Data‑Driven Chiller Plant Optimization in Industrial HVAC

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.