基于粒子群算法的车用柴油机有机朗肯循环系统运行参数优化

doi:10.11949/j.issn.0438-1157.20150734

化工学报 ›› 2015, Vol. 66 ›› Issue (12): 5031-5039.DOI: 10.11949/j.issn.0438-1157.20150734

基于粒子群算法的车用柴油机有机朗肯循环系统运行参数优化

张红光^1,2, 王宏进^1,2, 杨凯^1,2, 杨富斌^1,2, 宋松松^1,2, 常莹^1,2, 贝晨^1,2, 孟凡骁^1,2

1 北京工业大学环境与能源工程学院, 北京 100124;
2 北京电动车辆协同创新中心, 北京 100124

收稿日期:2015-05-27 修回日期:2015-09-05 出版日期:2015-12-05 发布日期:2015-12-05
通讯作者: 张红光
基金资助:
北京市自然科学基金项目(3152005);国家自然科学基金项目(51376011);北京市教育委员会科技计划重点项目(KZ201410005003)。

Parametric optimization of organic Rankine cycle for vehicle diesel enginebased on particle swarm optimization

ZHANG Hongguang^1,2, WANG Hongjin^1,2, YANG Kai^1,2, YANG Fubin^1,2, SONG Songsong^1,2, CHANG Ying^1,2, BEI Chen^1,2, MENG Fanxiao^1,2

1 College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China;
2 Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing 100124, China

Received:2015-05-27 Revised:2015-09-05 Online:2015-12-05 Published:2015-12-05
Supported by:
supported by the Natural Science Foundation of Beijing (3152005), the National Natural Science Foundation of China (51376011) and the Scientific Research Key Program of Beijing Municipal Commission of Education (KZ201410005003).

摘要/Abstract

摘要：

为了有效回收柴油机排气余热能,通过实验研究了一台车用柴油机排气能量变化规律,进而设计有机朗肯循环(ORC)系统回收该柴油机的排气余热能,并基于粒子群算法,以净输出功率和(火用)效率为目标函数,选取蒸发压力、过热度和膨胀机膨胀比为优化变量,对ORC系统的运行参数进行了优化研究。优化结果表明,在柴油机不同运行工况条件下,存在最佳的蒸发压力、过热度和膨胀机膨胀比,从而使ORC系统的净输出功率和(火用)效率最优。根据运行参数优化结果,分析了ORC系统和车用柴油机-ORC联合系统(联合系统)的性能。研究结果表明,当柴油机转速为2200 r·min^-1,转矩为1215 N·m时,ORC系统的净输出功率可达30.61 kW,联合系统的有效输出功提升率(POIR)可达9.86%;当柴油机转速为1200 r·min^-1,转矩为1131 N·m时,联合系统的有效燃油消耗率(BSFC)为175.0 g·(kW·h)^-1。

关键词: 车用柴油机, ORC, 余热回收, 热力学过程, 传热, 优化

Abstract:

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 r·min^-1 and engine torque of 1215 N·m, 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 r·min^-1 and engine torque of 1131 N·m, the brake specific fuel consumption of combined system is 175.0 g·(kW·h)^-1.

Key words: vehicle diesel engine, organic Rankine cycle, waste heat recovery, thermodynamic process, heat transfer, optimization

中图分类号:

TK406

张红光, 王宏进, 杨凯, 杨富斌, 宋松松, 常莹, 贝晨, 孟凡骁. 基于粒子群算法的车用柴油机有机朗肯循环系统运行参数优化[J]. 化工学报, 2015, 66(12): 5031-5039.

ZHANG Hongguang, WANG Hongjin, YANG Kai, YANG Fubin, SONG Songsong, CHANG Ying, BEI Chen, MENG Fanxiao. Parametric optimization of organic Rankine cycle for vehicle diesel enginebased on particle swarm optimization[J]. CIESC Journal, 2015, 66(12): 5031-5039.

