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储能产业复盘:10大关键数据
行家说储能· 2025-11-06 08:05
Core Insights - The article discusses the rapid growth and trends in the energy storage industry, highlighting significant revenue increases and the impact of new policies on the sector [2][3][14]. Policy Analysis - In September 2025, the National Development and Reform Commission and the Energy Administration issued a plan aiming for over 180 GW of cumulative installed renewable energy capacity by 2027, with an average annual growth rate of 37% [3]. - The new energy storage projects added 87.5 GWh in the first three quarters of 2025, with 32.7 GWh added in Q3 alone, reflecting a year-on-year growth of 62.97% [10][18]. Market Performance - In the first half of 2025, the combined revenue from energy storage systems, batteries, and PCS reached approximately 1.2 trillion yuan, with a net profit of about 81 billion yuan, showing an overall year-on-year growth rate exceeding 30% [3][14]. - Q3 2025 saw total revenue in the energy storage sector of approximately 282.5 billion yuan, with net profits around 34.1 billion yuan [5]. Profitability Trends - Despite the revenue growth, the average gross margin for energy storage companies declined by about 2 percentage points compared to the previous year, attributed to rising raw material costs and intensified price competition [4][14]. - Notably, some companies reported net profit increases exceeding 900% in Q3, while most companies experienced revenue growth rates between 20% and 75% [6]. Product Pricing - The average price of 314Ah energy storage cells in Q3 was 0.3052 yuan/Wh, which is 8.43% lower year-on-year but shows a slight increase of 0.23% compared to Q2 [8]. - The market price for commercial energy storage cabinets (215 kWh) stabilized around 0.65 yuan/Wh in Q3, with a price range of 0.53-0.75 yuan/Wh [9]. Future Demand Projections - The demand for energy storage batteries in AI data centers is projected to grow approximately 30 times from 10 GWh in 2024 to over 300 GWh by 2030 [12][15]. - The energy storage sector is transitioning from traditional backup power to dynamic energy management platforms, driven by increasing AI computing power and supportive policies [15].