Core Insights - The article discusses the launch of the world's largest AI-driven power system by Yuanjing at the 2025 Chifeng Zero Carbon Industry Conference, aimed at facilitating the green transformation of industries through integrated solutions for energy sources, networks, loads, storage, and direct green electricity connections [2] Group 1: Green Electricity Direct Connection - The green electricity direct connection is identified as a crucial pathway for the zero-carbon transformation in the chemical industry, enhancing the proportion of green energy and reducing energy costs while providing a "green passport" for export-oriented enterprises [5] - Yuanjing's AI power system offers more economical, stable, and greener electricity for various sectors, including chemicals, steel, and new materials, transforming renewable energy into a driving force for industrial development [4] Group 2: Project Implementation and Achievements - The integrated source-network-load-storage project developed in collaboration with Xiangfu Technology under the Xiyang Group has become a benchmark for green electricity direct connection, supplying 580,000 kW of green electricity for a production capacity of 200,000 tons of negative electrode materials, with over 60% of electricity sourced from green energy [4] - The Yuanjing Chifeng green hydrogen and ammonia project is noted as the world's largest, achieving 100% green electricity direct connection and utilizing a 2GW-level independent AI power system for dynamic coupling of the entire "wind-solar-storage-hydrogen-ammonia" chain [8][10] Group 3: Technological Innovations - The AI power system integrates the "Yuanjing Tianji" meteorological model and the "Yuanjing Tianshu" energy model, covering planning, forecasting, scheduling, and operation stages, with capabilities for global perception, real-time scheduling, and self-learning [10] - The system has demonstrated a 10% improvement in power prediction accuracy and a 20% reduction in electricity costs through high-precision power forecasting and intelligent scheduling, effectively addressing the challenges of renewable energy volatility [12]
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