IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v153y2020icp624-633.html
   My bibliography  Save this article

Performance assessment of a tidal turbine using two flow references

Author

Listed:
  • Harrold, Magnus
  • Ouro, Pablo
  • O’Doherty, Tim

Abstract

The measurement of power performance is an important procedure in the design verification and ongoing health monitoring of a tidal turbine. Standardised methods state that the performance should be measured relative to two independently located flow sensors, the arrangement of which is often non-trivial and necessitates additional cost. Recent interest in the usage of flow sensors mounted on the turbine has demonstrated their capabilities in profiling the rotor approach flow, but this instrument configuration is not recognised in the performance assessment standard. This study evaluates the merits of the turbine mounted configuration by measuring the performance of a tidal turbine relative to this reference and to a conventional seabed placed instrument. The turbine mounted sensor is found to provide a better reference of the free-stream conditions, evident from an improved agreement with theoretical predictions of device performance and a reduced amount of variation in the results. This new method could reduce both the costs and uncertainty associated with existing performance assessment best practices.

Suggested Citation

  • Harrold, Magnus & Ouro, Pablo & O’Doherty, Tim, 2020. "Performance assessment of a tidal turbine using two flow references," Renewable Energy, Elsevier, vol. 153(C), pages 624-633.
    • Handle: RePEc:eee:renene:v:153:y:2020:i:c:p:624-633
    DOI: 10.1016/j.renene.2019.12.052
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014811931924X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.12.052?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. Mason-Jones, A. & O'Doherty, D.M. & Morris, C.E. & O'Doherty, T. & Byrne, C.B. & Prickett, P.W. & Grosvenor, R.I. & Owen, I. & Tedds, S. & Poole, R.J., 2012. "Non-dimensional scaling of tidal stream turbines," Energy, Elsevier, vol. 44(1), pages 820-829.
    2. Hameed, Z. & Hong, Y.S. & Cho, Y.M. & Ahn, S.H. & Song, C.K., 2009. "Condition monitoring and fault detection of wind turbines and related algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 1-39, January.
    3. Evans, P. & Mason-Jones, A. & Wilson, C. & Wooldridge, C. & O'Doherty, T. & O'Doherty, D., 2015. "Constraints on extractable power from energetic tidal straits," Renewable Energy, Elsevier, vol. 81(C), pages 707-722.
    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. Dong, Yongjun & Guo, Jingfu & Chen, Jianmei & Sun, Chao & Zhu, Wanqiang & Chen, Liwei & Zhang, Xueming, 2021. "Development of a 300 kW horizontal-axis tidal stream energy conversion system with adaptive variable-pitch turbine and direct-drive PMSG," Energy, Elsevier, vol. 226(C).
    2. Luke Evans & Ian Ashton & Brian G. Sellar, 2023. "Impact on Energy Yield of Varying Turbine Designs under Conditions of Misalignment to the Current Flow," Energies, MDPI, vol. 16(9), pages 1-17, May.
    3. Pisetta, Gabriele & Le Mestre, Robin & Viola, Ignazio Maria, 2022. "Morphing blades for tidal turbines: A theoretical study," Renewable Energy, Elsevier, vol. 183(C), pages 802-819.
    4. Allmark, Matthew & Ellis, Robert & Ebdon, Tim & Lloyd, Catherine & Ordonez-Sanchez, Stephanie & Martinez, Rodrigo & Mason-Jones, Allan & Johnstone, Cameron & O’Doherty, Tim, 2021. "A detailed study of tidal turbine power production and dynamic loading under grid generated turbulence and turbine wake operation," Renewable Energy, Elsevier, vol. 169(C), pages 1422-1439.
    5. Evans, Luke & Ashton, Ian & Sellar, Brian, 2023. "Tidal turbine power performance assessments following IEC TS 62600-200 using measured and modelled power outputs," Renewable Energy, Elsevier, vol. 212(C), pages 138-150.

