Your chiller is the heart of your industrial HVAC system—but how efficiently is it running? With modern sensors and machine learning, data-driven optimization can unlock major performance gains.
What It Involves:
- Monitoring: water temperatures, flow rates, energy usage, weather conditions
- Modeling: ML algorithms identify inefficiencies and suggest real-time adjustments
- Optimization: predictive sequencing of chillers, pumps, and cooling towers
Why It Works in Industrial Spaces:
- 7–15% Energy Savings on average
- Improved Redundancy Management
- Reduced Downtime from predictive maintenance
- Real-time Reporting for audits or sustainability tracking
Temple Approach:
We design chiller control systems that integrate seamlessly with existing BAS platforms.
👉 Ready to modernize your chiller plant? Temple can help you turn data into action.
