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Choice of optimum feedstock portfolio for a cellulosic ethanol plant – A dynamic linear programming solution AgEcon
Kumarappan, Subbu; Ivanic, Rasto.
When the lignocellulosic biofuels industry reaches maturity and many types of biomass sources become economically viable, management of multiple feedstock supplies – that vary in their yields, density (tons per unit area), harvest window, storage and seasonal costs, storage losses, transport distance to the production plant – will become increasingly important for the success of individual enterprises. The manager’s feedstock procurement problem is modeled as a multi-period sequence problem to account for dynamic management over time. The case is illustrated with a hypothetical 53 million annual US gallon cellulosic ethanol plant located in south west Kansas that requires approximately 700,000 metric dry tons of biomass. The problem is framed over 40...
Tipo: Conference Paper or Presentation Palavras-chave: Cellulosic ethanol; Feedstock; Switchgrass; Miscanthus; Corn stover; Optimization; Biofuels; Biomass; Energy; Renewable; Agribusiness.
Ano: 2009 URL: http://purl.umn.edu/49407
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Biomass Supply for Biofuel Production: Estimates for the United States and Canada AgEcon
Kumarappan, Subbu; Joshi, Satish V.; MacLean, Heather.
Published in BioResources, Volume 4, Number 3, 2009, Pages 1070-1087.
Tipo: Journal Article Palavras-chave: Biomass Supply; Resource Assessment; Lignocellulosic Biomass; Crop Production/Industries; Demand and Price Analysis; Production Economics; Resource /Energy Economics and Policy; Q42; Q11; Q2; Q20; Q29.
Ano: 2009 URL: http://purl.umn.edu/51427
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Spatial Pricing Patterns of Cellulosic Biomass under Oligopsony – A Multi-agent Simulation Model AgEcon
Kumarappan, Subbu.
Tipo: Conference Paper or Presentation Palavras-chave: Agribusiness; Industrial Organization; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy.
Ano: 2011 URL: http://purl.umn.edu/103623
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Testing for Speculative Behavior in US Corn Ethanol Investments AgEcon
Kumarappan, Subbu; Gustafson, Cole R..
Crude oil price speculation during 2000s could have increased installed capacity in corn ethanol plants beyond what was warranted by the market factors. We use Muth’s commodity pricing model and Flood and Garber’s tests to test for speculative investment in US corn ethanol industry. The ethanol price expectations are derived using a system of supply-demand-inventory describing US ethanol markets under rational expectations (perfect foresight). These price expectations can help differentiate the installed capacity into two: capacity supported by the market fundamentals and the probable capacity that is installed based on speculation. Econometric estimation procedures and functional form approximations are discussed.
Tipo: Conference Paper or Presentation Palavras-chave: Ethanol; Speculation; Commodity prices; Investment; Agricultural Finance; Financial Economics; Q14; Q41; D8; L71.
Ano: 2010 URL: http://purl.umn.edu/61418
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GHG Trading Framework for the U.S. Biofuels Sector AgEcon
Kumarappan, Subbu; Joshi, Satish V..
Substitution of petroleum fuels with biofuels such as ethanol and biodiesel has been shown to reduce greenhouse gas (GHG) emissions. These GHG reductions can be traded in the emerging carbon markets, and methodologies for quantifying and trading are still being developed. The main challenges in developing such GHG trading framework are analyzed. An outline of such a framework is presented that depends on the life cycle assessment of GHG reductions, along with a combination of project specific and regional standard performance measures. The advantages of assigning GHG property and trading rights to biofuel producers are discussed. At carbon prices of $10 per metric ton, estimated additional revenues to biofuel producers range from $ 17 to 64 million dollars...
Tipo: Conference Paper or Presentation Palavras-chave: Biofuels; Ethanol; Biodiesel; Carbon trading; GHG emissions trading; Methodology; CCX; CDM; Maize; Lignocellulosics; Well to wheel; Life cycle analysis; Environmental Economics and Policy; Q42; D23; D4.
Ano: 2008 URL: http://purl.umn.edu/54530
Registros recuperados: 5
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