Prediction of solidification behavior of biodiesel containing monoacylglycerols above the solubility limit. (1st May 2022)
- Record Type:
- Journal Article
- Title:
- Prediction of solidification behavior of biodiesel containing monoacylglycerols above the solubility limit. (1st May 2022)
- Main Title:
- Prediction of solidification behavior of biodiesel containing monoacylglycerols above the solubility limit
- Authors:
- Seniorita, Latifa
Minami, Eiji
Kawamoto, Haruo - Abstract:
- Highlights: Solubility limits of monoacylglycerols in biodiesels were 0.5 wt% or less. A simple prediction model for the liquidus temperature of biodiesel was proposed. Liquidus temperature was predicted only from the total monoacylglycerol content. Abstract: Monoacylglycerols (MAGs) are typical impurities in biodiesel (fatty acid methyl esters, FAMEs) and are often the cause of solid precipitation because of their high melting points. In this study, the liquidus temperature of biodiesel, below which solidification of biodiesel components can occur, was measured by differential scanning calorimetry or visual observation, and was predicted by thermodynamic models. First, the solubility limit of MAGs, defined as the total MAG content above which MAGs can solidify before FAMEs, was found to be about 0.25 wt% for coconut methyl esters and about 0.5 wt% for palm methyl esters and rapeseed methyl esters. For biodiesel containing MAGs above the solubility limit, the compound formation (CF) model showed good agreement with the experimentally determined liquidus temperatures. This thermodynamic model assumed different types of MAGs solidifying simultaneously while forming molecular compounds. However, within the range of the total MAG content of actual biodiesel (typically less than 0.7 wt%), the number of fitting parameters in the CF model was excessive. This led to the use of a simplified version of the CF model with only one parameter, which still fitted the experimental resultsHighlights: Solubility limits of monoacylglycerols in biodiesels were 0.5 wt% or less. A simple prediction model for the liquidus temperature of biodiesel was proposed. Liquidus temperature was predicted only from the total monoacylglycerol content. Abstract: Monoacylglycerols (MAGs) are typical impurities in biodiesel (fatty acid methyl esters, FAMEs) and are often the cause of solid precipitation because of their high melting points. In this study, the liquidus temperature of biodiesel, below which solidification of biodiesel components can occur, was measured by differential scanning calorimetry or visual observation, and was predicted by thermodynamic models. First, the solubility limit of MAGs, defined as the total MAG content above which MAGs can solidify before FAMEs, was found to be about 0.25 wt% for coconut methyl esters and about 0.5 wt% for palm methyl esters and rapeseed methyl esters. For biodiesel containing MAGs above the solubility limit, the compound formation (CF) model showed good agreement with the experimentally determined liquidus temperatures. This thermodynamic model assumed different types of MAGs solidifying simultaneously while forming molecular compounds. However, within the range of the total MAG content of actual biodiesel (typically less than 0.7 wt%), the number of fitting parameters in the CF model was excessive. This led to the use of a simplified version of the CF model with only one parameter, which still fitted the experimental results well. One parameter value was determined for biodiesel from one feedstock, allowing the liquidus temperature of biodiesel from a known feedstock to be predicted based only on the total MAG content, even for biodiesel containing diacylglycerols in addition to MAGs. … (more)
- Is Part Of:
- Fuel. Volume 315(2022)
- Journal:
- Fuel
- Issue:
- Volume 315(2022)
- Issue Display:
- Volume 315, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 315
- Issue:
- 2022
- Issue Sort Value:
- 2022-0315-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05-01
- Subjects:
- Biodiesel -- Monoacylglycerol -- Cold flow properties -- Thermodynamic prediction model
Fuel -- Periodicals
Coal -- Periodicals
Coal
Fuel
Periodicals
662.6 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/00162361 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.fuel.2022.123204 ↗
- Languages:
- English
- ISSNs:
- 0016-2361
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4048.000000
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- 21076.xml