Clean Energy Science and Technology | Youth Science and Technology Forum: No. 12

On the evening of June 13, 2025 (19:00-20:30, Beijing Time), the 12th Youth Science and Technology Forum on Clean Energy Science and Technology was successfully convened in a virtual format.

Research Presentations:

Prof. Shunli Wang (Smart Energy Storage Institute) addressed key challenges in energy storage systems, such as safety and reliability, by proposing an industry-academia collaborative solution. Their research focused on high-precision parameter detection and modeling under complex operating conditions, developing advanced algorithms for accurate SOC/SOH estimation. The team also designed multiple core device systems, which have been applied in integrated wind-solar-storage projects and other fields.

Assoc. Prof. Shuqin Chen (Zhejiang University) highlighted that building operations account for 30% of global energy consumption. Her team established a nationwide building energy database, introduced a multi-objective optimization method for energy system design, and validated it in real-world projects. Additionally, they developed flexible operation strategies, including demand response technologies, demonstrating significant energy-saving and carbon reduction benefits, thereby supporting the green transition in the construction sector.

Core Technical Discussions:

This academic forum focused on the following key topics:

• Trade-off Between State Estimation Accuracy and Computational Complexity

In practical applications, algorithm design must be optimized based on specific requirements to balance precision and efficiency.

• Advantages and Broader Applications of Predictive Control

The superior performance of predictive control in dynamic response and multi-variable coordination is highlighted, along with an exploration of its applicability in real-world systems.

• Model Generalization Capability and Universality

The impact of modeling approaches on generalization performance is examined, emphasizing the importance of integrating data-driven methods with physical models.

• Challenges and Solutions in Supply-Demand Matching

Innovative approaches such as virtual power plant and energy flexible buildings are discussed, offering new research directions for energy system optimization.             

Chaired by Assoc. Prof. Jian Li from Beijing Institute of Technology, the conference created an industry-academia-research platform covering energy storage state estimation and building energy optimization. It showcased cutting-edge advances like high-precision estimation algorithms and integrated renewable-storage systems, along with practical big-data-driven building efficiency cases, offering innovative solutions for the "Dual Carbon" transition.