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Optimization of radial inflow wind turbines for urban wind energy harvesting

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  • Acarer, Sercan
  • Uyulan, Çağlar
  • Karadeniz, Ziya Haktan

Abstract

Radial (inflow) turbines with volutes have received limited attention in the body of literature for open-field wind harvesting. Few existing data in the literature indicate low maximum Cp, around 0.1. This study pursues demonstration of competitive radial wind turbines (RWT) towards exploring their potentials and increase the alternatives for a future urban energy planner. RWT may have advantages in adapting the renewable energy concept into buildings due to their an order-of-magnitude lower rotational speeds compared to propeller turbines, enclosed rotors and discharge of air uniquely from the top of the turbine (therefore the building). Moreover, such features may enable low-noise and fatigue-free rotors made of less durable but recyclable materials, crucial for acoustical comfort, safety and sustainability in urban areas. Design exploration over the complex 3D flowfield of the turbine is pursued by machine learning algorithms coupled with Computational Fluid Dynamics simulations. With the achieved peak Cp of 0.29 at Rec = 1.7 × 105, 103% improvement is attained relative to the existing RWTs with identical simulation methodologies. A sensitivity analysis revealed the most important parameters. The optimized turbine is compared with traditional alternatives, and it was elucidated that RWT is a competitive alternative among conventional alternatives with the described additional fundamental advantages.

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  • Acarer, Sercan & Uyulan, Çağlar & Karadeniz, Ziya Haktan, 2020. "Optimization of radial inflow wind turbines for urban wind energy harvesting," Energy, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:energy:v:202:y:2020:i:c:s0360544220308793
    DOI: 10.1016/j.energy.2020.117772
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    2. Hongye pan, & Jia, Changyuan & Li, Haobo & Zhou, Xianzheng & Fang, Zheng & Wu, Xiaoping & Zhang, Zutao, 2022. "A renewable energy harvesting wind barrier based on coaxial contrarotation for self-powered applications on railways," Energy, Elsevier, vol. 258(C).
    3. Anbarsooz, M. & Amiri, M., 2022. "Towards enhancing the wind energy potential at the built environment: Geometry effects of two adjacent buildings," Energy, Elsevier, vol. 239(PD).
    4. Noman, Abdullah Al & Tasneem, Zinat & Sahed, Md. Fahad & Muyeen, S.M. & Das, Sajal K. & Alam, Firoz, 2022. "Towards next generation Savonius wind turbine: Artificial intelligence in blade design trends and framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    5. ArabGolarcheh, Alireza & Anbarsooz, Morteza & Benini, Ernesto, 2024. "An actuator line method for performance prediction of HAWTs at urban flow conditions: A case study of rooftop wind turbines," Energy, Elsevier, vol. 292(C).
    6. Zahra Sefidgar & Amir Ahmadi Joneidi & Ahmad Arabkoohsar, 2023. "A Comprehensive Review on Development and Applications of Cross-Flow Wind Turbines," Sustainability, MDPI, vol. 15(5), pages 1-39, March.

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