People | Locations | Statistics |
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Ziakopoulos, Apostolos | Athens |
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Vigliani, Alessandro | Turin |
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Catani, Jacopo | Rome |
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Statheros, Thomas | Stevenage |
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Utriainen, Roni | Tampere |
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Guglieri, Giorgio | Turin |
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Martínez Sánchez, Joaquín |
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Tobolar, Jakub |
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Volodarets, M. |
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Piwowar, Piotr |
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Tennoy, Aud | Oslo |
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Matos, Ana Rita |
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Cicevic, Svetlana |
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Sommer, Carsten | Kassel |
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Liu, Meiqi |
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Pirdavani, Ali | Hasselt |
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Niklaß, Malte |
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Lima, Pedro | Braga |
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Turunen, Anu W. |
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Antunes, Carlos Henggeler |
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Krasnov, Oleg A. |
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Lopes, Joao P. |
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Turan, Osman |
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Lučanin, Vojkan | Belgrade |
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Tanaskovic, Jovan |
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Plogmann, Justin
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Remote Sensing Measurements and Simulations for Real Driving Emission Characterization of Vehicles
Abstract
The present work aims in analyzing the dispersion of pollutants in the vehicle wake in order to assess general capabilities of Remote Emission Sensing (RES) systems. Therefore, the Reynolds-Averaged Navier-Stokes Equations (RANS) are used in order to represent the instationary, turbulent flow of a multicomponent mixture. The most crucial volume that RES has to capture is the core exhaust plume, which lays within the first 1.5 m behind the vehicle. The location of the pollutant concentration peak as well as the core exhaust plume shape are mainly influenced by the pipe position. The vehicle acceleration acts as an additional momentum on the flow, causing the pollutant concentration peak (PCP) to shift towards the vehicle. Additionally, the simulations show that wind has no significant influence on the core exhaust plume. With regard to RES, an independence of the width of the street is found.
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