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Siemens Accelerates AI Integration to Break the Dilemma of Low-Carbon Transformation

August 01,2025

Introduction
With the global energy mix accelerating toward renewable energy, rising electrification levels, and the increasingly urgent need for energy efficiency optimization, artificial intelligence (AI) has become a key driver of sustainable transformation. As a pioneer in industrial AI, Siemens has been investing in AI since the 1970s and boasts over 1,500 AI engineers and over 3,700 AI-related patents. Today, Siemens is deeply integrating generative AI technologies—such as Industrial Copilot and the Industrial Foundation Model (IFM)—into industrial and infrastructure applications, helping customers achieve smarter, greener, and more resilient operations.
At the 2025 World Artificial Intelligence Conference (WAIC) Intelligent Trends Forum, Siemens shared how it is helping customers achieve their low-carbon, intelligent, and efficient operational goals through a series of practical digitalization and low-carbonization solutions.

AI-Enabled Energy and Carbon Management
With carbon neutrality becoming a mandatory requirement, energy and carbon management has evolved from an optional consideration to a must-have. At the policy level, emission constraints are becoming increasingly stringent; at the market level, AI is reshaping traditional management models. Siemens is combining the Internet of Things, digital twins, and intelligent automation to apply AI to critical infrastructure, enabling predictive maintenance, precise energy consumption monitoring, and data-driven decision optimization.
Siemens provides customers with a comprehensive solution spanning the entire "source-grid-load-storage" chain. On the power generation side, it includes energy planning simulation and an integrated energy management platform, combined with intelligent microgrid controllers; on the grid side, it provides environmentally friendly switchgear, intelligent distribution simulation, and operations and maintenance services; and on the power consumption side, it leverages advanced control products and software to achieve precise energy optimization.
The core platform, Smart ECX, integrates artificial intelligence algorithms to predict energy supply and demand, optimize power source-load interaction, and help companies conduct carbon inventory and emission reduction planning. The platform also includes a built-in "Energy Carbon Assistant" that facilitates policy and technical Q&A, energy consumption data query, bill analysis, and energy audit report generation.
These capabilities have already yielded significant results. For example, a zero-carbon smart factory, using Smart ECX and the MGMS platform, monitors electricity, water, gas, and heat consumption, reducing CO2 emissions by nearly 600 tons annually. Another factory achieved 100% green electricity consumption and significantly reduced costs and carbon emissions by utilizing Smart ECX and SICAM A8000.

Precise Optimization of Efficient Refrigeration
While Smart ECX handles overall energy and carbon management, the Smart Cooling Cube AI Box focuses on optimizing high-energy-consuming components like refrigeration rooms.
Refrigeration rooms traditionally rely on manual adjustments, resulting in limited energy savings. The AI Box integrates edge computing, machine learning, and mechanism models to optimize equipment operating parameters in real time, predict cooling loads, and optimize operating conditions based on indoor and outdoor conditions. A built-in AI operation and maintenance agent continuously analyzes building operation data, identifies anomalies, and autonomously adjusts policies.
In a 15,000-square-meter campus, the AI Box reduced cooling system energy consumption by approximately 26%, while also reducing the need for equipment room maintenance personnel to zero. Deployment can be completed in 3-4 days. This algorithm logic can also be extended to other infrastructure, such as compressors and elevators, enabling unmanned energy-saving optimization.

AI Powers Scalable Low-Carbon Solutions
The implementation of new industrial technologies often relies on benchmark cases. Siemens' Smart ECX, MGMS, and AI Box are widely used in new power systems, zero-carbon factories, smart buildings, and low-carbon industrial parks, achieving a win-win situation in energy conservation and efficiency.
AI is becoming a core driver for intelligent, efficient, and green infrastructure development. Replicable success stories are accelerating the pace of digitalization and low-carbon transformation in the industry.

Conclusion
AI has evolved from a concept into a practical tool for low-carbon transformation. Siemens combines advanced analytics, industrial experience, and a scalable platform to help companies achieve the dual goals of environmental protection and efficiency. Through comprehensive implementation from planning to implementation, Siemens is leading the industry towards a green and intelligent future.

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