<p>This study explores the aerodynamic benefits of integrating a twist angle in horizontal axis wind turbines (HAWT) to address Indonesia’s rising energy demands and to exploit its wind energy potential. This work introduces a novel twist angle optimization approach for HAWT blades—a topic that has been underexplored in prior studies—demonstrating 36.9% higher torque and 22.4% improved power coefficient compared with conventional designs. By performing 3D steady-state computational fluid dynamics simulations, this study confirms the superior performance of twist runner designs over original models. The simulations employ structured grids, the RNG k-ε turbulence model, and the finite volume method with second-order discretization schemes. Results demonstrate enhanced torque and mechanical power at lower tip speed ratios, with minimized flow separation and vortices due to twist angle optimization. This innovative approach reduces noise and vibration, thus enhancing operational stability for off-grid applications. The findings highlight the critical role of advanced engineering in optimizing wind turbine aerodynamics, thus contributing to sustainable energy solutions.</p>

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Enhanced aerodynamic performance of HAWT with twist angle investigation for energy efficiency in Indonesia

  • Dendy Adanta,
  • Dewi Puspita Sari,
  • Imam Syofii,
  • Kaprawi Sahim,
  • Muhammad Bagus Al Fateh,
  • Marwani,
  • Ahmad Fudholi,
  • Fazila Mohd-Zawawi,
  • Hifni Mukhtar Ariyadi,
  • Nyayu Aisyah

摘要

This study explores the aerodynamic benefits of integrating a twist angle in horizontal axis wind turbines (HAWT) to address Indonesia’s rising energy demands and to exploit its wind energy potential. This work introduces a novel twist angle optimization approach for HAWT blades—a topic that has been underexplored in prior studies—demonstrating 36.9% higher torque and 22.4% improved power coefficient compared with conventional designs. By performing 3D steady-state computational fluid dynamics simulations, this study confirms the superior performance of twist runner designs over original models. The simulations employ structured grids, the RNG k-ε turbulence model, and the finite volume method with second-order discretization schemes. Results demonstrate enhanced torque and mechanical power at lower tip speed ratios, with minimized flow separation and vortices due to twist angle optimization. This innovative approach reduces noise and vibration, thus enhancing operational stability for off-grid applications. The findings highlight the critical role of advanced engineering in optimizing wind turbine aerodynamics, thus contributing to sustainable energy solutions.