Texas Researchers Say Permian Wastewater Could Cool AI Data Centers
Academic research suggests that the oil and gas industry could provide a sustainable cooling solution for the water-intensive artificial intelligence sector.
A study from the University of Texas at Austin indicates that wastewater generated by the energy sector could be repurposed to cool artificial intelligence data centers. According to OilPrice.com, the rapid expansion of hyperscale data centers is putting significant pressure on global freshwater and power supplies. By utilizing oilfield byproducts, tech companies could potentially reduce their impact on municipal water systems and finite natural resources.
The research, published in the journal Water Research, examined established desalination methods such as reverse osmosis and vapor capture. While reverse osmosis is noted as the most efficient technique, it faces limitations with highly saline water. The alternative method of heating water into vapor is more energy-intensive but remains a viable option. Professor Vaibhav Bahadur noted that these methods rely on existing tools rather than "futuristic technology."
The Permian Basin currently produces approximately 790 million gallons of wastewater daily, which is significantly more than the 5 million gallons a large data center typically requires. Current disposal methods involve transporting this water for underground injection, a process linked to seismic risks. Integrating this waste stream into data center cooling could resolve disposal capacity issues expected by 2030 while providing a reliable fluid source for the tech industry.
Helena Marsh — Energy Markets Editor. Helena covers crude, refined products and the trading houses that move them, with a focus on price formation in the Mediterranean and Black Sea.
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