Seabrook
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
Furlong, Aidan, Alsafadi, Farah, Palmtag, Scott, Godfrey, Andrew, Wu, Xu
The development of Crud-Induced Power Shift (CIPS) is an operational challenge in Pressurized Water Reactors that is due to the development of crud on the fuel rod cladding. The available predictive tools developed previously, usually based on fundamental physics, are computationally expensive and have shown differing degrees of accuracy. This work proposes a completely top-down approach to predict CIPS instances on an assembly level with reactor-specific calibration built-in. Built using artificial neural networks, this work uses a three-dimensional convolutional approach to leverage the image-like layout of the input data. As a classifier, the convolutional neural network model predicts whether a given assembly will experience CIPS as well as the time of occurrence during a given cycle. This surrogate model is both trained and tested using a combination of calculated core model parameters and measured plant data from Unit 1 of the Catawba Nuclear Station. After the evaluation of its performance using various metrics, Monte Carlo dropout is employed for extensive uncertainty quantification of the model predictions. The results indicate that this methodology could be a viable approach in predicting CIPS with an assembly-level resolution across both clean and afflicted cycles, while using limited computational resources.
- North America > United States > California > San Francisco County > San Francisco (0.14)
- South America > Peru > Lima Department > Lima Province > Lima (0.04)
- North America > United States > Oklahoma > Payne County > Stillwater (0.04)
- (7 more...)
- Health & Medicine (1.00)
- Energy > Power Industry > Utilities > Nuclear (1.00)
'Can't tie our own hands': Presidential candidate warns an AI pause for US means 'China running with it'
Pausing AI development in the U.S. as China pushes forward in the sector does not alleviate the risks posed by the new technology, Vivek Ramaswamy said. SEABROOK, N.H. – Pausing artificial intelligence development in the U.S. while China continues to advance its own programs would create a risk to Americans, Republican presidential candidate Vivek Ramaswamy told Fox News. "A temporary pause amongst U.S. companies -- if China is actually running forward with it -- that doesn't do anything in alleviating the risks of AI," Ramaswamy said in an exclusive interview. "It exacerbates them because Americans are at an even greater risk instead." China's deployment of AI could pose threats to the U.S., Ramaswamy told Fox News.
- Asia > China (1.00)
- North America > United States > New Hampshire > Rockingham County > Seabrook (0.26)
- Government > Voting & Elections (1.00)
- Government > Regional Government (1.00)