877-889
    DOI: 10.1016/j.renene.2018.03.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118303021
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2018.03.007?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. Halliday, J. Ross & Dorrell, David G. & Wood, Alan R., 2011. "An application of the Fast Fourier Transform to the short-term prediction of sea wave behaviour," Renewable Energy, Elsevier, vol. 36(6), pages 1685-1692.
    2. Giorgio Bacelli & Ryan G. Coe & David Patterson & David Wilson, 2017. "System Identification of a Heaving Point Absorber: Design of Experiment and Device Modeling," Energies, MDPI, vol. 10(4), pages 1-33, April.
    3. Babarit, A. & Hals, J. & Muliawan, M.J. & Kurniawan, A. & Moan, T. & Krokstad, J., 2012. "Numerical benchmarking study of a selection of wave energy converters," Renewable Energy, Elsevier, vol. 41(C), pages 44-63.
    4. Clément, Alain & McCullen, Pat & Falcão, António & Fiorentino, Antonio & Gardner, Fred & Hammarlund, Karin & Lemonis, George & Lewis, Tony & Nielsen, Kim & Petroncini, Simona & Pontes, M. -Teresa & Sc, 2002. "Wave energy in Europe: current status and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(5), pages 405-431, October.
    5. Li, Guang & Belmont, Mike R., 2014. "Model predictive control of sea wave energy converters – Part II: The case of an array of devices," Renewable Energy, Elsevier, vol. 68(C), pages 540-549.
    6. Li, Guang & Belmont, Michael R., 2014. "Model predictive control of sea wave energy converters – Part I: A convex approach for the case of a single device," Renewable Energy, Elsevier, vol. 69(C), pages 453-463.
    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. Harry B. Bingham & Yi-Hsiang Yu & Kim Nielsen & Thanh Toan Tran & Kyong-Hwan Kim & Sewan Park & Keyyong Hong & Hafiz Ahsan Said & Thomas Kelly & John V. Ringwood & Robert W. Read & Edward Ransley & Sc, 2021. "Ocean Energy Systems Wave Energy Modeling Task 10.4: Numerical Modeling of a Fixed Oscillating Water Column," Energies, MDPI, vol. 14(6), pages 1-35, March.
    2. Wang, LiGuo & Lin, MaoFeng & Tedeschi, Elisabetta & Engström, Jens & Isberg, Jan, 2020. "Improving electric power generation of a standalone wave energy converter via optimal electric load control," Energy, Elsevier, vol. 211(C).
    3. Faÿ, François-Xavier & Robles, Eider & Marcos, Marga & Aldaiturriaga, Endika & Camacho, Eduardo F., 2020. "Sea trial results of a predictive algorithm at the Mutriku Wave power plant and controllers assessment based on a detailed plant model," Renewable Energy, Elsevier, vol. 146(C), pages 1725-1745.
    4. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
    5. Anders H. Hansen & Magnus F. Asmussen & Michael M. Bech, 2019. "Hardware-in-the-Loop Validation of Model Predictive Control of a Discrete Fluid Power Power Take-Off System for Wave Energy Converters," Energies, MDPI, vol. 12(19), pages 1-22, September.
    6. Zheng, Siming & Zhang, Yongliang & Iglesias, Gregorio, 2020. "Power capture performance of hybrid wave farms combining different wave energy conversion technologies: The H-factor," Energy, Elsevier, vol. 204(C).
    7. Nguyen, Hoai-Nam & Tona, Paolino, 2020. "An efficiency-aware continuous adaptive proportional-integral velocity-feedback control for wave energy converters," Renewable Energy, Elsevier, vol. 146(C), pages 1596-1608.
    8. 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).
    9. Jin, Siya & Patton, Ron J. & Guo, Bingyong, 2019. "Enhancement of wave energy absorption efficiency via geometry and power take-off damping tuning," Energy, Elsevier, vol. 169(C), pages 819-832.
    10. Elie Al Shami & Ran Zhang & Xu Wang, 2018. "Point Absorber Wave Energy Harvesters: A Review of Recent Developments," Energies, MDPI, vol. 12(1), pages 1-36, December.

    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. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    2. 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.
