Evaluation of the star anise extract as a natural cold flow improver for enhancing the cold flow properties of diesel fuel
Bowen Xu,
Bin Sun,
Lulu Cui,
Jiahao Chen,
Xiaomin Chen,
Xinyue Li,
Zhongcheng Wang,
Sheng Han and
Yuan Xue
Renewable Energy, 2023, vol. 215, issue C
Abstract:
High-proportioned normal-alkanes in diesel are liable to crystallize and gel in cold climates, which considering as the major reasons for the poor cold flow properties (CFPs) of diesel. In this study, trans anethole (TA) was successful extracted from the naturally renewable substance of star anise, and first used to polymerize with alkyl methacrylate (C14MC) in different ratios. So, a novel kind of natural cold flow improvers (CFIs) of alkyl methacrylate-trans anethole copolymers (C14MC-TA) were prepared to enhance the CFPs of diesel. The depressing effects of these CFIs on cold filter plugging point (CFPP) and solid point (SP) of diesel were explored and discussed in-depth. The investigation concludes that the natural C14MC-TA as a CFI exerted positive effects on enhancing the CFPs of diesel. As the molar ratio of C14MC and TA was 1:1, C14MC-TA achieved the best optimal depressing effect at 2000 ppm dosage, and the reductions of CFPP and SP were up to 14 °C and 22 °C, respectively. The depressing mechanism of the natural CFIs were also discussed by polarizing optical microscope, differential scanning calorimeter, rheological analysis and X-ray diffractometer.
Keywords: Diesel fuel; Cold flow properties; Natural; Renewable; Cold flow improvers; Depressing mechanism (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148123009424
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:215:y:2023:i:c:s0960148123009424
DOI: 10.1016/j.renene.2023.119028
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().