Light-duty vehicle organic gas emissions from tailpipe and evaporation: A review of influencing factors

Zhang, Ying; Yang, Xinping; Wang, Yunjing; Yang, Zhengjun; Zhao, Haiguang; Ding, Yan

doi:10.1016/j.scitotenv.2024.174523

Science of The Total Environment

2024

DOI: 10.1016/j.scitotenv.2024.174523

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Light-duty vehicle organic gas emissions from tailpipe and evaporation: A review of influencing factors

Ying Zhang,

Xinping Yang,

Yunjing Wang

et al.

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2024

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Cited by 3 publications

References 139 publications

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Triboelectric Nanogenerator for Self‐Powered Gas Sensing

Zhang,

Zhou,

et al. 2024

Small

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With the continuous acceleration of industrialization, gas sensors are evolving to become portable, wearable and environmentally friendly. However, traditional gas sensors rely on external power supply, which severely limits their applications in various industries. As an innovative and environmentally adaptable power generation technology, triboelectric nanogenerators (TENGs) can be integrated with gas sensors to leverage the benefits of both technologies for efficient and environmentally friendly self‐powered gas sensing. This paper delves into the basic principles and current research frontiers of the TENG‐based self‐powered gas sensor, focusing particularly on innovative applications in environmental safety monitoring, healthcare, as well as emerging fields such as food safety assurance and smart agriculture. It emphasizes the significant advantages of TENG‐based self‐powered gas sensor systems in promoting environmental sustainability, achieving efficient sensing at room temperature, and driving technological innovations in wearable devices. It also objectively analyzes the technical challenges, including issues related to performance enhancement, theoretical refinement, and application expansion, and provides targeted strategies and future research directions aimed at paving the way for continuous progress and widespread applications in the field of self‐powered gas sensors.

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Triboelectric Nanogenerator for Self‐Powered Gas Sensing

Zhang,

Zhou,

et al. 2024

Small

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Assessing the Impact of Calendar Events upon Urban Vehicle Behaviour and Emissions Using Telematics Data

Xiang,

Ghaffarpasand,

Pope

2024

Smart Cities

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Employing vehicle telematics data, this study investigates the transport environment across urban and major road networks during a two-week period encompassing the Easter holidays, considered as a case study. The analysis spans four distinct years: 2016, 2018, 2021, and 2022. Geospatial and Temporal Mapping captured the dependencies of vehicle speed, acceleration, vehicle-specific power (VSP), and emission factors (EFs) for air pollutants (CO2 and NOx) on the studied calendar period. The results showed that during the Easter holiday, the median vehicle speeds exceeded annual averages by roughly 5%, indicating a clear deviation from regular traffic patterns. This deviation was particularly stark during the 2021 lockdown, with a significant drop in vehicle presence, leading to less congestion and thus higher speeds and vehicle acceleration. The emissions analyses revealed that individual cars emit higher levels of CO2 and NOx during Easter. Specifically, the median values of CO2 EF and NOx EF were 9% and 11% higher than the annual norm. When combined with road occupancy data, the results demonstrate that the Easter holidays in 2022 had a variable impact on NOx and CO2 emissions, with significant reductions on major roads during weekday rush hours (15–25%) but slight increases on urban roads during weekend periods.

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

Zhao,

Shi,

et al. 2024

Sustainability

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

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Light-duty vehicle organic gas emissions from tailpipe and evaporation: A review of influencing factors

Cited by 3 publications

References 139 publications

Triboelectric Nanogenerator for Self‐Powered Gas Sensing

Triboelectric Nanogenerator for Self‐Powered Gas Sensing

Assessing the Impact of Calendar Events upon Urban Vehicle Behaviour and Emissions Using Telematics Data

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

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