Integration of computational modeling and experimental techniques to design fuel surrogates

H.A. Choudhury, S. Intikhab, Sawitree Kalakul, Rafiqul Gani, N.O. Elbashir*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

101 Downloads (Pure)

Abstract

Conventional gasoline comprises of a large number of hydrocarbons that makes it difficult to utilize in a model for prediction of its properties. Modeling is needed for a better understanding of the fuel flow and combustion behavior that are essential to enhance fuel quality and improve engine performance. A simplified alternative is to develop surrogate fuels that have fewer compounds and emulate certain important desired physical properties of the target fuels. Six gasoline blends were formulated through a computer aided model based technique “Mixed Integer Non-Linear Programming” (MINLP). Different target properties of the surrogate blends for example, Reid vapor pressure (RVP), dynamic viscosity (η), density (ρ), Research octane number (RON) and liquid-liquid miscibility of the surrogate blends) were calculated. In this study, more rigorous property models in a computer aided tool called Virtual Process-Product Design Laboratory (VPPD-Lab) are applied onto the defined compositions of the surrogate gasoline. The aim is to primarily verify the defined composition of gasoline by means of VPPD-Lab. ρ, η and RVP are calculated with more accuracy and constraints such as distillation curve and flash point on the blend design are also considered. A post-design experiment-based verification step is proposed to further improve and fine-tune the “best” selected gasoline blends following the computation work. Here, advanced experimental techniques are used to measure the RVP, ρ, η, RON and distillation temperatures. The experimental results are compared with the model predictions as well as the extended calculations in VPPD-Lab.
Original languageEnglish
JournalJournal of Natural Gas Science & Engineering
Volume55
Pages (from-to)585-594
ISSN1875-5100
DOIs
Publication statusPublished - 2018

Keywords

  • Fuel surrogates
  • Gasoline blend
  • GC-DHA
  • Additives
  • Alternative fuel
  • GTL

Fingerprint Dive into the research topics of 'Integration of computational modeling and experimental techniques to design fuel surrogates'. Together they form a unique fingerprint.

Cite this