Data centers and crypto could hike power costs by 57% by 2030

· Source: Dataconomy · Field: Energy & Utilities — Energy Markets & Policy, Cloud Computing & IT Infrastructure, Environmental Science & Earth Systems · Depth: Novice, quick

Summary

New research from North Carolina State University, Carnegie Mellon University, the University of Pittsburgh, and the University of Toronto predicts significant increases in U.S. electricity costs and CO2 emissions by 2030. The study, published in Environmental Research Letters, forecasts that electricity demand from data centers and cryptocurrency mining could raise power costs in some regions by up to 57%, with a national average increase between 6% and 29%. This expansion is also projected to increase CO2 emissions by as much as 28% by 2030 compared to a scenario without data center growth. Researchers used computational modeling to analyze hourly energy supply and demand across 26 contiguous U.S. regions, identifying data center expansion as the primary driver. Price hikes are expected to be most severe in states like Virginia, Pennsylvania, and New York, with geographical concentration of data centers exacerbating the issue.

Key takeaway

For policymakers and utility executives planning future energy infrastructure, this research indicates your current strategies may be insufficient to mitigate rising electricity costs and CO2 emissions. You should urgently reassess near-term power generation plans, considering the significant impact of concentrated data center expansion. Ignoring these projections risks undermining decades of carbon reduction efforts and imposing substantial cost burdens on consumers by 2030.

Key insights

Data center and cryptocurrency expansion threatens to reverse U.S. power sector gains, driving up costs and CO2 emissions by 2030.

Principles

Method

Researchers utilized computational modeling to assess future power demand from data centers and cryptocurrency through 2030, analyzing energy supply and demand hourly for 26 U.S. regions.

In practice

Topics

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.