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Merging velocity measurements and modeling to improve understanding of tidal stream resource in Alderney Race

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  • Thiébaut, Maxime
  • Sentchev, Alexei
  • du Bois, Pascal Bailly

Abstract

Tidal circulation and tidal stream resource in Alderney Race (Raz Blanchard) were assessed by using a towed acoustic Doppler current profiler (ADCP) system and tidal modeling. Optimal Interpolation (OI) was applied to process the underway velocity measurements recorded at neap tide flood and ebb flow. The interpolation technique allows reconstructing space-time evolution of the velocity field within the domain during surveying periods. The method employs velocity covariances derived from numerical simulations by a 2D hydrodynamic model MARS. Model covariances are utilized by the OI algorithm to obtain the most likely evolution of the velocity field under the constraints provided by the ADCP observations and their error statistics. The resulting velocity fields were used for assessing the tidal stream resource at site. The largest overall difference between the kinetic power density derived from simulated and interpolated velocity fields was found for ebb tide. Model simulations constrained by velocity measurements demonstrated a significant (up to 30%) decrease of power available in the flow. A significant change in spatial pattern of power density distribution was also identified. It is demonstrated that by merging high resolution velocity measurements at tidal energy site with modeling the tidal stream potential estimation becomes more accurate.

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  • Thiébaut, Maxime & Sentchev, Alexei & du Bois, Pascal Bailly, 2019. "Merging velocity measurements and modeling to improve understanding of tidal stream resource in Alderney Race," Energy, Elsevier, vol. 178(C), pages 460-470.
    • Handle: RePEc:eee:energy:v:178:y:2019:i:c:p:460-470
    DOI: 10.1016/j.energy.2019.04.171
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    References listed on IDEAS

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    Cited by:

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    2. Fairley, Iain & Williamson, Benjamin J. & McIlvenny, Jason & King, Nicholas & Masters, Ian & Lewis, Matthew & Neill, Simon & Glasby, David & Coles, Daniel & Powell, Ben & Naylor, Keith & Robinson, Max, 2022. "Drone-based large-scale particle image velocimetry applied to tidal stream energy resource assessment," Renewable Energy, Elsevier, vol. 196(C), pages 839-855.
    3. Thiébaut, Maxime & Filipot, Jean-François & Maisondieu, Christophe & Damblans, Guillaume & Duarte, Rui & Droniou, Eloi & Chaplain, Nicolas & Guillou, Sylvain, 2020. "A comprehensive assessment of turbulence at a tidal-stream energy site influenced by wind-generated ocean waves," Energy, Elsevier, vol. 191(C).
    4. Thiébaut, Maxime & Quillien, Nolwenn & Maison, Antoine & Gaborieau, Herveline & Ruiz, Nicolas & MacKenzie, Seumas & Connor, Gary & Filipot, Jean-François, 2022. "Investigating the flow dynamics and turbulence at a tidal-stream energy site in a highly energetic estuary," Renewable Energy, Elsevier, vol. 195(C), pages 252-262.
    5. Mikaël Grondeau & Sylvain Guillou & Philippe Mercier & Emmanuel Poizot, 2019. "Wake of a Ducted Vertical Axis Tidal Turbine in Turbulent Flows, LBM Actuator-Line Approach," Energies, MDPI, vol. 12(22), pages 1-23, November.
    6. Goh, Hooi-Bein & Lai, Sai-Hin & Jameel, Mohammed & Teh, Hee-Min, 2020. "Potential of coastal headlands for tidal energy extraction and the resulting environmental effects along Negeri Sembilan coastlines: A numerical simulation study," Energy, Elsevier, vol. 192(C).

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