Methodology
How The Impact Model Works
A transparent explanation of the formulas, assumptions, adoption curves, and data sources used to derive the DX1 environmental impact estimates.
Overview
Core Model Logic
The DX1 impact model is a counterfactual exercise: it asks what the cumulative environmental outcome would have been if DX1 had been adopted by a growing share of diesel vehicle and equipment operators beginning with California in 1994, expanding nationally in 2001, and reaching global markets by 2011.
Each scenario uses published fuel consumption baselines for the relevant geography and time period, applies DX1's reported percentage reductions as modeling inputs, and compounds results annually from adoption start to 2026.
CO₂ Formula
Avoided CO₂ = Baseline Emissions × Adoption Rate × 7.00%
Fuel Formula
Fuel Saved = Baseline Consumption × Adoption Rate × 7.24%
Pollutant Formula
Avoided Pollutant = Baseline × Adoption Rate × Pollutant %
Inputs
Key Assumptions
Baseline Fuel Data
U.S. EIA and IEA published diesel consumption figures used as geographic and time-period baselines.
Performance Inputs
DX1 percentage reductions from historical CEE Laboratory testing used as model inputs throughout.
Adoption Curves
Staged adoption growth from 0.5% initial in California to modeled peaks of 33%–55% by 2026.
Conservative PM Estimate
Particulate matter reduction capped at 16.54% conservative value rather than highest observed.
No Certification
Outputs are estimates only. Not verified by regulatory bodies or carbon-credit certification standards.
Annual Compounding
Results accumulate year-over-year from adoption start date to 2026 across each scenario.