In this course, you will be introduced to numerical tools and modelling in wind energy. You will get to know the rules and guidelines used when working with numerical tools. You will learn about different toolboxes, and you will be working with best practices within engineering.
During the course, you will furthermore work with the following:
Physical vs. model world
Measurements vs. modelling
Resolution and scale in modelling
Verification and validation of models
Sensitivity analysis
Uncertainty quantification
During the course, you will select and receive specific training in one of the following three numerical toolboxes:
Wind Resource and Site Assessment for Wind Farm Design (WAsP, WAsP Engineering, Windfarm Assessment Tool)
Computational Fluid Dynamics (EllipSys2D/3D)
Loads and Aero-elasticity of Wind Turbines (HAWC2)
You will be trained in the software of the toolbox you choose through exercises and quizzes. Each toolbox contains a comprehensive case study in which all the elements are used together.
Learning objectives
After completing the course, you will be able to:
List the different numerical tools used in DTU Wind Energy and their typical applications.
Explain the basics of selected tools and their operational envelopes.
Illustrate the concept of model verification and validation.
Choose a numerical tool for a given application.
Apply a selected tool on a predefined setup.
Set up a selected tool for solving a given problem.
Analyse the sensitivity of different setups for a given case.
Select the optimal setup for a given problem.
Evaluate the uncertainties of the results predicted by a selected tool.
We recommend that you follow this course just before writing your final project.
Admission
Admission to the course requires a B.Sc. or B.Eng. degree or higher and at least, two years of relevant working experience.
The relevant working experience could be – but is not necessarily restricted to – employment in:
The wind energy industry.
Oil and gas companies.
Shipping companies.
Companies performing environmental assessment.
Public agencies with responsibilities related to engineering and natural sciences.
Since the programme is taught in English, you must have proficient English skills.
Recommended prerequisites In addition to the admission requirements above, we strongly recommend that you have mathematics and programming skills equivalent to B.Sc. or B.Eng. level or higher.
Technical requirements You will need a PC with a stable internet connection to follow this online course.
Course platform All master courses run on the web based course platform DTU Learn. Once you access the platform, all the courses you are signed up for, become available for you – after the semester start day.
Learning online
The course is divided in 13 modules, one per week in the semester. Each module includes a combination of video lectures, exercises, quizzes and/or reading material depending on the module. This course material is available any time to allow for flexible studying conditions.
Furthermore, you are offered weekly live Q&A sessions to get in dialogue with the course lecturer and fellow participants.
Exam
This course is concluded with a written exam, conducted online.
Sign up and prices
You can follow the course as a single course or as part of the programme Master in Wind Energy.
Single course
If you wish to follow this course as a single course, please add the course to the basket and fill in the required information.
Part of the Online Master of Wind Energy
You can study this course as part of the Master in Wind Energy. If you wish to follow the course as part of the full Master’s programme, please go the the site for the Online Master in Wind Energy, click the sign up button, and follow the instructions.
Prices
Price
Courses of 5 ECTS points
15,000 DKK
Final Project of 15 ECTS points
38,000 DKK
Full Master’s programme
173,000 DKK
The state subsidy for part-time education is determined in the Finance Act for one year at a time. DTU reserves the right to make any adjustments to the participant payment.
Online Course
Master
English
5 ECTS
Master
English
60 ECTS
Online Course
Master
English
5 ECTS
Online Course
Master
English
5 ECTS
