Abstract: With the increasing maturity of large-scale new energy power generation and the shortage of energy storage resources brought about by the increase in the penetration rate of new energy in the future, the development of electrochemical energy storage technology and the construction of demonstration applications are imminent.
By means of technical economics, the potential value and development prospects of energy storage technologies can be revealed from the perspective of investors or decision-makers to better facilitate the deployment and progress of energy storage technologies.
Thermal energy storage achieved the best economic performance in Region 3. Within 2 h, electrochemical energy storage dominates, regardless of cycle changes. Lithium batteries are the best choice for energy storage technology in this region. The difference between regions 5 and 6 is the effect of the energy storage duration.
The paper offers an in-depth look at AI’s impact across the full spectrum of electrochemical energy storage, from material science to system integration and life-cycle management. AI has become a transformative tool in various scientific domains, particularly in battery and electrochemical energy storage systems.
The review identifies key challenges in advancing AI for electrochemical energy storage: data shortages, cyberinfrastructure limitations, data privacy issues, intellectual property obstacles, and ethical complexities.
From 8 h to 16 h, the LCOE of thermal storage is under 0.5 CNY/kWh, making it economically competitive. The LCOS of lithium batteries and thermal energy storage overlap when the duration is between 2 and 4 h, and the economic advantage of thermal energy storage gradually exceeds that of lithium batteries.