Based on the model, it can predict the impact of changes in ambient air temperature and humidity on the post-air-conditioning temperature and humidity. Meanwhile, it adjusts multiple operational methods (heating, cooling, and humidification/dehumidification) to overcome the aforementioned disturbances, ensuring that the post-air-conditioning temperature and humidity remain within the set range. Compared with feedback control that responds after actual deviations occur, this model-based predictive control is more accurate, resulting in smaller fluctuations in the post-air-conditioning temperature and humidity. Additionally, the solution of simultaneously adjusting heating, cooling, and humidification/dehumidification is an optimized approach that not only meets the set targets for post-air-conditioning temperature and humidity but also minimizes energy consumption.humidity control is an optimization solution that can not only meet the temperature and humidity setting targets after air conditioning, but also minimize energy consumption.

It has a 30-year application history in process industries such as petroleum refining and chemical engineering. In Europe, Honeywell has implemented model-based optimization control for Air Supply Handling (ASH) systems in coating workshops of multiple automobile manufacturers.

Energy Conservation, Enhanced Temperature & Humidity Precision, and Process Stability Improvement.

It coordinates and decouples the interactions of multiple process variables, integrates optimization capabilities to drive the application toward specified design objectives, and monitors and maintains manipulated variables (MVs) and controlled variables (CVs) during the control process.