Energy System Modelling, Summer Semester 2019

Karlsruhe Institute of Technology

Faculty of Informatics

Block lecture

more details

Dates:

Thu 06.06.2019, 9:00-16:00

Fri 07.06.2019, 9:00-16:00

Thu 13.06.2019, 9:00-16:00

Fri 14.06.2019, 9:00-16:00

Thu 27.06.2019, 9:00-16:00

Location: Campus Nord, Building 449, Room 126

Language: English

Course number: 2400230

Each day will consist of 3 lectures and one exercise class:

09:00-10:30 Lecture 1

10:45-12:15 Lecture 2

13:00-14:30 Exercise Class

14:45-16:15 Lecture 3

Some of the exercises will require you to program in Python, so please bring a laptop. We will help you to install Python and the requisite libraries.

The course has 4 ECTS points.

SWS: 2

Campus Management for Students Course Webpage

The lectures are given by Tom Brown

Lecture 1 - 06.06.2019 (over two lecture slots; last updated 06.06.2019) - Introduction to integrating renewables, time series analysis for Germany

Lecture 2 - 06.06.2019 (last updated 06.06.2019) - Renewables in Germany versus Europe, Balancing Energy/Capacity, Complex Network Theory, Linear Power Flow

Lecture 3 - 07.06.2019 (over two lecture slots; last updated 07.06.2019) - Power Flow

Lecture 4 - 07.06.2019 (last updated 07.06.2019) - Storage

Lecture 5 - 13.06.2019 (last updated 13.06.2019) - Optimisation

Lecture 6 - 13.06.2019 (last updated 13.06.2019) - Electricity Markets

Lecture 7 - 13.06.2019 (last updated 13.06.2019) - Short-Run Operation of Electricity Markets

Lecture 8 - 14.06.2019 (last updated 14.06.2019) - Long-Run Investment in Electricity Markets

Lecture 9 - 14.06.2019 (last updated 14.06.2019) - Networks vs. Storage, Sector Coupling

Lecture on Dynamic Investment - 27.06.2019 (last updated 27.06.2019) - Multi-Horizon Investment Optimisation with Learning Curves (Jupyter notebook; Jupyter notebook as webpage)

Lecture 10 - 27.06.2019 (last updated 27.06.2019) - Cost Recovery in Electricity Markets, Renewables in Electricity Markets

Lecture 11 - 27.06.2019 (last updated 27.06.2019) - Modelling the Energy System at High Spatial Detail, Algorithmic Considerations

Lecture on PCA - 27.06.2019 (last updated 27.06.2019) - Principal Component Analysis for Energy System Analysis

Lecture 12 - 27.06.2019 (last updated 27.06.2019) - Grid Dynamics, Cascading Outages, Climate Change, Cost and Weather Sensitivities

Whiteboard photos

The tutorials are given by Fabian Neumann

The tutorial question sheets, data and code examples can be downloaded from the KIT GitLab repository: esm tutorials.

Note that you'll need a laptop with a Python environment like anaconda for the tutorials. See installation hints in the first tutorial sheet.

The dates for the oral exam can be found in this timetable.

The location is office 333 in building 449 on Campus Nord.

There are currently openings in our group to write a master thesis.