Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gases

Detalhes bibliográficos
Autor(a) principal: GONÇALVES,ANDRÉ F.
Data de Publicação: 2020
Outros Autores: COSTA,ANDRÉA O.S. DA, COSTA JUNIOR,ESLY F. DA
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501112
Resumo: Abstract 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.
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spelling Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gasesAlpha functionenthalpyequation of statenatural gasPeng-RobinsonvolumeAbstract 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.Academia Brasileira de Ciências2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501112Anais da Academia Brasileira de Ciências v.92 n.3 2020reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202020190603info:eu-repo/semantics/openAccessGONÇALVES,ANDRÉ F.COSTA,ANDRÉA O.S. DACOSTA JUNIOR,ESLY F. DAeng2020-11-25T00:00:00Zoai:scielo:S0001-37652020000501112Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2020-11-25T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gases
title Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gases
spellingShingle Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gases
GONÇALVES,ANDRÉ F.
Alpha function
enthalpy
equation of state
natural gas
Peng-Robinson
volume
title_short Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gases
title_full Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gases
title_fullStr Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gases
title_full_unstemmed Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gases
title_sort Comparison of modified alpha functions of the PR-EoS for volume and enthalpy prediction of natural gases
author GONÇALVES,ANDRÉ F.
author_facet GONÇALVES,ANDRÉ F.
COSTA,ANDRÉA O.S. DA
COSTA JUNIOR,ESLY F. DA
author_role author
author2 COSTA,ANDRÉA O.S. DA
COSTA JUNIOR,ESLY F. DA
author2_role author
author
dc.contributor.author.fl_str_mv GONÇALVES,ANDRÉ F.
COSTA,ANDRÉA O.S. DA
COSTA JUNIOR,ESLY F. DA
dc.subject.por.fl_str_mv Alpha function
enthalpy
equation of state
natural gas
Peng-Robinson
volume
topic Alpha function
enthalpy
equation of state
natural gas
Peng-Robinson
volume
description Abstract 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501112
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501112
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202020190603
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.92 n.3 2020
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
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reponame_str Anais da Academia Brasileira de Ciências (Online)
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