IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v218y2023ics0960148123011576.html
   My bibliography  Save this article

On the influence of mooring systems in optimal predictive control for wave energy converters

Author

Listed:
  • Papini, Guglielmo
  • Paduano, Bruno
  • Pasta, Edoardo
  • Carapellese, Fabio
  • Mattiazzo, Giuliana
  • Faedo, Nicolás

Abstract

Wave energy conversion systems have a massive potential in securing a reliable renewable energy mix. In their development, a crucial role is that of optimal control (OC) algorithms. Such systems are able to maximize the wave energy converter (WEC) power extraction, while respecting the corresponding of technological constraints. State-of-the-art OC techniques, such as Model Predictive Control (MPC), rely on mathematical models of the device to control, in a predictive fashion, the WEC system, thus maximizing the power production. Nonetheless, to date, control algorithms are usually developed and assessed on the basis of free floating WEC models, i.e. which neglect the mooring system influence. As a matter of fact, the anchorage introduces nonlinear dynamics in the device motion. Consequently, to test the idealized potential of a control strategy, such system is commonly neglected. Moorings are a fundamental WEC component, and have the potential to influence significantly the associated system dynamics. Neglecting this element can lead to deceptive results, either in terms of device theoretical productivity, and control strategy effectiveness. This paper proposes a systematic procedure to include, in the model used to synthesized such OC strategies, a linear representative model of the mooring system, presenting its benefits by discussing the consequent MPC loop development and corresponding performance assessment. Such procedure consists in retrieving an estimate of the frequency response of the moored system, using properly designed input conditions, and identifying the associated input–output linear system. A main objective of this study is, hence, to assess the difference between an MPC strategy designed and synthesized, with and without the proposed mooring control-oriented representation, always using as simulation system a high-fidelity numerical model for performance evaluation, which incorporates a full account of the mooring effects.

