2026-10-15T08:50:31Z https://data.mendeley.com/oai

oai:data.mendeley.com/26x9nd8mv9.1 2025-04-08T07:18:41Z

Guevara, Cesar Multi-Criteria Algorithm for Optimal Site Selection of Floating Offshore Wind Farms and Maintenance Route Design Using TSP Mendeley Data In this study, we propose an integrated framework that leverages GIS, multi-criteria decision-making, and route optimization techniques to identify the most promising deployment sites. Our algorithm systematically evaluates technical, environmental, logistical, and economic parameters—such as wind speed, water depth, marine restrictions, and port proximity—to determine areas with high energy potential. Experimental results from diverse Spanish coastal sectors reveal notable variability in wind power density and operational logistics. In certain regions, elevated wind power densities compensate for smaller installation areas, while expansive zones with moderate resources can yield comparable total output. Floating Wind Turbine Dataset doi:10.17632/26x9nd8mv9.1 oai:data.mendeley.com/26x9nd8mv9.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/26x9nd8mv9 2025-04-08T07:18:41Z