Wave Energy Resource Assessment

Dear colleagues,

The development of the wave energy industry needs to be done in areas where the conditions allow economic transformation of wave energy into energy. The development of cost-effective solutions depends on the efficiency of the device to be used, on the boundary conditions such as the connection to the electric grid, and the proximity of maintenance and support facilities, but to a great extent, it also depends on the wave energy resources available at the location, whose assessment is thus a critical step in the process. The initial steps in this resource assessment have been based on buoy-measured data and have gradually evolved toward the use of numerical wave models that have the possibility of detailed coverage of the geographical area under consideration. Use has been made of global models and of local area models, and studies of validation of models and the choice of their appropriate parameterization in different conditions have become available. Updated versions of various models have become available, finer resolution data have also become available, and thus, the skill of resource predictions has increased. A more recent concern is the effect that climate change might have on resource assessments, a topic that is certainly gaining importance. In the end, there is interest in determining how different resource assessments influence the lifecycle economy of the projects, and thus, the incorporation of resource assessments in economic viability studies of various sitings is a related topic of interest.

This Special Issue will cover methods of wave resource assessment, including developments of methods or improvement in predictions due to improved codes, to higher resolution, improved calibrations or other means, improved knowledge of specific geographical areas, as well as its impact in the expected energy produced and its cost.

Prof. Dr. Carlos Guedes Soares
Prof. Dr. Liliana Rusu
Guest Editors

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• wave energy assessment
• statistics of wave properties
• resource variability
• long-term extrapolations
• extreme value analysis
• influence of climate change
• optimal location
• influence of resources on economic viability