Computational Fluid Dynamics (CFD) Simulations for Fusion Reactors
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 3525
Special Issue Editor
Special Issue Information
Dear Colleagues,
It is widely recognized that the development of energy from nuclear fusion is entering a new era. The ITER experiment should start operating in this decade, and various efforts are quickly proceeding to the design of a demonstration fusion reactor, expected to show the production of electricity in the second half of the century. Additionally, energy companies are starting to consider nuclear fusion as a goal close enough to attract private investors. In short, we are in the process of transforming a purely scientific process into a mixed scientific/economical project with exciting development perspectives.
In this framework, it will be critical to develop computational tools including the most advanced scientific knowledge and, at the same time, compliant with industry-standard software quality criteria. Such a process is currently starting. We hope that this Special Issue will help to bring together experiences and points of view on the development of CFD software for the upcoming generation of fusion devices, and to stimulate constructive discussion and collaboration among researchers in the field. The issue will focus on the following topics:
- Turbulence models in CFD codes for fusion applications;
- Software quality assurance in CFD codes in the fusion community;
- Validation of fusion computational models and benchmark with experimental data;
- Application of artificial intelligence techniques in connection with CFD software;
- Inter-relation with non-standard CFD techniques (Monte Carlo, particle in cell, gyro-kinetic, etc.);
- Prediction of a fusion reactor environment: what can be done and what is still missing.
Authors are invited and welcome to submit original research papers, reviews, and short communications.
Prof. Fabio Subba
Guest Editor
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Keywords
- Tokamaks
- Nuclear fusion
- Plasma physics
- Transport
- Turbulence
- Monte Carlo
- Verification and validation
- Gyro-kinetic modeling
- Particle-in-cell modeling
- Artificial Intelligence
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