Capturing the Variability in Instantaneous Vehicle Emissions Based on Field Test Data Article Swipe
Zhiqiang Zhai
,
Ran Tu
,
Junshi Xu
,
An Wang
,
Marianne Hatzopoulou
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/atmos11070765
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/atmos11070765
Emission models are important tools for traffic emission and air quality estimates. Existing instantaneous emission models employ the steady-state “engine emissions map” to estimate emissions for individual vehicles. However, vehicle emissions vary significantly, even under the same driving conditions. Variability in the emissions at a specific driving condition depends on various influencing factors. It is important to gain insight into the effects of these factors, to enable detailed modeling of individual vehicle emissions. This study employs a portable emissions measurement system (PEMS), to collect vehicle emissions including the corresponding parameters of engine condition, vehicle activity, catalyst temperature, geography, and meteorology, to analyze the variability in emission rates as a function of those factors, across different vehicle specific power (VSP) categories. We observe that carbon dioxide, carbon monoxide, nitrogen oxides, and particle number emissions are strongly correlated with engine parameters (engine speed, torque, load, and air-fuel ratio) and vehicle activity parameters (vehicle speed and acceleration). In the same VSP bin, emissions per second on highways and ramps are higher than those on arterial roads, and the emissions when the vehicle is traveling downhill tend to be higher than the emissions during uphill traveling, because of higher observed speeds and accelerations. Morning emissions are higher than afternoon emissions, due to lower temperatures.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/atmos11070765
- https://www.mdpi.com/2073-4433/11/7/765/pdf
- OA Status
- gold
- Cited By
- 29
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3043341676
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3043341676Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/atmos11070765Digital Object Identifier
- Title
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Capturing the Variability in Instantaneous Vehicle Emissions Based on Field Test DataWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-07-20Full publication date if available
- Authors
-
Zhiqiang Zhai, Ran Tu, Junshi Xu, An Wang, Marianne HatzopoulouList of authors in order
- Landing page
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https://doi.org/10.3390/atmos11070765Publisher landing page
- PDF URL
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https://www.mdpi.com/2073-4433/11/7/765/pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2073-4433/11/7/765/pdfDirect OA link when available
- Concepts
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Environmental science, Bin, Engine power, Greenhouse gas, Nitrogen oxide, Air quality index, Automotive engineering, Meteorology, NOx, Atmospheric sciences, Power (physics), Combustion, Engineering, Geology, Quantum mechanics, Chemistry, Mechanical engineering, Ecology, Organic chemistry, Physics, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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29Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 4, 2023: 6, 2022: 2, 2021: 11Per-year citation counts (last 5 years)
- References (count)
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16Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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