Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach
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Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making ApproachFecha
2020Cita bibliográfica
Lamas, M.I.; Castro-Santos, L.; Rodriguez, C.G. Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach. J. Mar. Sci. Eng. 2020, 8, 946. https://doi.org/10.3390/jmse8110946
Resumen
[Abstract] In this work, a numerical model was developed to analyze the performance and emissions of a marine diesel engine, the Wärtsilä 6L 46. This model was validated using experimental measurements and was employed to analyze several pre-injection parameters such as pre-injection rate, duration, and starting instant. The modification of these parameters may lead to opposite effects on consumption and/or emissions of nitrogen oxides (NOₓ), carbon monoxide (CO), and hydrocarbons (HC). According to this, the main goal of the present work is to employ a multiple-criteria decision-making (MCDM) approach to characterize the most appropriate injection pattern. Since determining the criteria weights significantly influences the overall result of a MCDM problem, a subjective weighting method was compared with four objective weighting methods: entropy, CRITIC (CRiteria Importance Through Intercriteria Correlation), variance, and standard deviation. The results showed the importance of subjectivism over objectivism in MCDM analyses. The CRITIC, variance, and standard deviation methods assigned more importance to NOₓ emissions and provided similar results. Nevertheless, the entropy method assigned more importance to consumption and provided a different injection pattern.
Palabras clave
MCDM
Marine engine
Injection
Emissions
Consumption
Marine engine
Injection
Emissions
Consumption
Versión del editor
Derechos
Atribución 4.0 Internacional
ISSN
2077-1312