Research on Intake Pressures Broadening Methanol Substitution Rate Boundaries for Diesel/Methanol Compound Combustion Marine Engines Based on Gaussian Process Regression
DOI:10.13949/j.cnki.nrjgc.2024.06.001
Key Words:marine diesel engine  diesel/methanol compound combustion  Gaussianprocess regression  nondonminated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)
Author NameAffiliationE-mail
FAN Jinyu Marine Engineering College Jimei University Xiamen 361021 China
Fujian Provincial Key Laboratory of Shipbuilding and Marine Engineering Xiamen 361021 China 
jyfan2022@163.com 
CAI Zheng Marine Engineering College Jimei University Xiamen 361021 China 1970431171@qq.com 
YANG Chenxi Marine Engineering College Jimei University Xiamen 361021 China 376013969@qq.com 
LI Pinfang Marine Engineering College Jimei University Xiamen 361021 China
Fujian Provincial Key Laboratory of Shipbuilding and Marine Engineering Xiamen 361021 China 
alexlpf@163.com 
HUANG Zhaoxia College of Science Jimei University Xiamen 361021 China zxhuang@jmu.edu.cn 
HUANG Jialiang* Marine Engineering College Jimei University Xiamen 361021 China
Fujian Provincial Key Laboratory of Shipbuilding and Marine Engineering Xiamen 361021 China 
jlhuang@jmu.edu.cn 
Hits: 886
Download times: 514
Abstract:In order to make the marine diesel/methanol compound combustion(DMCC) engine meet increasingly stringent emission regulations and obtain higher economic benefits, the methanol substitution rates under different loads were widened by adjusting the intake pressure of the engine, thus realizing the simultaneous reduction of emissions and fuel consumption rates. Based on the Gaussian process regression model combined with experimental data and simulation models, the impact of intake pressures on the methanol substitution rate boundaries under different loads was analyzed. The MAP graph of the methanol substitution rate boundaries to further analyze the widening proportion was plotted. A prediction model for the engine brake specific fuel consumption(BSFC) and NOx emissions was established. The model was combined with non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ) to optimize the BSFC and NOx emissions, and to obtain the optimal Pareto front solution set and select the optimal control parameter combinations. The optimal control parameter combinations were calibrated to the electronic control unit(ECU) for experimental validation. Results show that the maximum substitution rate of methanol is widened by 12.7% on average by adjusting the intake pressure,The BSFC is reduced by 5.6% on average, and the NOx emissions are reduced by 16.4% on average, compared to those under the diesel-only mode.
View Full Text  View/Add Comment  Download reader