Optimizing and scheduling of super large-scale seawater reverse osmosis desalination system

Abstract

In order to realize optimizing and scheduling of super large-scale seawater reverse osmosis (SWRO) desalination system, an optimizing-scheduling system based on General Algebraic Modeling System (GAMS) is developed according to the forecast of water consumption. Firstly, water consumption in each period of a day was forecasted based on historical water consumption data. Secondly, an optimizing-scheduling model with the minimum energy consumption cost as the target was developed based on the process technological requirements and period-based tariff policy of SWRO desalination system. Finally, the optimizing solution was made for the model by using GAMS software. It is indicated from the scheduling example that the scheduling system can be used to realize optimizing and scheduling successfully and obtain obvious economic and social benefits.