Global optimization of multiscenario mixed integer nonlinear programming models arising in the synthesis of integrated water net

The problem of optimal synthesis of an integrated water system is addressed in this work, where water using processes and water treatment operations are combined into a single network such that the total cost of building the network, and operating it optimally is globally minimized. The network has to be designed to be feasible and optimal over a given set of scenarios in which different operational conditions hold. The uncertain operational parameters in the system are the amount of contaminants generated in the process units and the extent of removal of the contaminants inside the treatment units. We optimize a superstructure that incorporates all feasible design alternatives for wastewater treatment, reuse and recycle, with a multiscenario nonconvex Mixed Integer Non-Linear Programming (MINLP) model, which is a deterministic equivalent of a two-stage stochastic programming model with recourse, and where the uncertain parameters take on a finite number of realizations. These models ...

• Type: Journal
• Year: 2008
• Where: CCE
• Authors: Ramkumar Karuppiah, Ignacio E. Grossmann
• Keywords: CCE 2007, CCE 2008, Integrated Water, Uncertain Operational Parameters, Water Treatment Operations