Small Bottle, Big Pipe: Quantifying and Addressing the Impact of Data Centers on Public Water Systems
Yuelin Han, Pengfei Li, Adam Wierman, Shaolei Ren

TL;DR
This paper quantifies the significant water demand of U.S. data centers for cooling, highlighting potential capacity constraints on public water systems and proposing strategies for sustainable water and energy management.
Contribution
It provides a detailed analysis of data center water withdrawal impacts on U.S. water systems and offers actionable recommendations for sustainable management and policy development.
Findings
Data centers could require up to 1,451 MGD of new water capacity by 2030.
Water demand could be comparable to New York City's daily supply.
Implementing water use reductions can significantly decrease capacity needs.
Abstract
Water is a critical resource for data centers and an efficient means of cooling. However, meeting the growing water demand of data centers requires substantial peak water withdrawals, which many communities in the United States cannot supply, especially during the hottest days of the year. This largely overlooked water capacity constraint is emerging as a bottleneck for data centers and can force operators to rely on less efficient dry cooling, further stressing the power grid during summer peaks. In this paper, we focus on the direct water withdrawal of U.S. data centers for cooling and examine their impacts on public water systems. Our analysis indicates that, if the 2024 water use intensity persists, U.S. data centers could collectively require 697-1,451 million gallons per day (MGD) of new water capacity through 2030, comparable to New York City's average daily supply of roughly…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWater-Energy-Food Nexus Studies · Water resources management and optimization · Environmental Impact and Sustainability
