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.