CFD Study and Experimental Validation of a Dual Fuel Engine: Effect of Engine Speed

Roberta De Robbio, Maria Cristina Cameretti, Ezio Mancaruso, Raffaele Tuccillo and Bianca Maria Vaglieco
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Roberta De Robbio: Istituto di Scienze e Tecnologie per l’Energia e la Mobilità Sostenibili (CNR), 80125 Napoli, Italy
Maria Cristina Cameretti: Department of Industrial Engineering (D.I.I.), Università di Napoli Federico II, 80125 Napoli, Italy
Ezio Mancaruso: Istituto di Scienze e Tecnologie per l’Energia e la Mobilità Sostenibili (CNR), 80125 Napoli, Italy
Raffaele Tuccillo: Department of Industrial Engineering (D.I.I.), Università di Napoli Federico II, 80125 Napoli, Italy
Bianca Maria Vaglieco: Istituto di Scienze e Tecnologie per l’Energia e la Mobilità Sostenibili (CNR), 80125 Napoli, Italy

Energies, 2021, vol. 14, issue 14, 1-24

Abstract: Dual fuel engines induce benefits in terms of pollutant emissions of PM and NO x together with carbon dioxide reduction and being powered by natural gas (mainly methane) characterized by a low C/H ratio. Therefore, using natural gas (NG) in diesel engines can be a viable solution to reevaluate this type of engine and to prevent its disappearance from the automotive market, as it is a well-established technology in both energy and transportation fields. It is characterized by high performance and reliability. Nevertheless, further improvements are needed in terms of the optimization of combustion development, a more efficient oxidation, and a more efficient exploitation of gaseous fuel energy. To this aim, in this work, a CFD numerical methodology is described to simulate the processes that characterize combustion in a light-duty diesel engine in dual fuel mode by analyzing the effects of the changes in engine speed on the interaction between fluid-dynamics and chemistry as well as when the diesel/natural gas ratio changes at constant injected diesel amount. With the aid of experimental data obtained at the engine test bench on an optically accessible research engine, models of a 3D code, i.e., KIVA-3V, were validated. The ability to view images of OH distribution inside the cylinder allowed us to better model the complex combustion phenomenon of two fuels with very different burning characteristics. The numerical results also defined the importance of this free radical that characterizes the areas with the greatest combustion activity.

Keywords: dual fuel; CFD analysis; combustion; ultraviolet visible spectroscopy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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