The population which could not access to electricity was around 1.2 billion in 2010 and is distributed in many low developing countries. With the increase in the population and the economic growth in those countries, ...The population which could not access to electricity was around 1.2 billion in 2010 and is distributed in many low developing countries. With the increase in the population and the economic growth in those countries, waste generation is growing rapid especially for the organic and the plastic, and the uncontrolled waste disposal is becoming more serious issues to manage it. The interest on waste to energy is growing by the above drivers. This research was carried out for aiming to the real world adaption at the minimum cost of the pyrolysis oil from waste biomass in a diesel engine, mainly for electricity generation. The proposal of the appropriate adaptable blend ratio was the major scope rather than the optimization of the engine parameters. For the sake of it, the pyrolysis oil of the waste biomass was produced from a gasification pilot plant in Japan and blended with biodiesel at minimum effort. A small single cylinder diesel engine （direct injection） was used for the experiment with regard to full load power-output, exhaust emissions and fuel consumption.展开更多
Research on dual-fuel(DF)engines has become increasingly important as engine manufacturers seek to reduce carbon dioxide emissions.There are significant advantages of using diesel pilot-ignited natural gas engines as ...Research on dual-fuel(DF)engines has become increasingly important as engine manufacturers seek to reduce carbon dioxide emissions.There are significant advantages of using diesel pilot-ignited natural gas engines as DF engines.However,different combustion modes exist due to variations in the formation of the mixture.This research used a simulation model and numerical simulations to explore the combustion characteristics of high-pressure direct injection(HPDI),partially premixed compression ignition(PPCI),and double pilot injection premixed compression ignition(DPPCI)combustion modes under a low-medium load.The results revealed that the DPPCI combustion mode provides higher gross indicated thermal efficiency and more acceptable total hydrocarbon(THC)emission levels than the other modes.Due to its relatively good performance,an experimental study was conducted on the DPPCI mode engine to evaluate the impact of the diesel dual-injection strategy on the combustion process.In the DPPCI mode,a delay in the second pilot ignition injection time increased THC emissions(a maximum value of 4.27g/(kW·h)),decreased the emission of nitrogen oxides(a maximum value of 7.64 g/(kW·h)),increased and then subsequently decreased the gross indicated thermal efficiency values,which reached 50.4%under low-medium loads.展开更多
As one of the most important actuators for gasoline direct injection technology,common rail systems provide the requested rail pressure for fuel injection.Special system characteristics,such as coupled discrete-contin...As one of the most important actuators for gasoline direct injection technology,common rail systems provide the requested rail pressure for fuel injection.Special system characteristics,such as coupled discrete-continuous dynamic in the common rail system,limited measurable states,and time-varying engine operating conditions,impel the combination of advanced methods to obtain the desired injection pressure.Therefore,reducing the pressure fluctuation and satisfying engineering implementation have become noteworthy issues for rail pressure control(RPC)systems.In this study,the benchmark problem and the design specification of RPC proposed by 2018 IFAC E-CoSM Committee are introduced.Moreover,a common rail system model is provided to the challengers,and a traditional PI control is applied to show the problem behaviors.Finally,intermediate results of the challengers are summarized briefly.展开更多
为预测高原环境下缸内直喷(Gasoline Direct Injection, GDI)汽油车CO和PN的瞬时排放量,开发并评估了一套基于深度学习的排放预测模型。利用便携式车载排放测试系统对一辆GDI汽油车进行实际道路排放测试;加入奇异谱分析对原始时间序列...为预测高原环境下缸内直喷(Gasoline Direct Injection, GDI)汽油车CO和PN的瞬时排放量,开发并评估了一套基于深度学习的排放预测模型。利用便携式车载排放测试系统对一辆GDI汽油车进行实际道路排放测试;加入奇异谱分析对原始时间序列进行处理,剔除时间序列中的异常值;利用XGBoost模型对GDI汽油车的CO和PN的瞬时排放进行初步预测,并利用SVR模型进行残差修正得到最终的预测结果。将预测结果与实际道路排放试验中使用PEMS设备测量的实际值进行比较,结果表明,XGBoost-SVR排放预测模型能较好地预测GDI汽油车瞬时CO和PN的排放,相比单一的XGBoost模型,RMSE分别提高了22.9%和39.7%,决定系数R2均大于0.9,支持预测结果的可靠性。该模型对监测高原环境下GDI汽油车实际道路排放具有一定的工程意义。展开更多
文摘The population which could not access to electricity was around 1.2 billion in 2010 and is distributed in many low developing countries. With the increase in the population and the economic growth in those countries, waste generation is growing rapid especially for the organic and the plastic, and the uncontrolled waste disposal is becoming more serious issues to manage it. The interest on waste to energy is growing by the above drivers. This research was carried out for aiming to the real world adaption at the minimum cost of the pyrolysis oil from waste biomass in a diesel engine, mainly for electricity generation. The proposal of the appropriate adaptable blend ratio was the major scope rather than the optimization of the engine parameters. For the sake of it, the pyrolysis oil of the waste biomass was produced from a gasification pilot plant in Japan and blended with biodiesel at minimum effort. A small single cylinder diesel engine （direct injection） was used for the experiment with regard to full load power-output, exhaust emissions and fuel consumption.
