Decision based simulation methodology for operation of multi source constant processing optimization system

摘要

The present invention is a multi-source water treatment optimization system that can propose a method of operating a plant process of a multi-source water treatment optimization system for treating raw water containing at least the seawater among seawater, groundwater, rainwater, and surface water at a minimum power ratio. It relates to a decision-making-based simulation method for driving of, comprising: an environment setting step (S10) in which a regression analysis variable for performing a simulation is set in the operation unit 95; Blending setting step (S20) in which the TDS, ratio, and inflow flow rate of the raw water containing at least seawater among seawater, groundwater, rainwater, and surface water to be blended from the blending unit 30 to the calculation unit 95 are set (S20); UF operation condition in which the calculation unit 95 determines the UF unit 20 to be operated based on the TDS of the raw water, and calculates the filtering time and backwash time of the UF unit 20 based on the annual average NTU of groundwater and seawater. Setting step (S30); The operation unit 95 determines the RO unit 40 to be operated according to the UF unit 20, and an RO operation condition setting step (S40) of estimating an optimum operating pressure of the RO unit 40 according to the inflow flow rate of raw water; A step of calculating the optimum operating pressure and processing flow rate of the RO unit 40 by the operation unit 95 (S50); Determining the valve opening of the RO unit 40 according to the optimum operating pressure of the RO unit 40, and calculating an expected flux of the RO unit 40 according to the operating time of the plant process (S60); Calculating, by the operation unit 95, an operating time of the plant process and the power consumption of the UF unit 20 and the RO unit 40 (S70); And selecting, by the operation unit 95, a plant process capable of operating with a minimum operating time and power consumption based on the result of the simulation (S80).