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Machines
Special Issues
Estimation and Mitigation of Fatigue Damage for Wind Turbines
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Special Issue "Estimation and Mitigation of Fatigue Damage for Wind Turbines"

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electrical Machines and Drives".

Deadline for manuscript submissions: 20 January 2024 | Viewed by 754

Special Issue Editors

Dr. Guowei Qian

E-Mail Website1 Website2
Guest Editor
School of Ocean Engineering and Technology, Sun Yat-sen University, Zhuhai 10275, China
Interests: structural dynamics in wind turbines; wind turbine aerodynamics and wake effects; wind farm control; offshore wind turbine
Dr. Davide Astolfi

E-Mail Website
Guest Editor
Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy
Interests: wind power; wind turbines; renewable power generation; condition monitoring; fault diagnosis; control and monitoring; electrical systems; data analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wind energy is a low-carbon and resource-efficient sustainable technology and has seen rapid growth in the past decade. However, wind turbines are large, flexible structures with complex systems that work under very complicated environmental conditions. They suffer from cyclic loadings and vibrations which cause severe fatigue damage to the structure, reducing the structural service life and increasing the operation and maintenance cost. The further development of technologies to estimate and mitigate the fatigue damage of wind turbines needs proper experimental and numerical analysis and field assessment.

This Special Issue invites contributions that address fatigue problems in wind turbines. In particular, articles that describe new methodologies, analytical and numerical tools, and field test methods dealing with engineering problems are equally encouraged for publication. Potential topics include but are not limited to:

  • Wind, wake, and wave effects
  • Fatigue management by wind farm control
  • Fatigue mitigation by model predictive control
  • Data-driven/AI method
  • Fatigue damage measurement
  • Residual fatigue lifetime estimation
  • Local fatigue crack analysis
  • Fatigue properties of wind turbine material

Dr. Guowei Qian
Dr. Davide Astolfi
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. Machines is an international peer-reviewed open access monthly 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 2400 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

  • fatigue load estimation
  • fatigue design
  • fatigue mitigation
  • lifetime assessment
  • onshore wind turbines
  • offshore wind turbines

Published Papers (1 paper)

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Research

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Article
Unveiling Inertia Constants by Exploring Mass Distribution in Wind Turbine Blades and Review of the Drive Train Parameters
by
Angel Gaspar Gonzalez-Rodriguez
,
Juan Manuel Roldan-Fernandez
and
Luis Miguel Nieto-Nieto
Machines 2023, 11(9), 908; https://doi.org/10.3390/machines11090908 - 13 Sep 2023
Viewed by 242
Abstract
In studies of dynamic stability and power quality, it is necessary to know the values of the mechanical parameters determining the transient response of wind turbines. Their exact values are not as decisive as the power curve, but an inaccurate estimate can distort [...] Read more.
In studies of dynamic stability and power quality, it is necessary to know the values of the mechanical parameters determining the transient response of wind turbines. Their exact values are not as decisive as the power curve, but an inaccurate estimate can distort or even invalidate the simulation results. From a review of the literature, it has been found that, despite their importance, the values of inertia, stiffness and damping are hardly available for any turbine model. Another detected problem is the lack of confidence in the data origin. This article aims to solve the issue of the scarcity and unreliability of data on inertia, and gathers the information found on the remaining mechanical parameters. Available blade inertia values in kg · m2 are presented. Special treatment has been given to those providing the mass distribution along the blade span, for which the provided values of inertia have been compared with those obtained numerically, showing good matching. With this, different reliable relations are obtained that allow for the calculation of the turbine rotor inertia, based on the mass and length of the blade. When the center of gravity is also available, a very correlated expression (r2=0.975) is provided to obtain the inertia. The references to the stiffness and damping constant of the drive train, which are even more rare, will also be presented. In addition, the study includes a revision of gearboxes, generators and blade weight, according to their IEC-class and material. Full article
(This article belongs to the Special Issue Estimation and Mitigation of Fatigue Damage for Wind Turbines)
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