Dynamic Optimization of a Batch Reactor using the capabilities of an MINLP process synthesizer MIPSYN
نویسندگان
چکیده
This contribution describes the development of various strategies for the dynamic optimization of a batch reactor in order to obtain a robust model, suitable for nonlinear (NLP) or mixed-integer nonlinear programming (MINLP) problems. Different Orthogonal Collocation on Finite Element (OCFE) schemes and various formulations of the MINLP model have been studied to increase its robustness. It has been found that none of the MINLP model formulation is as efficient as NLP. Various strategies have been applied to NLP and MINLP models, and in addition, their efficiencies and robustness have been compared.
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