Advanced Wind Energy Systems: Comprehensive Insights into Analysis, Design, Control, and Optimization—2nd Edition
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: 5 November 2026 | Viewed by 1949
Special Issue Editor
Interests: renewable energy systems; design, operation, manufacturing, and maintenance of wind energy systems; adaptive wind turbine blades; energy production and mitigate loads optimization; societal and environmental phenomena; microgrids; technical, societal, and economic aspects of rural electrification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In this era of advanced wind energy systems, the dominant presence of wind turbines on our landscapes signifies more than just a shift towards cleaner energy. They stand as beacons of modern advancements in design, control, analysis, and optimization. This progression is not limited to the vast stretches of traditional onshore farms but also spans to offshore behemoths, urbanized wind solutions, and elevated wind energy mechanisms. The integration of sophisticated aerodynamic models, innovative design strategies, and refined control mechanisms has culminated in wind turbines that boast unparalleled efficiency, tenacity, and versatility. Alongside this, the diversification of their deployment across varying terrains and conditions has intensified research on their monitoring, longevity, and fault tolerance, leading to the inception of turbines that are increasingly intelligent and durable.
With this Special Issue, we aim to curate and distribute the most contemporary breakthroughs concerning the design, optimization, application, control, and health monitoring of wind energy systems.
Areas that are particularly compelling for publication include, but are not limited to, the following:
- High-fidelity, efficient aerodynamic models for wind turbines;
- Socioeconomic considerations in wind energy deployment and management;
- AI and machine learning in wind turbine design and predictive control;
- Digital twins for real-time turbine performance monitoring;
- Ecodesign principles for sustainable wind turbine lifecycle;
- Additive manufacturing for turbine component enhancement;
- Topology optimization for peak turbine efficiency;
- Integrated design approaches emphasizing total turbine optimization;
- IoT in turbine design for real-time data and adaptive operation;
- Cloud-based tools for turbine modeling and optimization.
Your insights, research, and innovations in these domains would greatly enrich this collaborative endeavor. Collectively, we can continue to propel wind energy into the zenith of its potential.
Dr. John Hall
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 250 words) can be sent to the Editorial Office for assessment.
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
- wind energy
- wind turbines
- aerodynamic
- onshore and offshore wind farms
- AI and machine learning
- modeling and optimization
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