Study of FAME model systems: database and evaluation of predicting models for biodiesel physical properties
| Autor: | Camila Nardi Pinto, Priscila Missano Florido, Cíntia Bernardo Gonçalves, Paola de Cassia Franco Visioli |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Biodiesel
060102 archaeology Database Mixing rule Renewable Energy Sustainability and the Environment 020209 energy 06 humanities and the arts 02 engineering and technology computer.software_genre Surface tension Modeling and simulation Viscosity Biodiesel production 0202 electrical engineering electronic engineering information engineering 0601 history and archaeology PREDIÇÃO computer Mathematics |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| Popis: | The present paper reports a viscosity and density unpublished database of systems formed for fatty acid methyl esters (FAMEs), leading to 426 experimental data points of each property. Kay’s mixing rule and Grunberg-Nissan equation were used to estimate data and the group contribution models GC-VOL and GC-UNIMOD were used to predict density and viscosity, respectively. For surface tension, parameters of a Wilson modified equation were adjusted and tested in systems with composition similar to biodiesel. Density estimations resulted in global average relative deviations (ARD) of 0.02%, 0.07% and 0.15% for Kay’s mixing rule weighted in mass and molar fractions, and GC-VOL model, respectively. For viscosities, GC-UNIMOD was the most accurate model with global ARD of 5.17%. The surface tension prediction resulted in global ARD minor than 7.00%. These results are an important tool to improve the biodiesel production, its modeling and simulation. |
| Databáze: | OpenAIRE |
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