参考文献 20

[1]	Wang Yunxin (汪耘欣), Jiao Jianling (焦建玲), Li Lanlan (李兰兰). Short-term combination forecast of China's civil car ownership [J]. Journal of Hefei University of Technology (合肥工业大学学报), 2014, 28 (5): 41-48.
[2]	Xu Yadan (徐亚丹), Qiu Yingjie (邱英杰), Shen Guoqing (沈国清). The study of factors on CO2 emissions from vehicles [J]. Agricultural Equipment & Vehicle Engineering (农业装备与车辆工程), 2014, 52 (8): 9-12.
[3]	Cho H, Min K. Measurement of liquid fuel film distribution on the cylinder liner of a spark ignition engine using the laser induced fluorescence technique [J]. Measurement Science and Technology, 2003, 14 (7): 975-982.
[4]	Wang Z Q, Zhou N J, Guo J, Wang X Y. Fluid selection and parametric optimization of organic Rankine cycle using low temperature waste heat [J]. Energy, 2012, 40 (1): 107-115.
[5]	Roy J P, Mishra M K, Misra A. Parametric optimization and performance analysis of a waste heat recovery system using organic Rankine cycle [J]. Energy, 2010, 35 (12): 5049-5062.
[6]	Wei D H, Lu X S, Lu Z, Lu Z, Gu J M. Performance analysis and optimization of organic Rankine cycle (ORC) for waste heat recovery [J]. Energy Conversion and Management, 2007, 48 (4): 1113-1119.
[7]	Liu B, Rivière P, Coquelet C, Gicquel R, David F. Investigation of a two stage Rankine cycle for electric power plants [J]. Applied Energy, 2012, 100: 285-294.
[8]	Liu Qiang (刘强), Shen Aijing (申爱景), Duan Yuanyuan (段远源). Quantitative analysis for thermal economy of regenerative extraction organic Rankine cycle [J]. CIESC Journal (化工学报), 2014, 65 (2): 437-444.
[9]	Wang J F, Yan Z Q, Wang M, Li, M Q, Dai Y P. Multi-objective optimization of an organic Rankine cycle (ORC) for low grade waste heat recovery using evolutionary algorithm [J]. Energy Conversion and Management, 2013, 71: 146-158.
[10]	Zhang Jie (张杰), Wang Tianyou (王天友), Zhang Yajun (张亚军), Wang Pengfei(王鹏飞), Peng Zhijun (彭志军), Shu Gequn (舒歌群). Performance of exhaust energy recovery system of a vehicle gasoline engine [J]. Transactions of CSICE (内燃机学报), 2013, 31 (2): 139-143.
[11]	Shu G Q, Liu L N, Tian H, Wei H Q, Yu G P. Parametric and working fluid analysis of a dual-loop organic Rankine (DORC) used in engine waste heat recovery [J]. Applied Energy, 2014, 113: 1188-1198.
[12]	Wang Juanli (王娟丽), He Yaling (何雅玲), Cheng Zedong (程泽东), Xi Huan (席奂). Performance optimization of organic Rankine cycle based on simulated annealing algorithm [J]. Journal of Engineering Thermophysics (工程热物理学报), 2013, 34 (9): 1606-1610.
[13]	Fang Jinli (方金莉), Wei Mingshan (魏名山), Wang Junrui (王君瑞), Ma Chaochen (马朝臣). Simulation of waste heat recovery from a heavy-duty diesel engine with a medium temperature ORC system [J]. Transactions of CSICE (内燃机学报), 2010, 28 (4): 362-367.
[14]	Joshua C, James T, McLeskey J. Multi-objective particle swarm optimization of binary geothermal power plants [J]. Applied Energy, 2015, 138: 302-314.
[15]	Xiao L, Wu S Y, Yi T T, Liu C, Li Y R. Multi-objective optimization of evaporation and condensation temperatures for subcritical organic Rankine cycle [J]. Energy, 2015, 83 (1): 723-733.
[16]	Yang K, Zhang H G, Song S S, Yang F B, Liu H, Zhao G Y, Zhang J, Yao B F. Effects of degree of superheat on the running performance of an organic Rankine cycle (ORC) waste heat recovery system for diesel engines under various operating conditions [J]. Energies, 2014, 7: 2123-2145.
[17]	Heberle F, Preiringer M, Bruggemann D. Zeotropic mixtures as working fluids in organic Rankine cycles for low-enthalpy geothermal resources [J]. Energy, 2012, 37 (1): 364-370.
[18]	Li Zhi (李智), Zheng Xiao (郑晓). Application of improved particle swarm algorithm in optimization design of agricultural engineering [J]. Transactions of the CSAE (农业工程学报), 2004, 20 (3): 15-18.
[19]	Sun Z X, Wang J F, Dai Y P. Exergy analysis and optimization of a hydrogen production process by a solar-liquefied natural gas hybrid driven transcritical CO2 power cycle [J]. International Journal of Hydrogen Energy, 2012, 37 (24): 18731-18739.
[20]	Khan M S, Lee M. Design optimization of single mixed refrigerant natural gas liquefaction process using the particle swarm paradigm with nonlinear constraints [J]. Energy, 2013, 49: 146-155.

