1. Modeling and data collection: Through modeling and visualization application of the cold station system, collection and cleaning of environmental data, real-time and historical operation data of the system, and active test data are carried out to ensure the accuracy and integrity of the data and provide data support for energy consumption analysis.

2. Accurate prediction: AI algorithm models such as AutoML automated machine learning engine are used to process and calculate various data, and the load of chillers/cold stations is predicted at the minute level, helping enterprises to accurately control the energy demand.

3. 1791DS-1B8XOB8 Optimization solution: Relying on the mechanism framework and deep learning technology, establish a device-level performance prediction model to help enterprises to proactively forecast and optimize.

4. Policy output: By calculating and comparing tens of thousands of control parameter combinations under the same load, the control parameter combination with the lowest energy consumption of the system is found, and the optimal control strategy is output for the enterprise.

Schneider Electric’s smart cold station algorithm has been successfully applied to many industries such as commercial buildings, data centers, semiconductors and automotive. In the HVAC energy-saving optimization project of a bank data center, Schneider Electric intelligent cold station solution optimized the chiller site, adjusted the pump frequency control according to the temperature difference, adjusted the water supply temperature and the water supply and return temperature difference setting value according to the load demand. At the same time, the optimal control strategy is provided for the chiller under three scenarios: safe mode, low power performance mode and high power performance mode. One week after the optimization strategy was implemented, the results showed that the rated operating condition performance (COP) of the data center chiller improved by nearly 20% and the average power consumption decreased by 16.4%.

1791DS-1B8XOB8 Driven by scene application, with the goal of improving quality and efficiency and continuous optimization, the rapid development and rapid iteration of AI technology has brought unprecedented wisdom and strength to the development of the industry. Schneider Electric’s application data in its own factories and dozens of industry-leading customers show that AI-based solutions can help users achieve annual energy consumption reduction of 5%-10% and efficiency improvement of 3%-5%.

As a global industrial technology leader, Schneider Electric is committed to continuously empowering the digital intelligence transformation of thousands of industries by integrating advanced technologies such as AI. On June 6, Schneider Electric will hold the 2024 Innovation Summit with the theme of “Double Progress, New Wisdom”. The site will open the theme of “AI accelerates digital transformation, towards a new era of intelligence”, and showcase more innovative technologies and successful practices for industry and energy fields, helping industry accelerate towards an efficient and sustainable future! Stay tuned.