Renewable Energy → AI Computing Centers
Green Power Direct Connection
By 2030, electricity consumption by AI computing centers in China is projected to exceed 700 TWh, with electricity costs accounting for more than 60% of operating costs. Integrating computing power with energy and enabling direct access to green power can significantly reduce electricity costs.
Reliable Power Supply
Through grid-forming energy storage and multi-energy integration, coordinated power and computing systems provide stable electricity and millisecond-level backup power for AI computing centers supporting high-power, highly dynamic workloads.

AI Computing Centers → Renewable Energy
Renewable Energy Consumption
With high and continuous electricity demand, AI computing centers can serve as a stable consumption channel for new wind and solar generation, supporting large-scale renewable energy integration.
Virtual Power Plants
As flexible power loads, computing centers can dynamically adjust electricity consumption—reducing non-critical workloads during peak-price periods and operating at higher capacity during off-peak periods—to optimize energy costs.
AI-Enabled Energy Management
Data centers can be aggregated into virtual power plant resource pools, with their electricity demand coordinated through grid dispatch systems to provide ancillary services such as frequency regulation, peak shaving and reserve capacity.