Overview improving the efficiency of a wind turbine by using a nozzle and solar radiation

As the global transition toward renewable energy intensifies, wind energy stands out as a promising solution. Wind, an indirect form of solar energy, is continuously replenished by the sun's heating of the Earth's surface, making it a reliable resource. However, enhancing wind turbine performance, especially in low wind conditions, presents significant challenges. This review investigates innovative technologies—such as nozzle lenses, diffusers, and solar chimneys—that aim to improve turbine efficiency and energy output. To ensure a comprehensive perspective, this study adopts a dual approach: a systematic review of recent literature alongside bibliometric analysis using Scopus data and VOSviewer software, mapping publication trends, research gaps, and influential studies in the field. These technologies leverage aerodynamic and thermal principles to enhance energy capture. However, key research gaps remain: the optimization of nozzle lens and diffuser design parameters (shape, size, angle) under varying wind conditions is still underdeveloped. Solar chimneys offer promise for low-wind scenarios, but their integration with wind turbines and their economic feasibility remain underexplored. Moreover, artificial intelligence (AI), particularly machine learning, has potential to optimize system performance by forecasting wind patterns and improving control strategies. Despite its potential, the use of AI in wind turbine enhancement is still limited and demands deeper investigation. In conclusion, this review highlights the critical need for further research into the integration of aerodynamic enhancements and AI-driven control to boost wind turbine performance, reduce costs, and support renewable energy deployment—especially in low-wind regions. • Wind energy, a reliable renewable resource, faces challenges in low wind conditions. • Innovative technologies like nozzle lenses, diffusers, and solar chimneys can enhance wind turbine efficiency. • Solar chimneys aid wind turbines via natural convection; integration needs more research and cost-benefit analysis. • Nozzle lenses and diffusers boost wind power; optimal design parameters require further investigation. • AI optimizes wind turbine systems, integrating advanced technologies for better performance and energy predictions.

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Institutions

Publication Details

Journal
Unconventional Resources
Published
2025-04-11
DOI
https://doi.org/10.1016/j.uncres.2025.100191
Citations
3
Primary Topic
Solar Energy Systems and Technologies
Type
article
Field-Weighted Citation Impact
2.14
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article

Overview improving the efficiency of a wind turbine by using a nozzle and solar radiation

Suad Hassan Danook, Zahra Adnan Shawket
3 citations
Unconventional Resources
Solar Energy Systems and Technologies
2.14
article

Overview improving the efficiency of a wind turbine by using a nozzle and solar radiation

Suad Hassan Danook, Zahra Adnan Shawket
article en
3 citations

Abstract

As the global transition toward renewable energy intensifies, wind energy stands out as a promising solution. Wind, an indirect form of solar energy, is continuously replenished by the sun's heating of the Earth's surface, making it a reliable resource. However, enhancing wind turbine performance, especially in low wind conditions, presents significant challenges. This review investigates innovative technologies—such as nozzle lenses, diffusers, and solar chimneys—that aim to improve turbine efficiency and energy output. To ensure a comprehensive perspective, this study adopts a dual approach: a systematic review of recent literature alongside bibliometric analysis using Scopus data and VOSviewer software, mapping publication trends, research gaps, and influential studies in the field. These technologies leverage aerodynamic and thermal principles to enhance energy capture. However, key research gaps remain: the optimization of nozzle lens and diffuser design parameters (shape, size, angle) under varying wind conditions is still underdeveloped. Solar chimneys offer promise for low-wind scenarios, but their integration with wind turbines and their economic feasibility remain underexplored. Moreover, artificial intelligence (AI), particularly machine learning, has potential to optimize system performance by forecasting wind patterns and improving control strategies. Despite its potential, the use of AI in wind turbine enhancement is still limited and demands deeper investigation. In conclusion, this review highlights the critical need for further research into the integration of aerodynamic enhancements and AI-driven control to boost wind turbine performance, reduce costs, and support renewable energy deployment—especially in low-wind regions. • Wind energy, a reliable renewable resource, faces challenges in low wind conditions. • Innovative technologies like nozzle lenses, diffusers, and solar chimneys can enhance wind turbine efficiency. • Solar chimneys aid wind turbines via natural convection; integration needs more research and cost-benefit analysis. • Nozzle lenses and diffusers boost wind power; optimal design parameters require further investigation. • AI optimizes wind turbine systems, integrating advanced technologies for better performance and energy predictions.

Unconventional ResourcesVol. 7
Imam Sadiq University (IR), Northern Technical University (IQ)
Affordable and clean energy
Openalex Percentile: Top 14%
Solar Energy Systems and Technologies
2.14
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