Pio Alessandro Lombardi

Department of Energy Systems and Infrastructures Fraunhofer Institute for Factory Operation and Automation IFF The Department of Energy Systems and Infrastructures at Fraunhofer IFF develops and implements advanced digital technologies for the secure, efficient, and sustainable transformation of energy infrastructures. Our research bridges electrical engineering, automation, and information technology to provide systemic solutions for future energy systems. We focus on the technical and operational integration of renewable energy sources, storage technologies, and sector coupling. By combining intelligent control systems with simulation environments and real-time monitoring, we enable grid-supportive operation and energy system resilience at all levels – from industrial plants to urban districts. Our solutions include AI-based decision-making, model predictive control, digital twins, multi-agent systems, and virtual assistance tools, tailored to support utilities, DSOs, TSOs, municipalities, and industrial users in the planning and operation of distributed energy systems. Core Research and Development Topics Grid-interactive and multi-modal energy system architectures, Predictive operation and optimization of energy storage and PV systems, Cross-sectoral energy system simulation (electricity, heat, mobility), Cyber-physical system integration and real-time diagnostics, AI, edge computing, and distributed control in energy applications, Virtualization and digital twins for infrastructure planning and operations, Resilience and fault tolerance in critical energy infrastructure Selected Research Projects Digital Tools for Integrated Infrastructures Development of digital planning and operational platforms to simulate and optimize integrated infrastructures across multiple energy vectors. More info, MESH4U Modular and resilient energy supply systems for urban areas, integrating renewables, storage, and smart local control via decentralized architectures. More info, ZeroDefect4PV AI-driven condition monitoring and predictive maintenance for photovoltaic systems using image recognition and data analytics. More info, ACES (AI for Cross-Sectoral Energy Systems) Application of artificial intelligence and machine learning to optimize interconnected energy flows across electricity, heating, and mobility networks. More info, Net Zero Energy Development of strategies for industrial decarbonization through energy efficiency, electrification, and smart digital energy management systems. More info, Elbfabrik Magdeburg Real-life demonstration environment for digital energy applications in industrial production settings, including real-time monitoring and optimization. More info, FlexBit Integration of flexible, building-level energy technologies supporting grid services and self-optimization using smart metering and control. More info, WIP – Structural Change in Central Germany Regional energy planning and transformation support for municipalities facing post-coal structural transition. More info, PV-Implement Digitalized PV rollout leveraging drone mapping, digital twins, and immersive visualization to accelerate planning and citizen participation. More info, ODAL – Operator-Centric Digital Assistance Development of modular human-machine interfaces and AI support systems for secure and resilient operation of energy networks. More info, ALene – Grid-Compatible Battery Storage Power electronics and algorithmic development for multifunctional battery operation in low- and medium-voltage grids. More info