    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. Frost, Carwyn H. & Evans, Paul S. & Harrold, Magnus J. & Mason-Jones, Allan & O'Doherty, Tim & O'Doherty, Daphne M., 2017. "The impact of axial flow misalignment on a tidal turbine," Renewable Energy, Elsevier, vol. 113(C), pages 1333-1344.
    2. Beganovic, Nejra & Söffker, Dirk, 2016. "Structural health management utilization for lifetime prognosis and advanced control strategy deployment of wind turbines: An overview and outlook concerning actual methods, tools, and obtained result," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 68-83.
    3. Le Zhang & Qiang Yang, 2020. "Investigation of the Design and Fault Prediction Method for an Abrasive Particle Sensor Used in Wind Turbine Gearbox," Energies, MDPI, vol. 13(2), pages 1-13, January.
    4. Jin, Xin & Ju, Wenbin & Zhang, Zhaolong & Guo, Lianxin & Yang, Xiangang, 2016. "System safety analysis of large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1293-1307.
    5. Ruiz de la Hermosa González-Carrato, Raúl & García Márquez, Fausto Pedro & Dimlaye, Vichaar, 2015. "Maintenance management of wind turbines structures via MFCs and wavelet transforms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 472-482.
    6. Moynihan, Bridget & Moaveni, Babak & Liberatore, Sauro & Hines, Eric, 2022. "Estimation of blade forces in wind turbines using blade root strain measurements with OpenFAST verification," Renewable Energy, Elsevier, vol. 184(C), pages 662-676.
    7. Taylor, Josh A. & Dhople, Sairaj V. & Callaway, Duncan S., 2016. "Power systems without fuel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1322-1336.
    8. Hare, James & Shi, Xiaofang & Gupta, Shalabh & Bazzi, Ali, 2016. "Fault diagnostics in smart micro-grids: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1114-1124.
    9. Wenyi, Liu & Zhenfeng, Wang & Jiguang, Han & Guangfeng, Wang, 2013. "Wind turbine fault diagnosis method based on diagonal spectrum and clustering binary tree SVM," Renewable Energy, Elsevier, vol. 50(C), pages 1-6.
    10. de Jesus Henriques, Tiago A. & Hedges, Terry S. & Owen, Ieuan & Poole, Robert J., 2016. "The influence of blade pitch angle on the performance of a model horizontal axis tidal stream turbine operating under wave–current interaction," Energy, Elsevier, vol. 102(C), pages 166-175.
    11. Zanforlin, Stefania & Deluca, Stefano, 2018. "Effects of the Reynolds number and the tip losses on the optimal aspect ratio of straight-bladed Vertical Axis Wind Turbines," Energy, Elsevier, vol. 148(C), pages 179-195.
    12. Lin, Jie & Lin, Binliang & Sun, Jian & Chen, Yaling, 2017. "Numerical model simulation of island-headland induced eddies in a site for tidal current energy extraction," Renewable Energy, Elsevier, vol. 101(C), pages 204-213.
    13. Phong B. Dao, 2021. "A CUSUM-Based Approach for Condition Monitoring and Fault Diagnosis of Wind Turbines," Energies, MDPI, vol. 14(11), pages 1-19, June.
    14. Jianjun Chen & Weihao Hu & Di Cao & Bin Zhang & Qi Huang & Zhe Chen & Frede Blaabjerg, 2019. "An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach," Energies, MDPI, vol. 12(14), pages 1-15, July.
    15. Guerine, A. & El Hami, A. & Walha, L. & Fakhfakh, T. & Haddar, M., 2017. "Dynamic response of wind turbine gear system with uncertain-but-bounded parameters using interval analysis method," Renewable Energy, Elsevier, vol. 113(C), pages 679-687.
    16. Oh, Ki-Yong & Park, Joon-Young & Lee, Jun-Shin & Lee, JaeKyung, 2015. "Implementation of a torque and a collective pitch controller in a wind turbine simulator to characterize the dynamics at three control regions," Renewable Energy, Elsevier, vol. 79(C), pages 150-160.
    17. Teng, Wei & Ding, Xian & Zhang, Xiaolong & Liu, Yibing & Ma, Zhiyong, 2016. "Multi-fault detection and failure analysis of wind turbine gearbox using complex wavelet transform," Renewable Energy, Elsevier, vol. 93(C), pages 591-598.
    18. Mujahid Badshah & Saeed Badshah & James VanZwieten & Sakhi Jan & Muhammad Amir & Suheel Abdullah Malik, 2019. "Coupled Fluid-Structure Interaction Modelling of Loads Variation and Fatigue Life of a Full-Scale Tidal Turbine under the Effect of Velocity Profile," Energies, MDPI, vol. 12(11), pages 1-22, June.
    19. Lee, Jae-Kyung & Park, Joon-Young & Oh, Ki-Yong & Ju, Seung-Hwan & Lee, Jun-Shin, 2015. "Transformation algorithm of wind turbine blade moment signals for blade condition monitoring," Renewable Energy, Elsevier, vol. 79(C), pages 209-218.
    20. Yunxuan Dong & Jianzhou Wang & Chen Wang & Zhenhai Guo, 2017. "Research and Application of Hybrid Forecasting Model Based on an Optimal Feature Selection System—A Case Study on Electrical Load Forecasting," Energies, MDPI, vol. 10(4), pages 1-27, April.

    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:153:y:2020:i:c:p:624-633. 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.