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基于遗传算法的汽油机朗肯循环余热回收系统的优化
【作者】
赵欣颖,高文志,卫利锋,张攀,魏招毅,张晋新
【摘要】
中文摘要: 为了更加高效利用汽油机排气余热,分析了某款汽油机排气余热回收潜力,建立了基于蒸发器和活塞式膨胀机的汽油机-朗肯循环联合余热回收系统模型。利用遗传算法,同时考虑膨胀机输出功、排气利用率、蒸发器效率和膨胀机绝热效率,以膨胀机输出功和系统总效率为优化目标,以蒸发压力和膨胀机转速为优化变量,对汽油机4个工况下朗肯循环系统的最佳运行参数进行了研究。结果表明,在整个发动机转速范围内,排气最大可利用效率均高于46%,转速越高则排气品质越高。在不同工况下存在最优的膨胀机转速和蒸发压力。经过优化,在选取的4个工况下,功率提高率均在6%以上,最高达到7.08%。 英文摘要: In order to utilize gasoline engine waste heat more efficiently, the waste heat recovery potential of a gasoline engine was studied. A model of gasoline engine-Rankine cycle waste heat recovery system based on evaporator and expander was established. By using the genetic algorithm and considering the output and adiabatic efficiency of the expander, the exhaust availability and evaporator efficiency, the optimum operating parameters of the system under four engine operating conditions were optimized with the output power of the expander and the total system efficiency as optimization objectives, the evaporation pressure and expander speed as optimization variables. The results show that the maximum exhaust utilization rate is higher than 46% in the whole engine speed range. The exhaust quality increases with the speed. Under different working conditions, there are the optimum expander speed and evaporation pressure. After optimization, the power under the four selected working conditions is increased by more than 6%, the highest up to 7.08%.
【论文集名称】
【会议名称】
《内燃机工程》
【下载次数】
1

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