PyPSA-AUS-efuel pre-computed results

This dataset contains precomputed PyPSA-AUS-eFuel optimization scenarios used to assess the value of domestic green fuel production under import price shock assumptions.

The scenarios were generated using the PyPSA-AUS-eFuel Streamlit application and solved with PyPSA.

Assumptions:- Planning year: 2030- Temporal resolution: 3-hourly- Network resolutions: 10, 15 and 20 nodes- Diesel electrification share: 50%- Domestic grey diesel supply: 4.5 Mtpa- Domestic grey ammonia supply: 0.4 Mtpa

For each network resolution, five local green production scenarios were solved:

greenlocprod0

greenlocprod20

greenlocprod40

greenlocprod60

greenlocprod80

greenlocprod100

where the number indicates the share (%) of the remaining diesel and ammonia demand covered by domestic green production after electrification and domestic grey production are accounted for.

The dataset is intended to support insurance-value and import-price-shock analyses for Australian domestic e-fuel production pathways.

Project repository:https://github.com/open-energy-transition/pypsa-aus-efuel