Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.fuel.2020.119068 http://hdl.handle.net/11449/206989 |
Resumo: | This work consists of developing a predictive model (PM) for syngas composition obtained from biomass gasification in fixed bed gasifiers. The PM is composed of three correlations which are made for carbon conversion efficiency, gasification temperature and the correction factor for the equilibrium constant of the water-gas homogeneous reaction. Such correlations were established using results obtained from the application of an optimization method (AOM) that uses Kuhn–Tucker multipliers. Syngas compositions determined through AOM were compared with experimental compositions and those estimated by other models, resulting that the AOM always determines the best estimates with respect to the root mean square error (RMSE). For syngas compositions estimated by AOM, the RMSE interval is [0.21, 4.11]. The PM was validated with six experimental compositions. From the predicted syngas compositions it was found that the ranges for LHV, cold gas efficiency, carbon conversion efficiency and gasification temperature were [4.594, 5.116 MJ/Nm3], [55.74, 68.18%], [74.20, 88.40%] and [749, 918 °C], respectively. Additionally, for the predicted syngas compositions the RMSE interval was determined as [0.68, 2.25]. Therefore, the PM was considered to be effective in estimating syngas compositions. |
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Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliersBiomassChemical equilibrium modelFixed bedGasificationSyngasThis work consists of developing a predictive model (PM) for syngas composition obtained from biomass gasification in fixed bed gasifiers. The PM is composed of three correlations which are made for carbon conversion efficiency, gasification temperature and the correction factor for the equilibrium constant of the water-gas homogeneous reaction. Such correlations were established using results obtained from the application of an optimization method (AOM) that uses Kuhn–Tucker multipliers. Syngas compositions determined through AOM were compared with experimental compositions and those estimated by other models, resulting that the AOM always determines the best estimates with respect to the root mean square error (RMSE). For syngas compositions estimated by AOM, the RMSE interval is [0.21, 4.11]. The PM was validated with six experimental compositions. From the predicted syngas compositions it was found that the ranges for LHV, cold gas efficiency, carbon conversion efficiency and gasification temperature were [4.594, 5.116 MJ/Nm3], [55.74, 68.18%], [74.20, 88.40%] and [749, 918 °C], respectively. Additionally, for the predicted syngas compositions the RMSE interval was determined as [0.68, 2.25]. Therefore, the PM was considered to be effective in estimating syngas compositions.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)São Paulo State University (UNESP) Engineering School Chemistry and Energy Department, Campus of GuaratinguetáFederal University of Rio Grande do Sul (UFRGS) Department of Mechanical EngineeringTechnological Institute of Aeronautics (ITA) Combustion Propulsion and Energy LaboratorySão Paulo State University (UNESP) Engineering School Chemistry and Energy Department, Campus of GuaratinguetáUniversidade Estadual Paulista (Unesp)Federal University of Rio Grande do Sul (UFRGS)Propulsion and Energy LaboratoryAmaro, Jordan [UNESP]Rosado, Diego Jhovanny Mariños [UNESP]Mendiburu, Andrés Z.dos Santos, Leila Ribeirode Carvalho., João A. [UNESP]2021-06-25T10:47:14Z2021-06-25T10:47:14Z2021-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.fuel.2020.119068Fuel, v. 287.0016-2361http://hdl.handle.net/11449/20698910.1016/j.fuel.2020.1190682-s2.0-85097767649Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFuelinfo:eu-repo/semantics/openAccess2021-10-23T15:55:12Zoai:repositorio.unesp.br:11449/206989Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T15:55:12Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers |
title |
Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers |
spellingShingle |
Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers Amaro, Jordan [UNESP] Biomass Chemical equilibrium model Fixed bed Gasification Syngas |
title_short |
Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers |
title_full |
Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers |
title_fullStr |
Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers |
title_full_unstemmed |
Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers |
title_sort |
Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers |
author |
Amaro, Jordan [UNESP] |
author_facet |
Amaro, Jordan [UNESP] Rosado, Diego Jhovanny Mariños [UNESP] Mendiburu, Andrés Z. dos Santos, Leila Ribeiro de Carvalho., João A. [UNESP] |
author_role |
author |
author2 |
Rosado, Diego Jhovanny Mariños [UNESP] Mendiburu, Andrés Z. dos Santos, Leila Ribeiro de Carvalho., João A. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Federal University of Rio Grande do Sul (UFRGS) Propulsion and Energy Laboratory |
dc.contributor.author.fl_str_mv |
Amaro, Jordan [UNESP] Rosado, Diego Jhovanny Mariños [UNESP] Mendiburu, Andrés Z. dos Santos, Leila Ribeiro de Carvalho., João A. [UNESP] |
dc.subject.por.fl_str_mv |
Biomass Chemical equilibrium model Fixed bed Gasification Syngas |
topic |
Biomass Chemical equilibrium model Fixed bed Gasification Syngas |
description |
This work consists of developing a predictive model (PM) for syngas composition obtained from biomass gasification in fixed bed gasifiers. The PM is composed of three correlations which are made for carbon conversion efficiency, gasification temperature and the correction factor for the equilibrium constant of the water-gas homogeneous reaction. Such correlations were established using results obtained from the application of an optimization method (AOM) that uses Kuhn–Tucker multipliers. Syngas compositions determined through AOM were compared with experimental compositions and those estimated by other models, resulting that the AOM always determines the best estimates with respect to the root mean square error (RMSE). For syngas compositions estimated by AOM, the RMSE interval is [0.21, 4.11]. The PM was validated with six experimental compositions. From the predicted syngas compositions it was found that the ranges for LHV, cold gas efficiency, carbon conversion efficiency and gasification temperature were [4.594, 5.116 MJ/Nm3], [55.74, 68.18%], [74.20, 88.40%] and [749, 918 °C], respectively. Additionally, for the predicted syngas compositions the RMSE interval was determined as [0.68, 2.25]. Therefore, the PM was considered to be effective in estimating syngas compositions. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:47:14Z 2021-06-25T10:47:14Z 2021-03-01 |
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/10.1016/j.fuel.2020.119068 Fuel, v. 287. 0016-2361 http://hdl.handle.net/11449/206989 10.1016/j.fuel.2020.119068 2-s2.0-85097767649 |
url |
http://dx.doi.org/10.1016/j.fuel.2020.119068 http://hdl.handle.net/11449/206989 |
identifier_str_mv |
Fuel, v. 287. 0016-2361 10.1016/j.fuel.2020.119068 2-s2.0-85097767649 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Fuel |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1803046239882706944 |