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Estimating the probability of fish encountering a marine hydrokinetic device

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  • Shen, Haixue
  • Zydlewski, Gayle Barbin
  • Viehman, Haley A.
  • Staines, Garrett

Abstract

Strong tidal currents in eastern Maine, USA, make that region attractive for tidal power development. Little is known about the effects of marine hydrokinetic (MHK) devices on fish, yet many fish species use tidal currents for movements. We used empirical data from stationary and mobile hydroacoustic surveys to examine the probability that fish would be at the depth of an MHK device and may therefore encounter it. The probability was estimated using three components: 1) probability of fish being at device-depth when the device was absent; 2) probability of fish behavior changing to avoid the device in the far-field; and 3) probability of fish being at device-depth in the near-field when the device was present. There were differences in probabilities of fish encountering the MHK device based on month, diel condition and tidal stage. The maximum probability of fish encountering the whole device was 0.432 (95% CI: [0.305, 0.553]), and the probability of fish encountering only device foils was 0.058 (95% CI: [0.043, 0.073]). Mobile hydroacoustics indicated that fish likely avoided the device with horizontal movement beginning 140 m away. We estimated the encounter probability for one device, but results can be applied to arrays, which may have bay-wide implications.

Suggested Citation

  • Shen, Haixue & Zydlewski, Gayle Barbin & Viehman, Haley A. & Staines, Garrett, 2016. "Estimating the probability of fish encountering a marine hydrokinetic device," Renewable Energy, Elsevier, vol. 97(C), pages 746-756.
    • Handle: RePEc:eee:renene:v:97:y:2016:i:c:p:746-756
    DOI: 10.1016/j.renene.2016.06.026
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    References listed on IDEAS

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    1. Bahaj, AbuBakr S., 2011. "Generating electricity from the oceans," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3399-3416, September.
    2. Pelc, Robin & Fujita, Rod M., 2002. "Renewable energy from the ocean," Marine Policy, Elsevier, vol. 26(6), pages 471-479, November.
    3. Waters, Shaun & Aggidis, George, 2016. "Tidal range technologies and state of the art in review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 514-529.
    4. Romero-Gomez, Pedro & Richmond, Marshall C., 2014. "Simulating blade-strike on fish passing through marine hydrokinetic turbines," Renewable Energy, Elsevier, vol. 71(C), pages 401-413.
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    Cited by:

    1. Scherelis, Constantin & Penesis, Irene & Hemer, Mark A. & Cossu, Remo & Wright, Jeffrey T. & Guihen, Damien, 2020. "Investigating biophysical linkages at tidal energy candidate sites: a case study for combining environmental assessment and resource characterisation," Renewable Energy, Elsevier, vol. 159(C), pages 399-413.
    2. Rossington, Kate & Benson, Thomas, 2020. "An agent-based model to predict fish collisions with tidal stream turbines," Renewable Energy, Elsevier, vol. 151(C), pages 1220-1229.
    3. Garrett Staines & Gayle Zydlewski & Haley Viehman, 2019. "Changes in Relative Fish Density Around a Deployed Tidal Turbine during on-Water Activities," Sustainability, MDPI, vol. 11(22), pages 1-12, November.
    4. Williamson, Benjamin & Fraser, Shaun & Williamson, Laura & Nikora, Vladimir & Scott, Beth, 2019. "Predictable changes in fish school characteristics due to a tidal turbine support structure," Renewable Energy, Elsevier, vol. 141(C), pages 1092-1102.

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