Use este identificador para citar ou linkar para este item: http://hdl.handle.net/1843/57232
Tipo: Artigo de Periódico
Título: Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gases
Autor(es): André de Freitas Gonçalves
Esly Ferreira da Costa Junior
Andréa Oliveira Souza da Costa
Resumo: Proper simulation of processes of the natural gas industry such as dehydration, liquefaction and regasification require accurate prediction of thermodynamic properties of the working fluids. For such processes, cubic equations of state are the calculation methods most frequently employed. Among them, the Peng-Robinson equation is usually the one recommended for gas, refinery and petrochemical applications in many simulators. Numerous works have been proposed in order to improve the temperature dependence relation of the attraction parameter of the equation – the so called alpha function. In this work, five currently available alpha functions are evaluated for the prediction of molar volumes and enthalpies of natural gas samples. Additionally, parameters of one of the models are readjusted to volumetric data of methane, in order to represent its supercritical behavior more accurately. Experimental data of 44 mixtures are compared with calculated results. Van der Waals mixing rules are used, with binary interaction parameters set as zero. In the case of the original alpha function, it is also tested how the inclusion of non-zero binary parameters affects the predictions. The extended Saffari-Zahedi model presents the smallest average deviation for the molar volumes (1.35%). For the enthalpy calculation, the inclusion of the binary parameters results in deviation values of 2.62% for gas-gas transitions and 4.44% for gas-liquid transitions.
Assunto: Entalpia
Gás natural
Análise volumétrica
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Instituição: UFMG
Departamento: ENG - DEPARTAMENTO DE ENGENHARIA QUÍMICA
ENGENHARIA - ESCOLA DE ENGENHARIA
Tipo de Acesso: Acesso Aberto
Identificador DOI: https://doi.org/10.1590/0001-3765202020190603
URI: http://hdl.handle.net/1843/57232
Data do documento: 2020
metadata.dc.url.externa: https://www.scielo.br/j/aabc/a/ktJ3DLP77hJhtxDt4jMqGPp/?lang=en
metadata.dc.relation.ispartof: Anais da Academia Brasileira de Ciências
Aparece nas coleções:Artigo de Periódico

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