Zoetic Global’s in-field replaceable refrigerant was designed to reduce HVAC and refrigeration energy consumption. However, multiple internal and external variables—such as ambient temperature, humidity, equipment make and model, and operational load—directly influenced its performance. Zoetic lacked a system to track these variations in real-time and correlate them with actual energy savings. Without clear insights, predicting long-term efficiency and optimizing maintenance cycles was a challenge.
Collected real-time energy consumption data from embedded energy meters, integrated with HVAC performance logs and environmental sensor data (temperature, humidity, air pressure).
Contextualized HVAC energy efficiency metrics by analyzing historical data, load conditions, and external climate factors to determine energy savings per run-hour.
A centralized analytics dashboard provided real-time visualization of energy efficiency trends, allowing performance benchmarking across different HVAC systems.
- Optimized HVAC performance—Data-driven insights enabled Zoetic to adjust refrigerant usage dynamically, ensuring maximum efficiency.
- Significant energy savings—Precise tracking of power consumption per hour allowed businesses to quantify savings and ROI.
- Automated efficiency benchmarking—Comparisons across various HVAC makes and models enabled better future procurement decisions.
- Predictive maintenance enabled—The system flagged early signs of energy inefficiency, allowing for proactive maintenance and longer equipment lifespan.
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