    3. Zou, Shangyan & Abdelkhalik, Ossama, 2020. "Time-varying linear quadratic Gaussian optimal control for three-degree-of-freedom wave energy converters," Renewable Energy, Elsevier, vol. 149(C), pages 217-225.
    4. Zou, Shangyan & Abdelkhalik, Ossama, 2020. "Collective control in arrays of wave energy converters," Renewable Energy, Elsevier, vol. 156(C), pages 361-369.
    5. Lavidas, George, 2019. "Energy and socio-economic benefits from the development of wave energy in Greece," Renewable Energy, Elsevier, vol. 132(C), pages 1290-1300.
    6. Forbush, Dominic D. & Bacelli, Giorgio & Spencer, Steven J. & Coe, Ryan G. & Bosma, Bret & Lomonaco, Pedro, 2022. "Design and testing of a free floating dual flap wave energy converter," Energy, Elsevier, vol. 240(C).
    7. Coe, Ryan G. & Bacelli, Giorgio & Forbush, Dominic, 2021. "A practical approach to wave energy modeling and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    8. Guanche, R. & de Andrés, A.D. & Simal, P.D. & Vidal, C. & Losada, I.J., 2014. "Uncertainty analysis of wave energy farms financial indicators," Renewable Energy, Elsevier, vol. 68(C), pages 570-580.
    9. Hadadpour, Sanaz & Etemad-Shahidi, Amir & Jabbari, Ebrahim & Kamranzad, Bahareh, 2014. "Wave energy and hot spots in Anzali port," Energy, Elsevier, vol. 74(C), pages 529-536.
    10. Ni, Wenchi & Zhang, Xu & Zhang, Wei & Liang, Shuangling, 2021. "Numerical investigation of adaptive damping control for raft-type wave energy converters," Renewable Energy, Elsevier, vol. 175(C), pages 520-531.
    11. 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).
    12. Li, Xiaofan & Liang, Changwei & Chen, Chien-An & Xiong, Qiuchi & Parker, Robert G. & Zuo, Lei, 2020. "Optimum power analysis of a self-reactive wave energy point absorber with mechanically-driven power take-offs," Energy, Elsevier, vol. 195(C).
    13. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
    14. Morim, Joao & Cartwright, Nick & Hemer, Mark & Etemad-Shahidi, Amir & Strauss, Darrell, 2019. "Inter- and intra-annual variability of potential power production from wave energy converters," Energy, Elsevier, vol. 169(C), pages 1224-1241.
    15. Lavidas, George & Venugopal, Vengatesan, 2017. "A 35 year high-resolution wave atlas for nearshore energy production and economics at the Aegean Sea," Renewable Energy, Elsevier, vol. 103(C), pages 401-417.
    16. Lopes de Almeida, J.P.P.G. & Mujtaba, B. & Oliveira Fernandes, A.M., 2018. "Preliminary laboratorial determination of the REEFS novel wave energy converter power output," Renewable Energy, Elsevier, vol. 122(C), pages 654-664.
    17. Coe, Ryan G. & Ahn, Seongho & Neary, Vincent S. & Kobos, Peter H. & Bacelli, Giorgio, 2021. "Maybe less is more: Considering capacity factor, saturation, variability, and filtering effects of wave energy devices," Applied Energy, Elsevier, vol. 291(C).
    18. Zheng, Siming & Zhang, Yongliang, 2018. "Theoretical modelling of a new hybrid wave energy converter in regular waves," Renewable Energy, Elsevier, vol. 128(PA), pages 125-141.
    19. Pablo Ropero-Giralda & Alejandro J. C. Crespo & Ryan G. Coe & Bonaventura Tagliafierro & José M. Domínguez & Giorgio Bacelli & Moncho Gómez-Gesteira, 2021. "Modelling a Heaving Point-Absorber with a Closed-Loop Control System Using the DualSPHysics Code," Energies, MDPI, vol. 14(3), pages 1-20, February.
    20. Chandrasekaran, Srinivasan & Sricharan, V.V.S., 2020. "Numerical analysis of a new multi-body floating wave energy converter with a linear power take-off system," Renewable Energy, Elsevier, vol. 159(C), pages 250-271.

    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:renene:v:125:y:2018:i:c:p:877-889. 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/renewable-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.