Discover and read the best of Twitter Threads about #atlite
Most recents (2)
Do you want to create an energy system model for any part of the world? In our new preprint, we introduce you to a flexible #opensource model solution that works with high spatial and temporal resolution #opendata.
@MacroEnergySys #energytwitter @openmod
🧵0/11
@MacroEnergySys #energytwitter @openmod
🧵0/11
PyPSA-Earth enables large-scale collaboration by being applicable worldwide. The model is derived from PyPSA-Eur (EU model) using new data and functions. It is suitable for operational as well as combined generation, storage, transmission expansion studies.
See Nigeria:
1/11
See Nigeria:
1/11
The model architecture is built around `Snakemake` as a workflow management tool. It makes the model flexible and 'easy' to use, while having other benefits.
Curious about the other benefits? You can read more in the Snakemake paper: f1000research.com/articles/10-33…
2/11
Curious about the other benefits? You can read more in the Snakemake paper: f1000research.com/articles/10-33…
2/11
In our recent paper, we investigate the changes in hydro operation due to 1⃣ increasingly wind and solar penetration in the grid (tweets 1-7) and 2⃣ climate change impact on inflow (tweets 8-18). Results from a great MSc project by Ebbe Gøtske @iScience_CP
doi.org/10.1016/j.isci…
doi.org/10.1016/j.isci…
1/ First, a disclaimer. We use PyPSA-Eur-Sec to model the sector-coupled European Energy system. The model assumes perfect foresight for the entire year, which entails an optimal operation of hydro reservoirs. How realistic is that?
2/ To answer that question, we compared the modelled hydro dispatch in 2020 with historically observed data. Modelled daily operation is within observed ranges, but modelled seasonality is a little more extreme than observed ranges.
