This 3-hour hands-on workshop introduces an end-to-end workflow for ocean renewable energy exploration using open-source geospatial technologies. Participants will learn how to acquire, process, and analyze marine and coastal spatial datasets to assess the potential for ocean renewable energy sources. Emphasis is placed on integrating heterogeneous data sources such as bathymetry, sea surface conditions, wind fields, and marine constraints (e.g., shipping lanes, protected areas), using reproducible and scalable geospatial pipelines.

Through guided exercises in Python, attendees will work with open datasets and libraries for raster and vector processing, spatial analysis, and interactive visualization. The workshop demonstrates techniques for deriving key indicators for resource potential, economic, environmental, and physical factors. Participants will then synthesize these components into a simple decision-support model to identify and rank candidate zones for ocean renewable energy deployment.

By the end of the session, participants will gain practical experience in operationalizing open geospatial data for marine energy applications, along with reusable workflows and best practices for transparent, data-driven analysis. The workshop is designed for practitioners, researchers, and developers with foundational knowledge in Python and GIS who aim to expand into ocean energy analytics and spatial decision-making.