Key Takeaways
Desalination is a widely used process in the universal drive to create new water supplies, with systems frequently turning to reverse osmosis (RO) as an affordable treatment technology.
Intelligent water models, which use advanced algorithms to analyze large amounts of diverse data, can work in tandem with membrane forensics to boost RO systems’ efficiency.
Membrane fouling is a prime candidate for the benefits of intelligent water technologies, which could allow for real‐time analysis and control.
Machine learning could gain a foothold in water treatment as its capabilities evolve and applications are understood and accepted.