Danske Commodities to Optimize 40-MWh Solar Battery

Aug 12, 2026 05:03 PM ET
  • Danske Commodities teams up with BeGreen to optimize a 20 MW/40 MWh battery for the 48 MW Ingerslev Å solar park, boosting renewable use and capturing peak-price storage in Denmark.

Danske Commodities has expanded its partnership with BeGreen by signing an agreement to optimise a battery system at the Ingerslev Å solar park in Denmark. The 48 MW photovoltaic facility will be paired with a 20 MW battery that can store 40 MWh of electricity in Norddjurs Municipality within the DK1 price area.

The storage will capture surplus power during periods of strong solar output and release it when demand and market prices rise, improving the use of renewable generation. Danske Commodities, already the balance-responsible party for the solar plant, will also manage the battery in wholesale and ancillary-services markets. The hybrid installation can supply electricity equivalent to about 20,000 households.

How will Danske Commodities optimize BeGreen’s 20MW/40MWh battery with the 48MW Ingerslev solar park?

  • Integrate battery and solar dispatch to increase the amount of solar power sold at high-value times, reducing curtailment when generation outpaces demand.
  • Use advanced forecasting (solar output and weather, day-ahead and intraday) to schedule charging and discharging to match expected price peaks in DK1.
  • Apply real-time market optimization across multiple revenue streams, prioritizing actions that maximize returns from wholesale trading and ancillary services.
  • Exploit the battery’s 40 MWh energy capacity to shift energy across longer periods, not just peak-hour trading, improving overall capture of solar value.
  • Provide grid-support services (where available) such as balancing, frequency/voltage support, and fast response bids that depend on battery power capability (20 MW).
  • Coordinate operation with Danske Commodities’ role as balance-responsible party for the Ingerslev solar park to ensure the combined system remains within forecast and imbalance limits.
  • Manage constraints and safety limits by controlling state-of-charge windows, cycling depth, and thermal/operational protections to preserve performance and battery lifetime.
  • Implement degradation-aware scheduling so cycling is weighted toward times that offer higher economic value per unit of wear.
  • Use intraday re-optimization to correct for forecast errors, adjusting charge/discharge schedules as solar generation and market conditions evolve.
  • Create dispatch strategies for multiple scenarios (cloud transients, rapid ramps, evening ramps) so the battery can respond effectively to both predictable and sudden shifts in output.
  • Optimize the hybrid plant’s “shape” to the market by smoothing variability—charging during surplus production and discharging during demand or higher-price intervals.
  • Coordinate technical interconnection and operational timing with the hybrid plant design so the 20 MW battery power is delivered in a way that aligns with grid requirements.
  • Track performance and settlement data after each operating period to refine bidding parameters and improve future optimization accuracy.