Building a Smarter Water Cooling Network of 30000+ Meters

At a Glance

Key challenges faced by the utility:

Billing cycle issues: Two separate billing cycles, resulting in delays & errors since exports were handled manually. 

Gateway blind spots: When one meter gateway was down, it appeared as if multiple child meters were not functioning, resulting in unnecessary field visits. 

Too many alarms: The system generated 60+ alarms creating too much noise, without a framework to identify which ones truly mattered. 

False breach alerts: Without cadence-aware SLAs, the system flagged certain meters even when they were behaving as expected.  

Cooling system performance risks: Water cooling KPIs (Delta-T, and flow) were not properly monitored, meaning issues like ‘zero energy’ went unnoticed. 

Grid in Action (How It Was Implemented)

Cadence aware communication monitoring

Meter communication was evaluated as per each device’s actual reported rhythm. This means teams can track SLAs realistically without triggering false alerts. 

Curated alarm prioritization

60+ device and rule-based alerts were structured into meaningful categories, enabling operations teams to focus on actionable issues. 

Cooling performance analytics

Cooling system KPIs such as energy, flow, supply & return temperature are now being monitored continuously to detect anomalies early on. 

Automated dual billing cycles 

The system automatically manages two billing cycles, creating a consistent report generation framework and minimizing manual handling. 

Grid in Numbers‍

• 99%+ on-time billing exports across two cycles and several regions 
• 40-45% reduction in false breach alerts 
• 12-18% decrease in billing-related anomalies 
• 20-30% drop in unnecessary field visits with gateway-aware visibility

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