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23rd European Symposium on Computer Aided Process Engineering, 2013, Vol.32, p.79-84
Erscheinungsjahr
2013
Link zum Volltext
Beschreibungen/Notizen
This paper addresses an integrated biorefinery supply chain analysis in order to identify the critical factors that can contribute to such system effective modeling. Accordingly, a general mixed integer linear programming (MILP) formulation is developed to support the design of an integrated biorefinery supply chain. The model aims to attain the optimal supply chain configurations from many possible alternatives depending on (i) a large portfolio of biomass sources with distinct physical and chemical characteristics and with different possible locations for its supply; (ii) diverse storage types, with or without pre-processing technologies, and locations; (iv) different transportation modes for every material flows; (iv) different processing technologies to attain a large portfolio of biobased products as well as capacities and locations and (v) manage a large portfolio of end products to be sent to different markets. The model is supported by a database built in Excel in order to allow the application of the model to specific situations and be applied as a decision support system.