AIDC的爆发式增长，正在从市场需求、应用场景、电力系统架构三个维度重塑储能产业的发展格局。 随着人工智能技术的飞速发展，人工智能数据中心（AIDC）作为承载大模型训练、算力输出的核心载体，正以"工业级新负荷"的姿 态，对储能产业的发展格局产生颠覆性影响。AIDC对绿色、稳定、经济电力的刚性需求，不仅推动储能产业迎来结构性变革，也催生 了技术路线的迭代升级，同时，极端工况适配、成本控制等挑战也亟待突破。 三个维度重塑储能产业发展格局 AIDC的爆发式增长，正在从市场需求、应用场景、电力系统架构三个维度重塑储能产业的发展格局。 高工产业研究院院长高小兵指出，全球AIDC算力需求呈指数级增长，预计到2030年，全球数据中心耗电量将增长4至5倍，在中国和 欧洲，绿色数据中心将占据主导地位。这种增长态势直接催生储能市场的结构性扩容，据行业测算，到2030年，全球仅AIDC领域就将 催生超300GWh的储能装机需求，成为储能产业新增长极。 与传统数据中心不同，AIDC具有功率密度高、负荷波动大的特性，单座3000至5000匹算力的AIDC年用电量可达2亿度，瞬时负荷波 动剧烈，这就要求原先电源架构下的电池组从"备用电源 ...

Core Viewpoint - The rapid development of Artificial Intelligence Data Centers (AIDC) is significantly transforming the energy storage industry, creating a structural change driven by the demand for green, stable, and economical power [1][3]. Group 1: Structural Changes in Energy Storage Industry - AIDC is reshaping the energy storage industry from three dimensions: market demand, application scenarios, and power system architecture, with global AIDC computing power demand expected to grow 4-5 times by 2030 [3]. - By 2030, the AIDC sector alone is projected to generate over 300 GWh of energy storage demand, becoming a new growth driver for the energy storage industry [3]. - AIDC's characteristics, such as high power density and significant load fluctuations, necessitate a shift in energy storage systems from "backup power" to "core power regulation" [3]. Group 2: Evolving Application Scenarios - The layout of AIDC is pushing energy storage applications from centralized to a "centralized + distributed" collaborative evolution [4]. - In remote areas with abundant wind and solar resources, AIDC must collaborate with energy storage to create independent green power supply systems [4]. - In urban core areas, distributed energy storage needs to be integrated into AIDC cabinets or parks to address real-time load fluctuations [4]. Group 3: Challenges in Scaling AIDC Energy Storage - AIDC energy storage faces three core challenges: adaptation to extreme conditions, ensuring high reliability, and cost control [6][7]. - Stability under extreme conditions is critical, as AIDC is often located in areas with harsh climates, which can affect the chemical stability of storage cells and system thermal management [6]. - High reliability is essential, with AIDC requiring a power supply online rate of over 99.9%, necessitating rapid response times and a robust protection system [7]. - Cost control is vital for market viability, as high investment and operational costs directly impact AIDC's operational efficiency [7]. Group 4: Clear Directions for Technology Iteration - The technology iteration direction for AIDC energy storage is focusing on long-duration storage, high-voltage architecture, multi-technology integration, and intelligent scheduling [9]. - Long-duration storage is key to addressing the structural contradiction between rapid computing power iteration and long power construction cycles [9]. - High-voltage direct current supply architecture is becoming mainstream, with products like the central energy router simplifying supply chains and reducing energy loss [9]. - The integration of lithium and sodium battery technologies is emerging as a complementary approach to meet diverse AIDC needs [10]. - Intelligent scheduling and digital management are becoming core competitive advantages, leveraging big data and AI for optimal energy utilization [10]. Group 5: Global Trends - The integration of AIDC and energy storage is an irreversible trend, necessitating the energy storage industry to adapt to AIDC's evolving demands and overcome technological bottlenecks [10].