Distance-based emission factors from vehicle emission remote sensing measurements

Area of Science:

• Environmental Science
• Automotive Engineering
• Atmospheric Chemistry

Background:

• Vehicle emission remote sensing offers high-resolution data on pollutant emissions.
• Current methods struggle to convert direct measurements into distance-based emission factors (e.g., grams per km).
• Accurate distance-based emission factors are crucial for regulatory compliance and environmental impact assessments.

Purpose of the Study:

• To develop and validate a novel method for calculating distance-based vehicle emission factors from remote sensing data.
• To utilize vehicle specific power (VSP) as a key parameter for estimating fuel consumption.
• To enhance the utility of remote sensing data for real-world emissions analysis.

Main Methods:

• A new approach was developed using vehicle specific power, derived from vehicle speed, acceleration, and mass.
• The method was validated against 55 independent Portable Emissions Measurement System (PEMS) datasets.
• Data encompassed Euro 5 and 6 gasoline and diesel vehicles across diverse driving conditions.

Main Results:

• The developed method demonstrated good agreement with PEMS measurements.
• Distance-based emission factors were successfully quantified for individual vehicle model types.
• The approach proved effective in converting remote sensing measurements into practical emission metrics.

Conclusions:

• The vehicle specific power-based method provides a reliable way to estimate fuel consumption from remote sensing data.
• This technique significantly enhances the ability to derive real-world, distance-based emission factors.
• The method is suitable for large-scale application to vehicle emission remote sensing databases, improving emissions inventory accuracy.