M. Soledad Diaz

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We consider the dynamic optimization of chemical processes with changes in the number of equilibrium phases. Recent work has shown that transitions in the number of phases can be modeled as a mathematical program with equilibrium constraints (MPEC). This study generalizes the MPEC to consider dynamic characteristics. In particular, we describe a(More)
In this work we propose an MILP multiperiod formulation for the optimal design and planning of the Argentinean biodiesel supply chain, considering soybean, sunflower and jatropha as raw materials. The country has been divided into twenty three regions, corresponding to its provinces, each one including existing crops, oil and biodiesel plants and potential(More)
In this work, we formulate a parameter estimation problem for a large-scale dynamic metabolic network. The DAE system represents the dynamic model for the Embden-Meyerhof-Parnas pathway, the phosphotransferase system and the pentose-phosphate pathway of Escherichia coli K-12 W3110 (Chassagnole et al., 2002), with modifications on several enzyme kinetics and(More)
In this work we address dynamic optimization of natural gas processing plants through the use first principle models and full discretization of both control and state variables. The optimization problem includes rigorous models for cryogenic countercurrent heat exchangers with partial phase change, separation tanks, distillation columns and turboexpanders.(More)
This work addresses the dynamic parameter estimation problem for an eutrophication model, which is formulated within a simultaneous approach. Ecological processes are modeled through a set of complex nonlinear differential algebraic equations, with rate coefficients that must be estimated. Gradients of state variables are considered along the water column,(More)