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1.
Methods Mol Biol ; 581: 27-40, 2009.
Artigo em Inglês | MEDLINE | ID: mdl-19768613

RESUMO

Switchgrass is being widely considered as a feedstock for biofuel production. Much remains to be learned about ideal feedstock characteristics, but switchgrass offers many advantages already and can perhaps be manipulated to offer more. When planning to grow switchgrass, select a cultivar that is well adapted to the location - generally a lowland cultivar for the southern United States and an upland cultivar at higher latitudes. Plant non-dormant seed after soils are well warmed, preferably with no-till methods and always with good weed control. Except for weeds, few pests appear to be widespread; but disease and insect pests could become more important as acreages increase. Fertilization requirements are relatively low, with 50 kg N/ha/year being a good "generic" recommendation where a single harvest is taken after plants have senesced; more will be needed if biomass is harvested while still green. Switchgrass should be harvested no more than twice per year and may generally be expected to produce 12 to >or=20 mg/ha/year across its usual range of distribution. A single harvest may provide for maximum sustainable yields - especially if the harvest is taken after tops die back at the end of the season. Several harvesting technologies are available, but the preferred technology may depend on logistics and economics associated with the local processing point, or biorefinery.


Assuntos
Biocombustíveis , Conservação de Recursos Energéticos/métodos , Panicum , Agricultura/métodos , Agricultura/organização & administração , Biocombustíveis/microbiologia , Biocombustíveis/parasitologia , Biocombustíveis/provisão & distribuição , Fertilização/fisiologia , Nitrogênio/metabolismo , Panicum/crescimento & desenvolvimento , Panicum/microbiologia , Panicum/parasitologia , Panicum/provisão & distribuição , Controle de Pragas/métodos , Controle de Pragas/organização & administração , Gerenciamento de Resíduos/métodos
2.
Bioresour Technol ; 98(5): 1033-44, 2007 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-16797978

RESUMO

This study develops cost, energy input and carbon emissions for a number of switchgrass supply options. The Integrated Biomass Supply Analysis and Logistics (IBSAL) model developed at Oak Ridge National Laboratory is used to evaluate the delivery systems. Three biomass collection systems: baling, loafing and ensiling are evaluated. The number and operational performance of equipment are specified to complete collection operations within 120 days of harvest after August 1. Bales are stacked and tarped on the farm side. The transport of biomass from the farm side to a biorefinery takes place over a full year cycle, i.e. 365 days. Supply quantities range from 454 to 4540 dry tonnes/day (500-5000 dry tons/day). Delivered costs to a biorefinery with capacity of 1814 dry tonnes/day (2000 dry tons/day) are: 44-47 dollars/dry tonne for delivered bales (round and square); 37 dollars/dry tonne for delivered loafs (size 2.4 m x 3.6 m x 6 m); 40 dollars/dry tonne for chopped biomass; and 48 dollars/dry tonne for ensiled chops. These costs do not include any payment to the farmers or switchgrass farming cost. Based on the data from literature, the switchgrass farming cost can range from 30 to 36 dollars/dry tonne. These costs would be additional to the switchgrass collection and transportation cost. Switchgrass collection is generally less expensive than collection of straw or corn stover because of the assumed high yield of 11 dry tonnes/ha and a denser biomass. Energy consumption for delivery systems at this capacity ranges from 4.8% to 6.3% of the energy content of switchgrass. Additional 1% of the energy content of switchgrass is consumed in its farming. At 1814 dry tonnes/day (2000 dry tons/day) capacity, greenhouse gas emissions ranges from 75 to 100 kg of CO2/dry tonne of switchgrass delivered.


Assuntos
Biomassa , Fontes Geradoras de Energia/economia , Modelos Logísticos , Panicum/economia , Panicum/provisão & distribuição , Meios de Transporte/economia , Poluição do Ar/análise , Simulação por Computador , Análise Custo-Benefício/métodos , Fontes Geradoras de Energia/estatística & dados numéricos
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