A predictive 0-D HCCI combustion model for ethanol, natural gas, gasoline, and primary reference fuel blends

FUEL

卷:237

Article

Zhou, Yingcong¹  Hariharan, Deivanayagam¹  Yang, Ruinan¹  Mamalis, Sotirios¹  Lawler, Benjamin¹ 

[1] SUNY Stony Brook, Dept Mech Engn, Stony Brook, NY 11794 USA

关键词: HCCI;    Combustion model;    Wiebe function;    Ignition delay;    PRF;   

DOI  :  10.1016/j.fuel.2018.10.041

来源: Elsevier

【 摘 要 】

Homogeneous Charge Compression Ignition (HCCI) is a promising advanced combustion concept with high thermal efficiency and low exhaust emissions. This work purposes a computationally-efficient, zero-dimensional (0-D) HCCI combustion model that does not need to solve any differential equations. To develop the burn rate correlations, experimental HCCI data of ethanol, natural gas, E10-gasoline, and Primary Reference Fuel (PRF) blends was collected on a CFR engine. The burn rate model is built based on the individual cycle mass fraction burned (MFB) curves calculated from the experimental data. CA0 can be predicted from an ignition delay correlation. Once CA0 is known, CA50 and CA90 can be predicted based on CAO and the charge-mass equivalence ratio phi'. Then, with CA0, 50 and 90 known, a Wiebe function can be constructed to represent the MFB curve and burn rate. For PRF blends, low-temperature and high-temperature heat releases (LTHR and HTHR) are modeled by two Wiebe functions with phi' and PRF number dependence. The fitted model has high accuracy compared to the experimental data with R(2 )values generally greater than 0.97. Finally, various ignition delay correlations from the literature are also tested against the experimentally collected data and some modifications to the correlations are suggested.

【 授权许可】

Free