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Carbon GPT Carbon GPT Carbon GPT

Measure and Track

Accurately measuring emissions is the foundation of effective carbon accounting. Carbon GPT provides a powerful and flexible system for capturing and calculating your organization's emissions across a wide range of activities and sectors.

Supported Emission Categories

Carbon GPT supports approximately 70 different activity categories across 12 sectors, covering over 2000 specific item categories/classes. This comprehensive coverage ensures that you can accurately account for all your organization's emission sources.

Emission Categories by Scope

Scope 1 (Direct Emissions)

  • Stationary Combustion
  • Mobile Combustion
  • Process Emissions
  • Fugitive Emissions

Scope 2 (Indirect Emissions from Purchased Energy)

  • Purchased Electricity
  • Purchased Steam
  • Purchased Heating
  • Purchased Cooling

Scope 3 (Other Indirect Emissions)

  • Purchased Goods and Services
  • Capital Goods
  • Fuel and Energy-Related Activities
  • Upstream Transportation and Distribution
  • Waste Generated in Operations
  • Business Travel
  • Employee Commuting
  • Upstream Leased Assets
  • Downstream Transportation and Distribution
  • Processing of Sold Products
  • Use of Sold Products
  • End-of-Life Treatment of Sold Products
  • Downstream Leased Assets
  • Franchises
  • Investments

Carbon Calculator

Carbon GPT's calculator supports multiple calculation methodologies to accommodate different data availability scenarios:

Spend-Based Calculations

  • Uses financial data (monetary values)
  • Applies emission factors based on economic input-output models
  • Ideal for initial estimates or when activity data is unavailable
  • Supports multiple currencies and regional factors

Activity-Based Calculations

  • Uses physical quantities (kWh, liters, kilometers, etc.)
  • Applies specific emission factors for each activity
  • Provides more accurate results than spend-based calculations
  • Supports various units of measurement with automatic conversion

Data Entry Methods

Manual Entry

  • Intuitive form-based interface
  • Step-by-step guidance
  • Built-in validation
  • Contextual help and suggestions

Bulk Upload

  • Excel template downloads
  • Validation before import
  • Error correction assistance
  • Historical data import

Templates

  • Create reusable templates for recurring activities
  • Save time on repetitive data entry
  • Ensure consistency across reporting periods
  • Share templates across your organization

Managing Emission Sources

Adding New Emission Sources

  • Categorization by scope and activity type
  • Facility and asset assignment
  • Custom tags and metadata
  • Documentation and notes

Editing and Updating

  • Modify existing entries
  • Bulk updates
  • Version history
  • Audit trail

Archiving and Deletion

  • Archive outdated sources
  • Maintain historical record
  • Selective deletion with safeguards
  • Data retention controls

Data Quality Management

Validation Rules

  • Automatic outlier detection
  • Completeness checks
  • Consistency verification
  • Unit conversion validation

Quality Scoring

  • Overall data quality metrics
  • Source-specific quality indicators
  • Improvement recommendations
  • Verification status tracking

Audit Trails

  • Comprehensive change logging
  • User attribution
  • Timestamp tracking
  • Comment and justification recording

Best Practices

Setting Up Your Emission Sources

  • Start with major emission sources
  • Use appropriate calculation methodologies
  • Document assumptions and data sources
  • Establish consistent naming conventions

Ensuring Data Quality

  • Implement regular review processes
  • Validate against historical data
  • Cross-check with alternative calculation methods
  • Document data collection procedures

Streamlining Data Collection

  • Create templates for recurring activities
  • Train multiple team members on data entry
  • Establish clear data collection schedules
  • Leverage automation where possible