Bibliometrix applied to computational simulation for wind generator

Authors

DOI:

https://doi.org/10.21712/lajer.2024.v11.n2.p119-134

Keywords:

bibliometry, wind turbine, numerical study, aerodynamic optimization, renewable energy

Abstract

This study presents a comprehensive bibliometric analysis of computational simulations in wind turbine projects, addressing their pivotal role amid growing demands for renewable energy and engineering project optimization. The primary objective is to discern trends, focal areas, and global collaboration networks.
Utilizing Scopus and Web of Science databases, supported by CAPES, all pertinent publications on computational simulations in wind turbine projects were scrutinized. Bibliometric metrics were analyzed using the bibliometrix library in R.
Findings reveal a increase in publications since 2022, particularly in aerodynamic optimization and offshore projects. Leading contributors are universities, research centers across Europe, North America, and prominently China. Co-authorship networks underscore significant collaborations among global academic institutions. Key terms such as "computational modeling," "CFD (Computational Fluid Dynamics)," and "wind turbine" predominate in literature.
The analysis confirms the escalating significance of computational simulations in wind turbine projects, underscored by burgeoning publications and international partnerships. Integration of emerging technologies like artificial intelligence and machine learning into market practices is evident. This study serves as a foundational resource for future researchers and industry stakeholders, identifying promising avenues and areas necessitating further exploration.

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Author Biographies

  • Alexandre Sales Costa, Federal University of Ceará

    Student of the Renewable Energy Engineering Program, Department of Mechanical Engineering, Federal University of Ceará – UFC, Pici campus, CE, Brazil

  • Lara Albuquerque Fortes, Federal University of Ceará

    Student of the Renewable Energy Engineering Program, Department of Mechanical Engineering, Federal University of Ceará – UFC, Pici campus, CE, Brazil

  • Carla Freitas de Andrade, Federal University of Ceará

    Teacher, Department of Mechanical Engineering, Federal University of Ceará – UFC, Pici campus, CE, Brazil

  • Francisco Olímpio Moura Carneiro, University of International Integration of Afro-Brazilian Lusophony

    Teacher, Institute of Engineering and Sustainable Development, University of International Integration of Afro-Brazilian Lusophony - UNILAB, Auroras campus, CE, Brazil

  • Mona Lisa Moura de Oliveira, State University of Ceará

    Teacher Department of Physics, State University of Ceará - UECE, Itaperi campus, CE, Brazil

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Published

12/26/2024

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Vol. 11 No. 2 (2024)

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Energias de Baixo Carbono

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How to Cite

Viana, T. (2024) “Bibliometrix applied to computational simulation for wind generator”, Latin American Journal of Energy Research, 11(2), pp. 119–134. doi:10.21712/lajer.2024.v11.n2.p119-134.

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