We should place equal emphasis on practice and empowerment and promote sustainable development through innovation

INTKM01 It is better to act than to sit and talk. Zhang Lei introduced that today, artificial intelligence has become an important growth point for Schneider Electric’s business. Whether it is the AI research and development layout widely spread in China and even the world, or the integration and innovation jointly launched with ecological partners in various industries, Schneider Electric has been able to deeply integrate AI technology with a wide range of application scenarios as early as possible, and take the lead in becoming a “practitioner” and “enabler” to promote energy transformation with AI technology.

A vivid example is that Schneider Electric’s Wuxi plant has become a world-class “end-to-end lighthouse factory” through digital transformation. The EcoStruxure microgrid energy consultant used in the project greatly improves the performance of energy scheduling based on intelligent AI algorithms, and realizes the ability to predict energy consumption and local production ahead of the day. With the help of this factor, the lighthouse plant achieved 100% green electricity consumption on the basis of ensuring 100% safe and reliable operation of the system, and the average KWH cost of the plant during operation was reduced by 7%.

Schneider Electric Wuxi zero carbon lighthouse manufacturing demonstration park

At the same time, Schneider Electric is also actively playing the role of “enabler” to actively help industry users to meet energy efficiency challenges with artificial intelligence. Taking the cooperation between Swire Properties and Schneider Electric as an example, in the case of energy saving bottleneck relying solely on traditional building automation system, Schneider Electric based on digital energy management platform and AI algorithm, helped Swire Properties to carry out cold and heat load prediction, cold station start-stop strategy optimization and seawater group control strategy optimization, improving the prediction accuracy to more than 95%. And achieve energy savings of more than 5%.

INTKM01 For another example, in the HVAC energy-saving renovation project of the Bank of Dalian Data Center, Schneider Electric optimized the terminal precision air conditioner in the machine room based on AI algorithm and machine learning, making it perform dynamic cooling output according to actual needs, and made global improvements to the control system of the cold station, finally achieving a 31% reduction in power consumption of the terminal air conditioning system. The cooling efficiency of the cold station is expected to increase by 20%.

Looking forward to the future, with the deepening of the emerging technology iteration innovation and application, AI technology will certainly write a more in-depth brush in the chapter of green sustainable development. Schneider Electric will also work more closely with ecological partners from various industries, with artificial intelligence technology as a strong engine, and continue to inject surging momentum to promote the energy transformation and sustainable development of the whole society.