Riccardo Riva

Riccardo Riva is a Special Consultant at the Department of Wind and Energy Systems at the Technical University of Denmark, specializing in wind turbine engineering and aeroelastic stability analysis. His work focuses on combining high-fidelity numerical modeling with machine learning for wind farm optimization, structural response prediction, and control system development.

• Key research areas: Wind turbine structural dynamics, surrogate modeling, and data-driven control systems
• Active supervisor in 4 PhD projects (2024-2027) related to wind farm co-design and structural modeling
• Recent publications address uncertainty propagation, vortex-induced vibrations, and multi-fidelity modeling approaches

His research contributes to UN Sustainable Development Goals 7 (Affordable Energy) and 9 (Infrastructure Innovation). Current projects emphasize digital twin technology and floating offshore wind farm optimization.