Posters | WindEurope Annual Event 2026

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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 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 industry and the academic community.

PO350: A framework to offshore wind site selection using digital twin models: bridging technical, social, and environmental dimensions

Matheus Carlos, Researcher, Creation Research Group/UFRN

Abstract

The growing demand for sustainable energy has positioned offshore wind power as a strategic alternative to cut carbon emissions and diversify the energy mix. Yet large-scale deployment faces socio-environmental and regulatory challenges. In this context, integrating advanced digital technologies such as Digital Twin (DT) offers a promising solution to improve monitoring, enhance efficiency, and fill governance gaps in offshore wind farm planning. This study presents an approach to offshore wind farm planning by integrating DT technology through a systematic literature review and a case study from Uruguay. A five-step research procedure was employed: (1) an exploratory phase to define the scope and key concepts; (2) a systematic literature review (SLR) on offshore wind and Digital Twin, considering technical, environmental and social dimensions; (3) a case study analysis of a Uruguayan offshore wind existing site selection framework originally structured in six steps; (4) identification of steps for integrating DT technology; and (5) proposal of an enhanced eight-step offshore wind site selection framework. The key result of the study is the proposal of an adapted eight-step offshore wind site selection framework: (1) present preliminary area; (2) evaluate distance from the coast and marine activities in the area; (3) evaluate legal compatibility; (4) contemplate public perception; (5) undertake technical characterization of the site; (6) undertake biological characterization of the site; (7) integrate these factors into a DT model to digitally replicate the offshore wind system; and (8) simulate scenarios and conduct impact assessments to predict technical, environmental, and social outcomes, providing a dynamic, data-driven decision-making tool. The study identifies regulatory gaps and limited social focus in current DT applications, proposing an enhanced framework that integrates technical, environmental, and social dimensions to guide research and support adaptive, inclusive, and data-driven offshore wind development. This framework offers actionable guidance for site selection and project optimization

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