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Biomass Supply from Alternative Cellulosic Crops and Crop Residues: A Preliminary Spatial Bioeconomic Modeling Approach AgEcon
Egbendewe-Mondzozo, Aklesso; Swinton, Scott M.; Izaurralde, R. Cesar; Manowitz, David H.; Zhang, Xuesong.
This paper introduces a spatial bioeconomic model for study of potential cellulosic biomass supply at regional scale. By modeling the profitability of alternative crop production practices, it captures the opportunity cost of replacing current crops by cellulosic biomass crops. The model draws upon biophysical crop input-output coefficients, price and cost data, and spatial transportation costs in the context of profit maximization theory. Yields are simulated using temperature, precipitation and soil quality data with various commercial crops and potential new cellulosic biomass crops. Three types of alternative crop management scenarios are simulated by varying crop rotation, fertilization and tillage. The cost of transporting biomass to a specific...
Tipo: Working or Discussion Paper Palavras-chave: Biomass production; Bioenergy supply; Biofuel policy; Bioenergy; Cellulosic ethanol; Agro-ecosystem economics; Ecosystem services economics; Agro-environmental trade-off analysis; Mathematical programming; EPIC; Agricultural and Food Policy; Crop Production/Industries; Environmental Economics and Policy; Land Economics/Use; Production Economics; Resource /Energy Economics and Policy; Q16; Q15; Q57; Q18.
Ano: 2010 URL: http://purl.umn.edu/98277
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Can Dispersed Biomass Processing Protect the Environment and Cover the Bottom Line for Biofuel? AgEcon
Egbendewe-Mondzozo, Aklesso; Swinton, Scott M.; Bals, Bryan D.; Dale, Bruce E..
This paper compares environmental and profitability outcomes for a centralized biorefinery for cellulosic ethanol that does all processing versus a biorefinery linked to a decentralized array of local depots that pretreat biomass into concentrated briquettes. The analysis uses a spatial bioeconomic model that maximizes predicted profit from crop and energy products, subject to the requirement that the biorefinery must be operated at full capacity. The model draws upon biophysical crop input-output coefficients simulated with the EPIC model, as well as input and output prices, spatial transportation costs, ethanol yields from biomass, and biorefinery capital and operational costs. The model was applied to 82 cropping systems simulated across 37...
Tipo: Working Paper Palavras-chave: Biomass production; Bioenergy supply; Cellulosic ethanol; Environmental trade-off analysis; Bioeconomic modeling; EPIC; Spatial configuration; Local biomass processing; Crop Production/Industries; Environmental Economics and Policy; Production Economics; Resource /Energy Economics and Policy; Q16; Q15; Q57; Q18.
Ano: 2011 URL: http://purl.umn.edu/119348
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