IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i5p309-d68856.html
   My bibliography  Save this article

One-Dimensional Modelling of Marine Current Turbine Runaway Behaviour

Author

Listed:
  • Staffan Lundin

    (Division of Electricity, Department of Engineering Sciences, Uppsala University, P.O. Box 534, SE-751 21 Uppsala, Sweden)

  • Anders Goude

    (Division of Electricity, Department of Engineering Sciences, Uppsala University, P.O. Box 534, SE-751 21 Uppsala, Sweden)

  • Mats Leijon

    (Division of Electricity, Department of Engineering Sciences, Uppsala University, P.O. Box 534, SE-751 21 Uppsala, Sweden)

Abstract

If a turbine loses its electrical load, it will rotate freely and increase speed, eventually achieving that rotational speed which produces zero net torque. This is known as a runaway situation. Unlike many other types of turbine, a marine current turbine will typically overshoot the final runaway speed before slowing down and settling at the runaway speed. Since the hydrodynamic forces acting on the turbine are dependent on rotational speed and acceleration, turbine behaviour during runaway becomes important for load analyses during turbine design. In this article, we consider analytical and numerical models of marine current turbine runaway behaviour in one dimension. The analytical model is found not to capture the overshoot phenomenon, while still providing useful estimates of acceleration at the onset of runaway. The numerical model incorporates turbine wake build-up and predicts a rotational speed overshoot. The predictions of the models are compared against measurements of runaway of a marine current turbine. The models are also used to recreate previously-published results for a tidal turbine and applied to a wind turbine. It is found that both models provide reasonable estimates of maximum accelerations. The numerical model is found to capture the speed overshoot well.

Suggested Citation

  • Staffan Lundin & Anders Goude & Mats Leijon, 2016. "One-Dimensional Modelling of Marine Current Turbine Runaway Behaviour," Energies, MDPI, vol. 9(5), pages 1-16, April.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:5:p:309-:d:68856
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/5/309/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/9/5/309/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kjellin, J. & Bülow, F. & Eriksson, S. & Deglaire, P. & Leijon, M. & Bernhoff, H., 2011. "Power coefficient measurement on a 12 kW straight bladed vertical axis wind turbine," Renewable Energy, Elsevier, vol. 36(11), pages 3050-3053.
    2. Eriksson, Sandra & Bernhoff, Hans, 2011. "Loss evaluation and design optimisation for direct driven permanent magnet synchronous generators for wind power," Applied Energy, Elsevier, vol. 88(1), pages 265-271, January.
    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. Johan Forslund & Anders Goude & Karin Thomas, 2018. "Validation of a Coupled Electrical and Hydrodynamic Simulation Model for a Vertical Axis Marine Current Energy Converter," Energies, MDPI, vol. 11(11), pages 1-13, November.

