Abstract: A predictive maintenance system for a Sample Handling System (SHS) of a Gas Analyzer determines optimal operational range for SHS and for each component of the SHS by analyzing real-time operational data and historical operational data using a pretrained prediction model; detects a system fault in the SHS by comparing real-time operational data of the SHS with the optimal operational range of the SHS; detects a component fault in at least one of the components by comparing the real-time operational data of the components with the optimal operational range of each component; and forecasts a future operational state of each component based on information related to the system fault, information related to the component fault and topology information of the components, thereby performing the predictive maintenance of the SHS.

Abstract: A method is disclosed for scaling control in a membrane system operation. The method can be performed by a model in the control system of a plant. The method can include selecting one or more antiscalants corresponding to one or more components of the scale, based on one or more of feed water condition, membrane material, membrane fouling status and a kinetic study relating to a reaction between the antiscalants and the components of the scale. The composition of one or more selected antiscalants can be estimated based on an overall scaling rate constant.

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: An exemplary energy auditing system and a method for obtaining a validated performance solution for a plant are provided. An exemplary system and method includes at least one processor that obtains plant data for calculating one or more performance metrics. An initial benchmark is generated using performance metrics, a tunable process model and an optimizer. A rules engine is used for applying rules based on a dynamic input on the initial benchmark and current performance metrics, and for generating an output. A decision analysis module is used for validating if the output meets the specifications of the dynamic input using a what-if analysis. If the specifications are met, then the output is provided as a validated performance solution. If the specifications are not met, then the benchmark is evolved and the validating steps are repeated.

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: A method is disclosed for scaling control in a membrane system operation. The method can be performed by a model in the control system of a plant. The method can include selecting one or more antiscalants corresponding to one or more components of the scale, based on one or more of feed water condition, membrane material, membrane fouling status and a kinetic study relating to a reaction between the antiscalants and the components of the scale. The composition of one or more selected antiscalants can be estimated based on an overall scaling rate constant.