TEK5450 – Introduction to the Energy-Climate Interface: How Does the Climate Impact Future Renewable Energy Systems?
Course content
The course gives an overview of the role of climate variability and climate change for future decarbonized energy systems. It covers the basics of climate models and data, and how they are used to understand energy system risks.
The course is suited as a starting point for further specialization (e.g., via a master's thesis) and involves practical data-based risk analysis exercises.?
Learning outcome
After completing the course, you
- will be able to list and discuss the main climate risks for the energy sector?
- can comment on the different types of climate data and their respective strengths and weaknesses?
- have basic skills to analyze spatio-temporal climate data in Python?
- can read, summarize, and present scientific publications?
- will have experience using weather and climate data in simple energy system analysis?
- have a basic understanding of the limits of current climate and energy modelling tools?
Admission to the course
Students admitted at UiO must?apply for courses?in Studentweb.?
Nordic citizens and applicants residing in the Nordic countries may?apply to take this course as a single course student.
If you are not already enrolled as a student at UiO, please see our information about?admission requirements and procedures for international applicants.
Due to the group work components this course has a limited capacity, and students will be prioritised in the following order:
Students admitted to the master's programme Renewable Energy Systems (master)
- Students on other master's programmes at UiO with the course on their approved study plan
Other students
Applicants are ranked based on credits in each group. All applicants within group 1 are ranked before applicants falling within group 2, and so on. For students with the same number of credits within each group, admission is determined through a random draw.
Recommended previous knowledge
This interdisciplinary course is equally suited for students with interests in renewable energy systems and in meteorology or climate science. Students from other fields with fundamental mathematical knowledge at the early bachelor's level (i.e., introductory level calculus or statistics or general math) may also apply.
We start with the basics of energy and climate modelling. Consequently, there are no strict requirements related to energy or climate modelling knowledge, but an interest in numerical models, climate, renewables, and how to stop climate change is beneficial. Some experience with numerical data analysis is a plus.
Teaching
The course has 2 hours of lectures and 1 hour of group?exercises every week throughout the semester.?
You will be required to work in groups (group size depending on number of enrolled students) and make a scientific presentation for which you will receive individual evaluation based on your presentation. The presentation will count towards 30% of the final grade.?
Examination
The evaluation consists of two parts:
- a scientific presentation of the group work, giving an individual evaluation counting for 30% of the final grade
- an individual oral exam that counts for the remaining 70% of the grade.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F?is a fail. Read more about?the grading system.
Resit an examination
Students who can document a valid reason for absence from the regular examination are?offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass, the original examination.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.