pitmonticone / energysystemmodelling

Resources for the Energy System Modelling course by Tom Brown at Karlsruhe Institute of Technology (2020).

Energy System Modelling

Summer Semester 2020, Karlsruhe Institute of Technology

Resources

• The LaTeX source is released under a Creative Commons Attribution 4.0 International License in the ESM GitHub repository.
• The graphics are available in a compressed archive file.
• The YouTube playlist of video lectures is available here.
• The tutorials are available here.

Slides	Video	Topic
Lecture 1	Lecture 1	Introduction to energy system modelling
Lecture 2	Lecture 2	Consumption, Generation and Time series analysis for Germany
Lecture 3	Lecture 3	Renewables in Germany versus Europe, Balancing Energy/Capacity, Graph Theory, Linear Power Flow
Lecture 4	Lecture 4	Power flow theory and solutions
Lecture 5	Lecture 5	Storage modelling, demand-side management (briefly)
Lecture 6	Lecture 6	Optimisation, KKT conditions
Lecture 7	Lecture 7	Introduction to electricity markets
Lecture 8	Lecture 8	Optimisation and markets with networks and storage
Lecture 9	Lecture 9	Investment in dispatchable generation, screening curves, investment in transmission
Lecture 10	Lecture 10	Cost recovery from market, renewables in electricity markets, high shares of wind and solar, network versus storage optimisation
Lecture 11	Lecture 11	Discounting, net present value (NPV Jupyter notebook and as webpage), LCOE, multi-horizon investment, learning curves, path dependency (multi-horizon Jupyter notebook and as webpage)
Lecture 12	Lecture 12	Sector coupling, heat in buildings, transport, industry, synthetic fuels, open energy modelling
Lecture 13	Lecture 13	Workflow management with Snakemake, spatial resolution in optimization models, optimal power flow formulations using graph cycles
Lecture 14	Lecture 14	Principal Component Analysis (PCA) applied to the power system
Lecture 15	Lecture 15	Flow allocation of network flows to generators and consumers
Lecture 16	Lecture 16	Problems with optimization models, robustness to weather and climate change, near-optimal energy systems