Fabian Neumann

Reverts PyPSA/pypsa-eur#386

by adding an optional `{years}` wildcard, much like the `{simpl}` wildcard. Selecting sub-annual ranges in `config.yaml` should still be possible. Everyting should be backwards compatible. Potential solution: add another collection...

https://land.copernicus.eu/pan-european/GHSL/european-settlement-map Could be useful for distance criteria for offshore wind as well as rooftop PV potentials.

Include GISCO EU DEM slope data for land eligibility

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https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/elevation/eu-dem/slope

Include "Nationally Designated Areas" (CDDA) in land eligibility

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Nationally designated areas (CDDA) https://de.wikipedia.org/wiki/Common_Database_on_Designated_Areas https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-16 older version with UK exists https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-14

Cluster by arbitrary shapes (NUTS1, NUTS2, NUTS3, GADM)

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It is already possible to specify a custom busmap to the `cluster_network` rule to support arbitrary clustering. But that is so far a manual process. There are many use cases...

Update data in the data bundle to most up-to-date versions

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For some of the data in the data bundle newer versions are available ; e.g. for - `data/bundle/EIA_hydro_generation_2000_2014.csv` up to 2016 - `data/bundle/NUTS_2013_60M_SH/data/NUTS_RG_60M_2013.shp` for 2016 - `data/bundle/nama_10r_3popgdp.tsv.gz` up to 2017...

Automatically retrieve data directly from source

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Co-authored-by: euronion Closes # (if applicable). ## Changes proposed in this Pull Request - [x] restore Windows compatibility at end - [ ] delete zips because they are only temporary...

clean out all nuts3 references

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The goal is to eliminate shape reprojection from NUTS3 to model regions. Instead, use gridded data from https://datadryad.org/stash/dataset/doi:10.5061/dryad.dk1j0 and https://www.worldpop.org/ Checkout: https://github.com/martacki/pypsa-ua_gdp_data