详情

当前位置：首页> 国外交通科技报告数据库 >详情

原文传递 Fall 2016 On-road Emission Measurements in the Chicago Area: Comparison of Two University of Denver Remote Sensing Datasets.

题名：	Fall 2016 On-road Emission Measurements in the Chicago Area: Comparison of Two University of Denver Remote Sensing Datasets.
作者：	Haugen, M. J.; Bishop, G. A.
关键词：	Remote sensing devices (RSD), Vehicle emissions trends, On-road measurement, Acceleration dropping, Uncertainties, Comparison, Emissions analyses
摘要：	The University of Denver has completed the ninth year of a multi-year remote sensing study in the Chicago area, with measurements made in Septembers of 997 through 2000, 2002, 2004, 2005, 2014, and 2016. As part of this campaign, the University collected the typical five days of measurements (E-106, September 12 - 16, 2016) at the on-ramp from Algonquin Rd. to eastbound I-290 in northwest Chicago then stayed for an additional three days of data collection (September 19 – 21, 2016) as part of a Coordinating Research Council initiated intercomparison with HEAT’s EDAR remote exhaust sensor (CRC project number E-119a). The EDAR measurement results have never been made available for analysis by the University of Denver and therefore this report only compares the two data sets collected by the University of Denver for their representatives. For the 2016 measurements, two databases were compiled for the E-106 campaign containing 20,431 records and the E-119a data set containing, 9,948 records for which the State of Illinois provided make and model year information. All of the records in both data sets contain valid measurements for at least CO and CO2, and the vast majority of records also contain valid measurements for the other species. The database, as well as others compiled by the University of Denver, can be found at www.feat.biochem.du.edu. For the purpose of this report we compared the two separate data sets to one another. The CO, HC, NO, NH3 and NO2 mean and standard errors of the mean emissions for the fleet measured in this study are listed with the E-106 data first and the E-119a data set in parenthesis. The results were 11.0 ± 0.4 gCO/kg (10.4 ± 0.7), 1.9 ± 0.1 gHC/kg (1.6 ± 0.1), 1.2 ± 0.05 gNO/kg (1.2 ± 0.2), 0.63 ± 0.01 gNH3/kg (0.64 ± 0.06) and 0.1 ± 0.02 gNO2/kg (0.11 ± 0.02 ppm) respectively. The uncertainties are all larger for the E-119a data set due to the fewer days of measurements. The mean model year of 2009.6 and a fleet age of 7.5 years old was observed for both data sets. Overall there are few statistical differences between the two data sets. The most significant difference was a slight change in driving mode between the two weeks. The mean speed, acceleration and vehicle specific power for the first week of measurements was 24.2 mph, 0.7 mph/sec and 7.9 kw/tonne respectively. During the following week all three values decreased with speed decreasing to 23.8 mph, acceleration dropping to 0.07 mph/sec and vehicle specific power decreasing to 6.7 kw/tonne. These small changes in driving mode are reflected in the emissions versus vehicle specific power analysis where the E-119a data set includes more measurements in the lower power bins when compared to the E-106 data set. It tends to reason that the presence of the EDAR system downstream from our setup are behind the changes but that cannot be established with any certainty. The comparison of the three day E-119a data set with the 5 day E-106 data set collected in Chicago during the fall of 2016 has resulted in the finding that the smaller data set is very representative of the larger data set. The fewer number of days contained in the E-119a data set does result in slightly larger uncertainties but that should be expected. What we can conclude is that fewer days of measurements at this location does not substantially change the results.
报告类型：	科技报告