Numerical analysis of emissions from marine engines using alternative fuels

• Autorzy: Lamas M. I. , Rodriguez C. G. , Telmo J. , Rodriguez J. D.
• Języki publikacji: EN

Abstrakty

EN

The current restrictions on emissions from marine engines, particularly sulphur oxides (SOx ), nitrogen oxides (NOx ) and carbon dioxide (CO2 ), are compelling the shipping industry to a change of tendency. In the recent years, many primary and secondary reduction techniques have been proposed and employed in marine engines. Nevertheless, the increasingly restrictive legislation makes it very difficult to continue developing efficient reduction procedures at competitive prices. According to this, the paper presents the possibility to employ alternative fuels. A numerical model was developed to analyze the combustion process and emissions using oil fuel, natural gas and hydrogen. A commercial marine engine was studied, the Wartsila 6L 46. It was found, that hydrogen is the cleanest fuel regarding CO2 , hydrocarbons (HC) and carbon monoxide (CO). Nevertheless, it is very expensive for marine applications. Natural gas is cheaper and cleaner than fuel oil regarding CO2 and CO emissions. Still, natural gas emits more NOx and HC than oil fuel. SOx depends basically on the sulphur content of each particular fuel.

Słowa kluczowe

EN

fuel; natural gas; hydrogen; marine engine; emissions

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2015
• Tom: nr 4
• Strony: 48--52
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Lamas M. I.

• Escuela Politecnica Superior. Universidade da Coruna, Spain

autor

Rodriguez C. G.

• Escuela Politecnica Superior. Universidade da Coruna, Spain

autor

Telmo J.

• Escuela Politecnica Superior. Universidade de Santiago de Compostela, Spain

autor

Rodriguez J. D.

• Escuela Politecnica Superior. Universidade da Coruna, Spain

Bibliografia

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• 4. Panagiotis, A.; Chryssakis, C.; Kaiktsis, L. Optimization of injection characteristics in a large marine diesel engine using evolutionary algorithms. SAE Paper 2009-01-1448, 2009
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• 14. www.wartsila.com