Published November 2019 | Version v1
Journal article

Phi-T map analysis on RCCI engine fueled by methanol and biodiesel

  • 1. School of Energy and Power, Jiangsu University of Science and Technology, ZhenJiang, 212000 (China)

Description

Highlights: • Phi-T map is used to study the major factors on the performance of a RCCI engine. • Higher equivalence ratio cells reduce with the increase of methanol induction. • Soot emission significantly drops by 75% with the increase of methanol to 60%. • Compared to pure biodiesel, the IMEP increases by 10.2% when 60% methanol is induced. -- Abstract: In this work, a 3-dimensional numerical platform coupled with skeletal chemical reaction mechanism is employed to investigate the impact of various operating conditions on the performance and emissions of a RCCI engine fueled with biodiesel and methanol. Especially, a φ-T map was employed to investigate the methanol percentage on the performance of the engine. The results indicated that the groups of cells distributed at high ER (above 2.0) decrease as methanol percentage increases. When the engine is operating at full load conditions, compared to pure biodiesel, the IMEP of the RCCI engine with 60% methanol increases by 10.2%, soot emissions significantly drops by 75%, but the NOx emissions increases by 12.3%. This is because the increase of methanol percentage creates a better mixing between the fuel and air and resulting in a faster and more homogeneous combustion process. However, when the engine is operating at 10% load conditions, with the increase of methanol percentage, the combustion will be deteriorated. For extreme case, when methanol percentage increases to 80%, misfire takes place in the engine due to its significant higher latent heat and specific heat of the methanol.

Additional details

Identifiers

DOI
10.1016/j.energy.2019.115958;
PII
S0360544219316482;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
187
Journal Page Range
vp.
ISSN
0360-5442
CODEN
ENEYDS

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.