IoT Cold Storage Monitoring with On-Demand Chiller Control for Energy-Efficient Dark Store Operations
Zomato Blinkit
UN SDG 9 - Industry, Innovation and Infrastructure
Bengaluru, India
Pain Points
Uncontrolled cooling increased energy use and caused uneven temperatures across cold storage zones.
Invisible Energy Wastage
Chillers ran continuously without demand signals, increasing power use during low-cooling periods.
Risk of Product Spoilage
High temperatures threatened product quality, while overcooling increased energy consumption.
Manual Cooling Operations
Manual control reduced consistency and delayed response to temperature changes across dark stores.
Our Offerings
Deployed IoT temperature monitoring with automated chiller control based on defined thresholds.
Cold Storage Temperature Monitoring
Continuous sensing provided real-time visibility into temperature conditions across storage zones.
On Demand Chiller Control
Chillers switched on only when temperatures crossed predefined operating thresholds.
Live and Historical Analytics
Dashboards revealed overcooling patterns, temperature drift and inefficient chiller operation.
Optimized Cooling Logic
Automated control balanced product safety, cooling demand and energy efficiency.
Outcomes
8-10% Energy Savings
Demand-based operation reduced unnecessary chiller runtime and lowered cooling energy use.
Stable Cold Storage Temperatures
Automated control maintained more consistent temperatures for perishable inventory.
Reduced Spoilage Risk
Faster response to temperature changes helped protect product quality across dark stores.
Improved Operational Efficiency
Automation reduced manual intervention and improved consistency in daily cooling operations.
On-demand cooling helped achieve 8-10% energy savings while protecting inventory.
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