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A new method for predicting the isobaric heat capacity of biodiesel-related esters based on the corresponding states principle
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In this work, a new model based on the three-parameter corresponding states principle (CSP) is proposed for estimating the isobaric heat capacity of biodiesel-related esters in the liquid state. This model is an updated version of that proposed by Poling-Prausnitz-O’Connell (2001). The model's parameters were fitted to 95 experimental heat capacity data of 5 biodiesel-related esters covering a temperature range from 270 K to 393 K. Then, 344 experimental data points of 25 esters in a slightly wider temperature interval (250 K–393 K) were used to test the model. The absolute average relative deviation obtained for the correlation and prediction datasets were 0.78% and 0.83%, respectively. The method proposed in this work was critically compared to the eight most consolidated models available in the literature for the same property (5 based on the group contribution concept and 3 based on the CSP). For all comparisons, we used a rigorous procedure that considered the accuracy and the physical consistency of the estimated values. In view of all criteria, we recommend the use of our model in future applications.
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CARMO, F. R. do et al. A new method for predicting the isobaric heat capacity of biodiesel-related esters based on the corresponding states principle. Fluid Phase Equilibria, [S. I.], v. 521, Oct. 2020. DOI: https://doi.org/10.1016/j.fluid.2020.112734.
