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 industry and the academic community.
PO314: Integrating Offshore Wind Energy into AI Data Centres: A Conceptual Digital Twin Approach
Yağmur Kolancı, Undergraduate Student - Computer Engineering & Electrical-Electronics Double Major, Zonguldak Bülent Ecevit University
Abstract
Artificial Intelligence (AI) data centres have rapidly growing energy demands, increasing operational costs and environmental impacts. This study explores a conceptual approach to powering AI data centres predominantly with offshore wind energy. A digital twin model was developed to conceptually align wind energy generation with data centre load profiles. Illustrative scenario analyses indicate that a typical offshore wind farm could potentially supply a substantial share of the energy requirements for a mid-sized AI data centre. Under an assumption of 100% wind energy supply, carbon emissions could be reduced by an estimated 90–95% compared to conventional grid electricity. The digital twin provides a framework for evaluating the degree of energy matching between wind generation and AI demand, thereby supporting decision-making on renewable energy integration. This approach highlights a feasible, scalable, and low-carbon pathway for sustainable high-performance computing.
No recording available for this poster.
