Bibliometrix applied to computational simulation for wind generator

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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Publication Details

Journal
Latin American Journal of Energy Research
Published
2024-12-26
DOI
https://doi.org/10.21712/lajer.2024.v11.n2.p119-134
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
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article

Bibliometrix applied to computational simulation for wind generator

A.S. Costa, Carla Freitas de Andrade, Mona Lisa Moura de Oliveira, Francisco Olímpio Moura Carneiro et al.
Latin American Journal of Energy Research
Energy Load and Power Forecasting
article

Bibliometrix applied to computational simulation for wind generator

A.S. Costa, Carla Freitas de Andrade, Mona Lisa Moura de Oliveira, Francisco Olímpio Moura Carneiro, Tainan Sousa Viana, Lara Albuquerque Fortes
article en

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.

Latin American Journal of Energy ResearchVol. 11(2)
Universidade Estadual do Ceará (BR), Universidade Federal do Ceará (BR), University for International Integration of the Afro-Brazilian Lusophony (BR)
Openalex Percentile: Top 78%
Energy Load and Power Forecasting
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Bibliometrix applied to computational simulation for wind generator — A.S. Costa, Carla Freitas de Andrade, et al. · Latin American Journal of Energy Research (2024) | TGRS Research Map | TGRS