posted on 2015-11-30, 00:00authored byRex T.
L. Ng, Christos T. Maravelias
The
conversion of lignocellulosic biomass to fuels has the potential
to reduce our dependence on fossil fuels. To ensure biomass supply
meets biofuel demand, it is necessary to have an effective biomass
supply network. Toward this end, the concept of regional biomass processing
depot, where biomass is pretreated and/or densified to a higher density
intermediate, has been introduced to improve the performance of supply
network in terms of costs and emissions. In this article, we develop
a mixed-integer nonlinear programming model for the capacity and inventory
planning problem of biofuels supply chain including depots. Importantly,
the proposed model accounts for variable locations of depots, which
is a subject that has not been studied in the literature. In addition,
our models account for biomass selection and allocation, technology
selection and capacity planning at depots and biorefineries, and biomass
seasonality.