Parametric optimization of organic Rankine cycle for vehicle diesel engine based on particle swarm optimization - 文章详情页

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EI PKU CSCD

摘要：

To　efficiently　recover　the　waste　heat　from　the　diesel　engine　exhaust,　an　organic　Rankine　cycle　(ORC)　system　was　employed.　The　variation　tendency　of　the　diesel　engine　exhaust　energy　under　various　operating　conditions　was　analyzed　through　experiments.　Based　on　the　particle　swarm　optimization,　the　operating　parameters　including　evaporation　pressure,　superheat　degree,　and　expansion　ratio　of　ORC　systems　were　optimized　with　net　power　output　and　exergy　efficiency　selected　as　objective　functions.　The　optimization　results　show　that,　for　a　certain　operating　condition　of　the　diesel　engine,　the　optimal　values　for　evaporating　pressure,　superheat　degree,　and　expansion　ratio　can　be　determined.　According　to　the　optimization,　the　ORC　system　and　vehicle　diesel　engine-ORC　combined　system　are　studied.　The　results　show　that,　at　the　diesel　engine　speed　of　2200　rmin-1　and　engine　torque　of　1215　Nm,　the　net　power　output　of　the　ORC　system　is　30.61　kW　and　the　power　output　increasing　rate　of　the　combined　system　is　9.86%.　At　the　diesel　engine　speed　of　1200　rmin-1　and　engine　torque　of　1131　Nm,　the　brake　specific　fuel　consumption　of　combined　system　is　175.0　g(kWh)-1.　©　All　Right　Reserved.

关键词：

Diesel engines Exhaust systems (engine) Expansion Heat transfer Optimization Particle swarm optimization (PSO) Rankine cycle Solid wastes Speed Thermoelectric power Vehicles Waste heat Waste heat utilization

作者机构：

[ 1 ] [Zhang, Hongguang]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Zhang, Hongguang]Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing; 100124, China
[ 3 ] [Wang, Hongjin]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Wang, Hongjin]Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing; 100124, China
[ 5 ] [Yang, Kai]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
[ 6 ] [Yang, Kai]Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing; 100124, China
[ 7 ] [Yang, Fubin]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
[ 8 ] [Yang, Fubin]Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing; 100124, China
[ 9 ] [Song, Songsong]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
[ 10 ] [Song, Songsong]Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing; 100124, China
[ 11 ] [Chang, Ying]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
[ 12 ] [Chang, Ying]Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing; 100124, China
[ 13 ] [Bei, Chen]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
[ 14 ] [Bei, Chen]Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing; 100124, China
[ 15 ] [Meng, Fanxiao]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
[ 16 ] [Meng, Fanxiao]Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing; 100124, China

通讯作者信息：

张红光
[zhang, hongguang]college of environmental and energy engineering, beijing university of technology, beijing; 100124, china;;[zhang, hongguang]collaborative innovation center of electric vehicles in beijing, beijing; 100124, china

电子邮件地址：

zhanghongguang@bjut.edu.cn

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