Energy Storage Analytics and Software Tools

In this panel, experts from academia, industry, and research institutions come together to provide latest updates on the crucial yet challenging aspects of accurate modeling and optimal control in energy storage systems. The session underscores the vital role of energy storage in balancing the intermittency of renewable sources, discussing various technologies from lithium-ion batteries to long duration energy storage technologies. A primary concern highlighted is the complexity in accurately modeling these systems, where capturing the dynamic behavior under varied operational conditions, necessitating advanced computational methods and algorithms. The panel also delves into the realm of optimal control, emphasizing the need for sophisticated, adaptive strategies and the integration of AI and machine learning for predictive management and efficiency enhancement. Additionally, the discussion points towards the critical role of advanced software tools in energy storage analytics, which are essential for scenario simulation, risk assessment, and operational optimization. The panel also touches upon future innovations like digital twins and the importance of ongoing research and collaborative efforts to address these challenges, driving the evolution of more efficient, reliable, and sustainable energy storage solutions.