Aerodynamics

Previous knowledge

 * Programming: Essential for certain courses. Very useful at DTU as most courses involve programming. MATLAB or Python would be best, little bit of C wouldn't go amiss though. Should be possible to learn during the first semester.
 * Basic aerodynamics and fluid mechanics: Not a must but would help to understand concepts more easily.
 * CFD: Not a deal breaker but would definitely be a plus.

Mandatory Courses

 * Wind Turbine Technology and Aerodynamics (46300 - 10 ECTS): This is a cool course to be a part of. This is one course which is mandatory and common for all tracks of EWEM. It gives a good overview of all the various concepts involved in the design and functioning of a wind turbine. The course is divided into different sections with two assignments. One part of the course is all about the mechanical concepts of a wind turbine and the part is all about the electrical concepts. This course demands a decent knowledge and experience in programming. Two 4hr blocks a week and the lecture mainly comprises of introduction to the concepts and working on assignments or exercises for the rest of the period. Lecturer is technically sound with the concepts and gives proper guidance and assistance with the assignments and exercises. Evaluation is based on the two assignments and a 4hr long exam based on the assignment and exercises done during the lecture sessions.


 * Advanced Fluid Mechanics (41320 - 5 ECTS): Decent course on general fluid mechanics problems: governing equations, vorticity, ideal flow, laminar flow, boundary layers, instabilities.  Lectures are pre-recorded and can be watched at any time (very easy to fall behind and lecturer speaks very slowly). One 4hr block a week. Lecturer starts with brief recap of video lecture followed by exercises from the book (Kundu Fluid Mechanics 6th ed.), there is also an ungraded quiz at the end. Assessment consists on two individual exercises/reports and one final MCQ test.


 * Modelling of Turbulent Flows (special course - 5 ECTS): This used to be CFD but that was shifted to the spring semester in 2020. Now this course is very very special. You will learn a lot if you follow it but you will spend astronomically more hours than required for 5 ECTS. Now this is not a reason to try and avoid it (ok maybe it is), if you regularly work on it and ask for help from the lecturer you should be fine. There is one 4hr lecture a week on topics such as: CFD, RANS, LES, OpenFoam, turbulence models, transition, finite differencing. The class was small so it was possible to choose some of the contents of the course and that is what makes it unique. No other single course could give you all this knowledge in one semester. The grade is given based on 3 group assignments and one oral exam.

Elective Courses

 * Planning and Development of Wind Farms (46200 - 5 ECTS): A 3 week course provided in January and based on popular opinion it is by far the most enjoyable course in DTU. During the course it is 1 week of all lectures followed by 2 weeks of work on a project. The course deals with the design, development and management of a wind farm using software tools and also gain knowledge with the economics of a wind farm. Also provides insight on the environmental, societal and legal impacts of a wind farm in a particular region. Course is taught by different lecturers and field experts in each field. Assessment is based on a 1hr MCQ quiz, presentation about the chosen project and a 30-40 page long report about the project. This course requires a lot of team work and will give practical exposure about what effort goes into planning and commissioning of a wind farm. The course also includes one day field visit to an established wind farm in Denmark. (This however could not happen in 2021 due to COVID-19 restrictions)


 * Introduction to machine learning and data mining (02450 - 5 ECTS): Great course to get machine learning basics. Starts with some probability, statistics and data visualisation. Most of the course focusses on supervised learning (classification and regression) but there is a small part on unsupervised learning as well. One 4hr block a week with lecture and exercises. Exercises are both theoretical MCQ questions and coding examples. The choice between Python, Matlab or R is given. Grade is given based on two project reports and on final MCQ theory exam.


 * Turbulent Flows (41129 - 5 ECTS): The course gives a nice insight into the physics behind turbulent flows. This course acts symbiotically with Modelling Turbulent Flows course and therefore provides good foundation and support for conceptual understanding. One 4hr block a week and the course is taught by two lecturers and is very well balanced and managed. Assessment is based on 4 assignments done in groups and a 20 minute oral exam at the end of the course. All assignments and lectures are based on a book recommended by the lecturers at the beginning of the course.


 * Probabilistic Methods in Wind Energy (46500 - 5 ECTS):

Mandatory courses

 * haha

Elective courses

 * lol

Mandatory courses

 * banter

Elective courses

 * etc.