IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v146y2020icp2499-2516.html
   My bibliography  Save this article

Validation of a CFD-based numerical wave tank model for the power production assessment of the wavestar ocean wave energy converter

Author

Listed:
  • Windt, Christian
  • Davidson, Josh
  • Ransley, Edward J.
  • Greaves, Deborah
  • Jakobsen, Morten
  • Kramer, Morten
  • Ringwood, John V.

Abstract

CFD-based numerical wave tank (CNWT) models, are a useful tool for the analysis of wave energy converters (WECs). During the development of a CNWT, model validation is vital, to prove the accuracy of the numerical solution. This paper presents an extensive validation study of a CNWT model for the 1:5 scale Wavestar point-absorber device. The previous studies reported by Ransley et al. [1] and Windt et al. [2] are extended in this paper, by including cases in which the power-take off (PTO) system is included in the model. In this study, the PTO is represented as a linear spring-damper system, providing a good approximation to the full PTO dynamics. The spring stiffness and damping coefficients in the numerical PTO model are determined through a linear least squares fit of the experimental PTO position, velocity and force data. The numerical results for free surface elevation, PTO data (position, velocity, force), generated power and pressure on the WEC hull are shown to compare well with the experimental measurements.

Suggested Citation

  • Windt, Christian & Davidson, Josh & Ransley, Edward J. & Greaves, Deborah & Jakobsen, Morten & Kramer, Morten & Ringwood, John V., 2020. "Validation of a CFD-based numerical wave tank model for the power production assessment of the wavestar ocean wave energy converter," Renewable Energy, Elsevier, vol. 146(C), pages 2499-2516.
    • Handle: RePEc:eee:renene:v:146:y:2020:i:c:p:2499-2516
    DOI: 10.1016/j.renene.2019.08.059
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119312467
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.08.059?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. Elhanafi, Ahmed & Macfarlane, Gregor & Fleming, Alan & Leong, Zhi, 2017. "Scaling and air compressibility effects on a three-dimensional offshore stationary OWC wave energy converter," Applied Energy, Elsevier, vol. 189(C), pages 1-20.
    2. Windt, Christian & Davidson, Josh & Ringwood, John V., 2018. "High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 610-630.
    3. Ransley, E.J. & Greaves, D.M. & Raby, A. & Simmonds, D. & Jakobsen, M.M. & Kramer, M., 2017. "RANS-VOF modelling of the Wavestar point absorber," Renewable Energy, Elsevier, vol. 109(C), pages 49-65.
    4. Penalba, Markel & Davidson, Josh & Windt, Christian & Ringwood, John V., 2018. "A high-fidelity wave-to-wire simulation platform for wave energy converters: Coupled numerical wave tank and power take-off models," Applied Energy, Elsevier, vol. 226(C), pages 655-669.
    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. Farajvand, Mahdiyeh & Grazioso, Valerio & García-Violini, Demián & Ringwood, John V., 2023. "Uncertainty estimation in wave energy systems with applications in robust energy maximising control," Renewable Energy, Elsevier, vol. 203(C), pages 194-204.
    2. Eirini Katsidoniotaki & Foivos Psarommatis & Malin Göteman, 2022. "Digital Twin for the Prediction of Extreme Loads on a Wave Energy Conversion System," Energies, MDPI, vol. 15(15), pages 1-24, July.
    3. Mohd Afifi Jusoh & Mohd Zamri Ibrahim & Muhamad Zalani Daud & Zulkifli Mohd Yusop & Aliashim Albani, 2020. "An Estimation of Hydraulic Power Take-off Unit Parameters for Wave Energy Converter Device Using Non-Evolutionary NLPQL and Evolutionary GA Approaches," Energies, MDPI, vol. 14(1), pages 1-26, December.
    4. Oliveira, D. & Lopes de Almeida, J.P.P.G. & Santiago, A. & Rigueiro, C., 2022. "Development of a CFD-based numerical wave tank of a novel multipurpose wave energy converter," Renewable Energy, Elsevier, vol. 199(C), pages 226-245.
    5. Sun, Pengyuan & Liu, Senming & He, Hongzhou & Zhao, Yingru & Zheng, Songgen & Chen, Hu & Yang, Shaohui, 2021. "Simulated and experimental investigation of a floating-array-buoys wave energy converter with single-point mooring," Renewable Energy, Elsevier, vol. 176(C), pages 637-650.
    6. Jin, Peng & Zheng, Zhi & Zhou, Zhaomin & Zhou, Binzhen & Wang, Lei & Yang, Yang & Liu, Yingyi, 2023. "Optimization and evaluation of a semi-submersible wind turbine and oscillating body wave energy converters hybrid system," Energy, Elsevier, vol. 282(C).
    7. Zhang, Jincheng & Zhao, Xiaowei & Greaves, Deborah & Jin, Siya, 2023. "Modeling of a hinged-raft wave energy converter via deep operator learning and wave tank experiments," Applied Energy, Elsevier, vol. 341(C).
    8. Masoomi, Mobin & Sarlak, Hamid & Rezanejad, Kourosh, 2023. "Hydrodynamic performance analysis of a new hybrid wave energy converter system using OpenFOAM," Energy, Elsevier, vol. 269(C).