Suggested Citation

  • Papini, Guglielmo & Paduano, Bruno & Pasta, Edoardo & Carapellese, Fabio & Mattiazzo, Giuliana & Faedo, Nicolás, 2023. "On the influence of mooring systems in optimal predictive control for wave energy converters," Renewable Energy, Elsevier, vol. 218(C).
    • Handle: RePEc:eee:renene:v:218:y:2023:i:c:s0960148123011576
    DOI: 10.1016/j.renene.2023.119242
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123011576
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119242?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. Josh Davidson & John V. Ringwood, 2017. "Mathematical Modelling of Mooring Systems for Wave Energy Converters—A Review," Energies, MDPI, vol. 10(5), pages 1-46, May.
    2. Liberti, Luca & Carillo, Adriana & Sannino, Gianmaria, 2013. "Wave energy resource assessment in the Mediterranean, the Italian perspective," Renewable Energy, Elsevier, vol. 50(C), pages 938-949.
    3. Gubesch, Eric & Abdussamie, Nagi & Penesis, Irene & Chin, Christopher, 2022. "Effects of mooring configurations on the hydrodynamic performance of a floating offshore oscillating water column wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    4. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
    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. Paduano, Bruno & Parrinello, Luca & Niosi, Francesco & Dell’Edera, Oronzo & Sirigu, Sergej Antonello & Faedo, Nicolás & Mattiazzo, Giuliana, 2024. "Towards standardised design of wave energy converters: A high-fidelity modelling approach," Renewable Energy, Elsevier, vol. 224(C).
    2. Papini, Guglielmo & Faedo, Nicolás & Mattiazzo, Giuliana, 2024. "Fault diagnosis and fault-tolerant control in wave energy: A perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(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. Paduano, Bruno & Parrinello, Luca & Niosi, Francesco & Dell’Edera, Oronzo & Sirigu, Sergej Antonello & Faedo, Nicolás & Mattiazzo, Giuliana, 2024. "Towards standardised design of wave energy converters: A high-fidelity modelling approach," Renewable Energy, Elsevier, vol. 224(C).
    2. 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.
    3. Jonas Bjerg Thomsen & Francesco Ferri & Jens Peter Kofoed & Kevin Black, 2018. "Cost Optimization of Mooring Solutions for Large Floating Wave Energy Converters," Energies, MDPI, vol. 11(1), pages 1-23, January.
    4. Seongho Ahn & Kevin A. Haas & Vincent S. Neary, 2020. "Dominant Wave Energy Systems and Conditional Wave Resource Characterization for Coastal Waters of the United States," Energies, MDPI, vol. 13(12), pages 1-26, June.
    5. Wang, Mangkuan & Shang, Jianzhong & Luo, Zirong & Lu, Zhongyue & Yao, Ganzhou, 2023. "Theoretical and numerical studies on improving absorption power of multi-body wave energy convert device with nonlinear bistable structure," Energy, Elsevier, vol. 282(C).
    6. Yang, Zhaoqing & García Medina, Gabriel & Neary, Vincent S. & Ahn, Seongho & Kilcher, Levi & Bharath, Aidan, 2023. "Multi-decade high-resolution regional hindcasts for wave energy resource characterization in U.S. coastal waters," Renewable Energy, Elsevier, vol. 212(C), pages 803-817.
    7. Joan Pau Sierra & Ricard Castrillo & Marc Mestres & César Mösso & Piero Lionello & Luigi Marzo, 2020. "Impact of Climate Change on Wave Energy Resource in the Mediterranean Coast of Morocco," Energies, MDPI, vol. 13(11), pages 1-19, June.
    8. Cheng, Yong & Song, Fukai & Fu, Lei & Dai, Saishuai & Zhiming Yuan, & Incecik, Atilla, 2024. "Experimental investigation of a dual-pontoon WEC-type breakwater with a hydraulic-pneumatic complementary power take-off system," Energy, Elsevier, vol. 286(C).
    9. Shadmani, Alireza & Nikoo, Mohammad Reza & Gandomi, Amir H. & Chen, Mingjie & Nazari, Rouzbeh, 2024. "Advancements in optimizing wave energy converter geometry utilizing metaheuristic algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    10. 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).
    11. Kasiulis, Egidijus & Punys, Petras & Kofoed, Jens Peter, 2015. "Assessment of theoretical near-shore wave power potential along the Lithuanian coast of the Baltic Sea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 134-142.
    12. 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).
    13. Amarouche, Khalid & Akpınar, Adem & Bachari, Nour El Islam & Houma, Fouzia, 2020. "Wave energy resource assessment along the Algerian coast based on 39-year wave hindcast," Renewable Energy, Elsevier, vol. 153(C), pages 840-860.
    14. Wang, Yuhan & Dong, Sheng, 2023. "Analytical investigation on a wave energy converter-dual-arc breakwater integration system," Energy, Elsevier, vol. 285(C).
    15. Barbariol, Francesco & Benetazzo, Alvise & Carniel, Sandro & Sclavo, Mauro, 2013. "Improving the assessment of wave energy resources by means of coupled wave-ocean numerical modeling," Renewable Energy, Elsevier, vol. 60(C), pages 462-471.
    16. 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.
    17. Appendini, Christian M. & Urbano-Latorre, Claudia P. & Figueroa, Bernardo & Dagua-Paz, Claudia J. & Torres-Freyermuth, Alec & Salles, Paulo, 2015. "Wave energy potential assessment in the Caribbean Low Level Jet using wave hindcast information," Applied Energy, Elsevier, vol. 137(C), pages 375-384.
    18. Choupin, O. & Têtu, A. & Del Río-Gamero, B. & Ferri, F. & Kofoed, JP., 2022. "Premises for an annual energy production and capacity factor improvement towards a few optimised wave energy converters configurations and resources pairs," Applied Energy, Elsevier, vol. 312(C).
    19. Neill, Simon P. & Hashemi, M. Reza, 2013. "Wave power variability over the northwest European shelf seas," Applied Energy, Elsevier, vol. 106(C), pages 31-46.
    20. Sierra, J.P. & Martín, C. & Mösso, C. & Mestres, M. & Jebbad, R., 2016. "Wave energy potential along the Atlantic coast of Morocco," Renewable Energy, Elsevier, vol. 96(PA), pages 20-32.

    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:218:y:2023:i:c:s0960148123011576. 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.