Advanced in Simulation and Applications of High-Performance Turbomachinery

Dear Colleagues,

Turbomachinery plays a pivotal role in various energy-related sectors, from power generation and aerospace to automotive industries. In the context of the current energy transition, the optimization of turbomachinery components, including compressors, turbines, and pumps, holds high strategic significance. This optimization is indispensable for bolstering energy efficiency and safeguarding environmental sustainability. Computational fluid dynamics (CFD) simulations have become indispensable in analyzing, designing, and optimizing turbomachinery systems.

This Special Issue aims to showcase recent advancements, challenges, and innovations in simulations for energy-focused turbomachinery applications. Topics of interest include, but are not limited to, the following:

1. Advanced numerical methods and algorithms for simulating complex flow phenomena in high-performance turbomachinery.
2. Multi-disciplinary simulations for integrating fluid dynamics with structural, thermal, or acoustic analyses to enhance energy performance.
3. High-fidelity simulations for capturing flow instabilities, unsteady phenomena, and transient operations in turbomachinery.
4. Simulation-driven design optimization techniques for improving energy efficiency, reliability, and performance of turbomachinery components.
5. Integration of simulations with experimental data for validation and verification purposes.
6. Applications of artificial intelligence, machine learning, and data-driven modeling in high-performance turbomachinery simulations.
7. Case studies demonstrating successful applications of simulations in addressing real-world energy-related turbomachinery engineering challenges.

Gas turbines, steam turbines, wind turbines, thermal dynamics, combustion, and compressors represent integral aspects within this Special Issue, given their substantial contributions to energy generation and utilization.

Researchers and practitioners are encouraged to submit original research articles, review papers, and case studies addressing the aforementioned topics. This Special Issue aims to foster discussions, share insights, and promote collaboration among academia, industry, and research institutions in advancing energy-focused turbomachinery simulations.

Dr. Davide Marsano
Dr. Carlo Cravero
Guest Editors

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.

• turbomachinery
• computational fluid dynamics (CFD)
• numerical simulations
• compressors
• gas turbines
• steam turbines
• wind turbines
• pumps
• thermal dynamics
• combustion
• high performance
• energy transition
• design optimization
• multi-disciplinary simulations
• unsteady flow
• transient operations
• flow instabilities
• artificial intelligence (AI)
• machine learning (ML)