Water Plant News

water

Dupont Unveils Ai-Powered Ro Operations Advisor To Cut Water Treatment Costs

ByArticle Source LogoFiltration + Separation04-28-20262 min
Filtration + Separation
water

The RO Operations Advisor is designed to help operators reduce downtime, optimize performance, and lower the overall cost of treated water.

Developed by DuPont Water Solutions, the tool uses advanced analytics and artificial intelligence models built on decades of water treatment expertise. By analysing historical operating data from individual facilities, it delivers tailored recommendations on membrane cleaning and replacement, helping operators extend equipment life and maintain consistent output.

“Operating reverse osmosis systems efficiently can be a daily balancing act – managing energy use, protecting membrane life and avoiding unplanned downtime while still meeting water demand,” said Sylvia Insogna, Global New Business Development Leader at DuPont Water. “With the RO Operations Advisor, customers can apply AI-enabled, system-specific recommendations to improve uptime and performance while reducing energy use and unplanned downtime.”

The platform evaluates past system performance, identifying trends such as fouling or scaling and tracking previous maintenance events. It then generates forward-looking guidance on optimal cleaning schedules and membrane replacement timing. In addition, the tool can estimate potential operating expense savings based on recommended actions.

Unlike standardised approaches, the RO Operations Advisor applies customised models to each system, helping operators avoid unnecessary interventions while reducing the risk of unexpected failures.

The web-based interface includes automated data normalisation and flexible analytics, enabling users to access insights remotely. According to DuPont, the tool could help reduce operating expenses by up to 20%, driven by lower energy and chemical use, improved water recovery, and more efficient membrane management, while also supporting broader sustainability targets.

Recent Comments
0
Loading related news…