Fig. 1 2D representation of the OWC-breakwater system: ( a ) X – Y plane and ( b ) Y – Z plane More

Fig. 2 Comparison of the dimensionless pneumatic damping coefficient Δ versus kd , obtained by Eq. (20) , with the corresponding Δ values using Nader et al. [ 42 ] FEM method More

Fig. 3 Comparison of the dimensionless horizontal exciting forces on a vertical cylinder versus ka , with the corresponding results from Ref. [ 28 ] More

Fig. 4 Effect of the breakwater’s formed angle θ on q f for β = 30 deg : ( a ) L w 1 = L w 2 = 3 a and ( b ) L w 1 = L w 2 = 6 a . The dashed line corresponds to q f = 1. More

Fig. 5 Effect of the distance between the converter and the breakwater on q f for β = 30 deg and θ = 60 deg . The dashed line corresponds to q f = 1. More

Fig. 6 Effect of the wave heading angle β on q f for L w 1 = L w 2 = 3 a : ( a ) θ = 90 deg and ( b ) θ = 60 deg . The dashed line corresponds to q f = 1. More

Fig. 7 Facet discretization of the OWC-breakwater system More

Fig. 8 Exciting forces on the converter for various wave heading angles β = 30 deg, 45 deg, 90 deg: ( a ) horizontal exciting forces and ( b ) vertical exciting forces. The results are also compared with the finite length case. More

Fig. 9 Plane view of an OWC in front of a V-shaped vertical wall, using the method of images, for a random forming angle θ . The image devices are denoted as dashed circles and the breakwater walls as dashed lines. More

Fig. 1 Overview of the pipeline used to assemble the dataset and to find the environmental conditions of the regions More

Fig. 2 Geographic region of interest where ocean data was collected. The bounding box has latitudes between 8°N and 36°S and longitudes between 26°W and 55°W, thus encompassing the Brazilian Exclusive Economic Zone [ 18 ]. More

Fig. 3 Example of the distances between elements of the same group ( l ( k,o i )) and distances to the closest neighboring group ( g ( k,o i )) used to calculate the silhouette coefficient. The closest neighboring group is the one with the smallest mean distances between its elements and o i ... More

Fig. 4 Plots of some of the outputs of the cluster analysis: ( a ) best number of groups for each geographical region; it is noticeable that most areas closer to the coast have two or three characteristic environmental conditions, ( b ) the silhouette coefficient shows low values for most regions,... More

Fig. 5 Plots of directions and intensities of the environmental agents in the largest cluster in each region: ( a ) mean wind directions and mean velocity in the largest clusters, units in the scale are given in ms −1 , ( b ) mean current directions and mean velocity in the largest clusters, units... More

Fig. 6 The geographic point considered in the regional analysis [ 18 ] More

Fig. 7 Results for the regional analysis, containing directional histograms, mean environmental conditions, and the monthly cluster occurrence. Directional histograms were made with the windRose script for MatLab. Wind and wave direction is the one from where these agents come. Current direction i... More