
About
Ju Feng is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in Wind Energy Systems, Wind Farm Optimization, and Control Strategies. He contributes to research in Floating Offshore Wind Farms, Multi-Disciplinary Optimization, and Noise Propagation. His work includes developing simulation tools, wake models, and control frameworks for wind farms in complex environments.
Research Interests:
- Optimization of wind farm design and operation
- Advanced wake and flow modeling
- AI-driven wind energy solutions
- Noise control and acoustic propagation
- Multi-fidelity/multi-disciplinary modeling
- Cost-effective wind farm technologies
Publication Trends: Ju Feng's recent work (2022-2024) focuses on floating offshore wind farms, noise constraints, and multi-disciplinary integration. Older articles (2012-2017) emphasize control algorithms, wake modeling, and optimization frameworks.
Advising:
- Supervising PhD Student Wang R. (AI-Augmented Wind Farm Design Optimization, 2025-2028)
- Co-supervising Nyborg C. M. (Noise Control in Wind Farms, 2019-2023)
Collaboration Network: Active in international projects like DecoWind, ModFarm, and FarmConners. Collaborates with institutions such as DTU Wind Energy and researchers including Shen W. Z., Réthoré P.-E., and Bredmose H..
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