Chiller Optimization

Phase 1 builds a baseline performance model from historical data. Phase 2 applies real-time adaptive optimization, continuously learning from operating conditions to minimize kW/ton.

Raises chilled water supply temperature setpoint during partial-load conditions. Monitors valve positions and zone temperatures to find the optimal balance between chiller efficiency and comfort.

IPMVP-compliant measurement and verification reporting. Tracks baseline vs. optimized energy consumption with weather-normalized regression models for accurate savings quantification.

Multi-layer protection including approach temperature limits, leaving water temperature guards, condenser pressure monitoring, and automatic fallback to BAS control on anomaly detection.