PC_2026_E_04 - Public consultation on economic input data for European electricity system modelling
Contact information
Overview
Realistic cost assumptions are key for effective long-term electricity system modelling, including the one for the European Resource Adequacy Assessment (ERAA). These models are used to assess future investment needs, such as whether new power generation or flexibility resources are likely to be built, and whether existing power plants are expected to remain economically viable.
ACER has recently commissioned a consultancy study on investment parameters. As part of it, the consultant delivered a comprehensive EU-wide economic dataset for electricity system modelling. This new dataset shows estimated investments and operational costs for different power generation technologies and demand-side flexibility at Member State level.
The study builds on a previous exploratory study. Read more on the underlying ACER methodology.
Why we are consulting
The aim of this consultation is to ensure that the inputs used in European-level modelling are robust, transparent and properly grounded in national market realities.
Stakeholders are therefore encouraged to review the data per their relevant Member State(s) by:
- considering whether the figures reflect current market conditions and technological developments; and
- suggesting alternative values supported by evidence, if necessary.
Consultation documents
To facilitate stakeholder contributions and gather more targeted input on the different types of capacity resources covered by the study, the consultation is organised into two separate surveys.
- Generation and storage technologies (i.e. gas turbines, hydrogen turbines and batteries)
- Demand-side response
To allow additional time for submissions, the consultation deadline was extended to 10 April 2026 (instead of 27 March 2026).
Evaluation of Responses and Responses
Next steps
ACER examined the feedback received and revised the data to ensure accuracy and credibility.
On 30 July 2026, the finalised dataset was published. This can be used to improve future ERAA modelling, as well as to help Member States in the fast-track approval of capacity mechanisms under the new State aid framework.