Retired Electic Vehicle (EV) Batteries for the Renewable Energy Storage 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.

This session examines how different models perform in practice and under which conditions they become financeable.

This session examines how procurement, system design and construction choices affect project outcomes — and what developers should do differently.

This session looks at measures taken to make the EU more independent in sourcing critical raw materials for BESS components and how the framework conditions to facilitate recycling and circular economy in BESS need to evolve.

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.