Optimization & Trading Platform For Grid-Scale Batteries From Entrix

Battery optimization platform advances grid stability and revenue for renewable energy
Better bang for the buck: Entrix’s optimization and trading platform for grid-scale battery systems is designed to attain optimal returns. (Source: Entrix GmbH)
Better bang for the buck: Entrix’s optimization and trading platform for grid-scale battery systems is designed to attain optimal returns. (Source: Entrix GmbH)
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Key Takeaways
  • Entrix GmbH’s battery optimization platform is one of the finalists for the EM-Power AWARD 2024

  • The platform uses battery storage to stabilize the grid and respond to frequency fluctuations, addressing the challenges of a decentralized energy system

  • Designed for grid-scale batteries, Entrix’s platform enhances the marketability of flexible battery capacity throughout its life cycle, improving grid support capabilities

Germany’s Entrix GmbH was an EM-Power AWARD 2024 finalist for its Battery Optimization Platform solution, which leverages battery storage to stabilize the grid and respond to frequency fluctuations. While the growing number of solar and wind farms contributes to the renewable energy mix, it also increases the complexity and unpredictability of the energy system. The shift towards a greener, more decentralized energy system introduces new challenges in forecasting and management.

Battery storage systems play a crucial role in stabilizing the grid by offering flexibility and reacting to frequency changes. Entrix developed an optimization and trading platform for grid-scale batteries to address this particular need. This platform enhances the marketing of the flexible capacity of battery storage systems throughout their entire life cycle.

Using AI-based algorithms, the system is optimized to maximize the return on investment over the battery’s lifespan, taking into account the specific characteristics of each project’s hardware. Entrix identifies the optimal mix of revenue streams for each case, enabling efficient management in the rapidly evolving energy landscape.

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