Dynamic analysis of harvesting and handling systems for biomass energy feedstocks

Detalhes bibliográficos
Autor(a) principal: Mantovani, Bárbara Heliodora Machado
Data de Publicação: 2014
Outros Autores: Peart, Robert M., Gibson, Harry
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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spelling 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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