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Dalibor Cavar is a prominent researcher at the Technical University of Denmark, specializing in wind energy forecasting and offshore wind energy. With a strong background in computational fluid dynamics (CFD) coupled with numerical weather prediction (NWP), Cavar has significantly contributed to projects aimed at optimizing wind energy production. His expertise aligns with the UN Sustainable Development Goals, focusing on innovative solutions to enhance renewable energy systems. Over the past five years, he has led several notable projects, including the development of hybrid power plants and satellite remote sensing applications, where he collaborates with students and project managers to explore advancements in wind resource assessment. Cavar is also active in the academic community, presenting at conferences and supervising PhD candidates. His research continuously seeks to improve methodologies and technologies in the field of wind energy, demonstrating a commitment to sustainability and scientific development.
Technical University of Denmark • Roskilde, Denmark
Leading research and teaching in wind energy technologies and sustainable energy systems.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.