Wind Farm Site Optimisation
Syllabus, Master's level, 1GV099
This course has been discontinued.
- Code
- 1GV099
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Energy Technology with focus on Wind Power A1F
- Grading system
- Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
- Finalised by
- The Faculty Board of Science and Technology, 28 April 2015
- Responsible department
- Department of Earth Sciences
Entry requirements
Bachelor's degree in Engineering, Science or Social Sciences. Introduction to Wind Power, 5 credits, Spatial Planning for Wind Energy Development, 5 credits, Management of Wind Farm Development, 5 credits and Advanced Energy Estimations, 5 credits.
Learning outcomes
After having passed the course the student should be able to:
- apply clean energy project analysis software for a particular wind farm
- optimise a wind farm for best energy output based on wind energy estimations and simulations
- assess aspects related to site options
- evaluate wind projects in a number of energy, economic, environmental, societal and technological criteria based on previous knowledge
- compare a number of competing wind power projects and decide the optimum wind power project for a given site
Content
Optimisation of wind farms based on technical, economical, environmental and social aspects will be studied. These aspects of a wind farm project will also include consideration of infrastructure such as grid and roads. Multi-Criteria Decision Analysis (MCDA) methods will be introduced as an appropriate operational tool in wind farm site optimisation and will be applied in a particular project.
Instruction
The course includes lectures, seminars and group work. Attendance is compulsory at most scheduled events.
Assessment
Written project report, 5 credits.