Measurement, correlation and prediction of isothermal vapor–liquid equilibria of different systems containing vegetable oils

Belting, Patrícia Castro; Gmehling, Jürgen; Bölts, Rainer; Rarey, Jürgen; Ceriani, Roberta; Chiavone‐Filho, Osvaldo; Meirelles, Antônio José de Almeida

doi:10.1016/j.fluid.2015.03.009

Cited by 12 publications

(9 citation statements)

References 41 publications

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“…The parameters α, A , B , and C of eqs and were adjusted considering phase equilibrium data for the studied systems. Therefore, vapor pressure data from hexane (1) + vegetable oil (2) mixtures − were used to determine hexane activity coefficient values (γ 1 ) through eq . where p 1 is the partial pressure of component 1 in the mixture, x 1 is the mole fraction of component 1, and P 1 vap and B 11 are the vapor pressure and second virial coefficient for the pure component 1, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…The modeling of the thermodynamic equilibrium for systems involving vegetable oils is problematical because the properties of the mixtures change with the temperature and pressure and they are also poorly presented in the literature. Belting et al 50 reported that the UNIQUAC model presented good results in the prediction of the vapor−liquid equilibrium and that the modified UNIFAC and UNIFAC models were not good to predict the phase behavior; however, those models could qualitatively represent the equilibrium phenomenon.…”

Section: Journal Of Chemical and Engineering Datamentioning

confidence: 99%

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Measurement and Prediction of Properties for Mixtures of Vegetable Oils + Hexane at Different Temperatures

Costa

Pereira

2019

J. Chem. Eng. Data

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The present study aimed to evaluate the effect of temperature, composition, and type of vegetable oil on the properties of mixture hexane + vegetable oil. Experimental data of densities for mixtures of vegetable oils (canola, soybean, and sunflower) with hexane were measured at temperatures between 293.15 and 323.15 K in order to evaluate the excess volume profiles of each system. Predictive and adjusted equations were used to compare the results and evaluate models. The thermodynamic properties of the mixture (excess Gibbs free energy, entropy, and enthalpy ( G ex, S ex, and H ex, respectively)) were determined and evaluated. All volume profiles presented a negative behavior, and the increase in this effect was observed when the temperature was increased; also, it was noted that the most unsaturated vegetable oils suffered a greater influence of temperature on their volumetric profiles. Prediction models showed good agreement with the experimental data of the literature. The G ex profiles presented a negative behavior in all cases, while the S ex and H ex profiles were positive. In general, large differences were not observed between the profiles of G ex, S ex, and H ex for the studied mixtures of hexane and vegetable oils.

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Section: Methodsmentioning

confidence: 99%

Section: Journal Of Chemical and Engineering Datamentioning

confidence: 99%

Measurement and Prediction of Properties for Mixtures of Vegetable Oils + Hexane at Different Temperatures

Costa

Pereira

2019

J. Chem. Eng. Data

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“…An alternate to the dynamic method is the static-synthetic method, − which involves the use of an equilibrium cell of known volume maintained in an isothermal environment, with a provision for metered addition of the chemical components for measurement, such as a piston injector. In a previous work, the authors have performed measurements using this type of apparatus with success, but found that the measurement procedure was protracted and repetitive.…”

Section: Introductionmentioning

confidence: 99%

Isothermal Vapor–Liquid Equilibrium Measurements for Alcohol + Water/n-Hexane Azeotropic Systems Using Both Dynamic and Automated Static-Synthetic Methods

