Quick-scan estimating model of higher heating value of oil palm empty fruit bunches based on ash from proximate analysis data

A correlation model for a quick-scan estimation of the Higher Heating Value (HHV) of Oil Palm Empty Fruit Bunches (EFB) base on proximate analysis is presented in this paper. The proximate analysis variables Fixed Carbon (FC), Ash Content (Ash), Volatile Matter (VM), Residual Moisture were analyzed...

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Autores:
Villegas, Jorge
Avila, Humberto
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/48968
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/48968
http://bdigital.unal.edu.co/42425/
Palabra clave:
Bioengineering
Chemical Engineering
Environmental Engineering
Oil Palm Empty Fruit Bunch (EFB)
Higher Heating Value
Proximate analysis
Lignocellulosic Biomass
Biofuel energy
Oil Palm Empty Fruit Bunch (EFB)
Higher Heating Value
Proximate analysis
Lignocellulosic Biomass
Biofuel energy
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_dfaf1064a8b7fdf55efac92d929c570a
oai_identifier_str oai:repositorio.unal.edu.co:unal/48968
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Quick-scan estimating model of higher heating value of oil palm empty fruit bunches based on ash from proximate analysis data
title Quick-scan estimating model of higher heating value of oil palm empty fruit bunches based on ash from proximate analysis data
spellingShingle Quick-scan estimating model of higher heating value of oil palm empty fruit bunches based on ash from proximate analysis data
Bioengineering
Chemical Engineering
Environmental Engineering
Oil Palm Empty Fruit Bunch (EFB)
Higher Heating Value
Proximate analysis
Lignocellulosic Biomass
Biofuel energy
Oil Palm Empty Fruit Bunch (EFB)
Higher Heating Value
Proximate analysis
Lignocellulosic Biomass
Biofuel energy
title_short Quick-scan estimating model of higher heating value of oil palm empty fruit bunches based on ash from proximate analysis data
title_full Quick-scan estimating model of higher heating value of oil palm empty fruit bunches based on ash from proximate analysis data
title_fullStr Quick-scan estimating model of higher heating value of oil palm empty fruit bunches based on ash from proximate analysis data
title_full_unstemmed Quick-scan estimating model of higher heating value of oil palm empty fruit bunches based on ash from proximate analysis data
title_sort Quick-scan estimating model of higher heating value of oil palm empty fruit bunches based on ash from proximate analysis data
dc.creator.fl_str_mv Villegas, Jorge
Avila, Humberto
dc.contributor.author.spa.fl_str_mv Villegas, Jorge
Avila, Humberto
dc.subject.proposal.spa.fl_str_mv Bioengineering
Chemical Engineering
Environmental Engineering
Oil Palm Empty Fruit Bunch (EFB)
Higher Heating Value
Proximate analysis
Lignocellulosic Biomass
Biofuel energy
Oil Palm Empty Fruit Bunch (EFB)
Higher Heating Value
Proximate analysis
Lignocellulosic Biomass
Biofuel energy
topic Bioengineering
Chemical Engineering
Environmental Engineering
Oil Palm Empty Fruit Bunch (EFB)
Higher Heating Value
Proximate analysis
Lignocellulosic Biomass
Biofuel energy
Oil Palm Empty Fruit Bunch (EFB)
Higher Heating Value
Proximate analysis
Lignocellulosic Biomass
Biofuel energy
description A correlation model for a quick-scan estimation of the Higher Heating Value (HHV) of Oil Palm Empty Fruit Bunches (EFB) base on proximate analysis is presented in this paper. The proximate analysis variables Fixed Carbon (FC), Ash Content (Ash), Volatile Matter (VM), Residual Moisture were analyzed statistically to obtain a model to estimate HHV which can be used as a support for evaluating the energetic disponibility of the EFB,  with Ash content as the input variable.  The samples were taken directly from the end of the processing line (the process exit after the fruit removal section) in facilities of agro-industrial companies located in the Colombian coast. The average HHV obtained was 16.18 MJ/kg, and the minimum and maximum value of HHV was 13.6 MJ/kg and 19.51 MJ/kg, respectively.
publishDate 2014
dc.date.issued.spa.fl_str_mv 2014-07-30
dc.date.accessioned.spa.fl_str_mv 2019-06-29T08:16:11Z
dc.date.available.spa.fl_str_mv 2019-06-29T08:16:11Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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url https://repositorio.unal.edu.co/handle/unal/48968
http://bdigital.unal.edu.co/42425/
dc.language.iso.spa.fl_str_mv spa
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dc.relation.spa.fl_str_mv http://revistas.unal.edu.co/index.php/ingeinv/article/view/40504
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación
Ingeniería e Investigación
dc.relation.ispartofseries.none.fl_str_mv Ingeniería e Investigación; Vol. 34, núm. 2 (2014); 33-38 Ingeniería e Investigación; Vol. 34, núm. 2 (2014); 33-38 2248-8723 0120-5609
dc.relation.references.spa.fl_str_mv Villegas, Jorge and Avila, Humberto (2014) Quick-scan estimating model of higher heating value of oil palm empty fruit bunches based on ash from proximate analysis data. Ingeniería e Investigación; Vol. 34, núm. 2 (2014); 33-38 Ingeniería e Investigación; Vol. 34, núm. 2 (2014); 33-38 2248-8723 0120-5609 .
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
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dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
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eu_rights_str_mv openAccess
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dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Facultad de Ingeniería
institution Universidad Nacional de Colombia
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