Open access peer-reviewed Edited Volume

Advances in Fusion Energy Research - Theory, Models, Algorithms, and Applications

Bruno Carpentieri

Free University of Bozen-Bolzano

An academic researcher in applied mathematics, working in the field of computational modeling in electromagnetics, fusion energy, and engineering research. He is an editorial board member of the Journal of Applied Mathematics, an editorial committee member of Mathematical Reviews (American Mathematical Society), and a reviewer for about thirty scientific journals in numerical analysis. He has co-authored fifty publications in peer-reviewed scientific journals.

Covering

Magnetic Confinement Disruptions and Instabilities Electromagnetic Forces Plasma Transport Eddy Current Models Magnetohydrodynamic Equation Boundary Element Method Finite Element Method ITER Experiments Fluid and Transport Materials Science Engineering Applications

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About the book

Fusion power can make an enduring contribution to future energy supply as it offers benefits of both renewable and resource-limited energy sources. However, several challenges still need to be faced and solved until fusion energy may become a commercial reality. The extreme temperatures and strong magnetic fields inside a nuclear fusion reactor can make the power generation process highly prone to several instabilities. An important concern is the risk of disruptions due to sudden changes in plasma positions during plasma instabilities, resulting in the generation of eddy currents on interaction with the induced currents. Materials need to have extremely high heat tolerances and low enough vapor pressure to reduce plasma contamination. The future of nuclear fusion as an efficient alternative energy source depends largely on techniques that enable us to control these instabilities.

Modeling and experiments attempt to overcome some of the hindrances posed by these complexities. Measurements of eddy currents are essential to design a mechanical structure that can withstand the electromagnetic force generated. It requires a detailed description of the nuclear reactor, leading to extremely demanding computational models. The design of a feedback controller to measure and counteract the unstable modes of evolution of the plasma requires rather accurate response models of the overall system plasma plus conductors.

This book intends to provide the reader with a rather comprehensive overview of the current state-of-the-art in this fascinating and critically important field of physics and engineering, presenting some of the most recent developments of the last years relating to theory, modeling, algorithms, experiments, and applications.
 

Publishing process

Book initiated and editor appointed

Date completed: February 11th 2022

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: June 18th 2022

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: September 6th 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: November 5th 2022

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Bruno Carpentieri

Free University of Bozen-Bolzano

Bruno Carpentieri obtained a laurea degree in Applied Mathematics in 1997 from Bari University, Italy. He obtained a Ph.D. in Computer Science from the Institut National Polytechnique de Toulouse (INPT), France. After some post-doctoral experiences, Dr. Carpentieri served as an assistant professor at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, the Netherlands, and as a reader in Applied Mathematics at Nottingham Trent University, United Kingdom. Since May 2017, he has been an associate professor of Applied Mathematics at the Faculty of Computer Science, Free University of Bozen-Bolzano, Italy. His research interests include applied mathematics, numerical linear algebra, and high-performance computing. Dr. Carpentieri has served on several scientific advisory boards in computational mathematics. He is an editorial board member of the Journal of Applied Mathematics, an editorial committee member of Mathematical Reviews (American Mathematical Society) and a reviewer for about thirty scientific journals in numerical analysis. He has co-authored fifty publications in peer-reviewed scientific journals.

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Book chapters authored 2

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