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

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  • Lee, Seungpil
  • Park, Sungwook

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.

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  • Lee, Seungpil & Park, Sungwook, 2017. "Optimization of the piston bowl geometry and the operating conditions of a gasoline-diesel dual-fuel engine based on a compression ignition engine," Energy, Elsevier, vol. 121(C), pages 433-448.
    • Handle: RePEc:eee:energy:v:121:y:2017:i:c:p:433-448
    DOI: 10.1016/j.energy.2017.01.026
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    References listed on IDEAS

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    1. Li, Yaopeng & Jia, Ming & Chang, Yachao & Liu, Yaodong & Xie, Maozhao & Wang, Tianyou & Zhou, Lei, 2014. "Parametric study and optimization of a RCCI (reactivity controlled compression ignition) engine fueled with methanol and diesel," Energy, Elsevier, vol. 65(C), pages 319-332.
    2. Li, Yaopeng & Jia, Ming & Liu, Yaodong & Xie, Maozhao, 2013. "Numerical study on the combustion and emission characteristics of a methanol/diesel reactivity controlled compression ignition (RCCI) engine," Applied Energy, Elsevier, vol. 106(C), pages 184-197.
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    Cited by:

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    3. Nayak, Swarup Kumar & Chandra Mishra, Purna, 2019. "Combustion characteristics, performances and emissions of a biodiesel-producer gas dual fuel engine with varied combustor geometry," Energy, Elsevier, vol. 168(C), pages 585-600.
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    5. Sungur, Bilal & Basar, Cem & Kaleli, Alirıza, 2023. "Multi-objective optimisation of the emission parameters and efficiency of pellet stove at different supply airflow positions based on machine learning approach," Energy, Elsevier, vol. 278(PA).
    6. Motlagh, Tara Yazdani & Azadani, Leila N. & Yazdani, Kaveh, 2020. "Multi-objective optimization of diesel injection parameters in a natural gas/diesel reactivity controlled compression ignition engine," Applied Energy, Elsevier, vol. 279(C).
    7. Shen, Zhaojie & Wang, Xinyan & Zhao, Hua & Lin, Bo & Shen, Yitao & Yang, Jianguo, 2021. "Numerical investigation of natural gas-diesel dual-fuel engine with different piston geometries and radial clearances," Energy, Elsevier, vol. 220(C).
    8. Gharehghani, Ayat & Abbasi, Hamid Reza & Alizadeh, Pouria, 2021. "Application of machine learning tools for constrained multi-objective optimization of an HCCI engine," Energy, Elsevier, vol. 233(C).
    9. Zhao, Xiaohuan & Liu, Fang & Wang, Chunhua, 2022. "Effects of different piston combustion chamber heights on heat transfer and energy conversion performance enhancement of a heavy-duty truck diesel engine," Energy, Elsevier, vol. 249(C).
    10. Lee, Seungpil & Yoon, Sungjun & Kwon, Hyuckmo & Lee, Joonkyu & Park, Sungwook, 2019. "Effects of engine operating conditions on flame propagation processes in a compression ignition optical engine," Applied Energy, Elsevier, vol. 254(C).

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