Speaker
Description
Liquid air energy storage (LAES) technology is distinguished by its high energy density, long-cycle energy storage capacity, and geographic independence, presenting substantial potential for large-scale integration of renewable energy and grid management. Current studies on LAES system performance predominantly focus on steady-state models, with an emphasis on improving round-trip efficiency and optimizing system performance. In contrast, research on the dynamic performance of LAES systems, which is essential for engineering and commercial applications, remains limited. This paper develops a dynamic model for an LAES demonstration project under construction, examining its dynamic performance in depth. Under designed operating conditions, the dynamic variations in parameters such as net input power, net output power, liquefaction rate, and system round-trip efficiency during both energy storage and discharge phases are thoroughly analyzed. Special attention is given to understanding how these parameters fluctuate under different operating conditions, providing insights into system behavior during startup, operation, and shutdown. This study aims to provide theoretical guidance for the practical engineering applications of liquid air energy storage (LAES) systems. Furthermore, through dynamic performance analysis, it establishes a foundation for future improvements in system design and performance optimization.
