Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Optimization of Offshore Wind Farm Locations Using Gis-Based Tools

Version 1 : Received: 31 October 2023 / Approved: 1 November 2023 / Online: 1 November 2023 (03:05:41 CET)

A peer-reviewed article of this Preprint also exists.

Przewoźniak, M.; Wyrwa, A.; Zyśk, J.; Raczyński, M.; Pluta, M. Conducting a Geographical Information System-Based Multi-Criteria Analysis to Assess the Potential and Location for Offshore Wind Farms in Poland. Energies 2024, 17, 283. Przewoźniak, M.; Wyrwa, A.; Zyśk, J.; Raczyński, M.; Pluta, M. Conducting a Geographical Information System-Based Multi-Criteria Analysis to Assess the Potential and Location for Offshore Wind Farms in Poland. Energies 2024, 17, 283.

Abstract

The aim of this study was to determine the technical potential of the Polish Exclusive Economic Zone and to identify potential areas for offshore wind development. The paper proposes a GIS-based methodology in which a unique set of constraint-related criteria was employed to select the bests sites. These criteria included wind velocity, water depth, distance from nature conser-vation areas, distance from submarine cables and gas pipelines, distance from shipping routes, distance from fishing areas, distance from shipwrecks, distance from coastline. The Analytic Hi-erarchy Process was employed to indicate the best locations. Accordingly, the total suitable marine area of 16218.67 square kilometers was divided into three parts, in which the highly suitable area accounted for 17.55%, the moderately suitable area was 48.56%, and the marginally suitable area was 10.26%. Two different spatial configurations for the deployment of individual wind turbines were considered to assess the offshore wind potential. First configuration could accommodate 3664 turbines with overall electrical capacity equal to 54.96 GW, whereas the second one 2347 turbines with overall electrical capacity equal to 35.2 GW. The technical potential only in highly suitable areas was equal to 15.24 GW and 9.15 GW, respectively. The results were presented in the form of maps over the domain covering with spatial resolution of 1 km x 1 km.

Keywords

offshore wind; technical potential; the Baltic Sea; Poland; QGIS; Analytic Hierarchy Process

Subject

Engineering, Energy and Fuel Technology

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