考虑到德里现有轻型汽车车队中柴油驱动的乘用车数量众多,印度,对460辆此类汽车的烟雾排放测量进行了案例研究。从柴油车中收集了排烟数据,而车辆则在德里授权的排放测试中心定期更新受控污染(PUC)认证,印度。随着烟雾的排放,各种车辆和发动机相关方面,应该会影响排气管的烟雾排放,还记录了两个数据集的数据分析,即整体和前5名。测量了在自由加速试验模式中在空载条件下的烟密度。该研究报告了车辆参数之间的强相关性,比如年龄,里程,维修类别,排放标准,和发动机吸气;以及烟雾排放(车辆使用年限和里程的R2值与整个数据集的烟雾排放量分别=0.872和0.873)。前5名明智的相关性表现更好(年龄和里程的R2与发射范围分别为0.85-0.92和0.86-0.93)。Further,还为两个数据集开发了使用最佳拟合趋势线的预测发射方程。汽车制造商可以使用这样的方程来采用合适的策略来调整发动机或车辆。将他们的汽车保持在符合现有排放标准的更长时间的状态。Further,该研究建议将车辆行驶里程作为升级现有检查和维护计划的重要因素,特别是在发展中国家。
Keeping in view the significant number of diesel-driven passenger cars in the existing light motor vehicle fleet in Delhi, India, a case study on smoke emission measurement from 460 number of such cars was conducted. Smoke exhaust data was collected from the diesel cars while the vehicles presented themselves for periodic renewal of pollution under control (PUC) certification at authorized emission testing centers across Delhi, India. Along with the smoke emission, various vehicle- and engine-related aspects, supposed to affect tailpipe smoke emission, were also recorded aiming at data analysis for two datasets, namely whole and top 5 makes. The smoke density under no-loading condition in the free acceleration test mode was measured. The study reported a strong correlation between vehicle parameters, such as age, mileage, maintenance category, emission norm, and engine aspiration; and the smoke emission (R2 values for vehicle age and mileage vs. smoke emission for whole dataset = 0.872 and 0.873, respectively). Top 5 make-wise correlations fared even better (R2 for age and mileage vs. emission in the range of 0.85-0.92 and 0.86-0.93, respectively). Further, the predictive emission equations using best-fit trendlines were also developed for both datasets. Such equations may be used by the car manufacturers to adopt a suitable strategy for tuning of engine or vehicle as such, to retain their cars in the longer state of compliance to the extant emission norms. Further, the study recommends to include vehicle mileage as an important factor in upgrading the existing inspection and maintenance programs, especially in the developing countries.