Driving sustainable water management

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Driving sustainable water management

Driving sustainable water management

Water-intensive industries benefit from circularity, innovative investments, and data-driven technologies.

By MIT Technology Review Insights

In partnership withSchneider Electric

From semiconductor manufacturing to mining, water is an essential commodity for industry. It is also a precious and constrained resource. According to the UN, more than 2.3 billion people faced water stress in 2022. Drought has cost the United States $249 billion in economic losses since 1980. 

Climate change is expected to worsen water problems through drought, flooding, and water contamination caused by extreme weather events. “I can’t think of a country on the planet that doesn’t have a water scarcity issue,” says Rob Simm, senior vice president at Stantec, an engineering consultancy focused on sustainability, energy solutions, and renewable resources. 

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Economic innovations, notably AI and electric vehicles, are also increasing industrial demand for water. “When you look at advanced manufacturing and the way technology is changing, we’re requiring more, higher volumes of ultrapure water [UPW]. This is a big driver of the industrial water market,” Simm says. AI, computing, and the electric vehicle industries all generate immense quantities of heat and require sophisticated cooling and cleaning. Manufacturing silicon wafers for semiconductor production involves intricate cleaning processes, requiring up to 5 million gallons of high-quality UPW daily. With rising demand for semiconductors, improvements in water treatment and reuse are imperative to prevent waste.   

Data-driven industrial water management technologies are revolutionizing how enterprises approach conservation and sustainability. They are harnessing the power of digital innovation by layering sensors, data, and cloud-based platforms to optimize physical water systems and allow industrial and human users to share water access. Integration of AI, machine learning (ML), data analytics, internet of things (IoT) and sensors, digital twins, and social media can enable not just quick data analysis, but also can allow manufacturers to minutely measure water quality, make predictions using demand forecasting, and meet sustainability goals.

More integrated industrial water management solutions, including reuse, industrial symbiosis, and zero liquid discharge (ZLD), will all be crucial as greenfield industrial projects look toward water reuse. “Water is an input commodity for the industrial process, and wastewater gives you the opportunity to recycle that material back into the process,” says Simm. 

Treating a precious resource

Water filtration systems have evolved during the past century, especially in agriculture and industry. Processes such as low-pressure membrane filtration and reverse osmosis are boosting water access for both human and industrial users. Membrane technologies, which continue to evolve, have halved the cost of desalinated water during the past decade, for example. New desalinization methods   run on green power and are dramatically increasing water output rates. 

Advances in AI, data processing, and cloud computing could bring a new chapter in water access. The automation this permits   allows for quicker and more precise decision-making. Automated, preset parameters let facilities operate at capacity with less risk. “Digital technology and data play a crucial role in developing technology for water innovations, enabling better management of resources, optimizing treatment processes, and improving efficiency in distribution,” says Vincent Puisor, global business development director at Schneider Electric. 

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