4.8 Article

Characterising the spatial and temporal variability of the tidal-stream energy resource over the northwest European shelf seas

期刊

APPLIED ENERGY
卷 147, 期 -, 页码 510-522

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2015.03.045

关键词

Tidal-stream resource; Tidal energy; ROMS; Tidal model; Northwest European shelf

资金

  1. LCRI-M (Low Carbon Research Institute - Marine Consortium) [80284]
  2. SEACAMS (Sustainable Expansion of the Applied Coastal and Marine Sectors) [80366]
  3. EPSRC Supergen project [EP/J010200/1]
  4. Welsh Government
  5. Higher Education Funding Council for Wales
  6. Welsh European Funding Office
  7. European Regional Development Fund Convergence Programme
  8. EPSRC [EP/J010200/1] Funding Source: UKRI
  9. Engineering and Physical Sciences Research Council [EP/J010200/1] Funding Source: researchfish

向作者/读者索取更多资源

As devices move from full-scale prototype to commercial installations, it is important that developers have detailed knowledge of the tidal energy resource. Therefore, the spatial distribution of the tidal currents over the northwest European shelf seas has been examined to improve understanding of the tidal-stream energy resource. Using a three-dimensional hydrodynamic model (ROMS) at 1 km spatial resolution, and applying device characteristics of the Seagen-S turbine, we show that the ratio of the amplitudes of the M-2 and S-2 tidal currents can lead to significant variability in annual practical power generation - variability that is not accounted for when considering only the mean peak spring tidal velocities, as is generally the case in resource feasibility studies. In addition, we show that diurnal inequalities (governed by K-1 and O-1 tidal constituents) and tidal asymmetries (governed by the relationship between My and its compound tide M-4) over the northwest European shelf seas can further affect power generation at potential high-energy sites. Based on these variabilities, the spatial distribution of the tidal-stream 'capacity factor' has been calculated. We find that mean peak spring tidal velocities can under-estimate the resource by up to 25%, and that annual practical power generation can vary by similar to 15% for regions experiencing similar mean peak spring tidal velocities, due to the influence of other tidal constituents. Therefore, even preliminary resource assessments should be based on annual average power density, rather than peak spring tidal velocity. (C) 2015 The Authors. Published by Elsevier Ltd.

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