Abstract
This chapter presents a dynamic optimization model for the optimal planning of a distributed biorefinery system taking into account the time dependence of the involved variables and parameters. This chapter incorporates a model predictive control methodology to obtain the behavior of the storages and orders of the supply chain (SC), where the objective function is the difference between the required and satisfied demands in the markets. This chapter considers relevant issues, which include the multiple available biomass feedstocks at various harvesting sites, the availability and seasonality of biomass resources, potential geographical locations for processing plants that produce multiple products using diverse production technologies, economies of scale for the production technologies, demands and prices of multiple products in each consumer, locations of storage facilities, and a number of transportation modes between the SC components.
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