IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v81y2015icp551-565.html
   My bibliography  Save this article

Performance analysis and optimization of a box-hull wave energy converter concept

Author

Listed:
  • Bódai, Tamás
  • Srinil, Narakorn

Abstract

In this paper we consider a wave energy converter concept which is created by linking a box barge to the mechanical reference by linear dampers. The response to incident wave action in terms of power take-off is expressed explicitly as the solution of a linear frequency-domain model. The simplicity of the model combined with the possibility of the application of theory allows for a nested, and so manageable, procedure of optimization. We find that for any geometry, i.e., a combination of e.g. the breadth-to-length and breadth-to-draught aspect ratios of the box, the optimum is characterized by resonance at least in one of the two degrees of freedom, heave or pitch. Furthermore, optimal geometries turn out to be extremal: either long attenuator-type or wide terminator-type devices perform the best. We find also that optimal wavelengths, which are comparable to the device length in case of attenuators, emerge either due to the progressively increasing buoyancy restoring force characteristic, or due to the finite bandwidth of irregular waves. In particular, diffraction forces are more significant under optimal conditions for performance in irregular seas in comparison with conditions necessary for the most intensive displacement response of the free-floating box barge exposed to regular waves.

Suggested Citation

  • Bódai, Tamás & Srinil, Narakorn, 2015. "Performance analysis and optimization of a box-hull wave energy converter concept," Renewable Energy, Elsevier, vol. 81(C), pages 551-565.
    • Handle: RePEc:eee:renene:v:81:y:2015:i:c:p:551-565
    DOI: 10.1016/j.renene.2015.03.040
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115002220
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2015.03.040?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. Hong, Yue & Waters, Rafael & Boström, Cecilia & Eriksson, Mikael & Engström, Jens & Leijon, Mats, 2014. "Review on electrical control strategies for wave energy converting systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 329-342.
    2. Zanuttigh, Barbara & Angelelli, Elisa & Kofoed, Jens Peter, 2013. "Effects of mooring systems on the performance of a wave activated body energy converter," Renewable Energy, Elsevier, vol. 57(C), pages 422-431.
    3. Kara, Fuat, 2010. "Time domain prediction of power absorption from ocean waves with latching control," Renewable Energy, Elsevier, vol. 35(2), pages 423-434.
    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. Liu, Yao & Chen, Weimin & Zhang, Xinshu & Dong, Guoxiang & Jiang, Jinhui, 2023. "Wave energy conversion using heaving oscillator inside ship: Conceptual design, mathematical model and parametric study," Renewable Energy, Elsevier, vol. 219(P2).
    2. Dong, Feng & Pan, Shangzhi & Gong, Jinwu & Cai, Yuanqi, 2023. "Maximum power point tracking control strategy based on frequency and amplitude control for the wave energy conversion system," Renewable Energy, Elsevier, vol. 215(C).
    3. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
    4. Xuanlie Zhao & Dezhi Ning & Chongwei Zhang & Haigui Kang, 2017. "Hydrodynamic Investigation of an Oscillating Buoy Wave Energy Converter Integrated into a Pile-Restrained Floating Breakwater," Energies, MDPI, vol. 10(5), pages 1-16, May.

    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. Brenda Rojas-Delgado & Monica Alonso & Hortensia Amaris & Juan de Santiago, 2019. "Wave Power Output Smoothing through the Use of a High-Speed Kinetic Buffer," Energies, MDPI, vol. 12(11), pages 1-28, June.
    2. Burgaç, Alper & Yavuz, Hakan, 2019. "Fuzzy Logic based hybrid type control implementation of a heaving wave energy converter," Energy, Elsevier, vol. 170(C), pages 1202-1214.
    3. Seyed Abolfazl Mortazavizadeh & Reza Yazdanpanah & David Campos Gaona & Olimpo Anaya-Lara, 2023. "Fault Diagnosis and Condition Monitoring in Wave Energy Converters: A Review," Energies, MDPI, vol. 16(19), pages 1-16, September.
    4. Tunde Aderinto & Hua Li, 2019. "Review on Power Performance and Efficiency of Wave Energy Converters," Energies, MDPI, vol. 12(22), pages 1-24, November.
    5. Tatiana Potapenko & Joseph Burchell & Sandra Eriksson & Irina Temiz, 2021. "Wave Energy Converter’s Slack and Stiff Connection: Study of Absorbed Power in Irregular Waves," Energies, MDPI, vol. 14(23), pages 1-21, November.
    6. Kara, Fuat, 2016. "Time domain prediction of power absorption from ocean waves with wave energy converter arrays," Renewable Energy, Elsevier, vol. 92(C), pages 30-46.
    7. Ma, Qian & Huang, Xiang & Wang, Feng & Xu, Chao & Babaei, Reza & Ahmadian, Hossein, 2022. "Optimal sizing and feasibility analysis of grid-isolated renewable hybrid microgrids: Effects of energy management controllers," Energy, Elsevier, vol. 240(C).
    8. Cornejo-Bueno, L. & Nieto-Borge, J.C. & García-Díaz, P. & Rodríguez, G. & Salcedo-Sanz, S., 2016. "Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm – Extreme Learning Machine approach," Renewable Energy, Elsevier, vol. 97(C), pages 380-389.
    9. Yadong Wen & Weijun Wang & Hua Liu & Longbo Mao & Hongju Mi & Wenqiang Wang & Guoping Zhang, 2018. "A Shape Optimization Method of a Specified Point Absorber Wave Energy Converter for the South China Sea," Energies, MDPI, vol. 11(10), pages 1-22, October.
    10. 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.
    11. Carballo, R. & Sánchez, M. & Ramos, V. & Fraguela, J.A. & Iglesias, G., 2015. "The intra-annual variability in the performance of wave energy converters: A comparative study in N Galicia (Spain)," Energy, Elsevier, vol. 82(C), pages 138-146.
    12. 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.
    13. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    14. Mahmoodi, Kumars & Nepomuceno, Erivelton & Razminia, Abolhassan, 2022. "Wave excitation force forecasting using neural networks," Energy, Elsevier, vol. 247(C).
    15. Uihlein, Andreas & Magagna, Davide, 2016. "Wave and tidal current energy – A review of the current state of research beyond technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1070-1081.
    16. Anthony Roy & François Auger & Florian Dupriez-Robin & Salvy Bourguet & Quoc Tuan Tran, 2018. "Electrical Power Supply of Remote Maritime Areas: A Review of Hybrid Systems Based on Marine Renewable Energies," Energies, MDPI, vol. 11(7), pages 1-27, July.
    17. Xu, Sheng & Wang, Shan & Guedes Soares, C., 2019. "Review of mooring design for floating wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 595-621.
    18. 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).
    19. Mohd Afifi Jusoh & Mohd Zamri Ibrahim & Muhamad Zalani Daud & Aliashim Albani & Zulkifli Mohd Yusop, 2019. "Hydraulic Power Take-Off Concepts for Wave Energy Conversion System: A Review," Energies, MDPI, vol. 12(23), pages 1-23, November.
    20. Babarit, A., 2015. "A database of capture width ratio of wave energy converters," Renewable Energy, Elsevier, vol. 80(C), pages 610-628.

    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:81:y:2015:i:c:p:551-565. 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.