The Challenge
A manufacturing facility's sustainability team estimated annual Scope 1 + 2 emissions at ₹5 crore CO2e using regional grid averages and estimated utility consumption. They set a 25% reduction target based on this estimate.
What Became Visible
Granular utility + energy source tracking revealed: (1) Grid connection consumed 850 MWh (estimated at 0.68 kg CO2/kWh = 578 tons CO2). Actual emission factor was 0.78 kg CO2/kWh (663 tons) due to coal-heavy regional grid. (2) Diesel generators consumed 31,000 liters (estimated at 2.3 kg CO2/liter = 71 tons). Actual was 2.38 kg CO2/liter (74 tons). (3) Compressed air energy losses (not previously counted) added 180 tons CO2e (electricity for wasted compressed air). Actual Scope 1+2 emissions were 917 tons CO2e — 44% higher than ₹5 crore estimate.
What Changed
Facility-specific carbon accounting established. Real grid emission factors sourced from regional utility. All energy consumption (including waste/loss) quantified and converted to carbon.
How it worked: The facility implemented granular energy tracking: electricity → grid-factor-specific CO2, diesel → fuel-specific CO2, compressed air losses → converted to electricity → CO2. Actual emissions baseline established at 917 tons CO2e. Sustainability targets were recalibrated to realistic 25% reduction (229 tons) within 3 years.
Results
using generic factors
facility-specific accounting
initial estimates were too low
and stakeholder-approved
Generic carbon estimates understate actual emissions by 20–50% due to regional grid factors and ignored losses. Real baselines are critical for credible sustainability targets.
Operational Reality
Most facilities discover their actual emissions are 30–50% higher than initial estimates when they measure accurately.