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Inner Mongolia’s 12.8 GWh Battery Storage Cluster Fully Operational with Envision Group’s AI Dispatch System Online

Envision Group announces the full commercial operation of its 12.8 GWh battery storage network in Inner Mongolia, integrating an AI management system to optimize power dispatch and support a 2 GW green-energy AI computing industrial park in Ulanqab, expanding the total storage capacity to 14 GWh.

Editorial Team8/12/2026Updated 8/12/2026

12.8 GWh Storage Network Officially Enters Commercial Operation

Envision Group’s 12.8 gigawatt-hour (GWh) battery storage cluster in Inner Mongolia has completed the integration of an artificial intelligence (AI) management system and officially entered full commercial operation as of August 8. The cluster, centered around the Envision Jingyi Chagan Hada Energy Storage Power Station, connects storage facilities across Bayannur, Ordos, Hohhot, Ulanqab, Xilingol League, and Alxa League in Inner Mongolia, bringing the total operational scale to 14 GWh. This marks the world’s largest electrochemical energy storage network currently in operation.

The Envision Jingyi Chagan Hada Energy Storage Power Station achieved initial grid connection in February and passed continuous grid verification testing in early August before commencing commercial operation. During testing, the station completed three full charge and discharge cycles at rated power and successfully passed a 72-hour continuous operation trial, demonstrating stable performance. Envision Group stated that the storage system employs a localized supply chain model, with battery cell production, containerized system assembly, and operational controls all supported by facilities within Inner Mongolia.

AI Dispatch System Enhances Operational Efficiency

Envision Group’s newly integrated AI management system analyzes real-time electricity spot market price trends and demand forecasts to automatically optimize battery charging and discharging schedules. Company engineers estimate that, compared to conventional fixed-schedule storage assets, the AI dispatch architecture will increase lifetime revenue by approximately 20%. The system utilizes machine learning models to monitor battery thermal behavior and coordinates charging and discharging cycles based on grid conditions, enabling real-time operational decision-making.

As a key clean energy base in China, Inner Mongolia boasts substantial wind and solar power capacity but has long faced challenges with grid absorption capacity. The 12.8 GWh storage cluster deployed by Envision Group effectively absorbs excess daytime power generation and releases stored electricity during peak demand periods, reducing renewable energy waste while stabilizing ultra-high-voltage power transmission lines to eastern China.

Supporting Power Supply for AI Computing Industrial Park

Envision Group’s Galaxy Campus—a 2 gigawatt (GW) green-energy AI computing industrial park in Ulanqab, Inner Mongolia—has begun drawing power directly from regional wind farms and the 12.8 GWh storage cluster. The campus is designed to support up to one million accelerators, becoming a critical component of Inner Mongolia’s green energy industrial chain.

Sources at Envision Group indicate that the 4 GWh flagship plant at the Envision Jingyi Chagan Hada Energy Storage Power Station could be the world’s largest single-site electrochemical energy storage facility. However, this claim has yet to be independently verified by a third party. Nevertheless, the commercial operation of Inner Mongolia’s storage cluster signifies a new phase in China’s utility-scale energy storage technology, providing essential support for large-scale renewable energy integration.

Envision Group’s energy storage deployment in Inner Mongolia encompasses multiple technological pathways, including lithium iron phosphate systems, flow batteries, and compressed air energy storage. With the AI dispatch system now online, storage facilities are no longer merely grid buffers but have become direct power infrastructure, ensuring stable electricity supply for regional industrial development.

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