Energy Storage Science and Technology ›› 2024, Vol. 13 ›› Issue (12): 4381-4383.doi: 10.19799/j.cnki.2095-4239.2024.1134

• Special Issue on Thermochemical Energy Storage • Previous Articles     Next Articles

Research on performance evaluation and optimization strategies of thermal energy storage systems based on big data analysis

Heng LI(), Zhijuan WANG()   

  1. Software Engineering Department, Shijiazhuang Information Engineering Vocational College, Shijiazhuang 052161, Hebei, China
  • Received:2024-10-20 Online:2024-12-28 Published:2024-12-23
  • Contact: Heng LI, Zhijuan WANG E-mail:lmm_lzn@163.com;LhWangZJ1978@126.com

Abstract:

With the rapid development of renewable energy, the importance of thermal energy storage systems in modern power systems has become increasingly prominent. To enhance their operational efficiency and economic viability, performance evaluation and optimization strategies based on big data analysis have become a research focus. This paper systematically explores the components and operating principles of thermal energy storage systems, analyzes the current application status of big data technology in the thermal energy storage field, and proposes a series of methods for performance evaluation and optimization.

Key words: thermal energy storage system, performance evaluation, optimization strategy

CLC Number: