AI Engines Activate Green Transformation

At a critical juncture in the global journey toward a sustainable future, artificial intelligence (AI) is becoming a core driver of energy transformation. As a leader in industrial AI, Siemens began AI research and development as early as 1970 and today boasts 1,500 AI engineers and over 3,700 AI patents. Siemens is deeply integrating generative AI (such as Industrial Copilot) and the Industrial Foundation Model (IFM) into industrial applications, driving intelligent, low-carbon transformation across power, buildings, and infrastructure.

Smart Energy Carbon Management Platform Leads the Way for Low-Carbon Upgrades Across the Entire Supply Chain

At the 2025 World Artificial Intelligence Conference, Lin Bin, Vice President of Siemens China, demonstrated how the Smart ECX Smart Energy Carbon Management Platform precisely helps customers achieve integrated management of power generation, grid, load, and storage. Based on AI algorithms, the platform enables energy supply and demand forecasting, carbon data monitoring, carbon emissions planning, and automated audit report generation. The Shandong Rockmason Smart Factory leverages this platform to reduce annual CO2 emissions by 600 tons and achieve 100% carbon offsetting with renewable energy.

Digital Microgrid Solutions Set a Zero-Carbon Benchmark

In Nanjing, Siemens CNC Co., Ltd. deployed Smart ECX and SICAM A8000 to achieve global monitoring of factory energy flows, carbon footprint analysis, and dynamic optimization of sources, grids, loads, and storage. The newly built factory saves 5.06 million kWh of electricity, 6,286 cubic meters of water, and reduces carbon emissions by 3,325 tons annually. The platform provides real-time power load forecasting, effectively improving green electricity consumption and operational efficiency, demonstrating a practical example of AI-enabled "zero-carbon factories."

Smart Cooling Cube AI Box Enables Efficient Cooling Management

Targeting high-energy consumption in cooling rooms, Siemens has launched the Smart Cooling Cube AI Box. Integrating edge computing and AI algorithms, it automatically optimizes the operating status of equipment like air conditioners and chillers, reducing energy consumption by up to 26%. At the Beijing BSCE campus, this solution also enables "unmanned" operation of the equipment room, reducing the number of daily maintenance personnel from one to zero, significantly improving O&M efficiency and reducing labor costs.

Rapid Deployment, Multi-Scenario Replication and Promotion

The Smart Cooling Cube AI Box boasts rapid implementation within 3-4 days and is suitable for a variety of energy-intensive applications, including refrigeration, compressors, and elevators. It also features self-learning and continuous iteration, enabling unmanned energy-saving optimization. Siemens has also deployed related AI solutions in several leading projects, including the Beijing Solar Storage and Direct Flexibility Business Hall and the Changshu MOBO Park, to validate their universal applicability and replicability.

Conclusion: Making AI a Green Engine for Every Enterprise

Siemens is continuously implementing AI technology and delivering practical results to promote the coordinated development of industrial digitalization and low-carbon development. From the Smart ECX and MGMS energy platforms to the Smart Cooling Cube AI Box, Siemens is transforming AI's practical application into tangible results in green emissions reduction. Going forward, Siemens will continue to collaborate with Chinese partners to explore new opportunities in digitalization and green transformation, driving numerous industries into a new era of low-carbon intelligence.

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