Data centers across North America are experiencing growing opposition from local communities due to concerns over rising electricity costs, pollution, and particularly, water consumption. These challenges have intensified as the demand for AI technology significantly expands the data center footprint.

One innovative solution being proposed is atmospheric water harvesting (AWH) developed by Atoco, a startup focused on water technology. This company has engineered several systems capable of creating a virtually limitless supply of potable water by capturing moisture from the air.

Omar Yaghi, Founder and Chief Science Officer of Atoco, states, “The atmosphere contains seven times more fresh water than all rivers and lakes combined.” In his recent publication titled Sustainable AI in a Water-Scarce World: How to Tackle the Data Center Water Challenge with Atmospheric Water Harvesting, Yaghi emphasizes the potential of harnessing atmospheric moisture to combat pressing global issues such as climate change while providing individuals with greater water independence.

For data centers, Atoco suggests utilizing nano-engineered reticular materials that can capitalize on waste heat produced during operations. By leveraging low-grade waste heat, water can be generated directly on-site. This method is particularly beneficial for next-generation AI facilities, which are projected to consume significant energy, thus requiring substantial water for cooling while generating excess waste heat.

Yaghi asserts, “Rather than relying on already stressed water sources or expensive imports, water can be generated exactly where it’s needed in a sustainable and cost-effective manner.” This innovation addresses the dual challenge of water scarcity and energy efficiency within the data center industry.

Exploring Traditional Water Solutions

The global challenges of water shortages and drought have spurred the development of various Atmospheric Water Generators (AWGs). These systems draw air into a chamber and process it through different methods to extract moisture. Depending on the climate and energy resources available, techniques may include fog harvesting, cooling and condensation, adsorption, or desiccation.

For instance, fog harvesting involves capturing water droplets using mesh structures. While it requires no energy input, this method is viable only in regions with consistent fog. Conversely, condensation-based AWGs cool air to its dew point to produce water, but in arid climates, this requires substantial energy, making it less efficient and cost-prohibitive.

Utilizing Waste Heat for Water Generation

Atoco's approach to AWH enables data centers to generate water powered solely by ambient energy, such as the temperature difference between the cold outside air and the low-grade waste heat produced by servers. Remarkably, a temperature differential as minimal as 7 °C (13 °F) can effectively power the water generation process.

Yaghi is optimistic that this system can function at utility scale, potentially off-grid, even in extremely dry and arid environments. Such an advancement could significantly reduce water contention in regions of the U.S. West and Southwest that are already facing challenges related to water availability. Moreover, it could help assuage local communities' concerns about the impact of new AI data centers on local water supplies.

Ultimately, this innovative solution not only addresses the critical issue of water consumption in data centers but also provides a means to utilize the waste heat generated during operations effectively.

Also read: As AI infrastructure scales, energy limits are emerging as a hard constraint on new capacity, even before projects run into land, water, and permitting disputes.

Source: TechRepublic News