Image: Zenobe Energy

An artificial intelligence based energy trading platform is being deployed to maximise the flexibility opportunities at Zenobe Energy’s 10MW Hill Farm battery.

The project, a first of its kind, will use the Dynamic Demand 2.0 Trader solution from Open Energi and Erova Energy. The solution combines Open Energi’s advanced algorithmic optimisation platform with Erova Energy’s short-term power trading expertise.

By making continuous calculations over different time horizons as market opportunities evolve, Dynamic Demand 2.0 Trader algorithmically takes positions and rebalances state of charge.

Related articles:
Batteries see 149% increase in balancing mechanism activity
Flexibility vital to the success of the energy transition
UK’s National Grid lays out 2050 scenarios – ‘requires immediate action’

In addition, Dynamic Demand 2.0 Trader will provide Zenobe’s battery with access to balancing mechanism revenues for the first time, as well as wholesale and ancillary service and capacity markets, ensuring full exposure to the widest range of flexible markets.

“We are very happy to continue to build on the work done to date with Open Energi and extend our joint reach into the balancing mechanism as well as wholesale traded markets by including Erova into the partnership,” said Steven Meersman, co-founder at Zenobe Energy, in a statement.

Balancing mechanism revenues for batteries continue to increase as distributed assets form the backbone of National Grid’s zero carbon capability targets. However, in the rapidly evolving flexibility marketplace, ensuring the ability to participate in different markets and to undertake different strategies as opportunities emerge is essential to generating the maximum benefit from storage assets.

The 10MW/12MWh Hill Farm system is the largest Tesla battery installation in the UK. It is located in Leicester.

It is one of five battery storage sites that Zenobe has delivered. In addition to grid scale storage, the company also is involved in delivering a charging infrastructure for electric buses.