基于粒子群算法的车用柴油机有机朗肯循环系统运行参数优化

Parametric optimization of organic Rankine cycle for vehicle diesel enginebased on particle swarm optimization

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 20

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张双星, 刘舫辰, 张义飞, 杜文静. R-134a脉动热管相变蓄放热实验研究[J]. 化工学报, 2023, 74(S1): 165-171.
[2]	张义飞, 刘舫辰, 张双星, 杜文静. 超临界二氧化碳用印刷电路板式换热器性能分析[J]. 化工学报, 2023, 74(S1): 183-190.
[3]	陈爱强, 代艳奇, 刘悦, 刘斌, 吴翰铭. 基板温度对HFE7100液滴蒸发过程的影响研究[J]. 化工学报, 2023, 74(S1): 191-197.
[4]	刘明栖, 吴延鹏. 导光管直径和长度对传热影响的模拟分析[J]. 化工学报, 2023, 74(S1): 206-212.
[5]	王志国, 薛孟, 董芋双, 张田震, 秦晓凯, 韩强. 基于裂隙粗糙性表征方法的地热岩体热流耦合数值模拟与分析[J]. 化工学报, 2023, 74(S1): 223-234.
[6]	杨欣, 王文, 徐凯, 马凡华. 高压氢气加注过程中温度特征仿真分析[J]. 化工学报, 2023, 74(S1): 280-286.
[7]	晁京伟, 许嘉兴, 李廷贤. 基于无管束蒸发换热强化策略的吸附热池的供热性能研究[J]. 化工学报, 2023, 74(S1): 302-310.
[8]	程成, 段钟弟, 孙浩然, 胡海涛, 薛鸿祥. 表面微结构对析晶沉积特性影响的格子Boltzmann模拟[J]. 化工学报, 2023, 74(S1): 74-86.
[9]	张化福, 童莉葛, 张振涛, 杨俊玲, 王立, 张俊浩. 机械蒸汽压缩蒸发技术研究现状与发展趋势[J]. 化工学报, 2023, 74(S1): 8-24.
[10]	李艺彤, 郭航, 陈浩, 叶芳. 催化剂非均匀分布的质子交换膜燃料电池操作条件研究[J]. 化工学报, 2023, 74(9): 3831-3840.
[11]	王玉兵, 李杰, 詹宏波, 朱光亚, 张大林. R134a在菱形离散肋微小通道内的流动沸腾换热实验研究[J]. 化工学报, 2023, 74(9): 3797-3806.
[12]	李科, 文键, 忻碧平. 耦合蒸气冷却屏的真空多层绝热结构对液氢储罐自增压过程的影响机制研究[J]. 化工学报, 2023, 74(9): 3786-3796.
[13]	何松, 刘乔迈, 谢广烁, 王斯民, 肖娟. 高浓度水煤浆管道气膜减阻两相流模拟及代理辅助优化[J]. 化工学报, 2023, 74(9): 3766-3774.
[14]	陈哲文, 魏俊杰, 张玉明. 超临界水煤气化耦合SOFC发电系统集成及其能量转化机制[J]. 化工学报, 2023, 74(9): 3888-3902.
[15]	齐聪, 丁子, 余杰, 汤茂清, 梁林. 基于选择吸收纳米薄膜的太阳能温差发电特性研究[J]. 化工学报, 2023, 74(9): 3921-3930.