Simulation of soot filtration and oxidation characteristics in the porous wall of a wall-flow CDPF

Chemical Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 121523 - 121523

Published: March 1, 2025

Language: Английский

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Recent Advances in SCR Systems of Heavy-Duty Diesel Vehicles—Low-Temperature NOx Reduction Technology and Combination of SCR with Remote OBD

Atmosphere, Journal Year: 2024, Volume and Issue: 15(8), P. 997 - 997

Published: Aug. 20, 2024

Heavy-duty diesel vehicles are a significant source of nitrogen oxides (NOx) in the atmosphere. The Selective Catalytic Reduction (SCR) system is primary aftertreatment device for reducing NOx emissions from heavy-duty vehicles. With increasingly stringent emission regulations major countries, there growing focus on under low exhaust temperature conditions, as well monitoring conversion efficiency SCR over its entire lifecycle. By reviewing relevant literature mainly past five years, this paper reviews development trends and related research results technology, focusing two main aspects: low-temperature reduction technology combination systems with remote On-Board Diagnostics (OBD). Regarding review indicate that multiple catalytic shows potential achieving high across wide range; advanced arrangement can accelerate increase within system; solid ammonium gaseous reductants effectively address issue urea not being able to be injected conditions. As OBD, OBD accurately assess vehicles, but it needs algorithms correct data match testing process required by regulations. Remote crucial detecting tampering, must developed balance accuracy computational efficiency. This provides updated information current status directions technologies, offering valuable insights future into systems.

Language: Английский

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Condensable and filterable particulate matter emitted from typical diesel vehicles in steady and transient driving conditions

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 479, P. 135716 - 135716

Published: Sept. 3, 2024

Language: Английский

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Revealing the built environment impacts on truck emissions using interpretable machine learning

Transportation Research Part D Transport and Environment, Journal Year: 2025, Volume and Issue: 141, P. 104662 - 104662

Published: Feb. 19, 2025

Language: Английский

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Vehicle-specific power-based emission modelling using unsupervised machine learning techniques

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Precise evaluation of vehicular emissions in real-world conditions is essential for assessing air quality and determining the efficacy emission control policies. A critical research gap exists regarding comparative study between Bharat Stage VI (BS-VI) BS-VI compliant vehicles various diverse Indian driving conditions. Laboratory based measurement often fail to captures detailed profiles complex traffic This addresses this by analyzing from BS-IV petrol, diesel, petrol using a portable system (PEMS). We developed novel framework that integrates vehicle specific power (VSP) with unsupervised techniques identify analyze distinct over The best clustering algorithm's results (k-means) were used compare assess characteristics under Result showed CO₂ NO_x highest all three types during transitions idle minor acceleration lowest idling/creeping. demonstrated substantial decrease (25–90%) compared across different However, difference was minimal (5%). models can be decision-support tool policymakers encourage responsible behaviour reduce emissions. notable its accurate, data-driven representation It offers crucial regulations patterns, encouraging eco-friendly practices.

Language: Английский

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Experimental Study on the Effect of Environmental Factors on the Real Driving Emission (RDE) Test

Energies, Journal Year: 2025, Volume and Issue: 18(9), P. 2253 - 2253

Published: April 28, 2025

The real driving emissions of gasoline and diesel vehicles are significantly influenced by altitude, temperature, starting conditions. In this study, the (RDEs) compliant with China V standards were investigated under various adaptability RDE testing in was evaluated analyzing vehicle at different altitudes, ambient temperatures, results show that, increasing CO, NOx, PN generally exhibit a downward trend, particularly for vehicles, whose conformity factors remain well below VI limit. However, relying solely on EGR technology, NOx exceed standards, indicating that alone is insufficient to meet regulatory requirements. Temperature variations have little effect PFI while continue excessive varying temperatures. Although cold-start phase generates substantial pollutant emissions, EMROAD evaluation method excludes phase, resulting limited differences between cold- hot-start emission results. Nevertheless, inclusion should be considered future assessments.

Language: Английский

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Impact of Shortening Real Driving Emission (RDE) Test Trips on CO, NOX, and PN10 Emissions from Different Vehicles

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9453 - 9453

Published: Oct. 30, 2024

The real driving emission (RDE) test is the for vehicle type approval in China VI standard and one of most important indicators assessing environmental performance vehicles. To investigate feasibility shortening RDE trip, we measured emissions CO, NOX, PN10 (i.e., number particles above 10 nm diameter) from gasoline, diesel, hybrid electric vehicles based on portable measurement systems (PEMSs) analyzed influence trips pollutant emissions. results indicated that CO factors gasoline increased by about two times during short compared with trips, while NOX factor changed insignificantly. diesel showed a two-fold increase remaining largely unchanged. doubled slightly trips. study can aid improving efficiency, reducing cost, controlling newly produced in-use vehicles, which crucial air pollution management sustainable development.

Language: Английский

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