Journal of Jilin University(Engineering and Technology Edition) ›› 2019, Vol. 49 ›› Issue (3): 805-815.doi: 10.13229/j.cnki.jdxbgxb20171245

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Exhaust gas recirculation performance evaluation of marine diesel engine and its application

Xiang⁃huan ZU(),Chuan⁃lei YANG(),He⁃chun WANG,Yin⁃yan WANG   

  1. Department of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2017-12-21 Online:2019-05-01 Published:2019-07-12
  • Contact: Chuan?lei YANG E-mail:zuhuan0815@163.com;yangchuanlei@hrbeu.edu.cn

Abstract:

In view of EGR performance evaluation of turbocharged diesel engine, especially the optimal EGR rate under ‘small sample’, an optimization evaluation and decision?making method is proposed. First, the major test parameters including in?cylinder burst pressure, fuel consumption rate, NOx, CO and smoke are selected based onTBD234V12 type turbocharged diesel engine with a high?pressure exhaust gas recirculation system to establish the optimal correlation analysis model for the preliminary evaluation of different EGR schemes. Second, according to different speed conditions of diesel engine, a comprehensive evaluation model is established using optimized objective evaluation method. Finally, a simulation optimization platform for comprehensive performance evaluation and optimal decision?making of EGR is designed and established using MATLAB GUIDE. The results show that When diesel engine is in low?speed conditions, low EGR rate corresponds to a higher comprehensive assessment value, so a smaller EGR rate should be adopted. When diesel engine is in high?speed conditions, the comprehensive assessment value corresponding to the lower EGR rate is lower, and the higher EGR rate obtains a higher assessment value. However, the evaluation value of overly high EGR rate decreases. This result is basically consistent with the current control principle of EGR; The simulation optimization platform can quickly and easily solve the EGR performance evaluation and optimal decision?making of turbocharged diesel engine.

Key words: internal?combustion engine engineering, marine diesel engine, exhaust gas recirculation, performance evaluation, optimal EGR rate, simulation optimization platform

CLC Number: 

  • TK422

Table 1

Main technical parameters of TBD234V12"

项目参数
标定功率/kW444(1800 r/min)
缸径/mm×行程/mm128×140
压缩比15∶1
气缸排列方式V型 12缸 60°夹角
燃烧室型式直喷w型

Table 2

Main Instruments and Equipments"

测试仪器测试参数
AVL AMA I60废气分析仪柴油机排气中的NOx、CO2、CO、CH等废气成分体积浓度
Testo 350烟气分析仪柴油机进气CO2成分

439 CPACIMETER

不透光式烟度计

烟度测量
FC2210 智能油耗仪柴油机燃油消耗量
SG880 水力测功器转矩

Fig.1

EGR system structure diagram"

Fig.2

Test bench physical map"

Table 3

Test project"

工况点

发动机转速/

(r·min-1

负荷百分数

/%

工况耗时/

min

19002510
29005010
39007510
412002510
512005010
612007510
715002510
815005010
915007510

Fig. 3

Main interface of Simulation optimization"

Table 4

Part of test data"

OPEGR率/%

燃油消耗率/

[g·(kW·h)-1]

CO

/10-6

NOx

/10-6

烟度

/m-1

缸内最高燃烧压力

/MPa

op12.4299.2336.37376.990.0465.8001
4.6302.5354.73329.650.0495.5583
8.6305.6395.36287.320.0585.4671
10.4310.6504.82251.20.095.4318
11.6313.1633.94231.30.145.3094
op22.2256.7196.2832.450.0517.7996
4.5259.9211.3786.30.0557.6176
7.1261.3229.4701.60.067.5171
9.3266.8273.5643.50.0787.4105
11.8268.1380.6589.70.197.1965
op32.2241.6316.571104.50.0637.2545
4.6242.7335.531002.60.0887.2108
7.5243.9366.7943.50.0847.1393
9.8246.9427.84890.650.127.0167
11.5248.7503.62783.60.276.9568
op41.8216.8164.31399.80.0569.0835
4217.9169.91365.40.0649.01549
7.9220.8176.91240.60.0788.8452
9.1224.5190.411190.118.7263
11.2226.1280.51086.40.258.5216
op51.7214.7286.5314320.119.1568
4.2217.9304.761351.60.139.0763
7.4218.2329.8911850.158.8016
9.1220.8366.541069.40.218.7569
11.8224.3426.71994.20.338.5597
op61.6199.8156.421010.110.5505
3.9202.3164.218940.1310.4165
7.5205172.216530.14810.2256
9.7209.220615210.16510.0584
11.1212.2312.314650.329.8568

Table 5

Associated sequence"

Xmax299.25.3094251.20.046336.37
X1299.2336.37376.990.0465.8001
X2302.5354.73329.650.0495.5583
X3305.6395.36287.320.0585.4671
X4310.6504.82251.20.095.4318
X5313.1633.94231.30.145.3094

Table 6

Results analysis of different NOxweights"

η3综合权重向量η1k综合评估值R
0.26[0.14420.15390.26000.23870.2032][0.82270.84780.81180.71620.6609]
0.28[0.14030.14980.28000.23230.1977][0.81690.84420.81170.72080.6666]
0.3[0.13640.14560.30000.22580.1922][0.81110.84060.81150.72540.6723]
0.32[0.13250.14150.32000.21940.1867][0.81630.83740.80760.72490.6672]
0.34[0.12860.13730.34000.21290.1812][0.79960.83340.81120.73470.6838]
0.36[0.12470.13310.36000.20650.1757][0.79380.82970.81110.73930.6895]
0.38[0.12080.12900.38000.20000.1702][0.78800.82610.81090.74400.6952]
0.40[0.11690.12480.40000.19360.1647][0.78220.82250.81080.74860.7010]
0.45[0.10720.11440.45000.17740.1510][0.76780.81350.81040.76020.7153]
0.50[0.09740.10400.50000.16130.1373][0.75330.80450.81000.77180.7296]
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