New volume translation functions for biodiesel density prediction with the Peng-Robinson Equation of state in terms of its raw materials

Autor: Raquel M. Cavalcante, Marcellus G.F. de Moraes, Fernando Luiz Pellegrini Pessoa, André F. Young, Gutierri Ricardo Dos Santos Gonçalves Salgueiro
Rok vydání: 2021
Předmět:
Zdroj: Fuel. 293:120254
ISSN: 0016-2361
DOI: 10.1016/j.fuel.2021.120254
Popis: Biodiesel final product specifications must fit in a narrow property range. Density is an example of an important fuel property that strongly depends on the structure of the components and may largely vary among the vegetable oils and animal fats. Therefore, it is interesting to have a model capable to predict the biofuel density as a function of its raw materials. Meanwhile, it is also interesting to model the behavior of a fuel under working conditions and it is done using thermodynamic models. However, the deficiency of these models in the calculation of volumetric properties is well known. So, the objective of this work is the development of new volume translation functions for predicting the density of biodiesel from different raw material sources using the Peng-Robinson equation of state, with critical properties calculated with the Constantinou-Gani group contribution method. Volume translation is made as a function of temperature and average molar mass. The functions were statistically evaluated for the quality of their parameters, the adequacy of the fit, and the prediction confidence interval. Then, the best functions were selected, and their robustness was proved with good results obtained in the prediction of several literature data at different conditions. With this approach, we provide an extensible model, applicable to all kinds of biodiesel and more likely to be extrapolated to more severe temperature and pressure conditions. Hence, density calculations can be done with a simple and readily available model at any stage of production and application.
Databáze: OpenAIRE
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