Analysis of the pre-injection system of a marine diesel engine through multiple-criteria decision-making and artificial neural networks

• Autorzy: Rodriguez C. G. , Lamas M. I. , Rodriguez J. D. , Abbas A.

Identyfikatory

DOI

10.2478/pomr-2021-0051

• Języki publikacji: EN

Abstrakty

EN

The present work proposes several pre-injection patterns to reduce nitrogen oxides in the Wartsila 6L 46 marine engine. A numerical model was carried out to characterise the emissions and consumption of the engine. Several pre-injection quantities, durations, and starting instants were analysed. It was found that oxides of nitrogen can be noticeably reduced but at the expense of increasing consumption as well as other emissions such as carbon monoxide and hydrocarbons. According to this, a multiple-criteria decision-making (MCDM) model was established to select the most appropriate parameters. Besides, an artificial neural network (ANN) was developed to complement the results and analyse a huge quantity of alternatives. This hybrid MCDM-ANN methodology proposed in the present work constitutes a useful tool to design new marine engines.

Słowa kluczowe

EN

marine engine; emissions; consumption; artificial neural networks; multi-criteria decision making; computational fluid dynamics

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2021
• Tom: nr 4
• Strony: 88--96
• Opis fizyczny: Bibliogr. 40 poz., rys., tab.

Twórcy

autor

Rodriguez C. G.

• University of Coruńa, Paseo Ronda, 15011 Coruńa, Spain

autor

Lamas M. I.

• University of Coruna, Mendizabal, 15403 Ferrol, Spain

autor

Rodriguez J. D.

• University of Coruńa, 19 de Febreiro, 15405 Ferrol, Spain

autor

Abbas A.

• Missisipi State University, Rood Hoad, 39762 Missisipi, USA

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