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PNNL, Microsoft pair AI and supercomputing in PR100 study; presenters say it outlines a pathway to 100% renewables by 2050

December 27, 2024 | Pacific Northwest National Laboratory, Office of Science, Department of Energy (DOE), Executive, Federal


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PNNL, Microsoft pair AI and supercomputing in PR100 study; presenters say it outlines a pathway to 100% renewables by 2050
Speakers at a Pacific Northwest National Laboratory event said the lab is partnering with Microsoft to apply artificial intelligence and high-performance computing in the cloud to accelerate materials and energy research. Presenter (S1) said the partnership aims to narrow millions of potential materials combinations to a much smaller set within months.

Presenter (S3) said the PR100 study has been underway for two years and that the work has produced a product that, according to Presenter (S4), "confirms that we can achieve the goal of a 100% renewable energy by 2050." The claim was presented as the study's conclusion during remarks at the dedication; no formal report or supporting data were released in the remarks captured in the transcript.

The presenters described laboratory capabilities intended to support the effort. Presenter (S2) introduced the ARIES Lab and said "Shape 2" is a second-generation automated platform that can extrude larger or more complex components. Presenter (S4) described a new energy storage research facility (the GSL) that will enable scientists and engineers to test storage approaches at scale.

Presenter (S3) also said the organization collects a very large volume of data and that teams are using "bioinform machine learning" and data operations tools to support analysis, a point Presenter (S3) framed as a unique resource for accelerating discovery. The transcript contains the claim that the organization "collects probably more data than almost anybody else on the planet," which was presented without supporting evidence in the recorded remarks.

The speakers emphasized multidisciplinary collaboration: Presenter (S9) said the project brings together experts in machine learning, climatology and electrical-grid engineering, and Presenter (S10) said the effort also involves social scientists, data scientists and economists to understand impacts on different sectors and communities.

No formal funding amounts, regulatory approvals or publishing timelines were provided in the transcript. Presenters said the work has been ongoing for roughly two years; the remarks did not record a formal report release or independent verification of the PR100 study's conclusion. The event concluded as a public dedication and presentation, with no recorded motions or votes related to the research described.

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