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Fabian Neumann Profile picture
Fabian Neumann
@fneum_
Energy system modeller @TUBerlin | Dr.-Ing. | Previously @KITKarlsruhe @EdinburghUni | @openmod ally | https://t.co/U9aNiHW2lH developer | @fneum@mastodon.green
Jul 12, 2023 • 14 tweets • 7 min read
Does Europe need a hydrogen network? 🇪🇺💧🍃⚡️

Not strictly, but it may be cheaper, especially when power transmission reinforcements fail to materialise.

New open-access paper in @Joule_CP with #PyPSA 🪡

📖🔓 https://t.co/janlo9vU7iauthors.elsevier.com/sd/article/S25…
🔎 In this paper with @nworbmot @lisazeyen_lz from @TUBerlin and @martavictoria_p from @AarhusUni we investigated 4 scenarios for a net-zero CO2, sector-coupled European energy system:

- ⚡️with/without power transmission reinforcements
- 💧with/without hydrogen network expansion
Jun 14, 2023 • 12 tweets • 5 min read
New study in @iScience_CP with #PyPSA-Eur combining modelling-to-generate-alternatives (MGA) with global sensitivity analysis (GSA) to show many ways to design cost-effective renewable electricity systems with robustness to uncertain technology costs.

doi.org/10.1016/j.isci…

🧵 Image This paper with @nworbmot extends a previous study using MGA for renewable electricity system planning.



We added technology cost projections as parametric uncertainty to the structural exploration of near-optimal solutions.
Feb 20, 2023 • 5 tweets • 2 min read
🐍🧑‍🏫💻This semester I taught a new course about Data Science for Energy System Modelling, for which I built a website with energy-focused Python tutorials:

fneum.github.io/data-science-f…

@openmod @protontypes #energytwitter Image It includes hands-on introductions to various libraries useful for modelling energy systems and processing data: Python, numpy, matplotlib, pandas, geopandas, cartopy, rasterio, atlite, networkx, pyomo, pypsa, plotly, hvplot, and streamlit.
Jun 21, 2021 • 12 tweets • 6 min read
Narrowly following least-cost energy system optimisation results risks inequitable outcomes.

In a paper on near-optimal trade-offs, I show for a renewable European power system that more regionally balanced expansion plans can be achieved at little extra cost below 4% ... ... and that completely autarkic solutions, without power transmission, appear much more costly.

Now published in ESR: doi.org/gjr2fb

Preprint from July 2021: arxiv.org/abs/2007.08379
Sep 23, 2020 • 14 tweets • 8 min read
Providing just a single least-cost solution underplays an immense degree of freedom when planning future energy systems.

There are many near-optimal alternatives with attractive properties like social acceptance due to less onshore wind capacity or limited grid reinforcement. Highlights below, or read full paper at doi.org/10.1016/j.epsr… or last year's preprint arxiv.org/abs/1910.01891.

With @nworbmot @KITKarlsruhe @Helmholtz

Kudos to the pioneers @jfdecarolis and @etrutnevyte!