Schneider Electric has launched its latest battery energy storage solution, Schneider Boost Pro.
Initially rolled out in Europe, the company says the new solution helps both commercial and industrial sites cut energy costs, reduce their carbon footprint and minimise operational disruptions.
The Schneider Boost Pro battery storage system can be deployed in environments such as depots to support the charging of heavy-duty vehicles, including buses and trucks.
It can also be integrated into transit infrastructure, such as along highways, where reliable and high-capacity charging solutions are essential.
The battery system is scalable from 200 kWh to 2 MWh by combining up to 10 units.
“By 2030, commercial and industrial buildings will face up to 35 percent higher electricity demand, driven largely by the deployment of EV charging infrastructure. Yet, many organisations are constrained by limited grid capacity and intermittent renewable generation,” Schneider Electric senior vice president and head of eMobility Jean-Baptiste Hazard says.
When it comes to providing advanced energy management solutions for buildings, Schneider Boost Pro offers several features. It stores surplus energy to maximise its use and increase energy independence.
It balances energy use across different sites, using a pre-charged battery energy storage system when energy demand exceeds available energy.
Customers can control the battery’s consumption and load shifting. To reduce energy costs, it charges during off-peak hours, when electricity prices are low, and discharges during peak hours, when prices are high.
It also responds to transmission system operator (TSO) signals to flexibly manage energy use, enabling additional income streams while supporting grid stability.
To enhance its cybersecurity measures, Schneider says the Boost Pro ensures comprehensive data protection and encrypted communications.
It offers AI-driven insights by integrating with EcoStruxure Microgrid Advisor, a cloud-based, AI-powered solution capable of forecasting weather conditions, site production, demand schemes and market conditions, enabling more accurate predictions.
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