IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i16p5909-d1214232.html
   My bibliography  Save this article

Limits on the Range and Rate of Change in Power Take-Off Load in Ocean Wave Energy Conversion: A Study Using Model Predictive Control

Author

Listed:
  • Jeremy W. Simmons

    (Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA)

  • James D. Van de Ven

    (Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA)

Abstract

Previous work comparing power take-off (PTO) architectures for ocean wave-powered reverse osmosis suggests that variable displacement in the wave energy converter (WEC)-driven pump does not offer a significant performance advantage. A limitation of that study is that the WEC was subject to a constant load within a given sea state (“Coulomb damping”) and did not account for controlled, moment-to-moment variation of the PTO load enabled by a variable displacement pump. This study explores the potential performance advantage of a variable PTO load over Coulomb damping. Model predictive control is used to provide optimal load control with constraints on the PTO load. The constraints include minimum and maximum loads and a limit on the rate of load adjustment. Parameter studies on these constraints enable conclusions about PTO design requirements in addition to providing an estimated performance advantage over Coulomb damping. Numerical simulation of the Oyster 1 WEC is carried out with performance weighted by historical sea state data from Humboldt Bay, CA. The results show a performance advantage of up to 20% higher yearly-average power absorption over Coulomb damping. Additionally, the parameter studies suggest that the PTO load should be adjustable down to at least 25% of the maximum load and should be adjustable between the minimum and maximum loads within a few seconds.

Suggested Citation

  • Jeremy W. Simmons & James D. Van de Ven, 2023. "Limits on the Range and Rate of Change in Power Take-Off Load in Ocean Wave Energy Conversion: A Study Using Model Predictive Control," Energies, MDPI, vol. 16(16), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:5909-:d:1214232
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/16/5909/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/16/5909/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. O'Sullivan, Adrian C.M. & Lightbody, Gordon, 2017. "Co-design of a wave energy converter using constrained predictive control," Renewable Energy, Elsevier, vol. 102(PA), pages 142-156.
    2. Rico H. Hansen & Morten M. Kramer & Enrique Vidal, 2013. "Discrete Displacement Hydraulic Power Take-Off System for the Wavestar Wave Energy Converter," Energies, MDPI, vol. 6(8), pages 1-44, August.
    3. Anders Hedegaard Hansen & Magnus F. Asmussen & Michael M. Bech, 2018. "Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System," Energies, MDPI, vol. 11(3), pages 1-17, March.
    4. 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. Jeremy W. Simmons & James D. Van de Ven, 2023. "A Comparison of Power Take-Off Architectures for Wave-Powered Reverse Osmosis Desalination of Seawater with Co-Production of Electricity," Energies, MDPI, vol. 16(21), pages 1-33, October.

    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. Penalba, Markel & Ringwood, John V., 2019. "A high-fidelity wave-to-wire model for wave energy converters," Renewable Energy, Elsevier, vol. 134(C), pages 367-378.
    2. 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.
    3. 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.
    4. Markel Penalba & José-Antonio Cortajarena & John V. Ringwood, 2017. "Validating a Wave-to-Wire Model for a Wave Energy Converter—Part II: The Electrical System," Energies, MDPI, vol. 10(7), pages 1-24, July.
    5. 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.
    6. Dan Montoya & Elisabetta Tedeschi & Luca Castellini & Tiago Martins, 2021. "Passive Model Predictive Control on a Two-Body Self-Referenced Point Absorber Wave Energy Converter," Energies, MDPI, vol. 14(6), pages 1-21, March.
    7. 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.
    8. Kushal A. Prasad & Aneesh A. Chand & Nallapaneni Manoj Kumar & Sumesh Narayan & Kabir A. Mamun, 2022. "A Critical Review of Power Take-Off Wave Energy Technology Leading to the Conceptual Design of a Novel Wave-Plus-Photon Energy Harvester for Island/Coastal Communities’ Energy Needs," Sustainability, MDPI, vol. 14(4), pages 1-55, February.
    9. 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.
    10. Tunde Aderinto & Hua Li, 2020. "Effect of Spatial and Temporal Resolution Data on Design and Power Capture of a Heaving Point Absorber," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    11. O'Sullivan, Adrian C.M. & Lightbody, Gordon, 2017. "Co-design of a wave energy converter using constrained predictive control," Renewable Energy, Elsevier, vol. 102(PA), pages 142-156.
    12. Zhang, Zhenquan & Qin, Jian & Zhang, Yuchen & Huang, Shuting & Liu, Yanjun & Xue, Gang, 2023. "Cooperative model predictive control for Wave Energy Converter arrays," Renewable Energy, Elsevier, vol. 219(P1).
    13. 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).
    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. Zou, Shangyan & Abdelkhalik, Ossama, 2020. "Collective control in arrays of wave energy converters," Renewable Energy, Elsevier, vol. 156(C), pages 361-369.
    16. Rafael Guardeño & Agustín Consegliere & Manuel J. López, 2018. "A Study about Performance and Robustness of Model Predictive Controllers in a WEC System," Energies, MDPI, vol. 11(10), pages 1-23, October.
    17. 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.
    18. Gaspar, José F. & Calvário, Miguel & Kamarlouei, Mojtaba & Guedes Soares, C., 2016. "Power take-off concept for wave energy converters based on oil-hydraulic transformer units," Renewable Energy, Elsevier, vol. 86(C), pages 1232-1246.
    19. Penalba, Markel & Ulazia, Alain & Ibarra-Berastegui, Gabriel & Ringwood, John & Sáenz, Jon, 2018. "Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption," Applied Energy, Elsevier, vol. 224(C), pages 205-219.
    20. Coiro, Domenico P. & Troise, Giancarlo & Calise, Giuseppe & Bizzarrini, Nadia, 2016. "Wave energy conversion through a point pivoted absorber: Numerical and experimental tests on a scaled model," Renewable Energy, Elsevier, vol. 87(P1), pages 317-325.

    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:gam:jeners:v:16:y:2023:i:16:p:5909-:d:1214232. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.