Abstract: A digital twin model based plant operation and optimization is provided. Systems and methods of the solution can receive data on assets of a plant, the assets' topology, connectivity and flow and deployed physical instruments along with the measurements of the physical instruments. The solution generate a model having a plurality of layers based on the received data and provide one or more virtual instruments in the model. The solution can determine, based on a set of relationships for interactions between assets and the received measurements input into the model, one or more virtual measurement for the one or more virtual instruments and generate, responsive to a comparison with a threshold, a notification to service at least one of the assets at the plant.

Abstract: A data processing system enables a user to select performance indicators in terms of which a plant operation is to be optimized. The system receives data from instruments monitoring plant operation and a user selection of a performance indicators to optimize in accordance with one or more set-points for assets at the plant. The system generates a plurality of values for the performance indicator via the model and based on the data and a plurality of test values for the set-point. The system determines one or more settings for one or more set-points of at least one of the plurality of assets at the plant based on the plurality of values for the performance indicator and the plurality of test values for the set-point and provides the one or more settings for the one or more set-points to adjust the performance of the plant.

Abstract: A digital twin model based plant operation and optimization is provided. Systems and methods of the solution can receive data on assets of a plant, the assets' topology, connectivity and flow and deployed physical instruments along with the measurements of the physical instruments. The solution generate a model having a plurality of layers based on the received data and provide one or more virtual instruments in the model. The solution can determine, based on a set of relationships for interactions between assets and the received measurements input into the model, one or more virtual measurement for the one or more virtual instruments and generate, responsive to a comparison with a threshold, a notification to service at least one of the assets at the plant.

Abstract: A digital twin model based operation and optimization of a reverse osmosis plant uses a data processing system to receive data for a reverse osmosis membrane in a plant that with a plurality of assets. The data processing system can determine a level of performance of the membrane based on the data for the membrane input into a model generated with sa topology indicative of one or more relationships and a flow path between the plurality of assets, predict, based on the model and responsive to the level of performance input into an optimization function for the plant, a time at which the level of performance degrades below a threshold, and provide an indication of the time at which the level of performance degrades below the threshold predicted using the optimization function to cause servicing of the membrane used to process the fluid at the plant.

Abstract: A system for storing fluids provides a plurality of containers, a filtering or osmotic fluid processing system and a fluid crossconnect system for connecting the containers with the processing system. Fluid can be drawn from a selected container, processed and directed back to a container, replacing previously processed fluid. Storage volume required in closed fluid processing systems is thereby minimised.