Recent Developments on the Application of Chloride Molten Salt Heat Storage Technology to New Energy Power Generation

Your Location：

Home >

Browse articles >

Recent Developments on the Application of Chloride Molten Salt Heat Storage Technology to New Energy Power Generation

Power Generation Technology Vol. 46, Issue 5, Pages: 872-884(2025)

Energy Storage|Updated：2026-06-29

|

Export
Share
Collection
Album

- Recent Developments on the Application of Chloride Molten Salt Heat Storage Technology to New Energy Power Generation
- “Under the background of "dual carbon", molten salt thermal storage technology has developed rapidly. The research progress of chloride molten salt in the field of new energy power generation is introduced, and experts summarize the methods of enhancing thermal conductivity and corrosion research, laying the foundation for achieving clean and efficient energy utilization.”
- Affiliations：
  1.School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan Province, China
  2.CAS Key Laboratory of Renewable Energy, Guangzhou 510640, Guangdong Province, China
- Author bio：
- Funds：
  the National Natural Science Foundation of China(52206192);CAS Key Laboratory of Renewable Energy,Guangzhou Institute of Energy Conversion(E229kf1001);Natural Science Foundation of Hunan Province(2022JJ40499);Outstanding Youth Program of the Scientific Research Fund of Hunan Provincial Education Department(22B0289);Postgraduate Research Innovation of Changsha University of Science and Technology(CSLGCX23075)
- DOI：10.12096/j.2096-4528.pgt.24057
  CLC：
- Revised：2024-10-25，
- Accepted：
Scan QR Code
DOI：
DOI：

102

Views

103

Downloads

3

CSCD

Alert me when the article has been cited

Submit

Publicity Resources

Related Articles

Research on Optimization of High-Flux Solar Furnace With Tilted Receiving Surface

Virtual Inertia Control Strategy for Direct Current Bus Voltage in Integrated Energy Systems Based on Electric-Hydrogen Hybrid Energy Storage

Review of Research on Wind-Solar-Hydro Complementary Power Generation Systems

State of Health Estimation of On-Board Lithium-Ion Batteries Using Temporal Convolutional Network Optimized by Improved Self-Adaptive Honey Badger Algorithm

Modeling Simulation and Experimental Verification of Focal Length Optimization in Linear Fresnel Collector

Related Author

SUN Si

XU Li

SUN Feihu

LI Jun

CHEN Zhaoru

XUE Sheng

DAI Linhao

LI Jinjian

Related Institution

Institute of Electrical Engineering, Chinese Academy of Sciences, Haidian District

University of Chinese Academy of Sciences, Haidian District

Key Laboratory of Solar Thermal Energy and Photovoltaic System, Chinese Academy of Sciences, Haidian District

Beijing Engineering Research Center of Solar Thermal Power, Haidian District

College of Chemical Engineering, Shenyang University of Chemical Technology