Optimization of the piston bowl geometry and the operating conditions of a gasoline-diesel dual-fuel engine based on a compression ignition engine

Seungpil Lee and Sungwook Park

Energy, 2017, vol. 121, issue C, 433-448

Abstract: This paper describes the optimization of the piston bowl geometry and the operating conditions of a dual-fuel engine based on a compression ignition engine using gasoline port fuel injection and diesel direct injection. KIVA-3V code coupled with a CHEMKIN chemistry solver was used for simulation and a micro-genetic algorithm was used as the optimization algorithm. The micro-genetic algorithm has a smaller population than a conventional genetic algorithm. And in the optimization, the proposed algorithm has six populations for each generation, sixteen variables composed of seven geometry variables and nine operating condition variables. As a result of optimization, a 9% improvement in the gross indicated specific fuel consumption and a simultaneous decrease of the overall NOx and soot emissions were achieved. Also, the amounts of carbon monoxide and unburned hydrocarbons were decreased. The baseline case has a re-entrant shape, while the optimized case has a shallow shape and a narrower spray angle. Furthermore, under operating conditions, the gasoline/total fuel ratio was increased to 90% (similar to a gasoline HCCI (Homogenous charge compression ignition) engine), the EGR (Exhaust gas recirculation) rate was increased to 40% for dilution, and both the boost pressure and initial temperature were decreased.

Keywords: Internal combustion engine optimization; RCCI; KIVA-3V release 2 code; Micro-genetic algorithm; Dual-fuel engine (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:121:y:2017:i:c:p:433-448

DOI: 10.1016/j.energy.2017.01.026

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