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Modelling CO 2 Emissions from Vehicles Fuelled with Compressed Natural Gas Based on On-Road and Chassis Dynamometer Tests

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  • Maksymilian Mądziel

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 35-959 Rzeszow, Poland)

Abstract

In response to increasingly stringent global environmental policies, this study addresses the pressing need for accurate prediction models of CO 2 emissions from vehicles powered by alternative fuels, such as compressed natural gas (CNG). Through experimentation and modelling, one of the pioneering CO 2 emission models specifically designed for CNG-powered vehicles is presented. Using data from chassis dynamometer tests and road assessments conducted with a portable emission measurement system (PEMS), the study employs the XGBoost technique within the Optuna Python programming language framework. The validation of the models produced impressive results, with R 2 values of 0.9 and 0.7 and RMSE values of 0.49 and 0.71 for chassis dynamometer and road test data, respectively. The robustness and precision of these models offer invaluable information to transportation decision-makers engaged in environmental analyses and policymaking for urban areas, facilitating informed strategies to mitigate vehicular emissions and foster sustainable transportation practices.

Suggested Citation

  • Maksymilian Mądziel, 2024. "Modelling CO 2 Emissions from Vehicles Fuelled with Compressed Natural Gas Based on On-Road and Chassis Dynamometer Tests," Energies, MDPI, vol. 17(8), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:8:p:1850-:d:1374738
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    References listed on IDEAS

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    1. Bielaczyc, Piotr & Woodburn, Joseph & Szczotka, Andrzej, 2014. "An assessment of regulated emissions and CO2 emissions from a European light-duty CNG-fueled vehicle in the context of Euro 6 emissions regulations," Applied Energy, Elsevier, vol. 117(C), pages 134-141.
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