Gradiant’s SmartOps technology is a powerful software platform that uses machine learning to optimize plant performance and manage assets efficiently. The technology takes into account various input and output parameters, ensuring that facilities meet operating design standards and mechanical limitations, while reducing energy consumption and maintaining water quality and production targets. It’s particularly effective in optimizing the flow of water across reverse osmosis trains with varying efficiencies.

By harnessing the power of machine learning AI algorithms, SmartOps can enhance and predict plant operations, leading to immediate improvements in productivity, cost savings, and reduced carbon and water footprints.

A historical data audit showed that the SmartOps digital technology could achieve energy savings of up to 5%, with a maximum recovery rate of 48% for a plant using a Pelton wheel and manual feed control valve.

To verify these energy savings, Gradiant’s Turing employed a simulation model based on ISO International Performance Measurement and Verification Protocol (IPMVP®) to predict what the energy use would have been under standard conditions. This confirmed the energy savings with the client.