scholarly journals Thermoelectric Energy Recovery in a Light-Duty Diesel Vehicle under Real-World Driving Conditions at Different Altitudes with Diesel, Biodiesel and GTL Fuels

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1105 ◽  
Author(s):  
Reyes García-Contreras ◽  
Andrés Agudelo ◽  
Arántzazu Gómez ◽  
Pablo Fernández-Yáñez ◽  
Octavio Armas ◽  
...  

This work focuses on the potential for waste energy recovery from exhaust gases in a diesel light-duty vehicle tested under real driving conditions, fueled with animal fat biodiesel, Gas To Liquid (GTL) and diesel fuels. The vehicle was tested following random velocity profiles under urban driving conditions, while under extra-urban conditions, the vehicle followed previously defined velocity profiles. Tests were carried out at three different locations with different altitudes. The ambient temperature (20 ± 2 °C) and relative humidity (50 ± 2%) conditions were similar for all locations. Exergy analysis was included to determine the potential of exhaust gases to produce useful work in the exhaust system at the outlet of the Diesel Particle Filter. Results include gas temperature registered at each altitude with each fuel, as well as the exergy to energy ratio (percentage of energy that could be transformed into useful work with a recovery device), which was in the range of 20–35%, reaching its maximum value under extra-urban driving conditions at the highest altitude. To take a further step, the effects of fuels and altitude on energy recovery with a prototype of a thermoelectric generator (TEG) were evaluated.

2019 ◽  
Vol 24 (6) ◽  
pp. 263-267
Author(s):  
Maciej Siedlecki ◽  
Paweł Fuć ◽  
Barbara Sokolnicka ◽  
Natlia Szymlet

The article discusses the effect of exhaust aftertreatment systems configuration on the resulting exhaust gas temperature at selected points of the exhaust system. Catalytic reactors and particle filters must reach a specific temperature in order to effectively perform their functions. The temperature they obtain decreases with the increasing distance from the exhaust manifold, as the gases cool along the way. The performed research consisted of measuring the exhaust gas temperature in various places of the exhaust system in simulated driving conditions mapped on the dynamic engine brake station in the aspect of using a particulate filter and its resulting operating efficiency due to the temperature. Measuring the temperature using thermo-couples allowed to assess the probability of achieving full operation of the filters during urban and extra-urban exploitation in a simulation of real driving conditions.


Transport ◽  
2020 ◽  
Vol 35 (4) ◽  
pp. 379-388
Author(s):  
Dong Guo ◽  
Jinbao Zhao ◽  
Yi Xu ◽  
Feng Sun ◽  
Kai Li ◽  
...  

To accurately estimate the effect of driving conditions on vehicle emissions, an on-road light-duty vehicle emission platform was established based on OEM-2100TM, and each second data of mass emission rate corresponding to the driving conditions were obtained through an on-road test. The mass emission rate was closely related to the velocity and acceleration in real-world driving. This study shows that a high velocity and acceleration led to high real-world emissions. The vehicle emissions were the minimum when the velocity ranged from 30 to 50 km/h and the acceleration was less than 0.5 m/s2. Microscopic emission models were established based the on-road test, and single regression models were constructed based on velocity and acceleration separately. Binary regression and neural network models were established based on the joint distribution of velocity and acceleration. Comparative analysis of the accuracy of prediction and evaluation under different emission models, total error, second-based error, related coefficient, and sum of squared error were considered as evaluation indexes to validate different models. The results show that the three established emission models can be used to make relatively accurate prediction of vehicle emission on actual roads. The velocity regression model can be easily combined with traffic simulation models because of its simple parameters. However, the application of neural network model is limited by a complex coefficient matrix.


2020 ◽  
pp. 146808742098058
Author(s):  
Peter Andruskiewicz ◽  
Russell Durrett ◽  
Venkatesh Gopalakrishnan ◽  
Kushal Narayanaswamy ◽  
Paul Najt

A set of two-cylinder engine concepts utilizing a supercharger and piston- or turbine-compounding were compared to a turbocharged engine modeled with a consistent methodology developed in previous works. In-cylinder insulation was added to each of the engines to evaluate the effects on performance. The goals of this simulation were to utilize energy that otherwise would be bypassed around the turbine side of a turbocharger and redirect it to the crankshaft, as well as to redirect energy that would previously have entered the coolant into the exhaust gases where it could be reclaimed by a second expansion process. Gains in performance and efficiency were thoroughly analyzed to provide insight into the magnitudes and mechanisms responsible. It was found that the second expansion process from exhaust-compounding was able to significantly improve engine performance at moderate to high loads, as well as compensate for the loss in volumetric efficiency that accompanies in-cylinder insulation. The piston-compounded single-shaft DCDE was able to outperform the turbocharged multi-shaft DCDE at mid to high loads, and in maximum brake power due to the low losses in the coupled nature of the second expansion, while the turbine-compounded engine suffers higher losses due to the turbomachinery mismatch with the positive displacement power cylinders.


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