Sizing a Battery Energy Storage (BES) for a smart building application is a trade-off between cost of the BES itself and available stored energy. Our software is able to compute, for each targeted building, the size of BES minimizing the investment cost and maximizing revenues.

Unfortunately, for the majority of building (residential or industrial) there is a time mismatch between PV production and Load consumption. Our software is able to predict and manage the time window for which it is possible to charge the BES (PV higher than load) and discharge the battery (PV lower than load).

The management is done for reducing the ageing of the BES and increasing the revenues. Based on our validation, in real buildings located in Lausanne, the ageing is reduced up to 45% compared to a non ageing-aware strategy.

Deploying your battery for frequency and/or voltage control? How much will it cost from the utility point of view? And from an end-client? We are able to compute this cost and the associated benefit.

Aurora'Grid is working on the integration of EVs batteries providing ancillary services to the grid (V2G) or to building (V2B). Moreovoer, we started to focus on the development of an EMS for Second-life batteries applications.

• Primary, secondary and tertiary frequency market
• 24 hour ahead market and Energy arbitrage
• More than 20 MWh across Europe

• Management of commercial and residential building with EV charge station
• No BES: Grid constraint and Peak shaving accounted for

• 30 ms aggregation time
• Can connect up to 20000 sites simultaneously
• Deployed for C&I and Utility Scale

• MBMS for various BES
• Possibility to integrate hybrid systems

• Increasing self-consumption ratio
• Decreasing ageing of battery (by 20-40%)
• Possibility to couple with other services

• Reducing both renewable and load peak
• Enabling additional revenue
• Self-learning of the local behavior

• Decarbonize assets, infrastructures or specific process
• Enabling 50% reduction in CO2 footprint