EnergySystemModelling

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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 |