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The wall Flow Diesel Particulate Filter (DPF) is one of the major technologies used to meet the current and future Particulate Matter (PM) emission regulations on heavy duty applications. This technology, however, adds significant engine backpressure. This has a negative impact on fuel consumption, and in turn, on CO2emissions. In order to better understand the DPF impact on engine backpressure, a large amount of DPF pressure drop models have been published, especially over the last ten years. Even though each published model has slight variations, they were all derived from Konstandopoulos approach of the problem [1]. However, in 1998, Opris developed a unique pressure drop model [2,4], that is radically different from Konstandopoulos’ method. In the Opris model, Navier-Stockes equations were analytically solved in the context of a DPF. Along with Darcy’s law, and the 2D flow-field solution, a fundamental expression of the DPF pressure drop was obtained.

This paper features an application study on the impact of different blend levels of commercially-supplied biodiesel on engine and aftertreatment systems' durability and reliability as well as the impact on owning and operating factors: service intervals and fuel economy. The study was conducted on a bus application with a 2007 on highway emissions equipped engine running biodiesel blends of B5, B20, and B99 for a total period approaching 4500 hours. Biodiesel of waste cooking grease feedstock was used for the majority of the testing, including B5 and B20 blends. Biodiesel of soybean feedstock was used for testing on B99 blend. No negative impacts on engine and aftertreatment performance and durability or indication of future potential issues were found when using B5 and B20. For B99 measurable impacts on engine and aftertreatment performance and owning and operating cost were observed.