chip foundry leader TSMC promotes green manufacturing , actively improves the efficiency of energy resource utilization with innovative thinking, continues to optimize the energy-saving model of ice and water system through machine learning methods, and further develops three major functions: "single-function abnormal detection of abnormal operation of abnormality", "multi-machine operation load prediction", and "system pressure control optimization". It was successfully introduced into Chip 15A Factory in January 2022. As of November, a total of 2 million kWh of electricity was saved and 1,000 tons of carbon reduction will be reduced. In 2023, all 12-inch chip factories in Taiwan will be introduced into the new factory standard design, and it is expected to create another annual power saving of 100 million kWh and 50,000 tons of carbon reduction.
TSMC stated that the ice water system is mainly composed of ice water host, cooling water pump , cooling water tower , ice water pump, heat recovery and other auxiliary equipment. The chip production process must rely on the ice water system for cooling to stabilize the dust-free room temperature and humidity for the machine to operate; in order to improve the operational benefits of the ice water system, TSMC's factory has developed machine learning models for ice water single host, ice water multi-host and ice water system, creating three innovative functions to improve the reliability of equipment operation and enhance energy use efficiency.
TSMC emphasized that the company is actively investing in green innovation. In addition to continuously developing energy-saving models for ice and water systems to optimize operation efficiency, it also evaluates and transforms hardware equipment, and creates more energy-saving opportunities and benefits through dual upgrades of software and hardware, and moves towards the sustainable goal of achieving net zero emissions by 2050.
(First picture source: TSMC)
