A review and analysis of the uncertainty within cost models for floating offshore wind farms

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Sykes, V. and Collu, M. and Coraddu, A. (2023) A review and analysis of the uncertainty within cost models for floating offshore wind farms. Renewable and Sustainable Energy Reviews, 186. 113634. ISSN 1879-0690 (https://doi.org/10.1016/j.rser.2023.113634)

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Abstract

The development and deployment of offshore wind farms in the last decade have seen a dramatic increase, now totalling 743 GW globally (Global Wind Energy Council, 2022). This rapid increase is expected to further continue now with the potential to explore deeper sites with the adoption of floating offshore platforms. Proof of this growth has recently been seen with an impressive 60% of the 25 GW Scotwind leasing sites planning to install floating platforms in the next ten years (Crown estate, 2022 [1], [2]). One main disadvantage of the advancement offshore is uncertainty and the potential increase in costs due to more complex structures and greater distances to shore. The cost increase for floating platforms is expected to be two to three times more expensive than traditional fixed support structures (Eric Paya, 2020). Thus, this work aims to review existing analytical cost models found within the literature to best determine their level of accuracy and compare the assumptions which have been made. Leading on from this review, a collection of all data found in the reviewed literature is presented, which leads to a data analysis that determines the variation across literature and the potential causes. Assessing this literature shows a wide range of model considerations, often leading to assumptions with little or no data to be validated against. Hence, high levels of variation and a lack of consensus on the cheapest floating platform were noted. All aspects of costs related to floating offshore wind systems vary heavily throughout the literature.

ORCID iDs

Sykes, V., Collu, M. ORCID logoORCID: https://orcid.org/0000-0001-7692-4988 and Coraddu, A. ORCID logoORCID: https://orcid.org/0000-0001-8891-4963;
CORE (COnnecting REpositories)