A Bayesian Neural Network (BNN) Machine Learning (ML) Surrogate Modelling Framework for High-Fidelity Thermal Fatigue Modelling of Components

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Title
A Bayesian Neural Network (BNN) Machine Learning (ML) Surrogate Modelling Framework for High-Fidelity Thermal Fatigue Modelling of Components
CoPED ID
d63c52aa-74c3-45d7-91d5-5bf199c15631
Status
Active
Funder
EPSRC
Value
No funds listed.
Start Date
Sept. 30, 2021
End Date
Sept. 29, 2025
Description

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National energy grid and power distribution infrastructure, within developed and developing countries, are currently undergoing significant modification to produce so-called smart grid infrastructure. In these smart grids there will be a mixture of dynamically evolving or intermittent renewable energy supply augmented by a proportion of base-load electrical power. There is a widespread misconception that nuclear power plants (NPPs) can only provide relatively inflexible base-load power to any national energy grid networks. However, this is significantly affecting the long-term prospects of the nuclear sector's role in delivering cost effective electrical power within the more heterogeneous and mixed power generation environment that is evolving around the world. Increasing electrical power generation is being dominated by intermittent renewable energy forms. Nuclear power generation will need to adapt to this new smart grid infrastructure.

Michael Bluck SUPER_PER
Ethan Wong STUDENT_PER

Subjects by relevance
  1. Electrical power networks
  2. Smart grids
  3. Renewable energy sources
  4. Infrastructures
  5. Electric power
  6. Production of electricity
  7. Distribution of electricity
  8. Nuclear energy
  9. Energy
  10. Power plants
  11. Energy production (process industry)

Extracted key phrases
  1. Nuclear power generation
  2. Electrical power generation
  3. Load electrical power
  4. Nuclear power plant
  5. Cost effective electrical power
  6. Mixed power generation environment
  7. Power distribution infrastructure
  8. Bayesian Neural Network
  9. National energy grid network
  10. Surrogate Modelling Framework
  11. Fidelity Thermal Fatigue Modelling
  12. Load power
  13. National energy grid
  14. New smart grid infrastructure
  15. Intermittent renewable energy supply

Related Pages

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