Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression

Detalhes bibliográficos
Autor(a) principal: Dinis, Maria Alzira Pimenta
Data de Publicação: 2015
Outros Autores: Rodrigues, Cristina, Lemos de Sousa, M. J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10284/7901
Resumo: http://sherpa.ac.uk/romeo/search.php?issn=0144-5987
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spelling Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear RegressionSorption isothermsModified Weibull modelLinear regression modelConfidence bandsPrediction intervalshttp://sherpa.ac.uk/romeo/search.php?issn=0144-5987Relying on an adequate mathematical approach, two different mathematical procedures can be applied to the huge database produced during gas sorption isotherm experiments in order to obtain accurate data to be used in the industrial practice. To treat data determined from gas sorption isotherms without a careful mathematical support will produce inaccurate results, because all the determinations will be dependent on human decision. The minimum error reported since the first stage of a sorption isotherm determination, which corresponds to volume calibrations of reference and sample cells performed through the use of helium, will produce enormous inaccuracies on sorption isotherm behavior. These inaccurate behaviors may sometimes invalidate any Coalbed Methane recovery and CO2 injection programs. The study consisted on investigating gas sorption isotherm accuracies determined during the first part of the sorption process, which is mainly conducted by monitoring the pressure decline with time, in the reference and the sample cells (when both cells are not in contact), until the stabilization stage is achieved. Three samples from two different coals were selected in order to study their gas sorption behavior, in terms of a clear mathematical approach, when submitted to three different gas compositions, viz. 99.999% methane (CH4); 99.999% carbon dioxide (CO2); and a gas mixture containing 74.99% CH4 + 19.99% CO2 + 5.02% nitrogen (N2). Sorption experiments allow to conclude that the three samples present the same mathematical response during the first part of the sorption process. However, all gas sorption data (adsorption and desorption) collected from reference cell have a better fitting to a Modified Weibull Model, and all gas sorption data (adsorption and desorption) collected from sample cell respond in a trustworthy way to a Linear Regression Model. Confidence bands and prediction intervals (or bands) were also computed.SAGE PublishingRepositório Institucional da Universidade Fernando PessoaDinis, Maria Alzira PimentaRodrigues, CristinaLemos de Sousa, M. J.2019-09-16T08:35:47Z2015-01-01T00:00:00Z2015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10284/7901engAPA: Dinis, M. A. P., Rodrigues, C. F., & Lemos de Sousa, M. J. (2015). Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression. Energy Exploration & Exploitation, 33(4), 515-532. doi:10.1260/0144-5987.33.4.5152048-405410.1260/0144-5987.33.4.515info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-06T02:07:17Zoai:bdigital.ufp.pt:10284/7901Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:44:49.386038Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression
title Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression
spellingShingle Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression
Dinis, Maria Alzira Pimenta
Sorption isotherms
Modified Weibull model
Linear regression model
Confidence bands
Prediction intervals
title_short Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression
title_full Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression
title_fullStr Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression
title_full_unstemmed Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression
title_sort Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression
author Dinis, Maria Alzira Pimenta
author_facet Dinis, Maria Alzira Pimenta
Rodrigues, Cristina
Lemos de Sousa, M. J.
author_role author
author2 Rodrigues, Cristina
Lemos de Sousa, M. J.
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Institucional da Universidade Fernando Pessoa
dc.contributor.author.fl_str_mv Dinis, Maria Alzira Pimenta
Rodrigues, Cristina
Lemos de Sousa, M. J.
dc.subject.por.fl_str_mv Sorption isotherms
Modified Weibull model
Linear regression model
Confidence bands
Prediction intervals
topic Sorption isotherms
Modified Weibull model
Linear regression model
Confidence bands
Prediction intervals
description http://sherpa.ac.uk/romeo/search.php?issn=0144-5987
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01T00:00:00Z
2015-01-01T00:00:00Z
2019-09-16T08:35:47Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10284/7901
url http://hdl.handle.net/10284/7901
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv APA: Dinis, M. A. P., Rodrigues, C. F., & Lemos de Sousa, M. J. (2015). Increasing Sorption Isotherms Accuracy: Weibull Modelling and Linear Regression. Energy Exploration & Exploitation, 33(4), 515-532. doi:10.1260/0144-5987.33.4.515
2048-4054
10.1260/0144-5987.33.4.515
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SAGE Publishing
publisher.none.fl_str_mv SAGE Publishing
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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