Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach
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 starti...
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doaj-d89f2ca086e64f059408a983ebc824232021-04-02T16:12:36ZengMDPI AGJournal of Marine Science and Engineering2077-13122020-11-01894694610.3390/jmse8110946Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making ApproachMaria Isabel Lamas0Laura Castro-Santos1Christina G. Rodriguez2Higher Polytechnic University College, University of Coruña, 15403 Ferrol, SpainHigher Polytechnic University College, University of Coruña, 15403 Ferrol, SpainNorplan Engineering S.L., 15570 Naron, SpainIn 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 (NO<sub>x</sub>), 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 NO<sub>x</sub> emissions and provided similar results. Nevertheless, the entropy method assigned more importance to consumption and provided a different injection pattern.https://www.mdpi.com/2077-1312/8/11/946MCDMmarine engineinjectionemissionsconsumption |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maria Isabel Lamas Laura Castro-Santos Christina G. Rodriguez |
spellingShingle |
Maria Isabel Lamas Laura Castro-Santos Christina G. Rodriguez Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach Journal of Marine Science and Engineering MCDM marine engine injection emissions consumption |
author_facet |
Maria Isabel Lamas Laura Castro-Santos Christina G. Rodriguez |
author_sort |
Maria Isabel Lamas |
title |
Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach |
title_short |
Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach |
title_full |
Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach |
title_fullStr |
Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach |
title_full_unstemmed |
Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach |
title_sort |
optimization of a multiple injection system in a marine diesel engine through a multiple-criteria decision-making approach |
publisher |
MDPI AG |
series |
Journal of Marine Science and Engineering |
issn |
2077-1312 |
publishDate |
2020-11-01 |
description |
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 (NO<sub>x</sub>), 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 NO<sub>x</sub> emissions and provided similar results. Nevertheless, the entropy method assigned more importance to consumption and provided a different injection pattern. |
topic |
MCDM marine engine injection emissions consumption |
url |
https://www.mdpi.com/2077-1312/8/11/946 |
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