Numerical Methods of Computational Fluid Dynamics in the Energy Field
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "K: State-of-the-Art Energy Related Technologies".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 66
Special Issue Editor
Interests: CFD; high-precision method; wind energy utilization; flow control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The global transition towards sustainable and efficient energy systems is one of the most critical challenges of our time. Computational Fluid Dynamics (CFDs) stands as an indispensable tool in this endeavor, providing unparalleled insights into the complex physical phenomena that underpin energy technologies. From optimizing the aerodynamic performance of wind turbine blades and enhancing heat transfer in concentrated solar power plants to managing complex combustion dynamics in next-generation engines and securing the safety of hydrogen storage systems, CFD is at the forefront of innovation. This Special Issue is dedicated to showcasing the latest breakthroughs in numerical methodologies that push the boundaries of what is possible in simulating, designing, and optimizing energy systems.
We seek original research and review articles that present significant advancements in numerical algorithms and their application to energy-related fluid flow problems. The scope includes, but is not limited to, the following detailed areas:
High-Fidelity Simulations and Advanced Turbulence Modeling：
Applications of Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS) to energy systems.
Data-driven and machine-learning augmented turbulence models (e.g., RANS closure, sub-grid scale modeling). Hybrid RANS-LES methods for industrially relevant problems.
Multiphysics Coupling and Multiphase Flows：
Tightly coupled simulations of fluid–structure interaction (FSI) in turbomachinery and flexible structures.
Conjugate heat transfer (CHT) for thermal management and heat exchanger design.
Modeling of reactive flows, combustion, and emissions formation.
Simulations of cavitation, particle-laden flows, and electrochemical processes in battery and fuel cell systems.
Artificial Intelligence and Data-Driven Methodologies：
AI-based surrogate modeling and model order reduction for rapid design optimization and uncertainty quantification.
Physics-Informed Neural Networks (PINNs) for solving governing equations and enhancing experimental data.
Reinforcement learning for active flow control and system operation optimization.
High-Performance Computing and Algorithmic Efficiency：
Novel discretization schemes (high-order methods, lattice Boltzmann methods) tailored for exascale computing architectures.
Algorithmic strategies for reducing computational cost while maintaining accuracy (adaptive mesh refinement, multi-fidelity approaches).
Scalable parallel computing techniques for large-scale industrial simulations.
We invite researchers from academia, national laboratories, and industry to submit their original work. Contributions can range from fundamental theoretical and algorithmic developments to applied industrial case studies that clearly articulate the practical significance and validation of the proposed methods. The ultimate goal of this Special Issue is to create a collaborative platform that bridges the gap between pioneering numerical research and the pressing needs of the global energy sector, thereby contributing to a more sustainable and efficient future.
Dr. Ming Zhao
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- computational fluid dynamics (CFDs)
- energy systems
- turbulence modeling
- renewable energy
- multiphase flows
- numerical optimization
- artificial intelligence
- high-performance computing
- multiphysics simulation
- sustainable energy
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