CAREER: A Multi-faceted Framework to Enable Computationally Efficient Evaluation and Autom — NSF Award to Missouri University of S
This NSF CAREER project aims to improve the computational efficiency of economics driven transmission planning for electric power systems by up to three orders of magnitude, in order to transform lengthy planning processes toward an agile process and prepare the US power grids for rapidly changing energy and policy lan
| Award title | CAREER: A Multi-faceted Framework to Enable Computationally Efficient Evaluation and Autom |
|---|---|
| Award ID | 2339956 |
| Awardee | Missouri University of Science and Technology |
| City | ROLLA |
| State | MO |
| Amount obligated | $500,000 |
| Principal investigator | Rui Bo |
| Program | EPCL: Energy, Power, Control, |
| Start date | 09/01/2024 |
| Abstract | This NSF CAREER project aims to improve the computational efficiency of economics driven transmission planning for electric power systems by up to three orders of magnitude, in order to transform lengthy planning processes toward an agile process and prepare the US power grids for rapidly changing energy and policy landscape. The project will bring transformative change in the fundamental methods and computational tools for the design and evaluation of electric power transmission system planning |
| Source | NSF Awards |
$799/mo
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