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Performance and resilience of hydrokinetic turbine arrays under large migrating fluvial bedforms

Author

Listed:
  • Mirko Musa

    (University of Minnesota
    University of Minnesota)

  • Craig Hill

    (University of Minnesota
    University of Washington
    University of Washington)

  • Fotis Sotiropoulos

    (Stony Brook University)

  • Michele Guala

    (University of Minnesota
    University of Minnesota)

Abstract

The deployment of in-stream flow-energy converters in rivers is an opportunity to expand the renewable energy portfolio and limit carbon emissions. Device performance and lifetime, environmental conservation, and the safety of fluvial communities against flood events, however, present unresolved challenges. In particular, we need to understand how multiple submerged hydrokinetic turbines interact with the sediment bed and whether existing technologies can be deployed in morphodynamically active natural rivers. Here, we present a scaled demonstration of a hydrokinetic turbine power plant deployed in a quasi-field-scale channel with sediment transport and migrating bedforms. We measure high-frequency sediment flux, the spatiotemporally resolved bathymetry and the turbine model performance. We find that with opportune siting, kinetic energy can be extracted efficiently without compromising the geomorphic equilibrium of the river and the structural safety of the turbine foundation, even in the presence of large migrating dunes, thus paving the way for harnessing sustainable and renewable energy in rivers.

Suggested Citation

  • Mirko Musa & Craig Hill & Fotis Sotiropoulos & Michele Guala, 2018. "Performance and resilience of hydrokinetic turbine arrays under large migrating fluvial bedforms," Nature Energy, Nature, vol. 3(10), pages 839-846, October.
  • Handle: RePEc:nat:natene:v:3:y:2018:i:10:d:10.1038_s41560-018-0218-9
    DOI: 10.1038/s41560-018-0218-9
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    Citations

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    Cited by:

    1. Dou, Bingzheng & Guala, Michele & Lei, Liping & Zeng, Pan, 2019. "Wake model for horizontal-axis wind and hydrokinetic turbines in yawed conditions," Applied Energy, Elsevier, vol. 242(C), pages 1383-1395.
    2. Apsley, David D., 2024. "CFD simulation of tidal-stream turbines in a compact array," Renewable Energy, Elsevier, vol. 224(C).
    3. Xiaolei Yang & Fotis Sotiropoulos, 2019. "A Review on the Meandering of Wind Turbine Wakes," Energies, MDPI, vol. 12(24), pages 1-20, December.
    4. Musa, Mirko & Hill, Craig & Guala, Michele, 2019. "Interaction between hydrokinetic turbine wakes and sediment dynamics: array performance and geomorphic effects under different siting strategies and sediment transport conditions," Renewable Energy, Elsevier, vol. 138(C), pages 738-753.
    5. Jiyong Lee & Mirko Musa & Chris Feist & Jinjin Gao & Lian Shen & Michele Guala, 2019. "Wake Characteristics and Power Performance of a Drag-Driven in-Bank Vertical Axis Hydrokinetic Turbine," Energies, MDPI, vol. 12(19), pages 1-20, September.
    6. Clemente Gotelli & Mirko Musa & Michele Guala & Cristián Escauriaza, 2019. "Experimental and Numerical Investigation of Wake Interactions of Marine Hydrokinetic Turbines," Energies, MDPI, vol. 12(16), pages 1-17, August.
    7. Chen, Yaling & Wang, Dayu & Wang, Dangwei, 2024. "The flow field within a staggered hydrokinetic turbine array," Renewable Energy, Elsevier, vol. 224(C).
    8. Guerra, Maricarmen & Hay, Alex E. & Karsten, Richard & Trowse, Gregory & Cheel, Richard A., 2021. "Turbulent flow mapping in a high-flow tidal channel using mobile acoustic Doppler current profilers," Renewable Energy, Elsevier, vol. 177(C), pages 759-772.
    9. Karina Soto-Rivas & David Richter & Cristian Escauriaza, 2019. "A Formulation of the Thrust Coefficient for Representing Finite-Sized Farms of Tidal Energy Converters," Energies, MDPI, vol. 12(20), pages 1-17, October.
    10. Craig Hill & Vincent S. Neary & Michele Guala & Fotis Sotiropoulos, 2020. "Performance and Wake Characterization of a Model Hydrokinetic Turbine: The Reference Model 1 (RM1) Dual Rotor Tidal Energy Converter," Energies, MDPI, vol. 13(19), pages 1-21, October.
    11. Wu, Chutian & Yang, Xiaolei & Zhu, Yaxin, 2021. "On the design of potential turbine positions for physics-informed optimization of wind farm layout," Renewable Energy, Elsevier, vol. 164(C), pages 1108-1120.
    12. Guerra, Maricarmen & Hay, Alex E., 2024. "Field observations of the wake from a full-scale tidal turbine array," Renewable Energy, Elsevier, vol. 226(C).
    13. El Fajri, Oumnia & Bowman, Joshua & Bhushan, Shanti & Thompson, David & O'Doherty, Tim, 2022. "Numerical study of the effect of tip-speed ratio on hydrokinetic turbine wake recovery," Renewable Energy, Elsevier, vol. 182(C), pages 725-750.
    14. Deng, Guizhong & Zhang, Zhaoru & Li, Ye & Liu, Hailong & Xu, Wentao & Pan, Yulin, 2020. "Prospective of development of large-scale tidal current turbine array: An example numerical investigation of Zhejiang, China," Applied Energy, Elsevier, vol. 264(C).
    15. Li, Xiaorong & Li, Ming & Wolf, Judith & Williams, Alison J. & Badoe, Charles & Masters, Ian, 2024. "Local and regional interactions between tidal stream turbines and coastal environment," Renewable Energy, Elsevier, vol. 229(C).
    16. Ebrahimi, Mohsen & Duncan, Susannah & Belmont, Michael R. & Kripakaran, Prakash & Tabor, Gavin R. & Moon, Ian & Djordjević, Slobodan, 2020. "Flume experiments on the impact of a cross-flow turbine on an erodible bed," Renewable Energy, Elsevier, vol. 153(C), pages 1219-1225.

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