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Wave Energy Chapter | 5 137


































             FIG. 5.16  Mean winter (December-January-February) wave power averaged over the NW
             European shelf seas plotted against the DJF NAO. The dashed line is the least squares line of best fit
              2
             (r = 0.69). (Reproduced from S.P. Neill, M.R. Hashemi, Wave power variability over the northwest
             European shelf seas, Appl. Energy 106 (2013) 31–46, with permission from Elsevier.)



             cannot be used to infer winter wave conditions due to strong seasonal trends in
             wave conditions. Although it is important to have local measurements of waves
             to characterize the resource, in many circumstances it is more usual for limited
             wave buoy observations to be used to validate a numerical model. The numerical
             model can then be used to assess the wave resource over much longer timescales.



             5.5.1 Theoretical, Technical, and Practical Resources
             A wave resource assessment of the type presented in the previous section is
             what is known as a ‘theoretical resource’ assessment. A theoretical resource
             assessment estimates the annual average energy production for a specific wave
             (or tidal) resource, and is generally based on numerical modelling, with limited
             validation from historical data records. By contrast, the ‘technical’ resource
             is defined as the portion of the theoretical resource that can be captured
             using a specified technology. It therefore includes device characteristics (e.g.
             efficiency) and constraints such as interdevice spacings. The calculation of the
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