Our Research Focus
Optimized O&M Planning
At the forefront of our research is the development of optimized operations and maintenance (O&M) planning strategies for wind energy systems. Through advanced analytics and predictive modeling, we aim to maximize turbine uptime, minimize downtime, and optimize resource allocation, ultimately enhancing the overall performance and profitability of wind farms.
Prognostic Maintenance Models
Our research endeavors focus on the development and implementation of prognostic maintenance models for wind turbines. By leveraging real-time data, machine learning algorithms, and condition monitoring techniques, we strive to predict potential failures before they occur, enabling proactive maintenance interventions and minimizing costly downtime.
Cost-Effective O&M Strategies
We are dedicated to identifying and implementing cost-effective O&M strategies that drive efficiency and sustainability in wind energy operations. From condition-based maintenance approaches to innovative supply chain management solutions, our research aims to reduce O&M costs while maintaining high levels of reliability and performance in wind farms.
Why Join Awesome H2020?
- Lead Industry Change
- Advance Your Career
- Contribute to Sustainability
Training and Development
Sustainable Training Network
Our sustainable training network offers hands-on programs to equip professionals with skills for the wind energy sector.
Personal Development Career Plans
Tailored career plans empower participants to achieve their goals within the industry.
Exposure to Diverse Environments
Engage with experts and gain global perspectives through exposure to varied environments.
Recent Post
Comparing Windmills and Advanced Wind Turbine Technology: Choosing the Right Solution
Addressing Critical Challenges in Wind Energy: Solutions for Sustainable Growth
