The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Vapor Pressures of Alcohol−Gasoline Blends
Abstract
Reid vapor pressures (RVPs) were determined for alcohol−gasoline blends containing 5−85% by volume of methanol, ethanol, 1-propanol, 2-propanol, 1-butanol, 2-butanol, i -butanol (2-methyl-1-propanol), and t -butanol (2-methyl-2-propanol). The results are compared to literature data. Most alcohols form near-azeotropic mixtures with hydrocarbons in gasoline that affect the vapor pressure of the blend in a non-ideal manner. In addition, vapor pressures of dual-alcohol blends with gasoline containing a range of ethanol and 1-butanol volume percentages were determined. We demonstrate a simple method to prepare dual-alcohol−gasoline blends with RVPs indistinguishable from that of the base gasoline. It may be advantageous to use alcohols in addition to ethanol in the form of dual- or multi-alcohol blends as these become available in larger scale in the future.
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Citations
Cites
Non-fermentative pathways for synthesis of branched-chain higher alcohols as biofuels
Atsumi, S., Hanai, T., & Liao, J. C. (2008) · Nature · doi:10.1038/nature06450 · Cited by 1,945
Cited by
Renewable Oxygenate Blending Effects on Gasoline Properties
Christensen, E., Yanowitz, J., Ratcliff, M., & McCormick, R. L. (2011) · Energy & Fuels · doi:10.1021/ef2010089 · Cited by 319
Metadata
- Authors
- Andersen, V. F., Anderson, J. E., Wallington, T. J., Mueller, S. A., & Nielsen, O. J.
- Venue
- Energy & Fuels
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-05-21
- Volume
- 24
- Issue
- 6
- Pages
- 3647-3654
- ISSN
- 0887-0624 (ISSN-L)
- 1520-5029
- OpenAlex
- W2021766806
- Cited by
- 200
- References
- 1
- FWCI
- 7.84
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
