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Research Papers

Investigation on the Control Strategy for Marine Selective Catalytic Reduction System

[+] Author and Article Information
Youhong Xiao

College of Power and Energy Engineering,
Harbin Engineering University,
Harbin 150001, China
e-mail: xiaoyouhong@hrbeu.edu.cn

Hui Zhao, Wenyang Tan

College of Power and Energy Engineering,
Harbin Engineering University,
Harbin 150001, China

Xinna Tian

China Shipbuilding Power
Engineering Institute Co., Ltd.,
Shanghai 201206, China

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received July 18, 2017; final manuscript received July 26, 2018; published online September 10, 2018. Assoc. Editor: Ming Xin.

J. Dyn. Sys., Meas., Control 141(1), 011005 (Sep 10, 2018) (12 pages) Paper No: DS-17-1368; doi: 10.1115/1.4041011 History: Received July 18, 2017; Revised July 26, 2018

Selective catalytic reduction (SCR) system has been proven to be an effective technology for the removal of NOx emitted from marine diesel engines. In order to comply with stringent International Maritime Organization (IMO) Tier III NOx emission regulations, a number of engine manufacturers have developed their own SCR systems. This paper focuses on modeling of an SCR reactor and developing model-based urea dosing control strategy. A mathematical model of SCR reactors has been established. Model-based control strategy relies on the three-state and one-state reactor models established to accomplish urea dosing algorithm and is promising in limiting excessive NH3 slip. The SCR reactor model is further used in a simulation for the purpose of developing model-based urea dosing control strategies. The simulation results show that the NO sliding mode control requires a massive prestudy of the NOx reduction capability of the catalyst in order to set an appropriate control objective for each operating condition. However, this calibration work can be omitted in the optimal control and NH3 sliding mode control, which mitigates the workload of the controller design. The optimal control strategy presents a satisfied control performance in limiting NH3 slip during transient state engine operating conditions.

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References

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Figures

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Fig. 1

Simulation relative errors for one-state SCR model and three-state SCR model

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Fig. 2

Selective catalytic reduction experimental test rig for diesel engine of 300 kW

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Fig. 3

Validation of temperature under steady-state engine operating points of 25% load (75 kW) and 100% load (300 kW)

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Fig. 4

Validation of species concentration under steady-state engine operating points of 25% load (75 kW) and 100% load (300 kW)

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Fig. 5

Validation of temperature under steady-state engine operating points of 50% load (150 kW) and 75% load (225 kW)

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Fig. 6

Validation of species concentration under steady-state engine operating points of 50% load (150 kW) and 75% load (225 kW)

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Fig. 7

Validation of temperature under transient state engine operating condition

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Fig. 8

Validation of species concentration under transient state engine operating condition

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Fig. 9

Target NOx conversion rate map

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Fig. 10

NO sliding mode control diagram

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Fig. 11

NH3 sliding mode control diagram

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Fig. 12

Optimal control strategy diagram

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Fig. 13

Comparison of sliding mode control and optimal control strategies under steady-state engine operating points of 25% load (75 kW) and 100% load (300 kW)

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Fig. 14

Comparison of sliding mode control and optimal control strategies under steady-state engine operating points of 50% load (150 kW) and 75% load (225 kW)

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Fig. 15

Comparison of sliding mode control and optimal control strategies under transient state engine operating condition

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