Clean energy transition 9

Energy Digitalization: A Key Enabling Technology for the Clean Energy Transition

Prof. Jing Sun, University of Michigan, USA

Multi-scale Optimization Framework for Clean Power and Thermal Management


Aiming to enhance power and energy systems' efficiency and sustainability, my goal involves reducing ground and marine vehicles' environmental and societal impacts. My research intersects dynamics and control with the electrified ground and marine transportation systems, contributing significantly to the energy transition through theoretical development, technology innovation, and knowledge dissemination.

03:00 p.m  04:30 p.m    

Luxembourg Learning Centre
7, Ënnert den Héichiewen, 4361 Esch-sur-Alzette

Room: Ellipse

ABSTRACT Clean and sustainable energy solutions render integrated systems where heterogeneous physical entities are combined to form functional platforms. New and “invisible” feedback loops and couplings are introduced with increased connectivity, leading to emerging dynamics and making the integrated systems more control-intensive. The multi-physics, multi-time scale, and distributed-actuation natures of those integrated systems present new challenges as well as opportunities for control and optimization. Understanding their operating environments, achieving sustained high performance, and incorporating rich but incomplete data also motivate the development of novel design tools and frameworks. In this talk, I'll use the thermal and power management of connected and automated vehicles (CAV) to highlight the Clean Energy Transition challenges.

- Introduction: Transportation Decarbonization

-Integrated Power-Thermal Systems for CAV and Emergent Dynamics

- Multi-physics and Multi-fidelity Modeling of CAV for Energy Efficiency

- Multi-horizon Model Predictive Control for Power-Thermal Management

- Mixed Model-based and Data-Driven Multi-range Load PredictionFinal Thoughts


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