Processes, Год журнала: 2024, Номер 12(12), С. 2615 - 2615

Опубликована: Ноя. 21, 2024

The Make-up Air Unit (MAU) is an air conditioning system which plays important role in serving semiconductor cleanrooms. It provides constant temperature and humidity for fresh through various sections, including filtration, preheating, precooling, humidification, recooling, reheating, supply, high-efficiency filtration. However, the commonly used PID control method of MAU indicates a deficiency energy consumption. Hence, this research introduces proactive energy-saving optimization based on machine learning intelligent algorithms. Firstly, methods are to train historical data MAU, resulting data-driven prediction model consumption system. Subsequently, customized genetic algorithm (GA) optimize cold hot water systems. facilitates dynamic adjustment regulating valve opening coil unit, responding real-time variations outdoor conditions. Meanwhile, it ensures that supply humidification adhere specified requirements, thereby reducing associated with usage MAU. experimental results indicate proposed can provide significant conservation

Язык: Английский