(243f) A Flexible Framework for Optimal Biorefinery Product Allocation Conference: AIChE Annual MeetingYear: 2005Proceeding: 2005 AIChE Annual MeetingGroup: Computing and Systems Technology DivisionSession: Poster Session: Recent Developments in Systems and Process Design Time: Tuesday, November 1, 2005 - 3:00pm-6:00pm Authors: Sammons, Jr., N. E., Intramicron Inc. The integrated biorefinery has the opportunity to provide a strong, self-dependent, sustainable alternative for the production of bulk and fine chemicals from polymers, fiber composites and pharmaceuticals to energy, liquid fuels and hydrogen. With such a wide range of processing steps and possible products, it is obvious that identification of the optimum process structure can not be done based on heuristics or rules of thumb. Depending on market prices and trends, the optimum allocation of resources and production capacity may switch between the different products. Thus there is a need for systematic, reliable methods capable of incorporating different levels of process detail in the decision making framework. In this work a mathematical optimization based framework is being developed, which enables the inclusion of profitability measures and other techno-economic metrics along with process insights and performance characteristics obtained from experimental and modeling studies. By utilizing process integration methods, the processing steps can be optimized to ensure efficient use of energy and materials resources. An inherent benefit of the proposed framework is the ability to adapt to new developments within any of the processing steps and thus also incorporate novel innovative production processes in the decision-making framework. In this way, experimental and theoretical efforts can supplement each other in a synergistic manner, by providing direction and data for continued work. This contribution will illustrate the strategy for developing the decision making framework and highlight the applicability of the methods by proof of concept examples and case studies.