About the Course
This course equips wind engineers with practical, data-supported methodologies and tools to estimate the remaining useful life (RUL) of existing assets. By combining numerical models with historical operational data, this data-driven procedure creates an estimation of the actual consumed fatigue lifetime of an asset and supports informed lifecycle decisions. To enable participants to gain hands-on experience, the coursework leverages outputs from DTU Wind software tools, where open-access tools are provided to the participants, and results from proprietary tools (or data-driven surrogate model versions of them) are also provided.
After this course, you can
Apply uncertainty quantification and propagation techniques using surrogate models.
Process and analyse SCADA data for wind turbine operations.
Use methodologies to recover fatigue load history from historical data, employing digital twins and virtual sensing techniques.
Identify relevant end-of-life decisions for wind assets and assess their feasibility based on economic and regulatory criteria.
6 weeks, online, part-time
1. Solid understanding of the wind energy sector and wind turbine design or engineering processes, typically gained through a master’s degree in wind energy or equivalent industry experience.
2. Familiarity with Python programming.
The course follows a project-based learning format, where participants work with a real load model or dataset from an existing wind turbine, a relevant SCADA dataset, and regulatory information for a specific location. The program begins with lectures and tool demonstrations – including an introduction to the problem - followed by guided project work. In the final stage, participants present their results and justify their chosen methodologies. Both synchronous and asynchronous teaching methods are used.
Evidence your learning with a Certificate of Achievement from the DTU on successful completion.
This course will be stackable with other LLL courses that will be developed by DTU Wind, to form certain specialisations or micro-degrees. For instance, we offer a series of courses that can be combined to form the specialisation “Data-Driven Decision Making for Wind Farm Operations.” This specialisation includes four courses, with “Model-Based Estimation of Remaining Useful Life” serving as the entry point.
Key Information
Meet your teachers
Learn from world-class researchers and passionate educators who bring cutting-edge expertise and hands-on experience into the classroom.
Nikolay Dimitrov
Senior Scientist
Nikolay Dimitrov is a Senior Scientist in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). He is an expert in wind turbine reliability, structural health monitoring, and uncertainty quantification, with a focus on developing advanced digital twins and...
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Mohit Sharma
Senior Vice Presiden at Marubeni Corporation
Singapore
“Solid and comprehensive overview!”
"For anyone considering a career transition, this course offers a solid and comprehensive overview of wind energy. It equips you with the essential knowledge and skills needed to smoothly transition into the wind energy field."
Sophie Yin
Renewables Engineer, Woodside Energy
Australia
“Flexible learning with outstanding support!”
“What I enjoy the most about the programme is the flexibility. I have been able to access the content around other aspects of my life, which has been very valuable. Also, the lecturers have made them available to the students online to answer questions and actually provide knowledge beyond the course, which I really enjoyed.”
Fahd Outailleur
Head of Engineering at Enel Green Power
Morocco
“Europe’s leader in wind energy”
“I chose to enrol in this wind energy master's program because DTU is the leading technical university in Europe, renowned for its specialization in wind energy. The program reflects the state of the art of the sector. Before joining, I knew some of their software programmes like WAsP and the Global Wind Atlas. So I was confident about the quality of the training.”
DTU Student Testimonials
Discover what DTU students have to say about their journey, their experiences, and the skills they’ve gained.
Financing Options
We offer a range of discounts and packages to make the programme more accessible.
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Team-Based Learning
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For course-specific questions, please contact the course responsible Nikolay Dimitrov, Senior Scientist at DTU Wind, nkdi@dtu.dk
Didn't find what you were looking for? Or need a customised training solution for your company? Contact Karsten Kryger, Coordinator of Lifelong Learning at DTU Wind, kkry@dtu.dk