Dynamic analysis of harvesting and handling systems for biomass energy feedstocks
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/16220 |
Resumo: | A SLAM II combination network discrete event model was developed to simulate harvest and transport of corn residue, hay and wood chips for continuous delivery to a biomass conversion plant. The model used ten years of climatological and production data of the state of Indiana, USA, in order to quantify the effect of weather on the system, analysed in many situations. Weather played an important role on system performance, especially on collection and transportation of corn residue and hay. There were situations when it was better not to buy forestry equipment, but to rent it, in order to decrease production costs. Corn residue yields averaged 3.3 t/ha and hay yields averaged 1.9 t/ha. Wood chips produced 86 t/ha for clear cut, 53 t/ha for thinning and 40 t/ha for plantations (100, 20 and 5 years rotation age respectively). On an average weather year it cost up to 71% more to collect and transport corn residue bales than wood chips from clear cut. Stacks and bales cost about the same to produce, but it cost 55% more to transport bales. Production and transportation costs were about twice as much for clear cut compared to plantation. |
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Dynamic analysis of harvesting and handling systems for biomass energy feedstocksAnalise dinâmica de sistemas de colheita e manuseio de biomassa para utilização como fonte de energiasimulation; energy; corn residue; wood chips; ethanol productionsimulação; modelos matemáticos; palhada de milho; cavacos de madeira; produção de etanolA SLAM II combination network discrete event model was developed to simulate harvest and transport of corn residue, hay and wood chips for continuous delivery to a biomass conversion plant. The model used ten years of climatological and production data of the state of Indiana, USA, in order to quantify the effect of weather on the system, analysed in many situations. Weather played an important role on system performance, especially on collection and transportation of corn residue and hay. There were situations when it was better not to buy forestry equipment, but to rent it, in order to decrease production costs. Corn residue yields averaged 3.3 t/ha and hay yields averaged 1.9 t/ha. Wood chips produced 86 t/ha for clear cut, 53 t/ha for thinning and 40 t/ha for plantations (100, 20 and 5 years rotation age respectively). On an average weather year it cost up to 71% more to collect and transport corn residue bales than wood chips from clear cut. Stacks and bales cost about the same to produce, but it cost 55% more to transport bales. Production and transportation costs were about twice as much for clear cut compared to plantation.Desenvolveu-se um modelo matemático, em SLAM II, para simular colheita e transporte de palhada de milho, feno e cavacos de madeira para abastecer continuamente uma unidade de processamento de biomassa. Usaram-se dez anos de dados climatológicos e de produção do estado de Indiana, EUA, para quantificar o efeito do clima no desempenho do sistema, que foi analisado em diferentes situações. O clima mostrou ser variável importante, especialmente na colheita de palhada de milho e feno. Houve casos em que foi preferível alugar equipamento do que comprar, para diminuir custos de produção. Foram produzidas, em média, 3,3 t/ha e 1,9 t/ha de palhada de milho e feno, respectivamente. Cavacos de madeira vindos de corte de florestas naturais totalizaram 86 t/ha, de desbaste, 53 t/ha, e de plantações, 40 t/ha (100, 20 e 5 anos de rotação respectivamente). Em ano de condições climatológicas médias, colheita e transporte de palhada de milho (fardos cilíndricos) custaram 71% mais caro que de cavacos de madeira (corte de florestas naturais). Fardos retangulares e cilíndricos equivaleram-se em custos de produção, mas transportar os cilíndricos custou 55% a mais. Custos para produzir e transportar cavacos mostraram-se cerca de duas vezes maiores em florestas naturais, quando comparados com corte de plantações de árvores.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraMantovani, Bárbara Heliodora MachadoPeart, Robert M.Gibson, Harry2014-04-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/16220Pesquisa Agropecuaria Brasileira; v.20, n.9, set. 1985; 1085-1099Pesquisa Agropecuária Brasileira; v.20, n.9, set. 1985; 1085-10991678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/16220/10407info:eu-repo/semantics/openAccess2014-04-17T11:59:46Zoai:ojs.seer.sct.embrapa.br:article/16220Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-04-17T11:59:46Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Dynamic analysis of harvesting and handling systems for biomass energy feedstocks Analise dinâmica de sistemas de colheita e manuseio de biomassa para utilização como fonte de energia |
title |
Dynamic analysis of harvesting and handling systems for biomass energy feedstocks |
spellingShingle |
Dynamic analysis of harvesting and handling systems for biomass energy feedstocks Mantovani, Bárbara Heliodora Machado simulation; energy; corn residue; wood chips; ethanol production simulação; modelos matemáticos; palhada de milho; cavacos de madeira; produção de etanol |
title_short |
Dynamic analysis of harvesting and handling systems for biomass energy feedstocks |
title_full |
Dynamic analysis of harvesting and handling systems for biomass energy feedstocks |
title_fullStr |
Dynamic analysis of harvesting and handling systems for biomass energy feedstocks |
title_full_unstemmed |
Dynamic analysis of harvesting and handling systems for biomass energy feedstocks |
title_sort |
Dynamic analysis of harvesting and handling systems for biomass energy feedstocks |
author |
Mantovani, Bárbara Heliodora Machado |
author_facet |
Mantovani, Bárbara Heliodora Machado Peart, Robert M. Gibson, Harry |
author_role |
author |
author2 |
Peart, Robert M. Gibson, Harry |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Mantovani, Bárbara Heliodora Machado Peart, Robert M. Gibson, Harry |
dc.subject.por.fl_str_mv |
simulation; energy; corn residue; wood chips; ethanol production simulação; modelos matemáticos; palhada de milho; cavacos de madeira; produção de etanol |
topic |
simulation; energy; corn residue; wood chips; ethanol production simulação; modelos matemáticos; palhada de milho; cavacos de madeira; produção de etanol |
description |
A SLAM II combination network discrete event model was developed to simulate harvest and transport of corn residue, hay and wood chips for continuous delivery to a biomass conversion plant. The model used ten years of climatological and production data of the state of Indiana, USA, in order to quantify the effect of weather on the system, analysed in many situations. Weather played an important role on system performance, especially on collection and transportation of corn residue and hay. There were situations when it was better not to buy forestry equipment, but to rent it, in order to decrease production costs. Corn residue yields averaged 3.3 t/ha and hay yields averaged 1.9 t/ha. Wood chips produced 86 t/ha for clear cut, 53 t/ha for thinning and 40 t/ha for plantations (100, 20 and 5 years rotation age respectively). On an average weather year it cost up to 71% more to collect and transport corn residue bales than wood chips from clear cut. Stacks and bales cost about the same to produce, but it cost 55% more to transport bales. Production and transportation costs were about twice as much for clear cut compared to plantation. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-04-17 |
dc.type.none.fl_str_mv |
|
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://seer.sct.embrapa.br/index.php/pab/article/view/16220 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/16220 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/16220/10407 |
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 |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.20, n.9, set. 1985; 1085-1099 Pesquisa Agropecuária Brasileira; v.20, n.9, set. 1985; 1085-1099 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416659911835648 |