Examining the role of natural gas and advanced vehicle technologies in mitigating CO2 emissions of heavy-duty trucks: Modeling prototypical British Columbia routes with road grades. (July 2018)
- Record Type:
- Journal Article
- Title:
- Examining the role of natural gas and advanced vehicle technologies in mitigating CO2 emissions of heavy-duty trucks: Modeling prototypical British Columbia routes with road grades. (July 2018)
- Main Title:
- Examining the role of natural gas and advanced vehicle technologies in mitigating CO2 emissions of heavy-duty trucks: Modeling prototypical British Columbia routes with road grades
- Authors:
- Lajevardi, S. Mojtaba
Axsen, Jonn
Crawford, Curran - Abstract:
- Highlights: The CO2 emissions model shows a consistency with relevant literature and experimental data. Neglecting road grade yields underestimation of CO2 emissions by as much as 24%. Both baseline and advanced CNG drivetrains lead to 13–15% CO2 emissions reductions over the diesel counterparts. The advanced CNG and diesel drivetrains emit 51% and 42% less CO2 than the baseline diesel respectively. Abstract: This study presents a simulation framework for estimating on-road CO2 emissions of compressed natural gas (CNG) and diesel tractor-trailer heavy-duty trucks under various operational conditions. A second-by-second component-level model was developed and then used to simulate seven distinct drive cycles. This paper specifically considers road grade, and develops a novel technique to pair road grade profiles with given speed vs. time data when gradient data are not available. Six routes around the Canadian province of British Columbia were used as case study drive cycles, including an extreme hill climb route. Results showed that omission of road grade under-estimates CO2 emissions by as much as 24% for both CNG and diesel drivetrains. Simulations indicated that CNG trucks emit 13–15% less CO2 than comparable diesel trucks, depending on weight class and drive cycle. Sensitivity analyses highlighted the importance of aerodynamic drag, rolling friction, and engine efficiency for all cycles. An assessment of advanced vehicle technology options for CNG trucks showedHighlights: The CO2 emissions model shows a consistency with relevant literature and experimental data. Neglecting road grade yields underestimation of CO2 emissions by as much as 24%. Both baseline and advanced CNG drivetrains lead to 13–15% CO2 emissions reductions over the diesel counterparts. The advanced CNG and diesel drivetrains emit 51% and 42% less CO2 than the baseline diesel respectively. Abstract: This study presents a simulation framework for estimating on-road CO2 emissions of compressed natural gas (CNG) and diesel tractor-trailer heavy-duty trucks under various operational conditions. A second-by-second component-level model was developed and then used to simulate seven distinct drive cycles. This paper specifically considers road grade, and develops a novel technique to pair road grade profiles with given speed vs. time data when gradient data are not available. Six routes around the Canadian province of British Columbia were used as case study drive cycles, including an extreme hill climb route. Results showed that omission of road grade under-estimates CO2 emissions by as much as 24% for both CNG and diesel drivetrains. Simulations indicated that CNG trucks emit 13–15% less CO2 than comparable diesel trucks, depending on weight class and drive cycle. Sensitivity analyses highlighted the importance of aerodynamic drag, rolling friction, and engine efficiency for all cycles. An assessment of advanced vehicle technology options for CNG trucks showed achievable CO2 reductions of 28–35% in the near-term and 41–51% over the longer term, compared to current diesel technology. The same advanced technology options would reduce diesel drivetrain CO2 emissions by 17–23% and 31–42% over the near and long-term respectively. It is worthwhile to emphasize that with commensurate technology developments, CNG drivetrains offer the same 13–15% CO2 reductions compared to diesels over the near and long term. The results demonstrate that CO2 reductions in heavy-duty trucks depend primarily on drivetrain technology, while operational conditions play a less significant role. … (more)
- Is Part Of:
- Transportation research. Volume 62(2018)
- Journal:
- Transportation research
- Issue:
- Volume 62(2018)
- Issue Display:
- Volume 62, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 62
- Issue:
- 2018
- Issue Sort Value:
- 2018-0062-2018-0000
- Page Start:
- 186
- Page End:
- 211
- Publication Date:
- 2018-07
- Subjects:
- Heavy-duty truck -- CNG -- Diesel -- Road grade -- Emission model -- Drive cycle
Transportation -- Research -- Periodicals
Transportation -- Environmental aspects -- Periodicals
354.76 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13619209 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.trd.2018.02.011 ↗
- Languages:
- English
- ISSNs:
- 1361-9209
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274630
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