This paper presents the experimental results of composition changes of heavy fuel oil by stmulating weathering in static seawater under natural environmental conditions. The results indicate： n-C10 to n-C15 were lost...This paper presents the experimental results of composition changes of heavy fuel oil by stmulating weathering in static seawater under natural environmental conditions. The results indicate： n-C10 to n-C15 were lost gradually in 24 weeks and the relative abundance of alkanes with long chains （〉n-C19） increased markedly. The aromatic compounds with less than two tings （except C4N） were completely lost in 24 weeks and CnP and CnD became the main aromatics in the heavy fuel oil after 24 weeks. The ratios of n- C1/Pristane （Pr） and n-C18 Phytane （Ph） were suitable for identifying lightly weathered （3 weeks） heavy fuel oil. The ratios of n-ClT/n-C18 and Pr/Ph were suitable for identifying moderately weathered heavy fuel oil （12 weeks）; the ratios of C2D/C2P and C3D/C3P did not change significantly in 24 weeks and were more suitable for identifying moderately weathered heavy fuel oil （24 weeks）.展开更多
In order to predict and improve the performance of natural gas/diesel dual fuel engine (DFE), a combustion rate model based on forward neural network was built to study the combustion process of the DFE. The effect ...In order to predict and improve the performance of natural gas/diesel dual fuel engine (DFE), a combustion rate model based on forward neural network was built to study the combustion process of the DFE. The effect of the operatin g parameters on combustion rate was also studied by means of this model. The stu dy showed that the predicted results were good agreement with the experimental d a ta. It was proved that the developed combustion rate model could be used to succ essfully predict and optimize the combustion process of dual fuel engine.展开更多
文摘This paper presents the experimental results of composition changes of heavy fuel oil by stmulating weathering in static seawater under natural environmental conditions. The results indicate： n-C10 to n-C15 were lost gradually in 24 weeks and the relative abundance of alkanes with long chains （〉n-C19） increased markedly. The aromatic compounds with less than two tings （except C4N） were completely lost in 24 weeks and CnP and CnD became the main aromatics in the heavy fuel oil after 24 weeks. The ratios of n- C1/Pristane （Pr） and n-C18 Phytane （Ph） were suitable for identifying lightly weathered （3 weeks） heavy fuel oil. The ratios of n-ClT/n-C18 and Pr/Ph were suitable for identifying moderately weathered heavy fuel oil （12 weeks）; the ratios of C2D/C2P and C3D/C3P did not change significantly in 24 weeks and were more suitable for identifying moderately weathered heavy fuel oil （24 weeks）.
文摘In order to predict and improve the performance of natural gas/diesel dual fuel engine (DFE), a combustion rate model based on forward neural network was built to study the combustion process of the DFE. The effect of the operatin g parameters on combustion rate was also studied by means of this model. The stu dy showed that the predicted results were good agreement with the experimental d a ta. It was proved that the developed combustion rate model could be used to succ essfully predict and optimize the combustion process of dual fuel engine.
