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Nuclear core cooling system

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Context​

Model reduction of complex dynamic simulation of a nuclear core cooling system.

Input

Boundary conditions, system parameters

Output

The dynamic flow

Challenge​

  • This use case is not suitable for a convolutional approach.

  • The dynamic solution is living in a large dimensional space.

  • Classical compression methods (SVD) reduces the dimension space to 100 within a 1% error.

  • NeurEco reduces these 100 compression coefficients to 3 nonliear coefficients.

Results

  • Adagos’ dynamic simulation is unique on the market.

  • Real time simulation when the traditional simulation takes weeks.

  • This allows decision support in a critical context.

  • NeurEco is intensively used by Framatome.

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