Design of a water reuse network for industrial symbiosis - A global optimization strategy

The study presents a global optimization strategy in designing a water reuse network for industrial symbiosis. Two optimization approaches, stochastic and deterministic, are compared based on the level of complexity of the network such as the number of contaminants, treatment unit selection, flow variation. Preliminary results on a general superstructure formulated as a mixed integer nonlinear programing shows promising performance of a stochastic model using a non-dominated sorting genetic algorithm. The developed optimization methodology will be extended to perform uncertainty and flexibility assessments of water reuse networks.