Context

Introduction: In the current PyPSA-Eur model, the definitions for existing power plants, batteries, electrolysers, and RES are derived from open-source datasets, along with their associated cost assumptions. Expansion planning is performed without applying candidate constraints, allowing for unconstrained model optimization. In contrast, the SB process employs data gathered through an extensive data collection effort conducted in every cycle.

Task: Integrate existing infrastructure data from the PEMMDB dataset as provided on ENTSO-E’s SB website into the PyPSA-TYNDP model. Exogenously define investment candidates for expansion based on the collected dataset and align their parameters, including technical and economic characteristics, to ensure consistency with the SB process.

Details

• Might be relevant to add PEMMDB as a source of the powerplantmatching. PEMMDB app introduce a new data format. TYNDP 2026 is the first cycle to use it.
• Investment candidates as listed in GRID.xlsx and GENERATOR.xlsx investment input datasets.
• Requires implementation of "trajectory constraints" based on input from the TRAJECTORY.xlsx investment input dataset. This includes information on
  • total min and max capacity by country, scenario, technology and year.
  • max yearly buildout capacity by country, scenario, technology and year.