Posters
Come meet the poster presenters to ask them questions and discuss their work
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 will give delegates an opportunity 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!
PO027: Application of multicriteria decision analysis and GIS in the technical-economic feasibility study of offshore wind farms: a review of the main criteria
David Melo, Researcher, Creation Research Group (UFRN)
Abstract
The development of offshore wind farm projects requires intensive use of capital during their life cycle, especially in the initial phases where the largest investments are made with the purchase of turbines, foundations, and transmission systems (cables and substations). Currently, projects have faced challenges related to the increase in international prices of raw materials, which directly affects the price of the main components. On the other hand, economic factors are not the only ones that pose risk to the development of offshore wind farms. Other factors can be identified during the area selection process, reducing project risks. In this process, the combination of multi-criteria decision analysis (MCDA) methods and the use of geographic information systems (GIS) software can provide a robust solution. Therefore, this research aims to identify the main factors that must be considered in the project area selection phase to reduce development risk. To develop this study, the bibliographic review method was applied with a combination of keywords (e.g. offshore wind, GIS, MCDA, multi criteria decision analysis). From reading the scientific articles, the main factors were mapped, which can be classified into: economic factors, technical factors, environmental factors, socioeconomic factors and locational factors. The combination of multi-criteria decision analysis methods and geographic information system software presents a robust solution for selecting areas that present a lower risk for the development of offshore wind farms. Furthermore, it can be concluded that the mapped factors are normally made available by government bodies, providing greater reliability to the analyzed data, allowing investors to make decisions with lower risk.
