<p>The installation and maintenance of vertical-axis wind turbines has significantly increased in the past few years. Since, centuries ago, it has been a desirable objective for all machines to achieve high energy efficiency. When compared to the performance of separate Savonius and Darrieus rotors, the hybrid Darrieus–Savonius wind turbine technology offers substantial potential for independent power production. This paper investigated the present state and technological breakthroughs of vertical-axis hybrid turbines for urban and rural use. Also, this manuscript discussed the developments, current research trends, applications, and designs of hybrid wind turbine (HWT) technology. This review analysis also discussed the applications of AI on wind turbine design and parameters optimizations in a systematic manner. Overall, this manuscript aims to gather all the research findings related to these HWT and tries to highlight their features together with future recommendations.</p>

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A comprehensive review on hybrid vertical-axis wind turbine: numerical, experimental and AI investigations

  • Renya Raji,
  • Nur Alom

摘要

The installation and maintenance of vertical-axis wind turbines has significantly increased in the past few years. Since, centuries ago, it has been a desirable objective for all machines to achieve high energy efficiency. When compared to the performance of separate Savonius and Darrieus rotors, the hybrid Darrieus–Savonius wind turbine technology offers substantial potential for independent power production. This paper investigated the present state and technological breakthroughs of vertical-axis hybrid turbines for urban and rural use. Also, this manuscript discussed the developments, current research trends, applications, and designs of hybrid wind turbine (HWT) technology. This review analysis also discussed the applications of AI on wind turbine design and parameters optimizations in a systematic manner. Overall, this manuscript aims to gather all the research findings related to these HWT and tries to highlight their features together with future recommendations.