Course Overview
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.
Course Highlights
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 and 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) and 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.
Video Overview
MAIN GOAL
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Learning Outcomes
After completion of this course, you will gain the ability 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.
Meet Your Instructors
Senior Researcher
Admissions
Entry Requirements
- + B.Sc. or B.Eng. degree or higher and at least, two years of relevant working experience.
- + We strongly recommend that you have mathematics and programming skills equivalent to B.Sc. or B.Eng. level or higher.
- + If you have few or no programming experiences, we recommend following our Scientific Programming for Wind Energy course as early as possible.
- + You will need a PC with a stable internet connection to follow this online course.
Teaching and Assessment Methods
- + Video lectures
- + Exercises
- + Quizzes
- + Reading material
- + Weekly live Q&A sessions
- + Online conducted exam
Application Deadline: Visit institution page at the link below.
Practical Notes
- + 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.
Fees & Funding
Tuition Fees
Visit institution page for information on fees and application deadlines.
Click here to visit institution page
Course Info
Contact Niels Troldborg for any additional information relating to this course.
