Operational Optimization

PCE analyzes operational, load and consumption data from building and automation systems to identify technical and energy optimization potential. Based on these findings, control parameters, control strategies and system functions can be adjusted to improve system operation. The objective is energy-efficient operation while maintaining reliable performance of the building automation system and connected technical equipment.

PCE optimizes PID controllers, control parameters and control sequences based on actual system behavior and available operational data. In heating, ventilation and air-conditioning (HVAC) systems in particular, coordinated control strategies can help reduce unnecessary operating conditions and energy consumption. Optimization is performed according to the existing automation technology and the operational requirements of the system.

Load, consumption and operational data provide a data-driven basis for evaluating system performance. PCE analyzes this data to identify abnormal operating conditions, inefficient control parameters and potential optimization opportunities. The resulting findings can then be used to adjust control strategies and automation functions and support continuous improvement of energy efficiency.

Performance monitoring enables continuous evaluation of relevant operational and system data. Combined with fault detection, it can help identify deviations and abnormal operating conditions at an early stage. PCE can also use predictive algorithms to evaluate available operational data and support forward-looking analysis and optimization of system conditions and automation functions.