Thermodynamic Modeling and Simulation at high- pressures of Binary Systems containing Biodiesel Components: different types of the Peng-Robinson equation of state vs Artificial Neural Networks (2018)
- Authors:
- USP affiliated authors: CASTILLO, PEDRO FELIPE ARCE - EEL ; FREIRE, NIAN VIEIRA - EEL
- Unidade: EEL
- Subjects: SIMULAÇÃO (APRENDIZAGEM); TERMODINÂMICA; BIODIESEL
- Keywords: Artificial Neural Networks; Peng-Robinson; Volume-Translated; Group Contribution
- Agências de fomento:
- Language: Inglês
- Abstract: Biodiesel is a fuel made of renewable sources of animal, vegetal or algae lipids and a promissory substitute of petroleum diesel due to be environmentally friendly. Synthesized by the transesterification reaction between a triglyceride and an alcohol, this biofuel is focus in many studies to modeling its thermodynamic behavior with your compounds to improve the efficiency of its production. In this work, the phase behavior of the vaporliquid equilibrium of binary systems containing biodiesel components and alcohol solventswas analyzed by the Peng-Robinson, Volume-Translated Peng-Robinson and Group Contribution Volume-Translated Peng-Robinson equations of state. By another hand, it was realized the thermodynamic simulating by using Artificial Neural Networks with Molecular Descriptors and comparing the calculated values obtained between these thermodynamic models with the experimental ones. It was demonstrated that, although the Peng-Robinson equation of state provide good results, the Volume-Translated and, mainly, the Group Contribution Volume-Translated models provide results more accurate and can be used for complex substances. Results obtained via Artificial Neural Networks with molecular Descriptors are slightly better than those obtained by Group Contribution Volume-Translated Peng-Robinson equation of state.
- Imprenta:
- Source:
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ABNT
FREIRE, Nian Vieira e CASTILLO, Pedro Felipe Arce. Thermodynamic Modeling and Simulation at high- pressures of Binary Systems containing Biodiesel Components: different types of the Peng-Robinson equation of state vs Artificial Neural Networks. 2018, Anais.. Valence: ISAS, 2018. Disponível em: http://www.supflu2018.fr/pdf/PT10.pdf. Acesso em: 29 dez. 2025. -
APA
Freire, N. V., & Castillo, P. F. A. (2018). Thermodynamic Modeling and Simulation at high- pressures of Binary Systems containing Biodiesel Components: different types of the Peng-Robinson equation of state vs Artificial Neural Networks. In Proceedings of the 12th International Symposium on Supercritical Fluids. Valence: ISAS. Recuperado de http://www.supflu2018.fr/pdf/PT10.pdf -
NLM
Freire NV, Castillo PFA. Thermodynamic Modeling and Simulation at high- pressures of Binary Systems containing Biodiesel Components: different types of the Peng-Robinson equation of state vs Artificial Neural Networks [Internet]. Proceedings of the 12th International Symposium on Supercritical Fluids. 2018 ;[citado 2025 dez. 29 ] Available from: http://www.supflu2018.fr/pdf/PT10.pdf -
Vancouver
Freire NV, Castillo PFA. Thermodynamic Modeling and Simulation at high- pressures of Binary Systems containing Biodiesel Components: different types of the Peng-Robinson equation of state vs Artificial Neural Networks [Internet]. Proceedings of the 12th International Symposium on Supercritical Fluids. 2018 ;[citado 2025 dez. 29 ] Available from: http://www.supflu2018.fr/pdf/PT10.pdf - Experimental data and thermodynamic modeling of the CO2 + Acetone + Efavirenz system at high pressures
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