Belgian Day-Ahead Electricity Market Data for Energy Storage Modelling

Belgian day-ahead electricity market data used to model the societal effects of large-scale battery energy storage systems. The dataset includes modelling assumptions and input data from public sources like the ENTSO-E Transparency Platform and Elia's grid data. It was created by Emilia Rocha Ojeda of Utrecht University to accompany a conference paper.

Use Cases

• Modelling the societal effects of energy storage based on day-ahead market data.
• Simulating market outcomes with varying renewable energy shares and storage sizes.
• Replicating case study results from the associated academic paper.

Strengths

• Input data is sourced from public, authoritative platforms (ENTSO-E, Elia).
• Includes a detailed PDF of modelling assumptions to support replication.
• Dataset is explicitly linked to a peer-reviewed conference paper (EEM22).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

ENTSO-E Transparency Platform and Elia Grid Data.

Collection Method

Collected from public open sources.

Time Range

The specific temporal coverage of the input data is not stated.

Freshness

Data was accessed from source platforms in July 2022.

Geography

Belgium