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Author:

Ji, Changwei (Ji, Changwei.) (Scholars:纪常伟) | Liu, Xiaolong (Liu, Xiaolong.) | Gao, Binbin (Gao, Binbin.) | Wang, Shuofeng (Wang, Shuofeng.) | Yang, Jinxin (Yang, Jinxin.)

Indexed by:

EI Scopus

Abstract:

This paper developed and validated a quasi-dimensional model for predicting the combustion performance in hybrid hydrogen gasoline engines. In this model, the two-zone thermodynamic differential equations were established base on the ideal gas equations and conservation equations of mass and energy for the burnt and unburned zones, respectively. The heat release rate was determined by the fractal-based turbulence entrainment model. The laminar flame speed correlation of hydrogen-gasoline blends was implemented in the turbulence entrainment model to characterize the variation of combustion properties after hydrogen addition. The numerical analysis code MATLAB was applied to solve the differential equations. The predicting accuracy of the proposed model was evaluated through the comparison with experimental results under different hydrogen volume fractions, equivalence ratios, and manifolds absolute pressures. The comparison results confirmed that the proposed model could capture the combustion behavior for various operating conditions, suggesting that this model is applicable for combustion performance prediction of hybrid hydrogen gasoline engines. Copyright © (2014) by the Committee of WHEC2014 All rights reserved.

Keyword:

Hydrogen Forecasting Engines Differential equations Turbulence Gasoline Combustion

Author Community:

  • [ 1 ] [Ji, Changwei]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Liu, Xiaolong]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Gao, Binbin]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Wang, Shuofeng]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Yang, Jinxin]Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • [wang, shuofeng]key laboratory of beijing on regional air pollution control, college of environmental and energy engineering, beijing university of technology, beijing; 100124, china

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Source :

Year: 2014

Volume: 2

Page: 738-744

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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