Advances in Performance Evaluation for the Wind Power Generators
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A3: Wind, Wave and Tidal Energy".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 686
Special Issue Editors
Interests: wind turbine; superconducting applications devices; electromagnetic launch technologies for cold-launching systems; pulsed power systems (PPSs); digital twin
Special Issue Information
Dear Colleagues,
The wind power generation industry is experiencing rapid growth worldwide. With many countries, including the United States and Europe, expanding their investments in the renewable energy sector, the momentum of growth in the wind power generation industry is expected to accelerate even further. One of the biggest challenges facing the wind energy sector is the need to reduce the cost of energy. In addressing this issue, the development of large wind turbines has become a subject of great interest for the wind industry. Increasing the capacity of a single turbine enhances the energy density, improves the efficiency of the wind farm, and lowers the cost of support structures. However, without detailed design or operational experience, the impact of high current and flux densities on a generator cannot be fully understood. Performance evaluation can test the structural stability and magnetic field effects of the generator against magnetic fields and electromagnetic forces before integrating the generator into a wind power generation system.
This Special Issue aims to present and disseminate the most recent advances related to performance evaluation for wind power generators.
Topics of interest for publication include, but are not limited to, the following:
- Design and simulation techniques for wind power generators;
- Electromagnetic performance evaluation of generators;
- Mechanical performance evaluation of generators;
- Thermal performance evaluation of generators;
- Optimal design methodologies for wind power generators;
- Advanced evaluation methodologies for wind power generators;
- Grid integration studies for wind power generators;
- Reliability and maintenance for wind power generators;
- Artificial intelligence and machine learning studies for evaluating the performance of wind power generators;
- Digital twin for wind power generators;
- Output power forecasting for wind power generators.
Dr. Byeong-Soo Go
Dr. Seok-Ju Lee
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.
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Keywords
- wind power generator
- performance evaluation
- modeling
- analysis
- fabrication
- standard and new method
- condition diagnosis
- prediction
- forecasting
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Turbulent wakes of bluff bodies with different sicknesses
Authors: Martin Obligado
Affiliation: Grenoble INP, CNRS, LEGI, Université Grenoble Alpes, 1209 Rue de la Piscine, Gières, 38610, France
