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Data · dataset · 2025

Multi-Criteria Algorithm for Optimal Site Selection of Floating Offshore Wind Farms and Maintenance Route Design Using TSP

Listed in Teesside University Research Data Repository

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.

Description

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.

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 6 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/26x9nd8mv9.115 h agoJSON v1
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access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title