Abstract:
Methods are disclosed for monitoring, controlling and optimizing fouling of a two side membrane fouling process. The method for monitoring fouling of a two side membrane fouling process can include determining the process model for the two side membrane fouling process. The parameters of the process model can be grouped based on the interactions thereof between the parameters so as to form one or more groups of parameters. At least one key performance index is estimated in relation to one or more groups of parameters. The fouling of the two side membrane fouling process is monitored correspondingly in relation to at least one key performance index.
Abstract:
Methods are disclosed for monitoring, controlling and optimizing fouling of a two side membrane fouling process. The method for monitoring fouling of a two side membrane fouling process can include determining the process model for the two side membrane fouling process. The parameters of the process model can be grouped based on the interactions thereof between the parameters so as to form one or more groups of parameters. At least one key performance index is estimated in relation to one or more groups of parameters. The fouling of the two side membrane fouling process is monitored correspondingly in relation to at least one key performance index.
Abstract:
A method is disclosed for estimating an optimal individual product water flow rate for a RO train in an RO unit. The RO unit includes a plurality of RO trains. The method can include providing a desired overall product water flow rate for the reverse osmosis unit followed by obtaining one or more dynamic characteristics for each RO train in the plurality of RO trains; estimating a minimal specific energy consumption value for each RO train using the one or more dynamic characteristics; and subsequently obtaining an optimal individual product water flow rate for each RO train.
Abstract:
Method for on-line prediction of performance of an RO based desalination plant is disclosed. The method includes: (i) a mathematical model of the RO unit; (ii) on-line estimation of membrane physical parameters of the nonlinear mathematical model representing the RO unit; and (iii) analysis of the estimated membrane transport parameter with respect to time. Based on the analysis of these estimated parameters, plant operators can clean the membranes to restore the performance of the RO desalination plant. The method can be implemented in a computer based control system used for data acquisition and control of an RO based desalination plant. The method can help in maintaining the performance of the RO based desalination plants at a desired level and increase membrane life without affecting quality of permeate water produced.
Abstract:
Method for on-line prediction of performance of an RO based desalination plant is disclosed. The method includes: (i) a mathematical model of the RO unit; (ii) on-line estimation of membrane physical parameters of the nonlinear mathematical model representing the RO unit; and (iii) analysis of the estimated membrane transport parameter with respect to time. Based on the analysis of these estimated parameters, plant operators can clean the membranes to restore the performance of the RO desalination plant. The method can be implemented in a computer based control system used for data acquisition and control of an RO based desalination plant. The method can help in maintaining the performance of the RO based desalination plants at a desired level and increase membrane life without affecting quality of permeate water produced.