Zero-dimensional single zone engine modeling of an SI engine fuelled with methane and methane-hydrogen blend using single and double Wiebe Function: A comparative study


Yildiz M., Ceper B.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, vol.42, no.40, pp.25756-25765, 2017 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 42 Issue: 40
  • Publication Date: 2017
  • Doi Number: 10.1016/j.ijhydene.2017.07.016
  • Journal Name: INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.25756-25765
  • Keywords: Double-Wiebe function, Zero-D model, Methane-hydrogen blend, SI engine, SPARK-IGNITION ENGINE, COMBUSTION PROCESS, DIESEL-ENGINE, NATURAL-GAS, VALIDATION, PERFORMANCE, SIMULATION, PREDICTION, MIXTURES, GASOLINE
  • Erciyes University Affiliated: Yes

Abstract

Combustion modeling plays a key role in an engine simulation to predict in-cylinder pressure development and engine performance with a high level accuracy. Wiebe function, representing mass fraction burned (MFB) as a function of crank angle position, is widely used to predict the combustion process. The work presents a predictive zero dimensional (Zero-D) single zone engine modeling of an SI engine fuelled with methane and methane-hydrogen blend. In this work, the single and double forms of Wiebe function were used to estimate the combustion process in the modeling. For this purpose, the single and double-Wiebe functions' parameters were calculated using the least squares method by fitting to the MFB curves calculated from experimental pressure data. These Wiebe functions were, then, introduced to the Zero-D single zone engine model developed for the methane and methane-hydrogen blend fueled SI engine to obtain in-cylinder pressure development and gross indicated mean effective pressure (GIMEP) for the engine performance prediction. The results show that the model with double-Wiebe Function fit better than that with single-Wiebe function. In addition, the fitted double-Wiebe function has a significant improvement in the GIMEP prediction for methane-hydrogen blend fueled SI engine modeling rather than the methane-fueled modeling. (C) 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.