Quantitative of instantaneous BC emissions based on vehicle specific power from real-world driving diesel trucks in China

• DOI: 10.1016/j.scitotenv.2022.153230
• Publication Date: 2022-01-17T06:44:37Z
• Authors: Bobo Wu; Kaijie Xuan; Xin Zhang; Zichun Wu; Weijun Wang; Xianbao Shen; Xin Li; Hanyu Zhang; Xinyue Cao; Xuewei Hao; Qi Zhou; Zhiliang Yao
• Keywords: Air Pollutants; China; Motor Vehicles; Soot; 13. Climate action; 11. Sustainability; 01 natural sciences; 7. Clean energy; Gasoline; Environmental Monitoring; Vehicle Emissions; 0105 earth and related environmental sciences

In-depth exploration of the potential links between instantaneous black carbon (BC) emissions and driving parameters from real-world diesel trucks (DTs) is a key step toward development of a highly flexible vehicle emissions estimation system. In this study, we conducted real-world measurements on 22 DTs with mainstream types and emission standards, and obtained instantaneous data of BC emissions and vehicle driving. Since vehicle specific power (VSP) is an excellent surrogate for engine load, we characterize the instantaneous BC emissions and VSP distributions, and then establish links between VSP and fuel consumption, VSP and BC emission rates, VSP and BC emission factors (EFs), respectively. We find that BC emission rates of China V light-duty DTs installed with diesel particulate filter (DPF) are significantly lower (2 to 3 orders of magnitude) than those with China III and China IV. Frequent acceleration and deceleration of vehicles maybe the main reason leads to high BC emissions. The distribution of VSP is mainly concentrated in the ranges of -30 to 35 kW/t in the scope of this study. We find that VSP and BC EFs did not show a consistent pattern for all tested DTs, and BC EFs present obvious fluctuations with the VSP variation. The average fuel-based BC EFs vary by factors of 2.27-8.25 from the lowest to highest EFs. Through a fitting of the third-order polynomial function, we finally quantify and provide fitting formulas of BC EFs and VSP under more detailed categorization. Our results can provide important data support for accurate quantification of BC EFs, and even emission inventory calculations.