This article presents a case study in which a biorefinery has to be sited in Navarre, Spain, considering uncertainty in prices and biomass availabilities. Stochastic optimization is presented as a multistage scenario tree, which is composed of strategic nodes and operational nodes. Furthermore, combinations of strategic nodes conform strategic scenarios while each operational node, which is rooted in a strategic node, represents an operational scenario. Finally, biorefinery stochastic optimization is achieved by solving a mixed integer linear programming model. Promising results are obtained at strategic (location of the plant), tactical (location of warehouses), and operational (biomass purchase management) levels which clearly differ from the deterministic version of the problem.
展开▼
