Implementation guide
Automate Scope 1 & 2 Emissions Data
Detailed training workflow for Automate Scope 1 & 2 Emissions Data in EHS & Safety.
ehsesg
Guided walkthrough
Problem: ESG reporting requires manually collecting utility bills, fleet data, and refrigerant logs across dozens of sites. Data Aggregation Upload utility bills, fuel receipts, and fleet mileage logs. Emission Factor Application AI applies the correct factors from EPA/IEA databases. Carbon Conversion AI applies EPA/IEA emission factors to calculate your monthly carbon footprint.
Advanced implementation notes
GHG Protocol-Compliant Carbon Accounting Organizational Boundary Setting AI applies either the Equity Share, Financial Control, or Operational Control approach per GHG Protocol guidance. Documents the boundary justification for auditor review. Scope 1 Direct Emissions Process: stationary combustion (boilers, generators), mobile combustion (fleet), process emissions (chemical reactions), fugitive emissions (refrigerant leaks, SF6). AI applies source-specific emission factors from EPA AP-42. Scope 2 Indirect Emissions AI calculates both Location-Based
(eGRID factors) and Market-Based (utility-specific emission factors, RECs, PPAs) per GHG Protocol Scope 2 Guidance. Dual reporting is now best practice. Quality Assurance Protocol AI runs data quality checks: completeness (all months covered?), consistency (year-over-year anomaly detection), accuracy (unit conversion validation), and transparency (source documentation linked). TCFD/CDP/SBTi Reporting Auto-generate reports formatted for: CDP Climate questionnaire, TCFD recommendations framework, and SBTi target validation. AI maps your data directly to
the required disclosure fields. Use the Market-Based method for Scope 2 if you purchase RECs or have PPAs — it better reflects your actual climate impact and purchasing decisions. Track refrigerant data meticulously — a single HFC-410A leak event can equal the emissions of 100,000 miles of fleet driving. Set a Science-Based Target (1.5°C pathway) using AI to model reduction scenarios: electrification, efficiency, and renewable procurement. Don't report Scope 2 using only location-based factors if you've invested in renewable energy — you lose credit for
your clean energy purchases. Don't estimate when actual data is available — CDP scores companies on data quality, and estimates receive lower confidence scores. Don't ignore Scope 3 indefinitely — it typically represents 70-90% of total emissions. Start with categories 1 (purchased goods) and 6 (business travel). The 'Carbon Budget' Approach Use AI to set departmental carbon budgets just like financial budgets. Each facility receives an annual tCO2e allocation. AI tracks monthly 'spending' against budget and alerts managers when they're trending 10% over
forecast — making carbon management as routine as financial management.