Measurement of Brake-specific NOX Emissions using Zirconia Sensors for In-use, On-board Heavy-duty Vehicle Applications

Author(s):  
Mridul Gautam ◽  
Wesley C. Riddle ◽  
Gregory J. Thompson ◽  
Daniel K. Carder ◽  
Nigel Clark ◽  
...  
Author(s):  
Oscar F. Delgado ◽  
Nigel N. Clark ◽  
Gregory J. Thompson

Portable emissions measurement systems (PEMS) are used to perform in-use measurements for emissions inventory and regulatory applications. PEMS data represent real world conditions more accurately than chassis dynamometer or engine dynamometer testing, arguably being the most realistic method of determining exhaust emissions over a certain driving route. However, measured emissions and fuel consumption depend strongly on both the route followed and the traffic situation that the vehicle encounters. A tool for translation of emissions and fuel consumption between diverse types of vehicle activity is required. The purpose of this paper is to assess the possibility of using route-averaged properties (kinematic parameters) for translation of fuel consumption and NOx emissions for a set of eighteen heavy-duty vehicles operating over up to eight different driving routes. A linear model developed for heavy-duty vehicle chassis dynamometer data modeling has been extended to in-use heavy-duty vehicle data. Two approaches were implemented; the first approach mimicked the prior chassis dynamometer work by incorporating average vehicle speed and average positive acceleration and the second approach incorporated road grade in a characteristic power parameter. The end result is a simple method which was shown to be accurate for estimation of fuel consumption (within 5% relative error) and NOx emissions (within 12% relative error) for over-the-road vehicles over “unseen” roads or traffic situations, without the need to perform additional over-the-road tests.


2021 ◽  
Vol 19 ◽  
pp. 407-412
Author(s):  
A. Massaguer ◽  
◽  
E. Massaguer ◽  
J. Ximinis ◽  
T. Pujol ◽  
...  

This study presents a new approach to minimize the amount of NOx emitted by diesel engines of Heavy-Duty Vehicles during low engine regimes and low gases temperature conditions. We propose the addition of an electric Exhaust Gas Heater (EGH) to make the SCR system inject the urea solution at low engine regimes. The second part of this study focuses on the viability to use an Automotive Thermoelectric Generator (ATEG) to generate the energy required by the EGH and thus avoiding the need to consume electrical energy from the vehicle’s system. This EGHATEG system is designed to be energetically closed, so there is no extra consumption of fuel. Experimental results show that NOx emissions reduce up to 80% when an EGH is added to a standard diesel-powered Euro VI Heavy Duty truck configuration. Simulations show that an ATEG installed downstream of the aftertreatment system can produce the energy required by the EGH. This system can improve SCR efficiency up to 55% during low engine regimes.


2021 ◽  
Vol 268 ◽  
pp. 01041
Author(s):  
Yantao Dou ◽  
Yong Li ◽  
Jian Ling

The actual road diesel emissions of heavy-duty vehicle is very high, which has been a concern around the world. In 2018, Chinese government promulgated the "China VI" regulations containing real-driving emission test requirements and limits, requiring vehicle manufacturers to effectively control vehicle emissions to meet the requirements of China VI. This article takes a heavy-duty tractor equipped with a "China VI" engine as the research object, and performs actual road emission tests after loading 10%, 25%, 50%, 75%, and 100% respectively. The results show that NOx emissions are higher at low loads and PN emissions are higher at high loads, and CO emissions are not sensitive to load changes.


Empirica ◽  
2012 ◽  
Vol 39 (2) ◽  
pp. 261-278 ◽  
Author(s):  
Karl W. Steininger ◽  
Christoph Schmid ◽  
Alexandra Tobin

2021 ◽  
Vol 94 ◽  
pp. 102784
Author(s):  
Nikiforos Zacharof ◽  
Georgios Fontaras ◽  
Biagio Ciuffo ◽  
Alessandro Tansini ◽  
Iker Prado-Rujas

2016 ◽  
Vol 17 (4) ◽  
pp. 1051-1061 ◽  
Author(s):  
Kuo-Yun Liang ◽  
Jonas Martensson ◽  
Karl H. Johansson

Fuel ◽  
2022 ◽  
Vol 307 ◽  
pp. 121771
Author(s):  
Yu Jiang ◽  
Yi Tan ◽  
Jiacheng Yang ◽  
Georgios Karavalakis ◽  
Kent C. Johnson ◽  
...  

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