Optimal Design and Operation of Flexible Polygeneration Systems using Decomposition Algorithms

Abstract

A flexible design solution for a polygeneration system that utilizes a hybrid waste tire and natural gas feedstock to produce a mix of electricity, fuels and chemicals is presented. The optimal design and operation under uncertainty problem is formulated as a scenario-based two-stage stochastic MINLP. The problem is modeled using the recently developed GOSSIP software framework and solved using two methods: ANTIGONE to solve the full-space problem or NGBD with a decomposition strategy. The scaling of solution times of these two methods with number of scenarios is compared. The results of the stochastic formulation are compared with the deterministic approach to demonstrate the improvement in economic performance as a result of taking uncertainty into consideration (the value of the stochastic solution).