    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. Zhong, Qian & Yeung, Ronald W., 2019. "Wave-body interactions among energy absorbers in a wave farm," Applied Energy, Elsevier, vol. 233, pages 1051-1064.
    2. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
    3. Zhang, Jincheng & Zhao, Xiaowei & Greaves, Deborah & Jin, Siya, 2023. "Modeling of a hinged-raft wave energy converter via deep operator learning and wave tank experiments," Applied Energy, Elsevier, vol. 341(C).
    4. Mohd Afifi Jusoh & Mohd Zamri Ibrahim & Muhamad Zalani Daud & Zulkifli Mohd Yusop & Aliashim Albani, 2020. "An Estimation of Hydraulic Power Take-off Unit Parameters for Wave Energy Converter Device Using Non-Evolutionary NLPQL and Evolutionary GA Approaches," Energies, MDPI, vol. 14(1), pages 1-26, December.
    5. Giorgi, Giuseppe & Gomes, Rui P.F. & Henriques, João C.C. & Gato, Luís M.C. & Bracco, Giovanni & Mattiazzo, Giuliana, 2020. "Detecting parametric resonance in a floating oscillating water column device for wave energy conversion: Numerical simulations and validation with physical model tests," Applied Energy, Elsevier, vol. 276(C).
    6. Liu, Zhen & Xu, Chuanli & Kim, Kilwon & Choi, Jongsu & Hyun, Beom-soo, 2021. "An integrated numerical model for the chamber-turbine system of an oscillating water column wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    7. Tagliafierro, Bonaventura & Martínez-Estévez, Iván & Domínguez, José M. & Crespo, Alejandro J.C. & Göteman, Malin & Engström, Jens & Gómez-Gesteira, Moncho, 2022. "A numerical study of a taut-moored point-absorber wave energy converter with a linear power take-off system under extreme wave conditions," Applied Energy, Elsevier, vol. 311(C).
    8. Zabala, I. & Henriques, J.C.C. & Blanco, J.M. & Gomez, A. & Gato, L.M.C. & Bidaguren, I. & Falcão, A.F.O. & Amezaga, A. & Gomes, R.P.F., 2019. "Wave-induced real-fluid effects in marine energy converters: Review and application to OWC devices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 535-549.
    9. Windt, Christian & Davidson, Josh & Ringwood, John V., 2018. "High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 610-630.
    10. Guo, Peng & Zhang, Yongliang & Chen, Wenchuang, 2023. "Numerical analysis on a self-rectifying impulse turbine with U-shaped duct for oscillating water column wave energy conversion," Energy, Elsevier, vol. 274(C).
    11. Oliveira, D. & Lopes de Almeida, J.P.P.G. & Santiago, A. & Rigueiro, C., 2022. "Development of a CFD-based numerical wave tank of a novel multipurpose wave energy converter," Renewable Energy, Elsevier, vol. 199(C), pages 226-245.
    12. Santo, H. & Taylor, P.H. & Stansby, P.K., 2020. "The performance of the three-float M4 wave energy converter off Albany, on the south coast of western Australia, compared to Orkney (EMEC) in the U.K," Renewable Energy, Elsevier, vol. 146(C), pages 444-459.
    13. Elhanafi, Ahmed & Macfarlane, Gregor & Fleming, Alan & Leong, Zhi, 2017. "Experimental and numerical investigations on the hydrodynamic performance of a floating–moored oscillating water column wave energy converter," Applied Energy, Elsevier, vol. 205(C), pages 369-390.
    14. 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).
    15. Zhou, Yu & Ning, Dezhi & Liang, Dongfang & Cai, Shuqun, 2021. "Nonlinear hydrodynamic analysis of an offshore oscillating water column wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    16. Rosa-Santos, Paulo & Taveira-Pinto, Francisco & Rodríguez, Claudio A. & Ramos, Victor & López, Mario, 2019. "The CECO wave energy converter: Recent developments," Renewable Energy, Elsevier, vol. 139(C), pages 368-384.
    17. Simonetti, I. & Cappietti, L. & Elsafti, H. & Oumeraci, H., 2018. "Evaluation of air compressibility effects on the performance of fixed OWC wave energy converters using CFD modelling," Renewable Energy, Elsevier, vol. 119(C), pages 741-753.
    18. Dai, Saishuai & Day, Sandy & Yuan, Zhiming & Wang, Haibin, 2019. "Investigation on the hydrodynamic scaling effect of an OWC type wave energy device using experiment and CFD simulation," Renewable Energy, Elsevier, vol. 142(C), pages 184-194.
    19. Simonetti, I. & Cappietti, L. & Elsafti, H. & Oumeraci, H., 2017. "Optimization of the geometry and the turbine induced damping for fixed detached and asymmetric OWC devices: A numerical study," Energy, Elsevier, vol. 139(C), pages 1197-1209.
    20. Yulong Liu & Xiaodong Zhang & Shuangxia Niu & Weinong Fu & Xinhua Guo, 2020. "Design and Analysis of a Linear Memory Machine for Ocean Wave Power Generation," Energies, MDPI, vol. 13(19), pages 1-12, October.

    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:146:y:2020:i:c:p:2499-2516. 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.