A review of phase change materials for vehicle component thermal buffering

Winterization of peanut biodiesel to improve the cold flow properties

Crude oils: characterization of waxes precipitated on cooling by d.s.c. and thermomicroscopy

The predictive UNIQUAC model, previously applied with success to the description of wax formation in fossil fuels, is extended here to the modeling of the precipitation of saturated and unsaturated fatty acid methyl/ethyl esters. Correlations for the thermophysical properties of the fatty acid esters are proposed, and the model is evaluated against experimental data of binary mixtures. Despite the lack of accurate data for the cloud points of biodiesel, the results obtained here allow for an adequate evaluation of the model proposed, showing that it can produce good predictions of the cloud points of mixtures of fatty acid esters.

/pdf/prediction-of-cloud-points-of-biodiesel-2xe9wg9t9e.pdf

Prediction of cloud points of biodiesel

The relatively poor cold-flow properties of monoalkyl esters of vegetable oils and animal fats (biodiesel) present a major obstacle to their development as alternative fuels and extenders for combustion in direct injection compressionignition (diesel) engines In this work, differential scanning calorimetry (DSC) heating and cooling curves of methyl soyate (SME), methyl tallowate (TME), SME/TME admixtures, and winterized SME were analyzed Completion of melt, crystallization onset (Onset), and other temperatures corresponding to melting and freezing peaks were correlated to predict cloud point (CP), pour point (PP), cold filter plugging point (CFPP), and low-temperature flow test (LTFT) data Effects of treating methyl esters with cold-flow improvers were examined Low-temperature flow properties of biodiesel may be accurately inferred from subambient DSC analyses of high-melting or freezing (β-form) peaks The temperature of maximal heat flow for freezing peaks gave the best accuracy for predicting CP, PP, and CFPP, while freezing point gave the best accuracy for predicting LTFT Onset also gave good correlations with respect to predicting PP, CFPP, and LTFT Cooling scan parameters were more reliable than heating scan parameters

Thermal analysis of alternative diesel fuels from vegetable oils

Diesel fuels: determination of onset crystallization temperature, pour point and filter plugging point by differential scanning calorimetry. Correlation with standard test methods

Bernard Neff

Papers

Diesel fuels: determination of onset crystallization temperature, pour point and filter plugging point by differential scanning calorimetry. Correlation with standard test methods

33S n.m.r.: A tool for analysis of petroleum oils