Risen Energy(SZ:300118) 中关村储能产业技术联盟·2026-02-12 09:32Core Viewpoint - The article emphasizes the launch of the all-liquid-cooled silicon carbide (SiC) commercial energy storage integrated machine by Dongfang Risen, addressing key issues in commercial energy storage such as revenue stability, efficiency loss, and operational complexity [2]. Group 1: Technical Upgrades - The all-liquid-cooled SiC energy storage system achieves a system-level technical upgrade, resulting in an additional annual cycle energy of approximately 12,210 kWh compared to traditional air-cooled systems, leading to an overall revenue increase of over 9,000 yuan based on a 330-day calculation [4]. - The PCS power has been increased from 125 kW to 131 kW, enhancing charging and discharging capabilities for high-frequency operations [6]. - The introduction of SiC MOSFETs increases switching frequency to three times that of traditional IGBTs, reducing device losses by 40% and improving maximum efficiency to 99.1% [6]. Group 2: Installation and Deployment - The product features a standard cabinet and highly integrated design, allowing for batch stocking and flexible allocation, with single cabinet installation completed in 20 minutes [8]. - The system can automatically identify and connect devices after power-up, enabling the entire station to be operational within 30 minutes [8]. Group 3: Flexibility and Adaptability - The modular system allows for flexible allocation of energy storage resources, enabling the repurposing of redundant standard cabinets from existing sites to new projects, thus avoiding downtime during upgrades [9]. - The system can adapt to changes in electricity prices and policies, extending the overall revenue cycle of projects [9]. Group 4: Safety and Reliability - The product offers multi-dimensional protection with an IP66-rated PCS and optional IP67-rated PACK, suitable for various complex environments [12]. - A three-tier fire protection system, combined with AI health management, ensures precise monitoring and rapid response to potential thermal runaway situations [12]. Group 5: AI and EMS Integration - The system utilizes AI for predictive analysis and EMS for intelligent scheduling, reducing reliance on manual experience and improving decision-making speed and accuracy [13]. - Actual operational data indicates that AI strategies can enhance daily revenue by approximately 20%, with a 15% increase in scenarios involving reverse flow [13]. Group 6: Grid Compatibility - The system is designed to operate effectively in complex grid environments, stabilizing voltage and frequency under weak grid or load fluctuation conditions [15]. - It optimizes active and reactive power output, maintaining a power factor above 0.98, thereby reducing losses from harmonics and phase imbalance [15].