Can Dispersed Biomass Processing Protect the Environment and Cover the Bottom Line for Biofuel?
AbstractThis 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 sub-watersheds in a 9-county region of southern Michigan in response to ethanol prices simulated to rise from $1.78 to $3.36 per gallon. Results show that the decentralized local biomass processing depots lead to lower profitability but better environmental performance, due to more reliance on perennial grasses than the centralized biorefinery. Simulated technological improvement that reduces the processing cost and increases the ethanol yield of switchgrass by 17% could cause a shift to more processing of switchgrass, with increased profitability and environmental benefits.
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Bibliographic InfoPaper provided by Michigan State University, Department of Agricultural, Food, and Resource Economics in its series Staff Papers with number 119348.
Date of creation: Dec 2011
Date of revision:
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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;
Find related papers by JEL classification:
- Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
- Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
- Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
This paper has been announced in the following NEP Reports:
- NEP-AGR-2012-01-18 (Agricultural Economics)
- NEP-ALL-2012-01-18 (All new papers)
- NEP-ENE-2012-01-18 (Energy Economics)
- NEP-ENV-2012-01-18 (Environmental Economics)
- NEP-RES-2012-01-18 (Resource Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jones, C. A. & Dyke, P. T. & Williams, J. R. & Kiniry, J. R. & Benson, V. W. & Griggs, R. H., 1991. "EPIC: An operational model for evaluation of agricultural sustainability," Agricultural Systems, Elsevier, vol. 37(4), pages 341-350.
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