ENERGY DENSITY MODEL FOR FOREST SPECIES FROM CERRADO
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Caatinga |
Texto Completo: | https://periodicos.ufersa.edu.br/caatinga/article/view/6645 |
Resumo: | Wood is the main source of energy in the energy matrix of underdeveloped countries, in addition to having a significant participation in developing countries, ranking fourth in Brazil. Thus, this study aimed to determine a model for determining the energy density of forest species from the Cerrado. Samples of trunks and branches were collected from 34 forest species in an area of 10.15 ha located in the Cerrado region aiming for immediate analysis, i.e. the contents of ashes (ASH), volatile matter (VM), fixed carbon (FC), and higher calorific value (HCV). Data from dry and saturated mass were obtained in order to determine the basic density. The species presented values of VM ranging from 77 to 85.5%, ASH from 0 to 1%, FC from 14 to 23%, and HCV ranging from 18,282 to 20,121 GJ ton−1. A significant relationship was found between VM and FC (R2 = 0.9927) whereas no significant values were found between HCV and basic density. The average value of energy density considering the 34 species was 12,459 Mcal m−3. The estimated energy density of the area was 1,378,541 Mcal ha−1. The proposed model for calculating the energy density as a function of basic density favors energy surveys of areas to be explored since there is no need for calorific value analysis. |
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ENERGY DENSITY MODEL FOR FOREST SPECIES FROM CERRADOMODELO PARA DETERMINAÇÃO DE DENSIDADE ENERGÉTICA DE ESPÉCIES FLORESTAIS DO CERRADOEnergia. Madeira. Savana.Energy. Wood. Savannah.Wood is the main source of energy in the energy matrix of underdeveloped countries, in addition to having a significant participation in developing countries, ranking fourth in Brazil. Thus, this study aimed to determine a model for determining the energy density of forest species from the Cerrado. Samples of trunks and branches were collected from 34 forest species in an area of 10.15 ha located in the Cerrado region aiming for immediate analysis, i.e. the contents of ashes (ASH), volatile matter (VM), fixed carbon (FC), and higher calorific value (HCV). Data from dry and saturated mass were obtained in order to determine the basic density. The species presented values of VM ranging from 77 to 85.5%, ASH from 0 to 1%, FC from 14 to 23%, and HCV ranging from 18,282 to 20,121 GJ ton−1. A significant relationship was found between VM and FC (R2 = 0.9927) whereas no significant values were found between HCV and basic density. The average value of energy density considering the 34 species was 12,459 Mcal m−3. The estimated energy density of the area was 1,378,541 Mcal ha−1. The proposed model for calculating the energy density as a function of basic density favors energy surveys of areas to be explored since there is no need for calorific value analysis.A madeira é a principal fonte de energia na matriz energética dos países subdesenvolvidos e nos países em desenvolvimento a participação é significativa, ocupando o quarto lugar no Brasil. Sendo assim, o objetivo desse trabalho foi determinar um modelo para determinação da densidade energética de espécies arbóreas do Cerrado. As amostras foram coletadas de árvores em uma área de cerrado de 10,15 hectares. Foram coletadas amostras de tronco e galhos de 34 espécies florestais para análise imediata (cinzas, material volátil, carbono fixo) e poder calorífico superior. Dados de massa seca e massa saturada foram obtidos para a determinação da densidade básica. As espécies apresentaram valores de teor de material volátil entre 77% e 85,5%, teor de cinzas entre 0 e 1% , teor de carbono fixo entre 14% e 23% . O poder calorífico superior ficou entre 18.282 GJ/ton e 20.121 GJ/ton. Quando testadas as relações entre as variáveis da análise imediata (MV, CZ e CF), e o poder calorífico superior (PCS), foi encontrada relação significativa entre MV e CF (R2 = 0.9927), enquanto o poder calorífico superior e a densidade básica das espécies não apresentaram relação significativa. O valor médio da densidade energética para as 34 espécies foi de 12.459 Mcal.m-3. A estimativa da densidade energética da área foi de 1.378.541 Mcal/ha. O modelo proposto para o cálculo de densidade energética em função da densidade básica facilita os levantamentos energéticos de áreas a