Modeling and Simulation in Nuclear Energy

In summary, modeling and simulation, also known as computational physics/chemistry, plays a significant role in engineering, particularly in the field of nuclear energy. This involves the use of finite element methods and other techniques to analyze the behavior of nuclear plants, reactors, and fuel under various conditions. The US DOE Idaho National Laboratory (INL) has developed a set of codes for this purpose, similar to those developed by other institutions and countries. The OECD/NEA also offers a range of codes. A special issue of Nuclear Technology introduces the MOOSE Multiphysics Computational Framework for Nuclear Power Applications, which is open source and can be accessed on GitHub. However, access to the nuclear engineering modules may require registration and vetting. In addition, the
  • #1
Astronuc
Staff Emeritus
Science Advisor
2023 Award
21,910
6,335
Modeling and simulation, or computational physics/chemistry, is a large and important part of engineering. In nuclear energy, there are applications of finite element methods (and occasionally finite different or finite volume depending on the problem) applied to nuclear plants, nuclear reactors and nuclear fuel performance/behavior under normal, off-normal, and abnormal/transient conditions.

ANS's Nuclear Technology has a nice set of articles on some of the codes developed by US DOE Idaho National Laboratory (INL). Similar codes have been developed by other institutions and in other nations. OECD/NEA also provides a set of codes.

Nuclear Technology

Volume 207, 2021 - Issue 7: Special issue on the MOOSE Multiphysics Computational Framework

The first article introduces the MOOSE Multiphysics Computational Framework for Nuclear Power Applications: A Special Issue of Nuclear Technology
https://www.tandfonline.com/doi/full/10.1080/00295450.2021.1915487?src=recsys

It is currently open source.

Keyword: Multiphysics Object-Oriented Simulation Environment (MOOSE) framework
 
  • Like
  • Informative
Likes Fisherman199, Alex A, berkeman and 1 other person
Engineering news on Phys.org
  • #2
This is a cool thing, and the MOOSE framework is indeed open source and can be found here,
https://github.com/idaholab/moose

Sadly the nuclear engineering modules, even Sockeye that just does heat pipe modeling, are behind layers of your organisation must be registered with our organisation and we will vet your application individually and even then we probably won't give you source code access.

Meanwhile OpenMC does burnup calculations now and that is absolutely blowing my mind.
 
  • Like
Likes Fisherman199 and berkeman

1. What is modeling and simulation in nuclear energy?

Modeling and simulation in nuclear energy is the use of computer programs and mathematical equations to simulate and predict the behavior of nuclear systems. This allows scientists and engineers to understand and optimize the performance of nuclear reactors and other nuclear technologies.

2. Why is modeling and simulation important in nuclear energy?

Modeling and simulation is important in nuclear energy because it allows for the safe and efficient design, operation, and maintenance of nuclear reactors. It also helps to reduce costs and minimize risks associated with nuclear energy.

3. What types of models are used in nuclear energy?

There are various types of models used in nuclear energy, including deterministic and stochastic models, thermal-hydraulic models, and neutron transport models. These models can range from simple equations to complex computer simulations.

4. How are simulations validated in nuclear energy?

Simulations in nuclear energy are validated by comparing the results of the simulation to real-world data and experimental results. This helps to ensure that the simulation accurately represents the behavior of the nuclear system being studied.

5. What are the benefits of using modeling and simulation in nuclear energy?

There are several benefits of using modeling and simulation in nuclear energy, including cost savings, improved safety, increased efficiency, and reduced time for design and development. It also allows for the exploration of different scenarios and designs without the need for physical prototypes.

Similar threads

Replies
2
Views
3K
Replies
18
Views
8K
  • New Member Introductions
Replies
1
Views
369
  • Nuclear Engineering
Replies
2
Views
4K
Replies
8
Views
876
  • Poll
  • Science and Math Textbooks
Replies
2
Views
4K
  • Programming and Computer Science
Replies
14
Views
3K
Replies
8
Views
2K
  • STEM Academic Advising
Replies
2
Views
2K
Replies
10
Views
2K
Back
Top