4.5 Article

Identification of Promising Alternative Mono-Alcohol Fuel Blend Components for Spark Ignition Engines

Journal

ENERGIES
Volume 13, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/en13081955

Keywords

alcohols; fuel properties; advantaged gasoline blends; spark ignition engine; biofuel

Categories

Funding

  1. U.S. Department of Energy (DOE) [DE-AC36-08GO28308]
  2. Bioenergy Technology Office
  3. U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office
  4. U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office
  5. US National Science Foundation [DGE-0801707]

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Alcohols are attractive fuel blendstocks for spark ignition engines due to their high octane values and potentially positive influence on performance and emission. Although methanol, ethanol, and butanol have been widely studied, other biomass-derived alcohols may have similar or better properties. However, it is not feasible to experimentally investigate the fuel potential of every molecule. The goals of this study were to develop a methodology for rapid screening of a fuel property database for mono-alcohols and to identify alcohols with the potential of blending to produce advantaged motor gasolines. A database was developed with 13 fuel properties of all saturated C1-C10 mono-alcohols. A decision framework was used to evaluate alcohols suitable for blending in gasoline for spark ignition engines in two scenarios: low-range (up to 15 vol%) blends and high-range (greater than 40 vol%) blends. The low-range blend cases resulted in the identification of 48 alcohols. In the case of high-range blending, only six alcohols were found to be suitable. This is the first study to systematically evaluate all C1-C10 saturated alcohols for blending with gasoline using relevant fuel properties. A novel aspect of this study is the evaluation of the influence of errors in predicted property values. These scenario screenings focus attention on a smaller number of promising candidate molecules, and the approach could be modified for other classes of fuel molecules, engine types, and fuel blending goals.

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