New Energy AI “Energy + X” Acceleration Strategy: A Green Transformation for Enterprises
Release Date: April 18, 2025
Source: Global Network
Energy storage is a crucial aspect of the development of new energy, primarily aimed at achieving the “carbon neutrality” goal. By 2025, artificial intelligence (AI) technology will advance at unprecedented speeds, merging deeply with energy storage systems. When AI meets energy storage technology, what new business opportunities will emerge?
During the 13th National Energy Conference (ESIE2025), it was noted that in the context of AI’s capabilities, the integration of “energy + X” will become increasingly common. This includes expanding from the power grid to user-side applications, playing a significant role in the energy transition.
AI and energy storage can complement each other in areas such as security monitoring, intelligent operation, and enhanced communication. At the ESIE2025 conference, many companies highlighted the applications of AI technology within energy storage products and solutions.
Currently, China’s new energy storage capacity is rapidly increasing. However, wind and solar power have specific intermittent characteristics, necessitating the development of advanced storage technologies, including peak shaving and frequency modulation, to optimize the new energy regulatory framework. China aims to classify “new energy storage” as a fast-developing new industry, reinforcing its critical role in the national energy transition.
According to the Energy Storage Industry White Paper 2025, it is expected that by 2025, the new energy storage capacity will exceed 100 GWh, with project development exceeding 30 GWh. The industry is experiencing a shift from “policy-driven” to “market-driven” development. The market’s dynamics will increasingly reflect the needs of various application scenarios.
As the AI technology integrates with energy storage systems, it will enhance operational stability and efficiency. The value of energy storage in the supply chain is becoming more evident, with new energy sources and stability being crucial for market competitiveness. Recent reports emphasize that the new energy storage market will be bolstered by policy adjustments and market dynamics, leading to increased investment and innovation.
Looking ahead, the integration of AI into energy storage systems signifies a shift towards more intelligent and efficient energy management. The blend of energy sources, particularly wind and solar, will require sophisticated management strategies to maintain stability and efficiency in energy supply.
As enterprises adopt AI technology in energy storage, they will likely experience improved operational efficiency and lower costs, further driving the green transition. The “Energy + X” model will offer numerous applications and opportunities, with energy storage playing a pivotal role in this transformation.
In conclusion, the development of energy storage is essential in achieving a sustainable energy future. As AI technology continues to evolve, its integration with energy storage will unlock new possibilities, fostering innovation and enhancing the overall efficiency of energy systems.
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