Abstract

Past research has shown that Reactivity Controlled Compression Ignition (RCCI) and Gasoline Compression Ignition (GCI) combustion are promising approaches to improve efficiency and reduce pollutant emissions. However, the benefits have generally been confined to mid-load operating conditions. To enable practical application, these approaches must be able to operate over the entire engine map. A particularly challenging area is high load, low speed operation. Accordingly, the present work uses detailed CFD modeling and engine experiments to compare RCCI and GCI combustion strategies at a high load, low speed condition. Computational optimizations of RCCI and GCI combustion were performed at 20bar gross indicated mean effective pressure (IMEP) and 1300rev/min. The optimum points from the two combustion strategies were verified using engine experiments and were used to make the comparisons between RCCI and GCI combustion. The comparison showed that both the strategies had very similar combustion characteristics with a near top dead center injection initiating combustion. A parametric study was performed to identify the key input parameters that control combustion for the RCCI and GCI strategies. For both strategies, the combustion phasing could be controlled by the start of injection (SOI) timing of the near TDC injection. The short ignition delay of diesel fuel gave the RCCI strategy better control over combustion than the GCI strategy, but also had a simultaneous tradeoff with soot emissions. With the GCI strategy, the longer ignition delay of the gasoline fuel allowed for more air entrainment, causing lower soot emissions while giving reasonable control over combustion. Cyclic variability can be problematic at the load extremes; accordingly, the sensitivity to fluctuations in operating conditions was evaluated. Both strategies were found to be most sensitive to fluctuations in exhaust gas recirculation (EGR) rate. The GCI strategy was more sensitive to small changes in the charge conditions than the RCCI strategy, indicating that cyclic variability may be more problematic for GCI operation.

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