serem exploradas, pois não há necessidade da análise de poder calorífico.Universidade Federal Rural do Semi-Árido2018-04-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/664510.1590/1983-21252018v31n216rcREVISTA CAATINGA; Vol. 31 No. 2 (2018); 396-404Revista Caatinga; v. 31 n. 2 (2018); 396-4041983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://periodicos.ufersa.edu.br/caatinga/article/view/6645/pdfCopyright (c) 2018 Revista Caatingainfo:eu-repo/semantics/openAccessSilva, Carlos José daVale, Ailton Teixeira do2023-07-20T12:50:50Zoai:ojs.periodicos.ufersa.edu.br:article/6645Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2024-04-29T09:46:29.921097Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)true |
dc.title.none.fl_str_mv |
ENERGY DENSITY MODEL FOR FOREST SPECIES FROM CERRADO MODELO PARA DETERMINAÇÃO DE DENSIDADE ENERGÉTICA DE ESPÉCIES FLORESTAIS DO CERRADO |
title |
ENERGY DENSITY MODEL FOR FOREST SPECIES FROM CERRADO |
spellingShingle |
ENERGY DENSITY MODEL FOR FOREST SPECIES FROM CERRADO Silva, Carlos José da Energia. Madeira. Savana. Energy. Wood. Savannah. |
title_short |
ENERGY DENSITY MODEL FOR FOREST SPECIES FROM CERRADO |
title_full |
ENERGY DENSITY MODEL FOR FOREST SPECIES FROM CERRADO |
title_fullStr |
ENERGY DENSITY MODEL FOR FOREST SPECIES FROM CERRADO |
title_full_unstemmed |
ENERGY DENSITY MODEL FOR FOREST SPECIES FROM CERRADO |
title_sort |
ENERGY DENSITY MODEL FOR FOREST SPECIES FROM CERRADO |
author |
Silva, Carlos José da |
author_facet |
Silva, Carlos José da Vale, Ailton Teixeira do |
author_role |
author |
author2 |
Vale, Ailton Teixeira do |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Silva, Carlos José da Vale, Ailton Teixeira do |
dc.subject.por.fl_str_mv |
Energia. Madeira. Savana. Energy. Wood. Savannah. |
topic |
Energia. Madeira. Savana. Energy. Wood. Savannah. |
description |
Wood is the main source of energy in the energy matrix of underdeveloped countries, in addition to having a significant participation in developing countries, ranking fourth in Brazil. Thus, this study aimed to determine a model for determining the energy density of forest species from the Cerrado. Samples of trunks and branches were collected from 34 forest species in an area of 10.15 ha located in the Cerrado region aiming for immediate analysis, i.e. the contents of ashes (ASH), volatile matter (VM), fixed carbon (FC), and higher calorific value (HCV). Data from dry and saturated mass were obtained in order to determine the basic density. The species presented values of VM ranging from 77 to 85.5%, ASH from 0 to 1%, FC from 14 to 23%, and HCV ranging from 18,282 to 20,121 GJ ton−1. A significant relationship was found between VM and FC (R2 = 0.9927) whereas no significant values were found between HCV and basic density. The average value of energy density considering the 34 species was 12,459 Mcal m−3. The estimated energy density of the area was 1,378,541 Mcal ha−1. The proposed model for calculating the energy density as a function of basic density favors energy surveys of areas to be explored since there is no need for calorific value analysis. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-04-06 |
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.ufersa.edu.br/caatinga/article/view/6645 10.1590/1983-21252018v31n216rc |
url |
https://periodicos.ufersa.edu.br/caatinga/article/view/6645 |
identifier_str_mv |
10.1590/1983-21252018v31n216rc |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufersa.edu.br/caatinga/article/view/6645/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Revista Caatinga info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Revista Caatinga |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal Rural do Semi-Árido |
publisher.none.fl_str_mv |
Universidade Federal Rural do Semi-Árido |
dc.source.none.fl_str_mv |
REVISTA CAATINGA; Vol. 31 No. 2 (2018); 396-404 Revista Caatinga; v. 31 n. 2 (2018); 396-404 1983-2125 0100-316X reponame:Revista Caatinga instname:Universidade Federal Rural do Semi-Árido (UFERSA) instacron:UFERSA |
instname_str |
Universidade Federal Rural do Semi-Árido (UFERSA) |
instacron_str |
UFERSA |
institution |
UFERSA |
reponame_str |
Revista Caatinga |
collection |
Revista Caatinga |
repository.name.fl_str_mv |
Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA) |
repository.mail.fl_str_mv |
patricio@ufersa.edu.br|| caatinga@ufersa.edu.br |
_version_ |
1797674026644013056 |