The central trade-off: carbon versus water
The single most important finding from the research is that there is no one-size-fits-all 'best' location. The environmental footprint of a data center involves two major resources—energy and water—and these often conflict. A location that minimizes carbon emissions may increase water stress, and vice versa. The first study to calculate both footprints across the U.S. found that nearly half of all data center servers are powered by plants in water-stressed regions, while one-fifth of servers' direct water use comes from moderately to highly stressed watersheds [1]. This means that even if a data center runs on clean energy, it could still be environmentally damaging if it consumes scarce local water for cooling.
The same study explicitly investigated trade-offs and synergies by strategically locating data centers to minimize one or both footprints [1]. The key takeaway: you cannot evaluate a location on energy alone. A cold region might reduce cooling water, but if its grid is coal-heavy, the carbon footprint could be high. A nuclear plant provides steady low-carbon power, but the plant itself may withdraw large volumes of water, adding to local water stress. The research shows that the most responsible choice requires balancing both metrics for the specific region.
Renewables: the strongest evidence for low-carbon operation
The most direct evidence for reducing environmental impact comes from studies on renewable energy integration. One algorithm designed to maximize renewable energy usage in distributed cloud data centers achieved 73.11% renewable utilization while keeping service-level agreement violations to just 0.2% [2]. This shows that it is technically feasible to run data centers predominantly on green energy without sacrificing performance. Another study explored the feasibility of taking U.S. data centers off the grid entirely, aligning their energy consumption with the country's renewable energy capacity [3]. The implication is clear: locating near a robust renewable source (wind, solar, hydro) can dramatically cut carbon emissions.
However, the renewable option has a catch: it does not automatically solve the water problem. The same renewable-rich regions (e.g., sunny deserts) are often water-stressed. The Kuwait study highlights this perfectly—extreme heat and limited freshwater in an oil-dependent grid create a 'fragile energy-water-carbon nexus' [4]. So while renewables are the best bet for carbon reduction, they must be paired with water-efficient cooling (e.g., using recycled water or air cooling) to be truly responsible.
Cold regions and nuclear plants: helpful but not sufficient alone
Building in a cold region reduces the energy needed for cooling, which can lower both energy use and water consumption for cooling towers. The Kuwait study shows that in hot climates, cooling demands are 'significantly magnified,' increasing reliance on desalinated water and elevating carbon intensity [4]. So a cold climate avoids that penalty. But the U.S. footprint study found that the carbon footprint of a data center is dominated by the electricity source, not just the cooling load [1]. If the cold region's grid is fossil-fuel-heavy, the carbon savings from cooling may be offset by high grid emissions.
Nuclear plants offer low-carbon, steady power, which is attractive for the 24/7 operation of data centers. However, the evidence here is indirect: no study in this set directly compared nuclear versus other low-carbon sources for data centers. The water footprint study notes that power plants (including nuclear) are often located in water-stressed regions, and nearly half of data center servers are powered by such plants [1]. So while nuclear avoids carbon, it may still contribute to water stress. The environmental justice paper adds another dimension: data centers can raise utility costs for local communities and strain grids [5]. A nuclear plant location might already have grid capacity, but the community impact must be considered.
About These Sources
This answer is built on 5 peer-reviewed studies — published from 2021 to 2026, 2 from 2024 or later, 1 in Q1 journals, collectively cited 222 times — selected as the most relevant from 5 studies that passed quality screening, drawn from 73 papers retrieved from a database of over 500 million.
Sources used in this answer
The environmental footprint of data centers in the United States
This is the most comprehensive U.S.-scale study of data center carbon and water footprints; it found that one-fifth of servers' direct water use comes from water-stressed watersheds, and nearly half are powered by plants in water-stressed regions, highlighting the need to balance both footprints when siting.
An energy and carbon-aware algorithm for renewable energy usage maximization in distributed cloud data centers
Proposed an algorithm for virtual machine placement that achieved 73.11% renewable energy utilization with only 0.2% service-level agreement violations, demonstrating that high renewable use is technically feasible without performance loss.
Data Centers and Green Energy: Paving the Way for a Sustainable Digital Future
Explored the feasibility of transitioning U.S. data centers to green energy sources, concluding that aligning data center growth with renewable energy capacity is a viable path to reduce environmental impact.
Environmental Impact of AI Data Centers in Kuwait
Examined AI data centers in Kuwait and found that extreme heat, limited freshwater, and an oil-dependent grid create a fragile energy-water-carbon nexus, with cooling demands and carbon intensity significantly magnified in hot, arid regions.
The Environmental Justice and Community Impacts of Data Centers
Highlighted that the environmental justice and community impacts of data centers—such as rising utility costs and grid strain—are rarely discussed but are critical considerations for responsible siting.
