Wind Turbine Performance: Design, Evaluation and Testing
A special issue of Wind (ISSN 2674-032X).
Deadline for manuscript submissions: 15 December 2024 | Viewed by 814
Special Issue Editor
Interests: renewable energies; wind turbines; computational fluid dynamics; heat transfer; heating ventilation and air conditioning systems
Special Issue Information
Dear Colleagues,
With the current global move to green energy, wind energy has proved to be a competitive source of reliable electrical power. However, with technological advances and increasing manufacturing capacities, other renewable sources may also be as competitive. Locations with great wind resources need to take advantage of the extraordinary potential of wind power to sustain reliable and economical solutions for green power. Therefore, it is of utmost interest to focus on improving the performance of wind turbines at different stages including the design, implementation and testing, as well as evaluation and performance assessments. In addition to large-scale wind turbines, for sites that lack extended land for wind turbine implementation, small-scale wind turbines can be a great energy source for the household scale. This will imply changes in design, testing and evaluation procedures to improve these wind turbines’ performance.
To answer the above-mentioned issues, we introduce the following Special Issue, entitled “Wind Turbine Performance: Design, Evaluation and Testing”, to discuss how to improve the performance of the new generation of wind turbines from different points of view including design, testing and assessment of performance to overcome any potential problems.
The purpose of the Special Issue is to gather and publish the new research and development authored by worldwide researchers working on improving wind turbines in all aspects. The publications will impact academic, industrial and political stakeholders.
Topics of interest include, but are not limited to, the following:
- Design of wind turbine components such as blades, rotors, towers, etc.;
- Design specifications of different scale wind turbines including large-scale, medium-scale, small-scale and micro-scale;
- Optimization techniques in design;
- Wind tunnel testing, full-scale field testing and numerical simulations;
- Design and performance assessment including but not limited to algorithmic techniques such as machine learning and neural artificial networks;
- Data-driven monitoring and evaluation;
- Statistical approaches and risk assessments;
- Wind turbines’ performance improvement.
Dr. Samah Ben Ayed
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. Wind is an international peer-reviewed open access quarterly 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 1000 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
- performance improvement
- wind turbine design
- wind tunnel testing
- field testing
- performance evaluation
- risk assessment
- data analysis
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