Detailed Inventory of the Evaporative Emissions from Parked Gasoline Vehicles and an Evaluation of Their Atmospheric Impact in Japan

2020 ◽  
Vol 54 (10) ◽  
pp. 5947-5953
Author(s):  
Hiroo Hata ◽  
Kazuya Inoue ◽  
Kazuo Kokuryo ◽  
Kenichi Tonokura
Keyword(s):  
Evaporative Emissions ◽  
Gasoline Vehicles

Estimation model for evaporative emissions from gasoline vehicles based on thermodynamics

2018 ◽  
Vol 618 ◽  
pp. 1685-1691 ◽  
Author(s):  
Hiroo Hata ◽  
Hiroyuki Yamada ◽  
Kazuo Kokuryo ◽  
Megumi Okada ◽  
Chikage Funakubo ◽  
...  
Keyword(s):  
Estimation Model ◽  
Evaporative Emissions ◽  
Gasoline Vehicles

Experimental analysis of evaporative emissions of ethanol-blended gasoline in automotive tanks at different temperature conditions

Fuel ◽  
2021 ◽  
Vol 304 ◽  
pp. 121427
Author(s):  
Luca Romagnuolo ◽  
Emma Frosina ◽  
Assunta Andreozzi ◽  
Adolfo Senatore ◽  
Francesco Fortunato
Keyword(s):  
Experimental Analysis ◽  
Evaporative Emissions ◽  
Temperature Conditions

Air pollution in an urban street canyon: Novel insights from highly resolved traffic information and meteorology

2021 ◽  
Author(s):  
Laura Ehrnsperger ◽  
Otto Klemm
Keyword(s):  
Air Pollution ◽  
Temporal Dynamics ◽  
Road Traffic ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Traffic Information ◽  
Pollutant Emission ◽  
Urban Site ◽  
Gasoline Vehicles ◽  
Agricultural Areas

<p>Ambient air pollution caused by fine particulate matter (PM) and trace gases is a pressing topic as it affects the vast majority of the world's population, especially in densely populated urban environments. The main sources of ambient air pollution in cities are road traffic, industries and domestic heating. Alongside nitrogen oxides (NO<sub>x</sub>) and PM, ammonia (NH<sub>3</sub>) is also a relevant air pollutant due to its role as a precursor of particulate ammonium (NH<sub>4</sub><sup>+</sup>). To examine the temporal patterns and sources of air pollutants, this study used fast-response air quality measurements in combination with highly resolved traffic information in Münster, NW Germany. The temporal dynamics of NO<sub>x</sub> and the particle number concentration (PN<sub>10</sub>) were similar to the diurnal and weekly courses of the traffic density. On very short timescales, the real-world peak ratios of NO<sub>x</sub> and PM ≤ 10 µm diameter (PM<sub>10</sub>) exceeded the predicted pollutant emission ratios of the Handbook for Emission Factors for Road Transport (HBEFA) by a factor of 6.4 and 2.0, respectively. A relative importance model revealed that light-duty vehicles (LDVs) are the major relative contributor to PN<sub>10</sub> (38 %) despite their low abundance (4 %) in the local vehicle fleet.  Diesel and gasoline vehicles contributed similarly to the concentrations of PM<sub>10</sub> and PN<sub>10</sub>, while the impact of gasoline vehicles on the PM<sub>1</sub> concentration was greater than that of diesel vehicles by a factor of 4.4. The most recent emission class Euro 6 had the highest influence on PM<sub>10</sub>. Meteorological parameters explained a large portion of the variations in PM<sub>10</sub> and PM<sub>1</sub>, while meteorology had only a minor influence on PN<sub>10</sub>. We also studied the short-term temporal dynamics of urban NH<sub>3 </sub>concentrations, the role of road traffic and agriculture as NH<sub>3</sub> sources and the importance of ammonia for secondary particle formation (SPF). The NH<sub>3</sub> mixing ratio was rather high (mean: 17 ppb) compared to other urban areas and showed distinct diurnal maxima around 10 a.m. and 9 p.m. The main source for ammonia in Münster was agriculture, but road traffic also contributed through local emissions from vehicle catalysts. NH<sub>3</sub> from surrounding agricultural areas accumulated in the nocturnal boundary layer and contributed to SPF in the city center. The size-resolved chemical composition of inorganic ions in PM<sub>10</sub> was dominated by NH<sub>4</sub><sup>+</sup> (8.7 µg m<sup>-3</sup>), followed by NO<sub>3</sub><sup>-</sup> (3.9 µg m<sup>-3</sup>), SO<sub>4</sub><sup>2-</sup> (1.6 µg m<sup>-3</sup>) and Cl<sup>-</sup> (1.3 µg m<sup>-3</sup>). Particles in the accumulation range (diameter: 0.1 – 1 µm) showed the highest inorganic ion concentrations. The ammonium neutralization index J (111 %) indicated an excess of NH<sub>4</sub><sup>+</sup> leading to mostly alkaline PM. High ammonia emissions from surrounding agricultural areas combined with large amounts of NO<sub>x</sub> from road traffic play a crucial role for SPF in Münster. Our results further indicate that replacing fossil-fuelled LDVs with electrical vehicles would greatly reduce the PN<sub>10</sub> concentrations at this urban site.</p>

A Comparative Study of Hydrogen Storage and Hydrocarbon Fuel Processing for Automotive Fuel Cells

2015 ◽  
Author(s):  
Saeed Kazemiabnavi ◽  
Aneet Soundararaj ◽  
Haniyeh Zamani ◽  
Bjoern Scharf ◽  
Priya Thyagarajan ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Hydrogen Storage ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Hydrogen Fuel ◽  
Fuel Cost ◽  
Gas Emission ◽  
Fuel Processing ◽  
Gasoline Vehicles

In recent years, there has been increased interest in fuel cells as a promising energy storage technology. The environmental impacts due to the extensive fossil fuel consumption is becoming increasingly important as greenhouse gas (GHG) levels in the atmosphere continue to rise rapidly. Furthermore, fuel cell efficiencies are not limited by the Carnot limit, a major thermodynamic limit for power plants and internal combustion engines. Therefore, hydrogen fuel cells could provide a long-term solution to the automotive industry, in its search for alternate propulsion systems. Two most important methods for hydrogen delivery to fuel cells used for vehicle propulsion were evaluated in this study, which are fuel processing and hydrogen storage. Moreover, the average fuel cost and the greenhouse gas emission for hydrogen fuel cell (H2 FCV) and gasoline fuel cell (GFCV) vehicles are compared to that of a regular gasoline vehicle based on the Argonne National Lab’s GREET model. The results show that the average fuel cost per 100 miles for a H2 FCV can be up to 57% lower than that of regular gasoline vehicles. Moreover, the obtained results confirm that the well to wheel greenhouse gas emission of both H2 FCV and GFCV is significantly less than that of regular gasoline vehicles. Furthermore, the investment return period for hydrogen storage techniques are compared to fuel processing methods. A qualitative safety and infrastructure dependency comparison of hydrogen storage and fuel processing methods is also presented.

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