Advanced Methods for the Design and Optimization of Turbomachinery
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 142
Special Issue Editors
Interests: aerodynamic design of turbomachinery (aerodynamic design of fan, compressor, turbine, steam turbine); numerical simulation and optimization of turbomachinery (steady and unsteady numerical simulation and performance optimization); aerodynamic design and numerical simulation of wind turbines (aerodynamic design and analysis of airfoil and blade)
Interests: turbomachinery; aerodynamic optimization design; geometric parameterization; computational fluid dynamics
Special Issue Information
Dear Colleagues,
Turbomachinery is widely applied in the field of energy and power. The continuous improvement of turbomachinery performance plays a vital role in developing high-efficiency thermal cycles and renewable energy technologies. However, conventional design approaches, which rely heavily on empirical expertise, are increasingly inadequate to meet the high-performance requirements of advanced turbomachinery. There is a necessity to explore the latest advancements and challenges in the field of turbomachinery design and optimization.
This Special Issue aims to present and disseminate the most recent advances related to advanced methods for the design and optimization of all types of turbomachinery.
Topics of interest for publication include, but are not limited to, the following:
- Advanced blade design and optimization approaches;
- Aerodynamic and multidisciplinary optimization of turbomachinery;
- Integrated design and manufacturing of turbomachinery;
- Artificial intelligence-assisted design of turbomachinery;
- Digital twin technologies for turbomachinery design;
- Innovative turbomachinery design for renewable energy technologies;
- Turbomachinery aerothermodynamics in advanced thermal cycles.
We cordially invite researchers to proactively submit their scholarly contributions, thereby expanding the frontiers of current knowledge and proposing innovative methodologies to address the complex challenges inherent in advanced methods for the design and optimization of turbomachinery. This Special Issue is envisioned as a catalyst for profound discourse and collaborative engagement between academic and industrial sectors, with the collective aim of propelling the evolutionary trajectory of turbomachinery technology into the future.
Dr. Jiang Chen
Dr. Hang Xiang
Dr. Jinxin Cheng
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.
Keywords
- turbomachinery
- aerodynamic design and optimization
- multidisciplinary optimization
- integrated design and manufacturing
- artificial intelligence
- digital twin
- renewable energy
- low-altitude economy
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