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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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    1. Eriksson, Sandra & Bernhoff, Hans & Leijon, Mats, 2008. "Evaluation of different turbine concepts for wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1419-1434, June.
    2. Chan, C.M. & Bai, H.L. & He, D.Q., 2018. "Blade shape optimization of the Savonius wind turbine using a genetic algorithm," Applied Energy, Elsevier, vol. 213(C), pages 148-157.
    3. Guo, Jia & Zeng, Pan & Lei, Liping, 2019. "Performance of a straight-bladed vertical axis wind turbine with inclined pitch axes by wind tunnel experiments," Energy, Elsevier, vol. 174(C), pages 553-561.
    4. Karimian, S.M.H. & Abdolahifar, Abolfazl, 2020. "Performance investigation of a new Darrieus Vertical Axis Wind Turbine," Energy, Elsevier, vol. 191(C).
    5. Chong, W.T. & Fazlizan, A. & Poh, S.C. & Pan, K.C. & Hew, W.P. & Hsiao, F.B., 2013. "The design, simulation and testing of an urban vertical axis wind turbine with the omni-direction-guide-vane," Applied Energy, Elsevier, vol. 112(C), pages 601-609.
    6. Rolland, S. & Newton, W. & Williams, A.J. & Croft, T.N. & Gethin, D.T. & Cross, M., 2013. "Simulations technique for the design of a vertical axis wind turbine device with experimental validation," Applied Energy, Elsevier, vol. 111(C), pages 1195-1203.
    7. Zouzou, B. & Dobrev, I. & Massouh, F. & Dizene, R., 2019. "Experimental and numerical analysis of a novel Darrieus rotor with variable pitch mechanism at low TSR," Energy, Elsevier, vol. 186(C).
    8. Antar, E. & Elkhoury, M., 2019. "Parametric sizing optimization process of a casing for a Savonius Vertical Axis Wind Turbine," Renewable Energy, Elsevier, vol. 136(C), pages 127-138.
    9. Müller, Gerald & Chavushoglu, Mert & Kerri, Mark & Tsuzaki, Toru, 2017. "A resistance type vertical axis wind turbine for building integration," Renewable Energy, Elsevier, vol. 111(C), pages 803-814.
    10. Rolland, S.A. & Thatcher, M. & Newton, W. & Williams, A.J. & Croft, T.N. & Gethin, D.T. & Cross, M., 2013. "Benchmark experiments for simulations of a vertical axis wind turbine," Applied Energy, Elsevier, vol. 111(C), pages 1183-1194.
    11. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2019. "On the accuracy of turbulence models for CFD simulations of vertical axis wind turbines," Energy, Elsevier, vol. 180(C), pages 838-857.
    12. Balduzzi, Francesco & Bianchini, Alessandro & Maleci, Riccardo & Ferrara, Giovanni & Ferrari, Lorenzo, 2016. "Critical issues in the CFD simulation of Darrieus wind turbines," Renewable Energy, Elsevier, vol. 85(C), pages 419-435.
    13. Jianguo Zhou & Xuejing Huo & Xiaolei Xu & Yushuo Li, 2019. "Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm," Energies, MDPI, vol. 12(5), pages 1-22, March.
    14. Kumar, Rakesh & Raahemifar, Kaamran & Fung, Alan S., 2018. "A critical review of vertical axis wind turbines for urban applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 281-291.
    15. Grönman, Aki & Tiainen, Jonna & Jaatinen-Värri, Ahti, 2019. "Experimental and analytical analysis of vaned savonius turbine performance under different operating conditions," Applied Energy, Elsevier, vol. 250(C), pages 864-872.
    16. Chehouri, Adam & Younes, Rafic & Ilinca, Adrian & Perron, Jean, 2015. "Review of performance optimization techniques applied to wind turbines," Applied Energy, Elsevier, vol. 142(C), pages 361-388.
    17. Calise, Francesco & Cappiello, Francesco Liberato & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2020. "Dynamic simulation, energy and economic comparison between BIPV and BIPVT collectors coupled with micro-wind turbines," Energy, Elsevier, vol. 191(C).
    18. Balduzzi, Francesco & Bianchini, Alessandro & Carnevale, Ennio Antonio & Ferrari, Lorenzo & Magnani, Sandro, 2012. "Feasibility analysis of a Darrieus vertical-axis wind turbine installation in the rooftop of a building," Applied Energy, Elsevier, vol. 97(C), pages 921-929.
    19. Sessarego, Matias & Feng, Ju & Ramos-García, Néstor & Horcas, Sergio González, 2020. "Design optimization of a curved wind turbine blade using neural networks and an aero-elastic vortex method under turbulent inflow," Renewable Energy, Elsevier, vol. 146(C), pages 1524-1535.
    20. Hui Li & Bangji Fan & Rong Jia & Fang Zhai & Liang Bai & Xingqi Luo, 2020. "Research on Multi-Domain Fault Diagnosis of Gearbox of Wind Turbine Based on Adaptive Variational Mode Decomposition and Extreme Learning Machine Algorithms," Energies, MDPI, vol. 13(6), pages 1-20, March.
    21. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2018. "Towards optimal aerodynamic design of vertical axis wind turbines: Impact of solidity and number of blades," Energy, Elsevier, vol. 165(PB), pages 1129-1148.
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    3. 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.
    4. Mohammad Mahdi Forootan & Iman Larki & Rahim Zahedi & Abolfazl Ahmadi, 2022. "Machine Learning and Deep Learning in Energy Systems: A Review," Sustainability, MDPI, vol. 14(8), pages 1-49, April.
    5. 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).

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