et al. 2019

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Isothermal vapor–liquid equilibrium measurements (pressure– temperature–liquid and vapor composition) were conducted for water (1) + propan-1-ol (2), n-hexane (1) + butan-2-ol (2), and n-hexane (1) + 2-methyl-propan-1-ol (2) at three temperatures, each using a dynamic moderate pressure equilibrium still. Additionally, pressure–temperature-overall composition measurements for the first two systems were conducted for the intermediate temperatures using a newly automated static-synthetic apparatus to confirm the operability of the automation scheme and to compare the model predictions of the vapor-phase compositions from the processed pressure–temperature–liquid composition data by the static-synthetic method with the experimental vapor compositions measured by the dynamic method. The automation scheme was developed and implemented on the original static total pressure vapor–liquid equilibrium apparatus of Raal et al. (Fluid Phase Equilib. 2011, 310, 156–165) using the LabVIEW graphical programming language. In comparison to the manual operating mode, this scheme improved the efficiency of operation by reducing the man-hours involved and minimized the associated uncertainty with the measurement procedure with respect to liquid composition. Once executed, the control scheme requires approximately 2 days to produce a single 40-data point (pressure–temperature–liquid composition) isotherm and minimizes human intervention to 2–3 h in comparison to a 2-week long measurement procedure in the nonautomated operating mode and in excess of 3 weeks using the dynamic method with analysis by gas chromatography. All experimental data were modeled using the γ–Φ approach with the NRTL and UNIQUAC activity coefficient models and the virial equation of state with the Hayden and O’Connell correlation. For the pressure–temperature–liquid and vapor composition data measured, thermodynamic consistency testing was performed. The data sets passed the point test with 0.01 tolerance and the area test with 10% tolerance. Experimental vapor-phase compositions obtained by phase sampling in the dynamic method compared reasonably well with the predictions from the pressure–temperature–liquid composition data measured by the automated static-synthetic method.

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“…Prever o equilíbrio de fases de componentes presentes na produção do biodiesel é crucial para o desenvolvimento de processos industriais, possibilitando o projeto e otimização de equipamentos de separação, produção, armazenamento e combustão (BELTING et al, 2015;VENERAL et al, 2013 Bharath et al (1889Bharath et al ( , 1992Bharath et al ( , 1993 reportaram uma grande quantidade de dados de equilíbrio líquido-vapor de substâncias importantes na produção do biodiesel, como sistemas binários de ésteres etílicos de ácidos graxo + dióxido de carbono (BHARATH et al, 1989); os sistemas binários de dióxido de carbono + ácido oleico, dióxido de carbono + trioleína, dióxido de carbono + óleo de palmiste, dióxido de carbono + óleo de gergelim na faixa de temperatura entre 313K e 353K (BHARATH et al, 1992); e sistemas binários de ácidos graxos + dióxido de carbono (BHARATH et al,1993). Bharath et al (1889Bharath et al ( , 1993 et al (2009).…”

Section: Estudos Envolvendo Sistemas Presentes Na Produção Do Biodieselunclassified

“…Nota-se que quanto maior a fração molar de etanol no sistema, os dados experimentais estão mais próximo da sua linha de equilibro pura. A altas composições de éster etilico, os dados experimentais se afastam da linha de equilibrio do etanol puro, mas não se encontram tão próximos da sua linha Tabelas 4.17 e 4.18 apresentam os pontos experimentais envolvidos no estudo de caso reportado porBelting et al (2015) . Dados experimentais do ponto de bolha para o sistema o sistemas envolvendo óleo de soja à temperatura de 373,15 K. Tabela 4.19 apresenta as propriedades críticas calculadas a partir da combinação dos 12 métodos de contribuição e a regra de mistura de Lorentz-Berhelot.…”

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Avaliação de métodos de contribuição de grupos na predição do equilíbrio de fases de misturas presentes na produção de biodiesel utilizando a Equação de Peng-Robinson

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Measurement, correlation and prediction of isothermal vapor–liquid equilibria of different systems containing vegetable oils

Cited by 12 publications

References 41 publications

Measurement and Prediction of Properties for Mixtures of Vegetable Oils + Hexane at Different Temperatures

Measurement and Prediction of Properties for Mixtures of Vegetable Oils + Hexane at Different Temperatures

Isothermal Vapor–Liquid Equilibrium Measurements for Alcohol + Water/n-Hexane Azeotropic Systems Using Both Dynamic and Automated Static-Synthetic Methods

Avaliação de métodos de contribuição de grupos na predição do equilíbrio de fases de misturas presentes na produção de biodiesel utilizando a Equação de Peng-Robinson

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