About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
|
| Symposium
|
17th Symposium on Green and Sustainable Technologies for Materials Manufacturing and Processing
|
| Presentation Title |
AI Data Centers Powered by Small Modular Reactors and Additive Manufacturing |
| Author(s) |
Bai Cui, Lanh Trinh |
| On-Site Speaker (Planned) |
Bai Cui |
| Abstract Scope |
Data centers will consume 9% of U.S. electricity generation annually by 2030 according to the Electric Power Research Institute. There are two energy-related challenges for building AI data centers with a greater capacity: a shortage of electricity and the need to reduce carbon emissions. Small modular reactors (SMRs) may solve both issues by co-location with data center campuses. Compared to the traditional full-scale nuclear energy plants, SMRs have advantages such as smaller physical footprints and reduced capital investment. Many companies are developing SMR technology for commercial launching in the late 2020s. This presentation will outline the new R&D opportunities along with our research in SMRs and additive manufacturing (AM) for AI data center infrastructures, with the aim of increasing the data center efficiency and reducing the deployment time and manufacturing cost. These AI data centered powered by nuclear energy may create new economic opportunities for the Great Plains. |