GIS-Based Optimal Siting of Offshore Wind Farms to Support Zero-Emission Ferry Routes

Author:

Karountzos Orfeas1ORCID,Giannaki Stamatina1,Kepaptsoglou Konstantinos1

Affiliation:

1. Laboratory of Transportation Engineering, Department of Infrastructure and Rural Development, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 157 80 Athens, Greece

Abstract

To achieve net zero emissions from ships by 2050 and align with the IMO 2023 GHG strategy, the maritime industry must significantly increase zero-emission vessels by 2030. Transitioning to fully electric ferry lines requires enhanced energy supply through renewable energy sources (RES) for complete GHG mitigation and net-zero emissions. This study presents a GIS-based framework for optimally selecting offshore wind farm locations to meet the energy demands of electric ferry operations along coastal routes. The framework involves two stages: designing feasible zero-emission ferry routes between islands or to the mainland and identifying optimal offshore wind farm sites by evaluating technical, spatial, economic, social, and environmental criteria based on national legislation and the academic literature. The aim is to create a flexible framework to support decision making for establishing sustainable electric ferry operations at a regional level, backed by strategically located offshore wind farms. The study applies this framework to the Greek Coastal Shipping Network, focusing on areas with potential for future electrification. The findings can aid policymakers in utilizing spatial decision support systems (SDSS) to enhance efficient transportation and develop sustainable island communities.

Publisher

MDPI AG

Reference52 articles.

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