Offshore Wind Farms in Norway : A Spatial Multi-Criteria Analysis for Optimal Site Location

University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

Abstract: Recognizing the imperative transition towards renewable energy sources to combat climate change, this study explores the outlooks for offshore wind power in Norway, a country endowed with extensive coastlines and favourable wind conditions. The thesis sets out to support decision-making processes by synthesizing contemporary research and applying context-specific insights to the southern half of the Norwegian economic zone (NEZ) into a comprehensive Spatial-Multi-criteria Analysis (SMCA). Through meticulous research, sub-criteria relevant to the geographical information systems-based SMCA are identified across four major categories: Wind, Techno-economic, Environ-mental, and Social considerations. Through the adoption of the Analytic hierarchy process (AHP) framework, the analysis generates suitability maps for all identified sites within the NEZ, facilitating a ranking procedure for both floating and bottom-fixed sites. By, among else, incorporating potential grid connection points and distance to suitable ports, this thesis offers a novel contribution to the limited body of literature on offshore wind power SMCA in the NEZ. Additionally, through state of the art data sets on mammal presence and cumulative impact on seabirds, the study not only advances the academic discourse on offshore wind power planning but also offers practical tools for policymakers and industry practitioners. The findings underscore the complexity of offshore wind farm siting, highlighting the impor-tance of a balanced consideration of various criteria to ensure sustainable and economically viable energy production. Significantly, amongst sites suitable for floating foundations, Ves-tavind A emerges as the prime location for wind farm development. The bottom rankings, however, are claimed by different sites depending on which weighting schema is applied. For future studies on the topic, important building blocks include incorporating data on seabed conditions such as geology and sloping into the SMCA alongside including more sub-criteria linked to met-ocean conditions (e.g., cut-out periods of the wind turbines caused by extreme weather).

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