Python Library For Vehicular Emission Estimation

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Abstract

PyEmission is a Python library for estimation of vehicular emissions and fuel consumption. This tool covers a wide range of light duty motor vehicles including passenger car, SUV, passenger truck, and light commercial truck. The tool only takes second-by-second driving cycle and vehicle characteristics data as inputs and generate results of vehicular emissions (CO2, CO, NOx, and HC) and fuel consumption.
Developers:
Rahman, Mamunur [1] Nguyen, Thuy [1]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
Release Date:
2021-08-06
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Licenses:
Apache License 2.0
Sponsoring Org.:
Code ID:
62606
Research Org.:
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Country of Origin:
United States
Keywords:
Vehicular emissions; CO2 emission; GHG

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Citation Formats

Rahman, Mamunur M., and Nguyen, Thuy. Python Library For Vehicular Emission Estimation. Computer Software. https://github.com/IdahoLabResearch/PyEmission. USDOE Office of Energy Efficiency and Renewable Energy (EERE). 06 Aug. 2021. Web. doi:10.11578/dc.20210820.4.
Rahman, Mamunur M., & Nguyen, Thuy. (2021, August 06). Python Library For Vehicular Emission Estimation. [Computer software]. https://github.com/IdahoLabResearch/PyEmission. https://doi.org/10.11578/dc.20210820.4.
Rahman, Mamunur M., and Nguyen, Thuy. "Python Library For Vehicular Emission Estimation." Computer software. August 06, 2021. https://github.com/IdahoLabResearch/PyEmission. https://doi.org/10.11578/dc.20210820.4.
@misc{ doecode_62606,
title = {Python Library For Vehicular Emission Estimation},
author = {Rahman, Mamunur M. and Nguyen, Thuy},
abstractNote = {PyEmission is a Python library for estimation of vehicular emissions and fuel consumption. This tool covers a wide range of light duty motor vehicles including passenger car, SUV, passenger truck, and light commercial truck. The tool only takes second-by-second driving cycle and vehicle characteristics data as inputs and generate results of vehicular emissions (CO2, CO, NOx, and HC) and fuel consumption.},
doi = {10.11578/dc.20210820.4},
url = {https://doi.org/10.11578/dc.20210820.4},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20210820.4}},
year = {2021},
month = {aug}
}