Machine Learning Membrane Cleaning Reverse Osmosis Water Reuse

PUB Singapore’s National Water Agency undertakes long-term project with Synauta

Synauta, the water industry’s first choice to optimize reverse osmosis, is working with Public Utilities Board (PUB), Singapore’s National Water Agency, to optimize cleaning schedules using machine learning. The 18-month project, which started earlier this year at Bedok NEWater Factory, will test Synauta’s software to predict the best time to clean membranes. In Phase 1 […]

Membrane Cleaning Reverse Osmosis Water Reuse
Desalination and Water Reuse Saving Chemicals

Machine learning for RO increases permeate production by 6.2%, reduces CIP frequency

Cleaning reverse osmosis (RO) membranes is critical to meeting daily production targets and avoiding the high costs of replacing membranes too early. Deciding when to clean a plant currently relies too heavily on guesswork or generic guidelines. Synauta’s patent-pending solution predicts the optimal time to clean. Today Synauta released a case study for an industrial […]

Desalination Media Reverse Osmosis
GWI Synauta Advancing RO Market Map CTO Mag

GWI CTO Magazine: Configurations and smart optimisation make the difference in advancing RO

A new article in Global Water Intelligence (GWI) CTO Magazine features our CEO Mike Dixon, as well as other desalination industry leaders including Richard Stover, Michael Boyd and Hoon Hyung, PhD, PE speaking on technologies to optimize reverse osmosis. From GWI: The potential of radical material science taking reverse osmosis to new heights is yet […]