The environmental burden of the United States’ bitcoin mining boom
Gianluca Guidi,
Francesca Dominici (),
Nat Steinsultz,
Gabriel Dance,
Lucas Henneman,
Henry Richardson,
Edgar Castro,
Falco J. Bargagli-Stoffi and
Scott Delaney
Additional contact information
Gianluca Guidi: Harvard T.H. Chan School of Public Health
Francesca Dominici: Harvard T.H. Chan School of Public Health
Nat Steinsultz: WattTime
Gabriel Dance: The New York Times
Lucas Henneman: George Mason University
Henry Richardson: WattTime
Edgar Castro: UCLA Fielding School of Public Health
Falco J. Bargagli-Stoffi: Harvard T.H. Chan School of Public Health
Scott Delaney: Harvard T.H. Chan School of Public Health
Nature Communications, 2025, vol. 16, issue 1, 1-10
Abstract:
Abstract Bitcoin mines—massive computing clusters generating cryptocurrency tokens—consume vast amounts of electricity. The amount of fine particle (PM2.5) air pollution created because of their electricity consumption and its effect on environmental health is pending. In this study, we located the 34 largest mines in the United States in 2022, identified the electricity-generating plants that responded to them, and pinpointed communities most harmed by Bitcoin mine-attributable air pollution. From mid-2022 to mid-2023, the 34 mines consumed 32.3 terawatt-hours of electricity—33% more than Los Angeles—85% of which came from fossil fuels. We estimated that 1.9 million Americans were exposed to ≥0.1 μg/m3 of additional PM2.5 pollution from Bitcoin mines, often hundreds of miles away from the communities they affected. Americans living in four regions—including New York City and near Houston—were exposed to the highest Bitcoin mine-attributable PM2.5 concentrations (≥0.5 μg/m3) with the greatest health risks.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-025-58287-3 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-58287-3
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-025-58287-3
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().