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I had a lovely time in Columbus, Ohio yesterday (August 27, 2026), doing a keynote for the Ohio Manufacturers' Association annual energy conference.
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By Jonathan Koomey, Zachary Schmidt, Karl Hausker, Holmes Hummel, and John Weyant Researchers and practitioners participating in the seventh assessment cycle of the Intergovernmental Panel on Climate Change (IPCC) can now rely on updated scenario decompos…
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The continued expansion of the global data center industry has drawn increasing attention to onsite water use and the energy efficiency of infrastructure (which is linked to water used in cooling) [1].
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For more than a decade, since my old friend Richard Hirsh and I wrote this article for the Electricity Journal (Hirsh and Koomey 2015), we've compiled Energy Information Administration data every year to track recent developments for the US.
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My talk, titled "A rapid tour of recent developments in solar, wind, batteries and enhanced geothermal power generation" summarizes recent progress with renewables.
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I’m proud to share a report we created in collaboration with Gridlab, released today, Monday March 23, 2026, 9am PT.
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On February 10th, Veolia and Microsoft released a report on AI and energy, water, and waste management.
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In the previous post, we announced our new Python package that helps modelers explore the key greenhouse gas emissions drivers in their scenarios.
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TLDR: Below you can download a new open-source python package for calculating and comparing key drivers of emissions using outputs from Integrated Assessment Models.
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With recent growth in the data center industry has come increasing scrutiny about direct water use in these facilities [1].
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This report is the result of a collaboration between Koomey Analytics and the Bipartisan Policy Center in Washington, DC.
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When we first created the Koomey.com site circa 2010, we used Tumblr, which was a capable blogging site.
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The modern data center lies at the heart of today’s digital global economy, performing computing tasks like e-commerce, communications, search, financial modeling, and artificial intelligence (AI).
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Our new article in Joule on data needs for understanding AI electricity use came out online today in Joule (link will be good until October 8, 2024).
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My friend and colleague Danny Cullenward and I were on KQED Forum this morning, talking about the environmental impacts of our digital lives.