Researchers are developing advanced automation techniques for desalination and water treatment plants, enabling them to save while providing affordable drinking water to small, parched communities without high-quality water supplies.
Researchers at the Department of Energy’s Oak Ridge National Laboratory are developing advanced automation techniques for desalination and water treatment plants, enabling them to save while providing affordable drinking water to small, parched communities without high-quality water supplies.
A team led by Villez is developing software based on machine learning that can make decisions about the best actions to maintain a high quality of treatment in the most efficient way, saving energy, money and water. Choices can be influenced by daily weather, drought conditions, real-time energy and water prices, plant maintenance and changes in the composition of the untreated water.
“Making advanced automation accessible to small water utilities and small stand-alone systems is essential for widespread adoption,” said Polsky, who is also director of ORNL’s Manufacturing Sciences Division. “Small and medium-size system providers typically have fewer resources for hiring technical experts to implement advanced controls.”
“We want to deliberately introduce changes to see if our model is accurate, so we have the ability to respond to adversarial events, inadvertent errors or gradual changes in the bacterial treatment process that you might not notice if you don’t compare,” Villez said. “We’re balancing economic performance with resiliency.”project, ORNL researchers are also building a digital twin of a real-world desalination plant owned by Orange County, California.
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