Energy management based fuzzy-logic of a reverse osmosis desalination powered with hybrid system

Abstract

Reverse osmosis desalination systems powered by hybrid renewable source have attracted more and more interests due to the rapid economic growth which increase the human’s resources demand especially natural resources. This study aims to propose a real time energy management control strategy for achieving a stand-alone hybrid power reverse osmosis desalination system goal. The hybrid power desalination system comprises: a photovoltaic generator and a wind turbine as renewable sources coupled with a three motor-pumps and three tanks for water storage. These system components are modeled with a particularity of a single sizing parameter between the desalination motor-pump and the reverse osmosis process. The developed energy management strategy is based on fuzzy logic method. The proposed water/energy management strategy is able to satisfy the load consumption profile and to manage the generated power between the different subsystems depending on the variation of the wind and solar radiation and the state of the three tanks. A dynamic simulator with one-hour acquisition using real meteorological and water consumption data for one year of a southern Tunisia site is developed to treat the PV/Wind reverse osmosis desalination unit coupled with the energy management system based on fuzzy logic strategy. The proposed smart power energy management method led to encouraging results.