New approach for proximate analysis by thermogravimetry using CO2 atmosphere: Validation and application to different biomasses
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s10973-016-5882-z http://hdl.handle.net/11449/173701 |
Resumo: | This study investigates the most appropriate conditions to perform the proximate analysis (moisture, volatile matter, fixed carbon, and ash) of biomasses by thermogravimetry, focusing on providing better distinction for quantification of volatile and fixed carbon components. It was found, using a series of thermogravimetric methodologies, that heating rate and particle size are important factors to be taken into account, whereas temperature and carrier gas (type and flow rate) are critical to enable the proper quantification of volatiles and fixed carbon. In this case, the best condition was achieved by applying 600 °C and CO2 as carrier gas (instead of N2). It is the highlight of the proposal method regarding the conditions often applied for this purpose. Furthermore, this method has proved to be advantageous in three important aspects: A single measurement is enough for quantification of all properties, it can be performed in a short time (1 h 27 min) in comparison with methods performed in a muffle furnace, and it can be applied for different kinds of biomasses, from lignocellulosic to residues. The procedure of validation demonstrated the low uncertainty of the data obtained by this method and the low propagation of uncertainty when they were applied for the prediction of the high heating value of the related biomasses, which supports its applicability as an alternative to biomass characterization. |
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New approach for proximate analysis by thermogravimetry using CO2 atmosphere: Validation and application to different biomassesBiomass characterizationHHV predictionMethod validationProximate analysisThermogravimetric methodologyThis study investigates the most appropriate conditions to perform the proximate analysis (moisture, volatile matter, fixed carbon, and ash) of biomasses by thermogravimetry, focusing on providing better distinction for quantification of volatile and fixed carbon components. It was found, using a series of thermogravimetric methodologies, that heating rate and particle size are important factors to be taken into account, whereas temperature and carrier gas (type and flow rate) are critical to enable the proper quantification of volatiles and fixed carbon. In this case, the best condition was achieved by applying 600 °C and CO2 as carrier gas (instead of N2). It is the highlight of the proposal method regarding the conditions often applied for this purpose. Furthermore, this method has proved to be advantageous in three important aspects: A single measurement is enough for quantification of all properties, it can be performed in a short time (1 h 27 min) in comparison with methods performed in a muffle furnace, and it can be applied for different kinds of biomasses, from lignocellulosic to residues. The procedure of validation demonstrated the low uncertainty of the data obtained by this method and the low propagation of uncertainty when they were applied for the prediction of the high heating value of the related biomasses, which supports its applicability as an alternative to biomass characterization.Department of Analytical Chemistry Institute of Chemistry UNESP - São Paulo State UniversityDepartment of Mechanical Engineering School of Engineering of São Carlos USP - University of São PauloDepartment of Analytical Chemistry Institute of Chemistry UNESP - São Paulo State UniversityUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Torquato, Lilian D. M. [UNESP]Crnkovic, Paula M.Ribeiro, Clóvis A. [UNESP]Crespi, Marisa S. [UNESP]2018-12-11T17:07:21Z2018-12-11T17:07:21Z2017-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1007/s10973-016-5882-zJournal of Thermal Analysis and Calorimetry, v. 128, n. 1, 2017.1588-29261388-6150http://hdl.handle.net/11449/17370110.1007/s10973-016-5882-z2-s2.0-849927258852-s2.0-84992725885.pdf84983108918100820000-0002-7984-5908Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Thermal Analysis and Calorimetry0,5870,587info:eu-repo/semantics/openAccess2023-11-10T06:15:24Zoai:repositorio.unesp.br:11449/173701Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:20:53.465170Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
New approach for proximate analysis by thermogravimetry using CO2 atmosphere: Validation and application to different biomasses |
title |
New approach for proximate analysis by thermogravimetry using CO2 atmosphere: Validation and application to different biomasses |
spellingShingle |
New approach for proximate analysis by thermogravimetry using CO2 atmosphere: Validation and application to different biomasses Torquato, Lilian D. M. [UNESP] Biomass characterization HHV prediction Method validation Proximate analysis Thermogravimetric methodology |
title_short |
New approach for proximate analysis by thermogravimetry using CO2 atmosphere: Validation and application to different biomasses |
title_full |
New approach for proximate analysis by thermogravimetry using CO2 atmosphere: Validation and application to different biomasses |
title_fullStr |
New approach for proximate analysis by thermogravimetry using CO2 atmosphere: Validation and application to different biomasses |
title_full_unstemmed |
New approach for proximate analysis by thermogravimetry using CO2 atmosphere: Validation and application to different biomasses |
title_sort |
New approach for proximate analysis by thermogravimetry using CO2 atmosphere: Validation and application to different biomasses |
author |
Torquato, Lilian D. M. [UNESP] |
author_facet |
Torquato, Lilian D. M. [UNESP] Crnkovic, Paula M. Ribeiro, Clóvis A. [UNESP] Crespi, Marisa S. [UNESP] |
author_role |
author |
author2 |
Crnkovic, Paula M. Ribeiro, Clóvis A. [UNESP] Crespi, Marisa S. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Torquato, Lilian D. M. [UNESP] Crnkovic, Paula M. Ribeiro, Clóvis A. [UNESP] Crespi, Marisa S. [UNESP] |
dc.subject.por.fl_str_mv |
Biomass characterization HHV prediction Method validation Proximate analysis Thermogravimetric methodology |
topic |
Biomass characterization HHV prediction Method validation Proximate analysis Thermogravimetric methodology |
description |
This study investigates the most appropriate conditions to perform the proximate analysis (moisture, volatile matter, fixed carbon, and ash) of biomasses by thermogravimetry, focusing on providing better distinction for quantification of volatile and fixed carbon components. It was found, using a series of thermogravimetric methodologies, that heating rate and particle size are important factors to be taken into account, whereas temperature and carrier gas (type and flow rate) are critical to enable the proper quantification of volatiles and fixed carbon. In this case, the best condition was achieved by applying 600 °C and CO2 as carrier gas (instead of N2). It is the highlight of the proposal method regarding the conditions often applied for this purpose. Furthermore, this method has proved to be advantageous in three important aspects: A single measurement is enough for quantification of all properties, it can be performed in a short time (1 h 27 min) in comparison with methods performed in a muffle furnace, and it can be applied for different kinds of biomasses, from lignocellulosic to residues. The procedure of validation demonstrated the low uncertainty of the data obtained by this method and the low propagation of uncertainty when they were applied for the prediction of the high heating value of the related biomasses, which supports its applicability as an alternative to biomass characterization. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-04-01 2018-12-11T17:07:21Z 2018-12-11T17:07:21Z |
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://dx.doi.org/10.1007/s10973-016-5882-z Journal of Thermal Analysis and Calorimetry, v. 128, n. 1, 2017. 1588-2926 1388-6150 http://hdl.handle.net/11449/173701 10.1007/s10973-016-5882-z 2-s2.0-84992725885 2-s2.0-84992725885.pdf 8498310891810082 0000-0002-7984-5908 |
url |
http://dx.doi.org/10.1007/s10973-016-5882-z http://hdl.handle.net/11449/173701 |
identifier_str_mv |
Journal of Thermal Analysis and Calorimetry, v. 128, n. 1, 2017. 1588-2926 1388-6150 10.1007/s10973-016-5882-z 2-s2.0-84992725885 2-s2.0-84992725885.pdf 8498310891810082 0000-0002-7984-5908 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Thermal Analysis and Calorimetry 0,587 0,587 |
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.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128795478065152 |