Optimizing the biofuels infrastructure: transportation networks and biorefinery locations in Illinois

S Kang, H Önal, Y Ouyang, J Scheffran… - Handbook of bioenergy …, 2010 - Springer
Handbook of bioenergy economics and policy, 2010Springer
Growing biofuel mandates pose considerable challenges to the infrastructure needed
across all stages of the supply chain− from crop production, feedstock harvesting, storage,
transportation, and processing to biofuel distribution and use. This chapter focuses on the
biofuel transportation and distribution network infrastructure, using Illinois as a case study.
Building on an optimal land use allocation model for feedstock production, a mathematical
programming model is used to determine optimal locations and capacities of biorefineries …
Abstract
Growing biofuel mandates pose considerable challenges to the infrastructure needed across all stages of the supply chain − from crop production, feedstock harvesting, storage, transportation, and processing to biofuel distribution and use. This chapter focuses on the biofuel transportation and distribution network infrastructure, using Illinois as a case study. Building on an optimal land use allocation model for feedstock production, a mathematical programming model is used to determine optimal locations and capacities of biorefineries, delivery of bioenergy crops to biorefineries, and processing and distribution of ethanol and co-products (DDGS). The model aims to minimize total system costs in a multiyear planning horizon for the period of 2007–2022. Certain locations may be more suitable for corn and corn stover-based ethanol plants, others more for producing ethanol using perennial grasses (miscanthus)
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