The Potential of Artificial Intelligence in Wastewater Treatment

The need to conserve water and manage it more efficiently is perhaps now more dire than it ever has been. Among other water consumption issues: We have a record, still-growing population on the planet; accelerating levels of drought worldwide; and the artificial intelligence (AI) boom is guzzling water at a dazzling rate in order to keep data servers running.

Ironically, though, AI might just also be essential to redefining and maximizing the efficiency of our water use, along with similar emerging digital technologies like machine learning (ML), automation, and digital twins. These technologies can create “smart water” systems for industry — A concept that’s been primarily associated with drinking water, but is also starting to blossom in the wastewater sector as well.

Around two trillion gallons of treated wastewater are lost in the United States each year, which is a massive blow to US business and the environment. AI, ML, digital twins, and automation have the potential to mitigate the infrastructural inefficiencies that cause this water loss by optimizing water use, reducing the loss, and helping to build circular water management systems/economies that will emphasize reuse and minimization of use/waste across all sectors of industry.

In wastewater treatment plants specifically, these technologies can assist in understanding a system’s rate of flow, optimizing and saving energy, and providing data that is a useful tool in the decision-making process. These benefits would add up to significant cost savings in both expenditures and labor, and more importantly contribute to lessening our environmental burdens and increasing sustainability.

Wastewater Digest, which is following the expansion of AI and its sister technologies in the wastewater sector closely, says industry should implement these actions in order to reduce and optimize industrial water use:

• Assess and monitor water use with smart technology
• Invest in digital technologies like AI, ML, and digital twins
• Automate water management operations to maintain optimal performance
• Foster cultural sustainability so that everyone contributes to saving water
• Collaborate across industry to amplify results

Primary Sources and Additional Information

• Turning the tide: How automation is reshaping water use in industry
• AI is transforming the future of wastewater system management and treatment
• Wastewater, AI and aeration blower performance
• Can you trust predictive wastewater analytics?
• Exploring the intersection of data, communications & power infrastructure
• Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects
• Artificial Intelligence and IoT in Wastewater Treatment
• How AI is being used in wastewater treatment plants?