The Puerto Rico Ocean Energy Atlas
The Puerto Rico Ocean Energy Atlas was funded by the The Puerto Rico Science, Technology and Research Trust. Administrative, financial and technical support was also provided by CARICOOS. As part of the study we have conducted numerical simulations of waves and currents to produce detailed maps and data products that characterize important hydrodynamic parameters related to marine hydrokinetic energy. These data and products can be used to examine the feasibility of developing small scale or utility scale ocean energy projects in Puerto Rico. This analysis comes at a very important point in time for our Island given the importance of transitioning to clean energy sources in the face of climate change and steadily increasing fossil fuel costs. It is the hope of the authors that this atlas will help planners, engineers, entrepreneurs, and public officials, among others, with the necessary decision making to determine the future of ocean energy generation in Puerto Rico. For technical or data access questions please contact the Principal Investigator Miguel F Canals Silander via email: miguelf.canals@upr.edu.
WAVE AND CIRCULATION MODEL SETUP
This page includes a brief technical description of the SWAN AND FVCOM model setup, mesh, resolution, and boundary conditions.
WAVE ENERGY MAP PRODUCTS
This page includes maps of significant wave height, wave power, and other spatially-variable wave energy quantities.
WAVE AND CURRENT MODEL VALIDATION
Explore model-data comparisons using CARICOOS buoy data and other sensor deployments
WAVE ENERGY: SEASONALITY
Maps of the seasonal variability of significant wave height, wave power, and other wave energy quantities.
Wave Energy MODEL POINT OUTPUT
In this web interface, time series data and graphical products are provided at buoy locations and points along the 20-meter and 100-meter depth contours.
OCEAN CURRENT ENERGY AND OTEC MAPS
This page includes maps of mean surface currents, mean in-stream ocean current power density, and OTEC-relevant water column temperature differences for calendar year 2019.
