Model Predictive Control (MPC) is a mature advanced process control technology with decades of successful application across process industries. It enables coordinated control of multiple interacting variables and provides a proven foundation for HVAC optimization.

Integrated hardware and software provide reliable infrastructure for real-time data acquisition, process monitoring, optimization, and automated HVAC control.

Model-based optimization improves temperature and humidity control while dynamically minimizing unnecessary heating and cooling loads, helping maintain stable coating conditions and reduce energy consumption.

The control model analyzes interactions among multiple process variables and coordinates manipulated variables to achieve defined temperature, humidity, and energy-efficiency targets. Continuous monitoring and dynamic optimization enable stable and efficient HVAC operation.