Sizing of Wind, Solar and Storage Facilities Associated to a Desalination Plant Using Stochastic Optimization

Abstract

In this article we propose the use of black box global stochastic optimization techniques to address the complex problem of sizing renewable sources and electrochemical storage to feed a reverse osmosis desalination plant. We present a scenario simulation technique based on field and synthetic data, and then that complex engineering simulation will be used as the objective function of an optimization problem. Finally the results and conclusions are presented proving the feasibility of the approach for the problem at hand.