The Challenge
A facility operated three generators (250 kVA, 125 kVA, 62 kVA) running during peak demand and grid-failure events. Total monthly fuel cost was ₹14–16 lakhs. No one tracked fuel consumption against actual power output.
What Became Visible
Real-time correlation of fuel consumption with generator output revealed significant variance: 250 kVA generator produced 45–50 kWh per liter, 125 kVA generator produced 38–42 kWh per liter, and 62 kVA generator produced 35–38 kWh per liter (expected ~48, 44, and 40 kWh/liter respectively). The 250 kVA generator was 8–10% less efficient than expected; the other two were 6–12% below baseline. Cumulative efficiency loss indicated aging engines requiring maintenance.
What Changed
Fuel consumption per kWh tracked in real-time for each generator. Efficiency baseline established. When any generator drops >5% below baseline, maintenance alert is triggered.
How it worked: The three generators received preventive service — injector cleaning, filter replacement, oil analysis. Within 2 weeks post-service, fuel efficiency returned to baseline for all three units. The 250 kVA generator's efficiency improved 9.2%, indicating accumulated carbon buildup had impaired combustion.
Results
post-maintenance
baseline restored
within 2 weeks
from improved efficiency
Generator fuel efficiency is one of the most direct indicators of engine health. Efficiency degradation of 5–10% is an early warning of maintenance issues. By the time efficiency drops 20%+, the engine is near failure.
Operational Reality
Most facilities discover 5–15% efficiency degradation in their generators when they first measure fuel consumption per kWh. The issue is invisible without the correlation.