Prediction of biofuel ignition quality using a DCN虠RON interconversion tool

F. M. Haas, F. L. Dryer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Emerging alternative and bio-derived fuels require techniques to predict key properties of both neat fuels and their blends with conventional basestocks in the absence of large experimental datasets. One key fuel property is ignition behavior, which is of critical importance for traditional (SI/CI) and emerging (HCCI/RCCI) engine technologies. This work offers a tool to predict research octane number (RON) using measurements of derived cetane number (DCN), which is determined by a comparatively faster and less expensive standardized experiment. Utility of this quantitative property-property relationship (QPPR) screening tool is demonstrated through accurate (±2 RON unit) prediction of literature RON values for small alkyl ester blends with gasoline based on new DCN measurements for these same esters with n-heptane.

Original languageEnglish (US)
Title of host publicationFall Technical Meeting of the Eastern States Section of the Combustion Institute 2013
PublisherCombustion Institute
Pages404-409
Number of pages6
ISBN (Electronic)9781629937199
StatePublished - 2013
Externally publishedYes
EventFall Technical Meeting of the Eastern States Section of the Combustion Institute 2013 - Clemson, United States
Duration: Oct 13 2013Oct 16 2013

Publication series

NameFall Technical Meeting of the Eastern States Section of the Combustion Institute 2013

Conference

ConferenceFall Technical Meeting of the Eastern States Section of the Combustion Institute 2013
Country/TerritoryUnited States
CityClemson
Period10/13/1310/16/13

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • General Chemical Engineering
  • Physical and Theoretical Chemistry

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