| 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 |