top of page
DigiWind_Logo_Navy.png

Lifelong Learning Module

Uncertainty Quantification for Industrial Wind Assessment 

Deliver robust, finance-ready wind assessments—master uncertainty quantification and reporting to meet industry standards and project demands 

About the Course

Do you want to gain the skills to rigorously quantify and report uncertainty in wind resource assessments for industrial applications? This course guides you through the fundamentals of uncertainty quantification (UQ) and its practical applications in wind resource assessment and site assessment, aligning with the latest IEC 61400-15 standard and the requirements of wind project financing. You will learn to classify sources of uncertainty, apply core mathematical concepts, calculate essential statistics, and effectively communicate uncertainty in professional wind assessment reports. By the end of the course, you’ll be equipped to deliver robust, transparent, and finance-ready uncertainty analyses for wind energy projects. 

Wind mill.jpg

After this course, you can

Use uncertainty source classification for industrial wind assessments.

Employ and understand the basic mathematics behind uncertainty quantification [UQ].

Calculate relevant statistics needed for UQ in wind.

Quantify uncertainty in the assessment of wind resources and siting.

Report uncertainty for industrial wind assessments.

  • 6–8 days (spread over 2–3 weeks), hybrid, full-time (7.5 hours/day) 

  • 1. Math level of undergraduate engineering degrees (algebra and basic calculus).

    2. Technical English.

    3. Basic computational ability (Matlab, Python, advanced Excel, or similar) .

  • The course is offered online with interactive live sessions and asynchronous lectures, or in a flexible hybrid format combining both. Assessment is based on assignments and practical exercises, supplemented by a brief oral exam for final verification. 

  • 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. 

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.

Mark C. Kelly.jpeg

Mark C. Kelly

Associate Professor

Mark C. Kelly is an Associate Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU), specialising in resource assessment and meteorology. With over two decades of experience in boundary-layer meteorology, computational fluid dynamics (CFD), and statistics, he has applied his expertise to wind resource assessment since 2008....

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.

Early Bird Discount

Register before

Save 
20%

Save 20%

Pre-register now

Bring a Colleague

Sign up together with a colleague and you’ll both receive

10%
Off

Invite your friends

Register as a pair

Team-Based Learning

Enroll a group of 3 or more participants from the same company and benefit from special team pricing.

Boost collaboration and apply knowledge directly in your workplace.

Join with your team

Contact us

You might be interested

Explore more courses that complement your learning journey.

djjxn7xwpaurz6sfmexylq.png

Dimensional Reduction Methods for Analysis and Modelling of Atmospheric and Wind Farm Flows

Duration

5h

Price

700dkk

More information
2021_08_10_Lightning_Mapping_Array-7497.jpg

Lightning Detection, Analysis, and Protection in Wind Energy 

Duration

12h

Price

1300dkk

More information
2021-Model-based-estimation-Feat2-520x780.jpg

Model-based estimation of remaining useful life 

Duration

9h

Price

980dkk

More information

You might be interested

Explore more courses that complement your learning journey.

WeChatd09816548c8651fab0531ac9f04690b5.jpg

Wind resource assessment for programmers (PyWAsP)

Duration

5 days

Price

5000dkk

Git-commands.jpg

Version control with Git

Duration

1 day

Price

3000dkk

710eff50-11f6-11ef-8f05-f99dbd7284e4.jpg

Wind turbine blade testing

Duration

4 days

Price

8000dkk

Pre-register here :)

For course-specific questions, please contact the course responsible Mark Kelly, Associate Professor at DTU Wind, MKEL@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

Select your course(s)
bottom of page