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Digital twins are virtual representations of physical assets, processes, or systems that can help you optimize performance, reduce costs, and improve customer satisfaction. Learn how to get started with this practical overview.
By predicting flows and optimising processes, predictive process control delivers an integrated solution for the whole catchment. Learn how to reduce energy consumption and increase the efficiency of wastewater treatment.
Discover how to improve your environmental consent process from site selection to commission of offshore wind farms, based on collaborative research with environmental and engineering experts
Learn how the virtual operator controls the performance of the entire water cycle based on sensor-generated data combined with consumption and weather forecasts.
Learn how to reduce the operational burden of sludge transport, dewatering and PE consumption with automation of the sludge disposal process and treatment optimisation.
This whitepaper explores the use of predictive monitoring in preventing fatbergs by foreseeing potential sewer blockages.
Discover how AI detects water leaks, minimising loss by predicting demand, analysing data, and locating leaks promptly.
The Twinn Aqua Suite virtual operator analyses historical and real-time data, ensuring efficient day-to-day operations while addressing security threats.