A.A. Alonso

Integrated Process Design and Control Via Global Optimization: A Wastewater Treatment Plant Case Study

The problem of simultaneous design and control optimization is discussed in this contribution. We consider a NLP-DAEs formulation of this problem, and we show how it can be solved using stochastic global optimization (GO) methods. In particular, we consider a medium complexity case study related with the integrated process design and control of a wastewater treatment plant. Parallel versions of several of the GO solvers are also presented which can handle larger problems in modest computation times.

Mathematical modelling and simulation of the thermal processing of anisotropic and non-homogeneous conduction-heated canned foods: application to canned tuna

Abstract Thermal processing of conduction-heated canned foods is modelled using three approaches: (A) homogeneous isotropic, (B) homogeneous anisotropic and (C) non-homogeneous anisotropic systems. Based on these models, numerical simulations are performed, using finite differences and finite elements methods. The simulation results are validated with experimental data obtained from the sterilization of canned tuna, a rather complex system. The last approach is found to be the most appropriate, though the second can be used for practical purposes.

Integrated Process Design and Control Via Global Optimization

The problem of simultaneous design and control optimization is discussed in this contribution. We consider a NLP-DAEs formulation of this problem, and we show how it can be solved using stochastic global optimization (GO) methods. In particular, we consider a medium complexity case study related with the integrated process design and control of a wastewater treatment plant. Parallel versions of several of the GO solvers are also presented which can handle larger problems in modest computation times.