Optimal sizing of stand-alone wind-powered seawater reverse osmosis plants without use of massive energy storage

A method, which involves genetic algorithms, is presented for the optimal sizing of a system comprising medium-scale modular seawater reverse osmosis desalination plant powered exclusively by off-grid wind energy. The uses water storage reservoir that allows coverage particular hourly freshwater demand. use massive energy devices discarded, although flywheels are used as dynamic regulation subsystem well an uninterrupted power device to supply control subsystem. method considers interannual variation energy, it machine learning techniques, and introduces randomness in daily demand profile. strategy based on ensuring consumption modules remains synchrony with generation throughout system’s useful life, either operating under constant pressure flow conditions or varying these parameters within acceptable range. proposed applied case study, aiming cover 1825 × 103 m3/year, equivalent production 5000 m3/day capacity. As evaluates influence diverse economic technical parameters, constitutes tool design implementation such systems. results obtained study compared those basis configuration backup batteries ensure continuous operation. It shown variable provides system.