The Wind Farms and Atmospheric Physics track (formerly called Wind Physics) with its two sub-tracks “Wind Farms” and “Atmospheric Physics” provides the students with the scientific and technical knowledge necessary to work in research and development (R&D) as well as operation of wind power plants.
General profile of the Wind Farms and Atmospheric Physics graduates:
- Mastery of the governing concepts of meteorology and understanding of the mechanisms responsible for winds in the atmosphere, of the atmospheric boundary layer, and of the phenomena associated with its development
- Ability to model and analyse the interaction between topography, atmospheric boundary layer and energy yield as well as the interaction of atmospheric boundary layer and wind farms, including wake effects
- Ability to apply advanced flow measurement techniques, like lidar measurements, and computational fluid dynamics (CFD) tools both on engineering and fundamental research level
- Practical knowledge of field measurements and high-performance computations
Profile of the Wind Farm graduates:
- Mastery to perform site assessments, predictions of wind energy yield and wind farm design
- Ability to handle large amounts of measurement and operational data with modern data-driven methods
- Competences in operation and control wind farms to optimize revenues, structural safety, and grid integration
Profile of the Atmospheric Physics graduates:
- In-depth knowledge and understanding of fluid dynamic aspects of wind energy from a theoretical as well as experimental point of view
- Mastery of atmospheric turbulence and its impact on performance and design loads of wind turbines and wind farms
- Ability to develop analytical and numerical tools from fast to high-fidelity solutions
Courses
The Wind Farms and Atmospheric Physics student is required to accomplish an average of 30 ECTS per semester by taking mandatory as well as elective courses adding up to at least 120 ECTS for the complete master (DTU does not allow for obtaining more than 124.5 ECTS for the full master programme). Students need to get the approval of their complete course list by the track coordinators of both universities awarding the degree. An overview of the courses offered within the Wind Physics track is provided below.
Note: the listed electives courses are the only courses that are pre-approved by the track coordinators. Should students want to follow elective courses that are not already included in this list, they should request their track coordinators to review and approve the courses before enrolling for such courses.
Specialisation Wind Farms
30 ECTS courses @DTUClick here to find information about the courses at DTU. | ||
Mandatory | ECTS | |
| 46300 | Wind Turbine Technology and Aerodynamics | 10 |
| 46100 | Introduction to Micro Meteorology for Wind Energy | 5 |
| 41111 | Hydrodynamics II | 5 |
| 01617 | Introduction to Dynamic Systems* | 5 |
| 46200 | Planning and Development of Wind Farms (January) | 5 |
| *Course 01617 could either be taken in semester 1 or 3. | ||
30 ECTS courses @UOLClick here to find information about the courses at UOL. | ||
Mandatory | ECTS | |
| phy692 | Research Project EWEM* | 9 |
| phy616 | Computational Fluid Dynamics I + II (CFD I + II) | 6 |
| phy987 | Control of Wind Turbines and Wind Farms | 6 |
| phy670 | Fluid Dynamics II/ Advanced Wind Energy Meteorology | 6 |
| phy645 | Wind Physics Measurement Project | 3 |
| *Should be started in February (during the winter break) | ||
30 ECTS courses @DTUClick here to find information about the courses at DTU. | ||
Mandatory | ECTS | |
| 01617 | Introduction to Dynamic Systems* | 5 |
| 46400 | Wind Turbine Measurement Technique | 10 |
| 41129 | Turbulent Flows* | 5 |
Electives | ||
| 02450 | Introduction to Machine Learning and Data Mining | 5 |
| 02456 | Deep learning | 5 |
| 02610 | Optimization and Data Fitting | 5 |
| 46500 | Probabilistic Methods in Wind Energy | 5 |
| 31783 | Integration of wind power in the power system | 5 |
| 41316 | Advanced CFD | 5 |
| 42015 | Energy Economics | 5 |
| 42634 | HardTech Entrepreneurship | 10 |
| *Courses 01617 and 41129 could either be taken in semester 1 or 3. | ||
30 ECTS thesis (free mobility)*
| ||
Mandatory DTU | ECTS | |
| Master Thesis | 30 | |
Mandatory UOL | ||
| Master Thesis | 30 | |
*The master thesis is supervised by the two degree awarding universities | ||
Specialisation Atmospheric Physics
30 ECTS courses @DTUClick here to find information about the courses at DTU. | ||
Mandatory | ECTS | |
| 46300 | Wind Turbine Technology and Aerodynamics | 10 |
| 46100 | Introduction to Micro Meteorology for Wind Energy | 5 |
| 41111 | Hydrodynamics II | 5 |
| 46200 | Planning and Development of Wind Farms (January) | 5 |
Electives |
| ECTS |
| 02450 | Introduction to Machine Learning and Data Mining | 5 |
30 ECTS courses @UOLClick here to find information about the courses at UOL. | ||
Mandatory | ECTS | |
| phy692 | Research Project EWEM* | 9 |
| phy616 | Computational Fluid Dynamics I + II (CFD I + II) | 6 |
| phy987 | Control of Wind Turbines and Wind Farms | 6 |
| phy670 | Fluid Dynamics II/ Advanced Wind Energy Meteorology | 6 |
| phy985 | Stochastic Processes in Experiments | 3 |
| *Should be started in February (during the winter break) | ||
30 ECTS courses @DTUClick here to find information about the courses at DTU. | ||
Mandatory | ECTS | |
| 41129 | Turbulent Flows* | 5 |
| 46400 | Wind Turbine Measurement Techniques | 10 |
Electives | ||
| 02807 | Computational Tools for Data Science | 5 |
| 02427 | Advanced Time Series Analysis | 10 |
| 02610 | Optimization and Data Fitting | 5 |
| 10333 | Physics of Sustainable Energy | 5 |
| 46500 | Probabilistic Methods in Wind Energy | 5 |
| *Course 41129 could either be taken in semester 1 or 3. | ||
30 ECTS thesis (free mobility)*
| ||
Mandatory DTU | ECTS | |
| Master Thesis | 30 | |
Mandatory UOL | ||
| Master Thesis | 30 | |
*The master thesis is supervised by the two degree awarding universities | ||