@inproceedings{88ec27cfaa47428394a948419520fbd0,
title = "Prediction of biofuel ignition quality using a DCN虠RON interconversion tool",
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.",
author = "Haas, \{F. M.\} and Dryer, \{F. L.\}",
note = "Publisher Copyright: Copyright {\textcopyright} 2013 by The Combustion Institute.; Fall Technical Meeting of the Eastern States Section of the Combustion Institute 2013 ; Conference date: 13-10-2013 Through 16-10-2013",
year = "2013",
language = "English (US)",
series = "Fall Technical Meeting of the Eastern States Section of the Combustion Institute 2013",
publisher = "Combustion Institute",
pages = "404--409",
booktitle = "Fall Technical Meeting of the Eastern States Section of the Combustion Institute 2013",
}