Study on the Effect of Parameter Sensitivity on Engine Optimization Results

Author:

Jiang Kuo1ORCID,Zeng Hong12ORCID,Wu Zefan1,Sun Jianping1,Chen Cai1,Han Bing3

Affiliation:

1. Marine Engineering College, Dalian Maritime University, Dalian 116026, China

2. Dalian Maritime University Smart Ship Limited Company, Dalian 116026, China

3. National Engineering Research Center of Ship & Shipping Control System, Shanghai 200100, China

Abstract

The effects of six control parameters, intake valve opening timing (IVO), exhaust valve opening timing (EVO), compression ratio (CR), engine speed, intake temperature, and intake pressure on engine output power, indicated specific fuel consumption (ISFC), and nitrogen oxides (NOx) emissions, are analyzed through engine simulation. The six parameters were categorized into two groups based on the degree of influence: high influence (EVO, speed and intake pressure) and low influence (CR, IVO and intake temperature). The relationship between these two groups of parameters and power, ISFC and NOx emissions was explored. Optimization was carried out for each of the two groups of parameters, and the optimization of the high impact parameters resulted in a higher diversity and wider distribution of the solution set. On the other hand, the optimization of the low-impact parameters resulted in a more concentrated distribution of the solution set, while better reflecting the trade-off between the optimization objectives. For the optimal solutions for both sets of parameters, the high-impact parameters provided significant optimization performance compared to the standard operating conditions. Although power and ISFC were optimized, the optimal solution for the low-impact parameter performed poorly with a significant increase in NOx emissions. Therefore, the parameters should be evaluated for optimization using high impact parameters to improve engine performance.

Funder

High Technology Ship Research and Development Program

Liaoning Provincial Department of Natural Resources

Liaoning Provincial Department of Science and Technology

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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