Scenario Configuration#

This is the scenario configuration used in the WattTime Impact Metastudy.

Note

The PyPSA-Eur configuration files follow a pyramid-like structure, where the parameters in the highest configuration file add to and override those in the configuration file below it. The order is as follows:

  1. scenarios.meta-{xH}.yaml (this section)

  2. config.meta.yaml

  3. config.default.yaml

Thus, for example changes specified in scenario.meta.yaml will add to and override configurations in config.meta.yaml and so on.

Baseline Scenarios#

The following table provide an overview of the baseline scenarios:

Table 1 Baseline#

#

Scenario name

Planning horizon

RES targets

1

baseline-2025-nH

2025

No

2

baseline-2030-nH

2030

Yes

3

baseline-2030-NoResTargets-nH

2030

No

Key similarities across all baseline scenarios that distinguish them from the default PyPSA-Eur results:

  • Load demand is split into low-voltage demand and commercial/industrial (CI) demand at the high-voltage level for all nodes.

  • Transmission capacities between country buses are fixed, including additional capacities specified in the TYNDP.

  • The model considers electricity only (no sector coupling).

  • Fossil fuel prices are customized to reflect estimates for the year 2025.

Key differences by year:

When the RES target is referenced in this table, it implies that:

  • The model enforces the EU-wide renewable generation share target of 72%.

  • Country-specific renewable capacity targets are applied.

  • National renewable generation share targets are not considered (i.e., deactivated).

Annual Volume Matching Scenarios#

The following table provide an overview of the annual volume matching scenarios:

Table 2 Annual Volume Matching#

#

Scenario name

Baseline

Planning horizon

RES targets

Location scope

1

vol-match-2025-ci25-nH

baseline-2025-nH

2025

No

Continent

2

vol-match-2030-ci25-nH

baseline-2030-nH

2030

Yes

Continent

3

vol-match-2030-country-ci25-nH

baseline-2030-nH

2030

Yes

Country

4

vol-match-2030-NoResTargets-ci25-nH

baseline-2030-NoResTargets-nH

2030

No

Continent

Key similarities across these annual volume matching scenarios:

  • Energy matching is set at 100%.

  • Each country sources 25% of its commercial and industrial (CI) demand domestically.

  • All procurement counts toward renewable energy (RES) targets (no additionality).

The sensitivities explore two main aspects:

  • The impact of limiting procurement strictly to within individual countries.

  • The consequences of not meeting renewable energy (RES) targets.

24/7 Carbon Free Energy Scenarios#

The following table provide an overview of the 24/7 carbon free energy scenarios:

Table 3 24/7 Carbon Free Energy#

#

Scenario name

Baseline

Hourly Matching

Planning horizon

RES targets

Location scope

1

247-cfe-2025-ci25-cfe90-nH

baseline-2025-nH

90%

2025

No

Node

2

247-cfe-2025-ci25-cfe100-nH

baseline-2025-nH

100%

2025

No

Node

3

247-cfe-2030-ci25-cfe90-nH

baseline-2030-nH

90%

2030

Yes

Node

4

247-cfe-2030-ci25-cfe100-nH

baseline-2030-nH

100%

2030

Yes

Node

Key similarities across these annual volume matching scenarios:

  • All procurement counts toward renewable energy (RES) targets (no additionality).

The sensitivities explore two main aspects:

  • Different energy matching levels, set at either 90% or 100%.

  • The year of procurement, which affects whether RES targets are in place.

Emission Matching Scenarios#

The following table provide an overview of the emission matching scenarios:

Table 4 Emission Matching#

#

Scenario name

Baseline

Signal Source

Signal Type

Planning horizon

RES targets

Location scope

1

emi-match-2025-ci25-data-moer-nH

baseline-2025-nH

Statistics

MOER

2025

No

Continent

2

emi-match-2025-ci25-data-mber-nH

baseline-2025-nH

Statistics

MBER

2025

No

Continent

3

emi-match-2025-ci25-data-cmer-nH

baseline-2025-nH

Statistics

CMER

2025

No

Continent

4

emi-match-2025-ci25-data-aer-nH

baseline-2025-nH

Statistics

AER

2025

No

Continent

5

emi-match-2030-ci25-data-moer-nH

baseline-2030-nH

Model

MOER

2030

No

Continent

6

emi-match-2030-ci25-data-mber-nH

baseline-2030-nH

Model

MBER

2030

No

Continent

7

emi-match-2030-ci25-data-cmer-nH

baseline-2030-nH

Model

CMER

2030

No

Continent

8

emi-match-2030-ci25-data-aer-nH

baseline-2030-nH

Model

AER

2030

No

Continent

Key similarities across these emission matching scenarios:

  • Energy matching is set at 100%.

  • Each country sources 25% of its commercial and industrial (CI) demand domestically.

  • All procurement counts toward renewable energy (RES) targets (no additionality).

The sensitivities explore two main aspects:

  • The type of emission matching signal used (MOER, MBER, CMER, AER).

  • Whether the signal is derived from recent historical data or from long-term model projections.