基金Project(2017YFE0102800)supported by the National Key R&D Program of ChinaProject(19JCYBJC21200)supported by the Tianjin Natural Science Foundation,China。
文摘Research on dual-fuel(DF)engines has become increasingly important as engine manufacturers seek to reduce carbon dioxide emissions.There are significant advantages of using diesel pilot-ignited natural gas engines as DF engines.However,different combustion modes exist due to variations in the formation of the mixture.This research used a simulation model and numerical simulations to explore the combustion characteristics of high-pressure direct injection(HPDI),partially premixed compression ignition(PPCI),and double pilot injection premixed compression ignition(DPPCI)combustion modes under a low-medium load.The results revealed that the DPPCI combustion mode provides higher gross indicated thermal efficiency and more acceptable total hydrocarbon(THC)emission levels than the other modes.Due to its relatively good performance,an experimental study was conducted on the DPPCI mode engine to evaluate the impact of the diesel dual-injection strategy on the combustion process.In the DPPCI mode,a delay in the second pilot ignition injection time increased THC emissions(a maximum value of 4.27g/(kW·h)),decreased the emission of nitrogen oxides(a maximum value of 7.64 g/(kW·h)),increased and then subsequently decreased the gross indicated thermal efficiency values,which reached 50.4%under low-medium loads.
基金the National Nature Science Foundation of China(Nos.61790564,61803173)the Program for Natural Science Foundation of Jilin Province(No.20190103047JH).
文摘As one of the most important actuators for gasoline direct injection technology,common rail systems provide the requested rail pressure for fuel injection.Special system characteristics,such as coupled discrete-continuous dynamic in the common rail system,limited measurable states,and time-varying engine operating conditions,impel the combination of advanced methods to obtain the desired injection pressure.Therefore,reducing the pressure fluctuation and satisfying engineering implementation have become noteworthy issues for rail pressure control(RPC)systems.In this study,the benchmark problem and the design specification of RPC proposed by 2018 IFAC E-CoSM Committee are introduced.Moreover,a common rail system model is provided to the challengers,and a traditional PI control is applied to show the problem behaviors.Finally,intermediate results of the challengers are summarized briefly.
文摘为预测高原环境下缸内直喷(Gasoline Direct Injection, GDI)汽油车CO和PN的瞬时排放量,开发并评估了一套基于深度学习的排放预测模型。利用便携式车载排放测试系统对一辆GDI汽油车进行实际道路排放测试;加入奇异谱分析对原始时间序列进行处理,剔除时间序列中的异常值;利用XGBoost模型对GDI汽油车的CO和PN的瞬时排放进行初步预测,并利用SVR模型进行残差修正得到最终的预测结果。将预测结果与实际道路排放试验中使用PEMS设备测量的实际值进行比较,结果表明,XGBoost-SVR排放预测模型能较好地预测GDI汽油车瞬时CO和PN的排放,相比单一的XGBoost模型,RMSE分别提高了22.9%和39.7%,决定系数R2均大于0.9,支持预测结果的可靠性。该模型对监测高原环境下GDI汽油车实际道路排放具有一定的工程意义。
