Abstract: A system and a method for neural network-based optimization of coagulant dosing in a desalination plant receives operational data associated with the desalination plant to produce a filtered liquid stream from a first liquid stream. The operational data includes a first set of parameters associated with the first liquid stream. The system and method may determine a second set of parameters based on pre-processing of the first set of parameters. The system and method may also determine a third set of parameters based on the first set of parameters and the second set of parameters. The system and method may also provide the third set of parameters as input to a Neural Network (NN) model and estimate a Silt Density Index (SDI) of the first liquid stream. The system and method may modify a coagulant dosing rate in the first liquid stream based on the estimated SDI data.

Abstract: A system and method for optimizing a seawater reverse osmosis process receives operational data associated with a desalination plant. The operational data includes a set of parameters associated with seawater used at that plant. That seawater is passed through a reverse osmosis membrane unit to output at least a first permeate stream and a second permeate stream. The system receives first permeate stream data and second permeate stream data, and retrieves reference data, including reference first and second permeate stream data. The system provides, as input to a Machine Learning (ML) model, the operational data, the first and second permeate stream data, and the reference data. The system determines a split ratio value based upon output of the ML model, and modifies parameters associated with the seawater based upon the split ratio value.

Abstract: A system and method for predictive analysis of Seawater Reverse Osmosis (SWRO) desalination plants receives first data associated with a SWRO plant, including a first set of parameters associated with seawater, a second set of parameters associated with a permeate, and a third set of parameters associated with a brine. The system determines a fourth set of parameters by applying normalization techniques to the received first data. The system determines, based upon the fourth set of parameters, a set of membrane performance parameters associated with the SWRO plant, or a set of diagnostic indicators associated with at least one of the SWRO plant and the seawater. The system outputs the determined set of membrane performance parameters or the set of diagnostic indicators.

Abstract: A system and a method for remineralization of purified water retrieves liquid stream data associated with a first liquid stream that includes a set of chemical compounds and a set of parameters. The system controls a concentration of at least a first chemical compound of the set of chemical compounds by adding at least the first chemical compound to the first liquid stream. The system compares at least a first parameter of the set of parameters with a corresponding reference parameter of a set of reference parameters based on the addition of the first chemical compound. The system also controls the output of the first liquid stream based on the comparison.

Abstract: A system and method retrieves liquid stream data associated with a first liquid stream that includes a set of chemical compounds. and a set of parameters. The system also retrieves reference data that is associated with a reference liquid stream, and includes a set of reference parameters. The system compares at least a first parameter of the set of liquid-stream parameters with a corresponding reference parameter of the set of reference parameters. The system also controls an output of the first liquid stream based on the comparison of parameters.