Advancements in Reactor Dynamics for Advanced Nuclear Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B4: Nuclear Energy".
Deadline for manuscript submissions: 15 May 2026
Special Issue Editor
Interests: nuclear energy; nuclear power instrumentation; control and operation; nonlinear control; high temperature gas-cooled reactor
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Reactor dynamics is a subject in nuclear science and technology focusing on the modeling, analysis, and adjustment of the transient behavior of nuclear reactors, being crucial for the safety, stability, and flexibility of advanced nuclear energy systems. The modeling is the basis of analyzing and adjusting, giving dynamic models of nuclear reactors by ordinary or partial differential equations governed by conservation laws of mass, momentum, and energy. The analysis necessary is to reveal the open-loop inherent features of reactor dynamics, such as passivity, controllability, and observability, indicating the requirement and objective of adjusting. Furthermore, adjusting the focus on closed-loop behavior is necessary to enhance stability and flexibility by feedback control and to indicate or predict anomalies by detection and diagnosis. The developing trends of reactor dynamics can be summarized as mining deeply and going widely. For mining deeply, some natural nonlinear dynamic characteristics, such as passivity and bifurcation, need to be further explored so as to explain sophisticated transient phenomena in practical engineering. For going widely, the rapidly developing artificial intelligence (AI) is extending the border of reactor dynamics, and a set of intelligent control, observation, and detection methods is springing up.
The Special Issue aims to present and disseminate the most recent advancements in reactor dynamics and their application in advanced nuclear energy systems. Topics of interest for publication include, but are not limited to, the following:
- Dynamical modeling of advanced nuclear energy systems such as small modular reactors, nuclear-renewable hybrid energy systems, and nuclear cogeneration plants;
- Analysis of open-loop dynamical characteristics, such as passivity, bifurcation;
- Nonlinear reactor control for guaranteeing global closed-loop stability;
- State-observation, parameter estimation, and model identification;
- Fault detection, diagnosis, and prognosis in reactor dynamics;
- AI in dynamical modeling, control, observation, estimation, identification, etc.
Dr. Zhe Dong
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- nuclear reactor
- dynamical modeling
- control
- observation
- estimation
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