Designing a Dedicated Energy Crop Supply System in Tennessee: A Multiobjective Optimization Analysis
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A multiobjective optimization model integrating with high-resolution geographical data was
applied to examine the optimal switchgrass supply system in Tennessee that considers both
feedstock cost and greenhouse gas (GHG) emissions in the system. Results suggest that the
type of land converted into switchgrass production is crucial to both plant gate cost and GHG
emissions of feedstock. In addition, a tradeoff relationship between cost and GHG emissions
for the switchgrass supply is primarily driven by the type of land converted. The imputed cost
of lowering GHG emissions in the feedstock supply system was also calculated based on the
derived tradeoff curve.