Mean and standard deviation of CWR and characteristic dimension for each WEC category.OWCsOvertopping devicesHeaving devicesFixed OWSCsFloating OWSCsCapture width ratio (%)Mean2917163712STD13810205Characteristic dimension (m)Mean20124121833STD1010771424Full-size tableTable optionsView in workspaceDownload as CSV
One can see that standard deviations of the CWR are large - typically, half of the mean CWR. This shows that, within a given category, the power performance of devices can differ widely. However, the mean CWR gives a good indication of the typical order of magnitude of the power performance of each of these categories.
From Table 10, it Tegobuvir can also be seen that heaving devices are typically the smallest WECs (having mean characteristic dimension 12 m). The second smallest are the fixed OWSCs (18 m) and the OWCs (20 m), followed by the floating OWSCs (33 m) and the large overtopping devices (124 m).
Fig. 16 shows the CWR as a function of the WEC characteristic dimension and the WEC category. Although the level of scattering is prostaglandins large, trends can be identified:•Floating OWSCs and overtopping devices appear to be the least efficient devices, in terms of absorbing wave energy.•Fixed OWSCs appear to be the most efficient devices.•Heaving devices and OWCs appear to be in the middle of the efficiency range.