Gas Hydrate Technology: Computational Modeling for the Hydrate Growth Stage
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Vetor (Online) |
Texto Completo: | https://periodicos.furg.br/vetor/article/view/13164 |
Resumo: | Within sustainable chemistry, gas hydrates are gaining prominence due to their innovative applications in different scientific and industrial contexts. The ability to understand and control its properties is crucial to the full development of hydrate-based technologies. In this context, based on the mathematical model published by Vlasov for methane hydrate formation, the present study seeks to develop a computational code capable of simulating the formation rate of different gas hydrates, under any thermodynamic conditions, exhibiting the advantage of reducing the number of experiments needed to evaluate its formation behavior. To assess the feasibility of simulating the formation of other gas hydrate compositions, the code was used to simulate the cyclopentane hydrate formation. The idealized computational model successfully performed the numerical reproduction of the experimental curves for the methane hydrate, presenting the biggest error of 19.73%. The results presented in this work are consistent with published works, providing means of observation of the initial experimental conditions influence until the final stage of formation. Furthermore, the computational code has a global nature, which allows the simulation of different gas hydrate compositions, with promising application in the development of hydrate-based technologies. |
id |
FURG-7_6bb02505133a767e86a2ed64fbd59d7c |
---|---|
oai_identifier_str |
oai:periodicos.furg.br:article/13164 |
network_acronym_str |
FURG-7 |
network_name_str |
Vetor (Online) |
repository_id_str |
|
spelling |
Gas Hydrate Technology: Computational Modeling for the Hydrate Growth StageTecnologia de Hidrato de Gás: Modelagem Computacional para a Etapa de Crescimento do HidratoGas-hydratesComputational-modelHydrate formationHidratos-de-gásModelo-computacionalFormação de hidratosWithin sustainable chemistry, gas hydrates are gaining prominence due to their innovative applications in different scientific and industrial contexts. The ability to understand and control its properties is crucial to the full development of hydrate-based technologies. In this context, based on the mathematical model published by Vlasov for methane hydrate formation, the present study seeks to develop a computational code capable of simulating the formation rate of different gas hydrates, under any thermodynamic conditions, exhibiting the advantage of reducing the number of experiments needed to evaluate its formation behavior. To assess the feasibility of simulating the formation of other gas hydrate compositions, the code was used to simulate the cyclopentane hydrate formation. The idealized computational model successfully performed the numerical reproduction of the experimental curves for the methane hydrate, presenting the biggest error of 19.73%. The results presented in this work are consistent with published works, providing means of observation of the initial experimental conditions influence until the final stage of formation. Furthermore, the computational code has a global nature, which allows the simulation of different gas hydrate compositions, with promising application in the development of hydrate-based technologies.Dentro da química sustentável, os hidratos de gás estão ganhando destaque devido às suas inovadoras aplicações, em diferentes contextos científicos e industriais. A capacidade de entender e controlar suas propriedades são cruciais para o pleno desenvolvimento de tecnologias baseadas em hidratos. Neste contexto, a partir do modelo matemático publicado por Vlasov para a formação de hidrato de metano, o presente estudo busca o desenvolvimento de um código computacional capaz de simular o grau de formação de diferentes hidratos de gás, em quaisquer condições termodinâmicas, com a vantagem de reduzir a quantidade de experimentos necessários para a avaliação do seu comportamento de formação. Para avaliar a viabilidade na simulação de formação de outras composições de hidratos de gás, o código foi utilizado para simular a formação do hidrato de ciclopentano. O modelo computacional idealizado apresentou sucesso na reprodução numérica das curvas experimentais para o hidrato de metano, apresentando o maior erro de 19,73%. Os resultados apresentados neste trabalho mostram-se coerentes frente à literatura, fornecendo meios de observação da influência das condições experimentais iniciais até a etapa final de formação. Ainda, o código computacional apresenta um caráter global, pois permite simular diferentes composições de hidratos de gás, com promissora aplicação no desenvolvimento de processos baseados na tecnologia de hidratos.Universidade Federal do Rio Grande2021-11-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.furg.br/vetor/article/view/1316410.14295/vetor.v31i1.13164VETOR - Journal of Exact Sciences and Engineering; Vol. 31 No. 1 (2021); 23-42VETOR - Revista de Ciências Exatas e Engenharias; v. 31 n. 1 (2021); 23-422358-34520102-7352reponame:Vetor (Online)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGporhttps://periodicos.furg.br/vetor/article/view/13164/9106Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenhariasinfo:eu-repo/semantics/openAccess Ferreira Filho, Ivan Ramosda Silveira, Kelly CristineSilva Neto, Antônio J.2021-11-18T18:06:06Zoai:periodicos.furg.br:article/13164Revistahttps://periodicos.furg.br/vetorPUBhttps://periodicos.furg.br/vetor/oaigmplatt@furg.br2358-34520102-7352opendoar:2021-11-18T18:06:06Vetor (Online) - Universidade Federal do Rio Grande (FURG)false |
dc.title.none.fl_str_mv |
Gas Hydrate Technology: Computational Modeling for the Hydrate Growth Stage Tecnologia de Hidrato de Gás: Modelagem Computacional para a Etapa de Crescimento do Hidrato |
title |
Gas Hydrate Technology: Computational Modeling for the Hydrate Growth Stage |
spellingShingle |
Gas Hydrate Technology: Computational Modeling for the Hydrate Growth Stage Ferreira Filho, Ivan Ramos Gas-hydrates Computational-model Hydrate formation Hidratos-de-gás Modelo-computacional Formação de hidratos |
title_short |
Gas Hydrate Technology: Computational Modeling for the Hydrate Growth Stage |
title_full |
Gas Hydrate Technology: Computational Modeling for the Hydrate Growth Stage |
title_fullStr |
Gas Hydrate Technology: Computational Modeling for the Hydrate Growth Stage |
title_full_unstemmed |
Gas Hydrate Technology: Computational Modeling for the Hydrate Growth Stage |
title_sort |
Gas Hydrate Technology: Computational Modeling for the Hydrate Growth Stage |
author |
Ferreira Filho, Ivan Ramos |
author_facet |
Ferreira Filho, Ivan Ramos da Silveira, Kelly Cristine Silva Neto, Antônio J. |
author_role |
author |
author2 |
da Silveira, Kelly Cristine Silva Neto, Antônio J. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ferreira Filho, Ivan Ramos da Silveira, Kelly Cristine Silva Neto, Antônio J. |
dc.subject.por.fl_str_mv |
Gas-hydrates Computational-model Hydrate formation Hidratos-de-gás Modelo-computacional Formação de hidratos |
topic |
Gas-hydrates Computational-model Hydrate formation Hidratos-de-gás Modelo-computacional Formação de hidratos |
description |
Within sustainable chemistry, gas hydrates are gaining prominence due to their innovative applications in different scientific and industrial contexts. The ability to understand and control its properties is crucial to the full development of hydrate-based technologies. In this context, based on the mathematical model published by Vlasov for methane hydrate formation, the present study seeks to develop a computational code capable of simulating the formation rate of different gas hydrates, under any thermodynamic conditions, exhibiting the advantage of reducing the number of experiments needed to evaluate its formation behavior. To assess the feasibility of simulating the formation of other gas hydrate compositions, the code was used to simulate the cyclopentane hydrate formation. The idealized computational model successfully performed the numerical reproduction of the experimental curves for the methane hydrate, presenting the biggest error of 19.73%. The results presented in this work are consistent with published works, providing means of observation of the initial experimental conditions influence until the final stage of formation. Furthermore, the computational code has a global nature, which allows the simulation of different gas hydrate compositions, with promising application in the development of hydrate-based technologies. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-18 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.furg.br/vetor/article/view/13164 10.14295/vetor.v31i1.13164 |
url |
https://periodicos.furg.br/vetor/article/view/13164 |
identifier_str_mv |
10.14295/vetor.v31i1.13164 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.furg.br/vetor/article/view/13164/9106 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenharias info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenharias |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio Grande |
publisher.none.fl_str_mv |
Universidade Federal do Rio Grande |
dc.source.none.fl_str_mv |
VETOR - Journal of Exact Sciences and Engineering; Vol. 31 No. 1 (2021); 23-42 VETOR - Revista de Ciências Exatas e Engenharias; v. 31 n. 1 (2021); 23-42 2358-3452 0102-7352 reponame:Vetor (Online) instname:Universidade Federal do Rio Grande (FURG) instacron:FURG |
instname_str |
Universidade Federal do Rio Grande (FURG) |
instacron_str |
FURG |
institution |
FURG |
reponame_str |
Vetor (Online) |
collection |
Vetor (Online) |
repository.name.fl_str_mv |
Vetor (Online) - Universidade Federal do Rio Grande (FURG) |
repository.mail.fl_str_mv |
gmplatt@furg.br |
_version_ |
1797041761791508480 |