Data centers impact the health and energy costs of surrounding communities
Data centers significantly impact surrounding communities by affecting air quality through fossil fuel emissions, straining water resources for cooling, generating persistent noise, converting green spaces through land use changes, and increasing electricity costs for residents. These impacts are particularly pronounced in Northern Virginia, including Loudoun and Prince William Counties. The authors, from George Mason University, advocate for better planning and design, including increased renewable energy use and efficient cooling systems, to mitigate these health and environmental concerns.
Neha Gour, Ed Maibach, and Luis Ortiz from George Mason University published a commentary detailing how data centers, which are rapidly expanding due to AI and cloud computing, significantly impact the health and energy costs of surrounding communities. The United States hosts over 4,000 data centers, with Virginia alone having over 600, two-thirds of which are concentrated in the northern Virginia suburbs of Washington, D.C.
The researchers identified five main areas of impact: air quality, water quality, noise levels, land use, and energy costs. Data centers' immense electricity consumption contributes to air pollution and greenhouse gas emissions, especially when powered by fossil fuels. They also demand vast quantities of water for cooling, with potable water use by data centers in Loudoun County more than doubling between 2019 and 2023. Continuous operation generates a persistent humming noise that, while not violating current ordinances, can disrupt residents' sleep and quality of life. Furthermore, data center expansion often targets rural or green spaces, like Prince William County's Rural Crescent, transforming them into industrial zones and increasing truck traffic and associated health risks. A 2024 Virginia legislative report projected residential electricity bills could rise by $14 to $37 per month by 2040 due to data center growth, disproportionately affecting lower-income families.
The authors suggest mitigation strategies such as increasing renewable energy sources, using recycled water in targeted cooling systems, reengineering fan mounts to reduce noise (as demonstrated by a Leesburg, Virginia data center), and requiring large-scale data centers to cover more of the grid costs they create. They emphasize that expanding digital infrastructure without protecting community health is an unacceptable approach.