INSLA addresses the storage location optimization for ethanol and biofuels. The model is similar to the MPLP ethanol model in that it is a dynamic optimization, but it is a mixed integer programming variant. The data requirements are similar to the MPLP ethanol model, but also include information on the locations of blending terminals as part of the storage optimization output.
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The model is a vehicle fuel-cycle model for transportation systems. The model provides a set of outcomes that would involve feedstock production, biorefinery production, storage and consumer demand as the complete fuel-cycle. The data is internal to the model, but might be adaptive to different biofuels specifications. This model was developed by the Energy Systems Division at Argonne National Laboratory.
HyDRA is a GIS visualization tool that can be adapted for examination of biofuels infrastructure across the supply chain. HyDRA was developed at NREL for the geographic representation of the hydrogen fuel supply chain. Required data would be spatial data on crop production, storage and biorefinery locations, the transportation network for finished biofuels, blending facilities and consumer demand locations.
PNNL and the University of Maryland's Joint Global Change Research Institute is the home and primary development institution for the Global Change Assessment Model (GCAM - formerly MiniCAM), an integrated assessment tool for exploring consequences and responses to global change. GCAM is a dynamic-recursive model with technology-rich representations of the economy, energy sector, land use and water linked to a climate model that can be used to explore climate change mitigation policies including carbon taxes, carbon trading, regulations and accelerated deployment of energy technology.
Phoenix replaces the Second Generation Model (SGM) that was formerly used, and is a policy analysis tool that operates at regional and national scales using economic input-output data for agriculture, transportation land use, energy consumption, and various policy variables. Resulting outputs are consumer demand for biofuels and regional agricultural land use devoted to biomass production. This model was developed at Pacific Northwest National Laboratory.