PyPSA / PyPSA/pypsa-eur

Improve hydro inflow / run of river modelling

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enhancement low priority
Dominant language
Python
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615
Forks
459
Avg merge
4d 14h
Merged PRs (30d)
6

Description

The per-country totals of energy capacities of the data/bundle/hydro_capacities.csv file were passed to us by direct communication from Alexander Kies as early as 2015 out of the RESTORE 2050 project.

It would be a good idea to revisit energy capacities, maybe using the JRC hydro database: https://github.com/energy-modelling-toolkit/hydro-power-database

See also PECD: https://zenodo.org/record/3929773#.XwLmMBFS8ch

Also: spatially resolved daily river discharge time-series are now available for Europe from CDS as part of the EFAS dataset (https://confluence.ecmwf.int/display/COPSRV/EFAS+available+data).

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing data/bundle/hydro_capacities.csv and comparing its country totals with the JRC hydro database and PECD references. Investigate whether the EFAS dataset provides suitable spatially resolved daily river discharge time-series. The issue does not define which data source to adopt or what completion criteria should be used.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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