PyPSA / PyPSA/pypsa-eur

Investigate demand growth / efficiency potentials

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Dominant language
Python
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Forks
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Avg merge
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Merged PRs (30d)
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Description

Growth: less relevant for electricity, but relevant for aviation demand (where big growth is expected).
Potential sources: IEA, EU assumptions, etc.
Often coupled to e.g. GDP growth (although link is no longer strict).

Contributor guide

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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

No files, tests, or entry points are identified in the issue. Start by locating how aviation demand and efficiency assumptions are represented, then review the suggested IEA, EU, and GDP-growth sources; done should mean that the relevant growth assumptions and efficiency potentials are defined with agreed sources and scope.

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
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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