Wind Energy and Wind Turbine System

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: 30 May 2024 | Viewed by 2674

Special Issue Editors


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Guest Editor
Faculty of Engineering and Physical Sciences, University of Southampton Malaysia Campus, Iskandar Puteri 79100, Johor, Malaysia
Interests: renewable energy; wind energy; wind turbine; product design and manufacturing; computational fluid dynamics

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Guest Editor
Solar Energy Research Institute, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
Interests: wind energy; wind turbine; solar energy; solar thermal; computational fluid dynamics; renewable energy technology

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Guest Editor
Faculty of Science and Technology, Norwegian University of Life Sciences, Elizabeth Stephansens v. 15, 1430 Ås, Norway
Interests: computational fluid dynamics; computational mechanics; modeling and simulation; offshore wind turbines
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Special Issue Information

Dear Colleagues,

The use of fossil fuels for electricity generation has led to serious environmental problems. As an alternative solution, renewable energy has started to attract a great deal of attention. Wind energy is popular among renewable energies because it is abundant, clean, inexhaustible, and environmentally friendly. Wind turbines have been ingeniously engineered to harness wind energy in agriculture for irrigation and crop grinding for centuries.

The purpose of this Special Issue is to collect the latest research and cutting-edge technology to facilitate the exchange of innovative ideas regarding wind energy and wind turbine systems among academicians, engineers, scientists, and practitioners. Of interest is newly developed, innovative, and advanced techniques for wind power generation and wind turbine systems.

We welcome theoretical, experimental, and simulation works on wind energy and wind turbines. This Special Issues invites the submission of reviews, original research articles, mini reviews, and data reports. Topics of interest for publication include but are not limited to the following:

  • Advances in wind turbine rotor design;
  • Computational fluid dynamics analysis;
  • Horizontal-axis wind turbines;
  • Innovation in wind turbine systems;
  • Numerical and analytical analysis;
  • Onshore and offshore wind turbines;
  • Urban wind turbines;
  • Vertical-axis wind turbines;
  • Wind energy forecasting and prediction;
  • Wind farms and the interaction of wind turbine arrays;
  • Wind turbine aerodynamics and aeroelasticity;
  • Wind–wake interaction of turbine rotors.

Dr. Kok-Hoe Wong
Dr. Ahmad Fazlizan
Dr. M. Salman Siddiqui
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. Applied System Innovation 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 1400 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.

Published Papers (1 paper)

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Research

11 pages, 12103 KiB  
Article
Power Curve Modeling of Wind Turbines through Clustering-Based Outlier Elimination
by Chunhyun Paik, Yongjoo Chung and Young Jin Kim
Appl. Syst. Innov. 2023, 6(2), 41; https://doi.org/10.3390/asi6020041 - 15 Mar 2023
Cited by 2 | Viewed by 1915
Abstract
The estimation of power curve is the central task for efficient operation and prediction of wind power generation. It is often the case, however, that the actual data exhibit a great deal of variations in power output with respect to wind speed, and [...] Read more.
The estimation of power curve is the central task for efficient operation and prediction of wind power generation. It is often the case, however, that the actual data exhibit a great deal of variations in power output with respect to wind speed, and thus the power curve estimation necessitates the detection and proper treatment of outliers. This study proposes a novel procedure for outlier detection and elimination for estimating power curves of wind farms by employing clustering algorithms of vector quantization and density-based spatial clustering of applications with noise. Testing different parametric models of power output curve, the proposed methodology is demonstrated for obtaining power curves of individual wind turbines in a Korean wind farm. It is asserted that the outlier elimination procedure for power curve modeling outlined in this study can be highly efficient at the presence of noises. Full article
(This article belongs to the Special Issue Wind Energy and Wind Turbine System)
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