Competitiveness and Technological Differentials of Energy Storage for the Capacity Reservation Market and Other Large-Scale Applications

While predictive maintenance has become a well-known concept in battery energy storage, the next step is predictive operation. This approach aims not only to prevent failures, but also to continuously optimize system operation in real time. The goal is to maximize the performance, efficiency and lifetime of the existing hardware in each specific use case. Predictive operation extends beyond the battery cells themselves: Adaptive thermal management, intelligent inverter control and optimal coordination of power electronics all play a crucial role. By anticipating system behavior under different operating scenarios, predictive operation enables asset owners and operators to extract greater value from their storage systems while improving reliability and integration with renewable generation. This session will highlight the latest methods, control strategies and demonstration results that bring predictive operation from research into practice.

Each company gives a short pitch, followed by brief discussion and feedback from the moderator.

This session breaks down the three dominant routes-to-market in Europe and examines where they work in practice, how they are structured, and what risks they carry.

This interactive session moves from discussion to application. Based on real-world assumptions, analysts present two battery storage projects — one stand-alone and one co-located with PV.

This session explores the regulatory, technical, and commercial advantages of hybrid renewable assets across Europe.