Decision Analysis in Energy Planning with Focus on Wind Power
Syllabus, Bachelor's level, 1GV129
- Education cycle
- First cycle
- Main field(s) of study and in-depth level
- Wind Power Project Management G1F
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 30 August 2018
- Responsible department
- Department of Earth Sciences
Wind Power Basics, 7.5 credits, or Energy and Environment, 7.5 credits, or Wind Power Planning and Permission, 7.5 credits.
On completion of the course, the student should be able to:
- describe the multi-dimensional nature of renewable energy technologies
- decompose renewable energy projects into appropriate sustainability (energy, economic, technological, environmental, societal) criteria
- assess these criteria on a qualitative and/or quantitative basis and perform a comparative evaluation of potential competing projects
- account for fundamental aspects of Multi-Criteria Decision Analysis (MCDA)
- apply basic principles of MCDA in the case of wind power
The course covers integrated evaluation of Renewable Energy Technologies as well as decision Analysis in Renewable Energy Planning.
Multi-Criteria Decision Analysis: Methodological foundations and operational consequences. Application of basic MCDA methods in wind energy planning and decisions.
The course is given as a net-based course. Assignments are submitted to the e-classroom on the Internet and the student is given personal feedback by the tutor. A forum for discussion is available.
Written hand-in assignments 6 credits
A written essay 1.5 credits
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.
The course cannot be included in the same degree as 1GV089, Introduction to Decision Analysis in Renewable Energy Planning: the Case of Wind Power.