    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. Senad Apelfröjd & Sandra Eriksson & Hans Bernhoff, 2016. "A Review of Research on Large Scale Modern Vertical Axis Wind Turbines at Uppsala University," Energies, MDPI, vol. 9(7), pages 1-16, July.
    2. Ravasco, Francisco & Melicio, Rui & Batista, Nelson & Valério, Duarte, 2020. "A wind turbine and its robust control using the CRONE method," Renewable Energy, Elsevier, vol. 160(C), pages 483-497.
    3. Anders Goude & Morgan Rossander, 2017. "Force Measurements on a VAWT Blade in Parked Conditions," Energies, MDPI, vol. 10(12), pages 1-15, November.
    4. Meana-Fernández, Andrés & Solís-Gallego, Irene & Fernández Oro, Jesús Manuel & Argüelles Díaz, Katia María & Velarde-Suárez, Sandra, 2018. "Parametrical evaluation of the aerodynamic performance of vertical axis wind turbines for the proposal of optimized designs," Energy, Elsevier, vol. 147(C), pages 504-517.
    5. Lam, H.F. & Peng, H.Y., 2016. "Study of wake characteristics of a vertical axis wind turbine by two- and three-dimensional computational fluid dynamics simulations," Renewable Energy, Elsevier, vol. 90(C), pages 386-398.
    6. Hand, Brian & Kelly, Ger & Cashman, Andrew, 2021. "Aerodynamic design and performance parameters of a lift-type vertical axis wind turbine: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    7. Chen, J. & Yang, H.X. & Liu, C.P. & Lau, C.H. & Lo, M., 2013. "A novel vertical axis water turbine for power generation from water pipelines," Energy, Elsevier, vol. 54(C), pages 184-193.
    8. K. Padmanathan & N. Kamalakannan & P. Sanjeevikumar & F. Blaabjerg & J. B. Holm-Nielsen & G. Uma & R. Arul & R. Rajesh & A. Srinivasan & J. Baskaran, 2019. "Conceptual Framework of Antecedents to Trends on Permanent Magnet Synchronous Generators for Wind Energy Conversion Systems," Energies, MDPI, vol. 12(13), pages 1-39, July.
    9. Ding, Yu & Kumar, Nitesh & Prakash, Abhinav & Kio, Adaiyibo E. & Liu, Xin & Liu, Lei & Li, Qingchang, 2021. "A case study of space-time performance comparison of wind turbines on a wind farm," Renewable Energy, Elsevier, vol. 171(C), pages 735-746.
    10. Seo, Dong-yeon & Koo, Choongwan & Hong, Taehoon, 2015. "A Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design," Applied Energy, Elsevier, vol. 142(C), pages 66-79.
    11. Goude, Anders & Bülow, Fredrik, 2013. "Robust VAWT control system evaluation by coupled aerodynamic and electrical simulations," Renewable Energy, Elsevier, vol. 59(C), pages 193-201.
    12. Batista, N.C. & Melício, R. & Mendes, V.M.F. & Calderón, M. & Ramiro, A., 2015. "On a self-start Darrieus wind turbine: Blade design and field tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 508-522.
    13. Delafin, P.-L. & Nishino, T. & Kolios, A. & Wang, L., 2017. "Comparison of low-order aerodynamic models and RANS CFD for full scale 3D vertical axis wind turbines," Renewable Energy, Elsevier, vol. 109(C), pages 564-575.
    14. Eduard Dyachuk & Anders Goude, 2015. "Numerical Validation of a Vortex Model against ExperimentalData on a Straight-Bladed Vertical Axis Wind Turbine," Energies, MDPI, vol. 8(10), pages 1-21, October.
    15. Daniel Micallef & Gerard Van Bussel, 2018. "A Review of Urban Wind Energy Research: Aerodynamics and Other Challenges," Energies, MDPI, vol. 11(9), pages 1-27, August.
    16. Jesús Antonio Enríquez Santiago & Orlando Lastres Danguillecourt & Guillermo Ibáñez Duharte & Jorge Evaristo Conde Díaz & Antonio Verde Añorve & Quetzalcoatl Hernandez Escobedo & Joel Pantoja Enríquez, 2021. "Dimensioning Optimization of the Permanent Magnet Synchronous Generator for Direct Drive Wind Turbines," Energies, MDPI, vol. 14(21), pages 1-13, November.
    17. Daróczy, László & Janiga, Gábor & Thévenin, Dominique, 2016. "Analysis of the performance of a H-Darrieus rotor under uncertainty using Polynomial Chaos Expansion," Energy, Elsevier, vol. 113(C), pages 399-412.
    18. Tao Wang & He Wang, 2017. "Research on an Integrated Hydrostatic-Driven Electric Generator with Controllable Load for Renewable Energy Applications," Energies, MDPI, vol. 10(9), pages 1-17, August.
    19. Morgan Rossander & Eduard Dyachuk & Senad Apelfröjd & Kristian Trolin & Anders Goude & Hans Bernhoff & Sandra Eriksson, 2015. "Evaluation of a Blade Force Measurement System for a Vertical Axis Wind Turbine Using Load Cells," Energies, MDPI, vol. 8(6), pages 1-24, June.
    20. Arroyo, A. & Manana, M. & Gomez, C. & Fernandez, I. & Delgado, F. & Zobaa, Ahmed F., 2013. "A methodology for the low-cost optimisation of small wind turbine performance," Applied Energy, Elsevier, vol. 104(C), pages 1-9.

    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:9:y:2016:i:5:p:309-:d:68856. 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.