Posters | WindEurope Annual Event 2023

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We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics and provide an opportunity for delegates to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please, join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!

PO033: Technical-economic feasibility study of offshore wind farms: a review of applied approaches

David Melo, Reseacher, Creation Research Group - UFRN


Offshore wind farm projects require intensive capital investment throughout their life cycle. Linked to the high investment, the level of risk in which this type of project is involved is also highlighted, mainly due to the influence of uncontrollable environmental factors (such as the characteristics of the wind resource). In this sense, this research aims to analyse the methods of development of these studies and identify the approaches to develop a technical-economic feasibility study. The method used for the development of this study was the evidence based approach with Sistematic Literature Review about technical-economic feasibility of offshore wind farms. From the combination of different keywords (e.g. offshore wind energy, offshore wind farm, offshore wind power, feasibility, economic, viability and valuation), materials such as theses, dissertations, scientific articles and technical reports about the subject were identified. As result, four approaches were mapped: Top-Down, Bottom-Up, parametric cost and geographic information system (hybrid model). Open-source geographic information systems tools can be robust resources to analyze the technical-economic feasibility of offshore wind farms. The application of hybrid models involving georeferenced data and economic models can be applied in the analysis of offshore wind projects, allowing to obtain more accurate results.

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