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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Lopez Garcia, OscarAuthorGallego Castillo, Cristobal JoseAuthorAvila Sanchez, SergioAuthorCuerva Tejero, AlvaroAuthorFernandez-Aldama R, Lopez-Garcia O, Cuerva-Tejero A, Gallego-Castillo C, Avila-Sanchez SAuthor

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Proceedings Paper

A comparison of vortex shedding models applied to wind turbine tower dynamics

Publicated to:Aip Conference Proceedings. 3030 (1): - 2024-03-14 3030(1), DOI: 10.1063/5.0193302

Authors: Fernandez-Aldama R; Lopez-Garcia O; Cuerva-Tejero A; Gallego-Castillo C; Avila-Sanchez S

Affiliations

Abstract

A wide variety of models have been proposed to assess the effect of vortex shedding loads on the dynamics of bluff bodies. To the best of the authors' knowledge, a critical review of such models applied to wind turbine towers has not been carried out. A comparison is made in the present work of three well-known models, ranging from the simplest type A or forced system model, through type B or fluidelastic system model, to type C or coupled system model. Time-marching simulations are performed using classical modal analysis of an isolated wind turbine tapered tower subjected to a sheared and turbulent wind profile. Tower dynamics and vortex shedding-induced loads are limited to the cross-flow direction. Maximum tower top deflections are presented in the comparison, and a sensitivity analysis to type C parameters is performed. The results provide a comparison of the qualitative differences of the different modelling levels applied to a wind turbine tower. Further development of type C models seems to be a promising path to be used in the wind energy community to assess vortex-induced vibrations of wind turbine towers.

Keywords

Affordable and clean energy

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Aip Conference Proceedings, Q4 Agency Scopus (SJR), its regional focus and specialization in Physics and Astronomy (Miscellaneous), give it significant recognition in a specific niche of scientific knowledge at an international level.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-07:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 2.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 6 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 0.5.
  • The number of mentions on the social network X (formerly Twitter): 2 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/86751/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 28
  • Downloads: 1
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 7 - Affordable and clean energy, with a probability of 86% according to the mBERT algorithm developed by Aurora University.

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (FERNÁNDEZ DE ALDAMA, RICARDO) .