Numerical Evaluation of the Effect of Fuel Blending with CO 2 and H 2 on the Very Early Corona-Discharge Behavior in Spark Ignited Engines

Valerio Mariani, Giorgio La Civita, Leonardo Pulga, Edoardo Ugolini, Emanuele Ghedini, Stefania Falfari, Giulio Cazzoli, Gian Marco Bianchi and Claudio Forte
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Valerio Mariani: Department of Industrial Engineering DIN, Alma Mater Studiorum, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
Giorgio La Civita: Department of Industrial Engineering DIN, Alma Mater Studiorum, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
Leonardo Pulga: NAIS S.r.l., Via Maria Callas 4, 40131 Bologna, Italy
Edoardo Ugolini: Department of Industrial Engineering DIN, Alma Mater Studiorum, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
Emanuele Ghedini: Department of Industrial Engineering DIN, Alma Mater Studiorum, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
Stefania Falfari: Department of Industrial Engineering DIN, Alma Mater Studiorum, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
Giulio Cazzoli: Department of Industrial Engineering DIN, Alma Mater Studiorum, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
Gian Marco Bianchi: Department of Industrial Engineering DIN, Alma Mater Studiorum, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
Claudio Forte: NAIS S.r.l., Via Maria Callas 4, 40131 Bologna, Italy

Energies, 2022, vol. 15, issue 4, 1-19

Abstract: Reducing green-house gases emission from light-duty vehicles is compulsory in order to slow down the climate change. The application of High Frequency Ignition systems based on the Corona discharge effect has shown the potential to extend the dilution limit of engine operating conditions promoting lower temperatures and faster combustion events, thus, higher thermal and indicating efficiency. Furthermore, predicting the behavior of Corona ignition devices against new sustainable fuel blends, including renewable hydrogen and biogas, is crucial in order to deal with the short-intermediate term fleet electric transition. The numerical evaluation of Corona-induced discharge radius and radical species under those conditions can be helpful in order to capture local effects that could be reached only with complex and expensive optical investigations. Using an extended version of the Corona one-dimensional code previously published by the present authors, the simulation of pure methane and different methane–hydrogen blends, and biogas–hydrogen blends mixed with air was performed. Each mixture was simulated both for 10% recirculated exhaust gas dilution and for its corresponding dilute upper limit, which was estimated by means of chemical kinetics simulations integrated with a custom misfire detection criterion.

Keywords: corona ignition; corona discharge model; lean limit; EGR; detailed chemical kinetics (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: 2022
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