AI Data Centers Face Increasing Complaints About Inaudible but 'Felt' Infrasound
Arthur T Knackerbracket writes:
Data center projects have faced resistance from residents and communities over their impact on power prices, but another complaint is being raised more frequently - noise pollution. One form of sound pollution is called infrasound, which is inaudible to humans but can be felt, and some claim it causes headaches, insomnia, nausea, and anxiety. Then there's the normal garden-variety sound pollution. The Environmental and Energy Study Institute (EESI), a non-profit organization, said that high- and low-frequency sounds emitted by these industrial sites can be heard and felt for hundreds of feet in surrounding areas, with noise levels reaching as high as 96dB for 24 hours a day and seven days a week.
Infrasound is another complaint that researchers are studying. Heatmap Plus reports that this is the phenomenon of frequencies so low they're inaudible to humans. Nevertheless, some people can feel it, and there have been claims linking them to various negative health effects such as headaches, insomnia, nausea, and anxiety. Infrasound and its effects need further study, but it's one of the issues local governments have been raising as they place a moratorium on data center projects. [...]
Normal noise pollution remains an issue, and communities living near off-grid data centers that generate their own power have it the worst. These sites generate their own power, typically using natural-gas-powered turbines - essentially jet engines bolted to the floor and used to turn generators that produce electricity. Aside from pollution concerns, such as those raised by residents around Elon Musk's Colossus Supercomputer, which used over 30 mobile gas turbines for power, these turbines can be as loud as a passenger jet, making the site sound as loud as an airport. What's worse is that, unlike backup generators, which only operate occasionally, these machines run continuously, meaning nearby communities will lose the peace of the neighborhood as long as these data centers operate.
[...] The United States does not lack flat, open land away from population centers on which to build data centers. However, AI hyperscalers prefer to locate their campuses near existing infrastructure so they don't have to spend massive amounts of time and resources building everything from scratch. A few data centers are being built on former industrial sites, like shuttered factories and abandoned paper mills, but there are not enough of these around for the number of projects being proposed and built. As the negative effects of building these sites too close to population centers are slowly being revealed, we expect opposition to these projects to keep increasing.
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