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Optimum design parameters for a venturi-shaped roof to maximize the performance of building-integrated wind turbines

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  • Ye, Xiulan
  • Zhang, Xuelin
  • Weerasuriya, A.U.
  • Hang, Jian
  • Zeng, Liyue
  • Li, Cruz Y.

Abstract

Venturi-shaped roofs provide advantageous wind conditions for efficiently operating building-integrated wind turbines without losing usable floor area. Despite these advantages, venturi-shaped roofs have been sparsely adopted for buildings due to the lack of understanding of their optimum designs to maximize the performance of building-integrated wind turbines. For the first time in literature, this study investigated four design parameters: support structure, corner modification, tunnel shape, and wind turbine arrangement to estimate the optimum venturi-shaped roof design by conducting Computational Fluid Dynamics (CFD) simulations. The results revealed the advantages of shorter support structures with convex and concave shapes at upwind and downwind ends, creating high wind speeds with low turbulence intensities. Corner modifications to the tunnel's entrance and exit are vital to suppress flow separation at the tunnel's entrance and uniform distributions of wind speed and pressure. This study recommends aerodynamic tunnel shapes that follow a non-uniform rational B-spline (NURBS) to accelerate wind without increasing turbulence intensities. The optimum design parameters performed better in normal and oblique wind directions, confirming their universal applicability. This study proposes integrating all optimum design parameters into a venturi-shaped roof design to alleviate the adverse effects of support structures, which are essential for a stable roof design.

Suggested Citation

  • Ye, Xiulan & Zhang, Xuelin & Weerasuriya, A.U. & Hang, Jian & Zeng, Liyue & Li, Cruz Y., 2024. "Optimum design parameters for a venturi-shaped roof to maximize the performance of building-integrated wind turbines," Applied Energy, Elsevier, vol. 355(C).
    • Handle: RePEc:eee:appene:v:355:y:2024:i:c:s0306261923016756
    DOI: 10.1016/j.apenergy.2023.122311
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    References listed on IDEAS

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    1. Li, Q.S. & Shu, Z.R. & Chen, F.B., 2016. "Performance assessment of tall building-integrated wind turbines for power generation," Applied Energy, Elsevier, vol. 165(C), pages 777-788.
    2. Jeongsu Park & Hyung-Jo Jung & Seung-Woo Lee & Jiyoung Park, 2015. "A New Building-Integrated Wind Turbine System Utilizing the Building," Energies, MDPI, vol. 8(10), pages 1-25, October.
    3. Xu, Wenhao & Li, Gaohua & Zheng, Xiaobo & Li, Ye & Li, Shoutu & Zhang, Chen & Wang, Fuxin, 2021. "High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part I, wind turbines on the side of single building," Renewable Energy, Elsevier, vol. 177(C), pages 461-474.
    4. Arteaga-López, Ernesto & Ángeles-Camacho, Cesar & Bañuelos-Ruedas, Francisco, 2019. "Advanced methodology for feasibility studies on building-mounted wind turbines installation in urban environment: Applying CFD analysis," Energy, Elsevier, vol. 167(C), pages 181-188.
    5. Song, Dongran & Fan, Xinyu & Yang, Jian & Liu, Anfeng & Chen, Sifan & Joo, Young Hoon, 2018. "Power extraction efficiency optimization of horizontal-axis wind turbines through optimizing control parameters of yaw control systems using an intelligent method," Applied Energy, Elsevier, vol. 224(C), pages 267-279.
    6. Ledo, L. & Kosasih, P.B. & Cooper, P., 2011. "Roof mounting site analysis for micro-wind turbines," Renewable Energy, Elsevier, vol. 36(5), pages 1379-1391.
    7. Jeffrey E. Silva & Louis Angelo M. Danao, 2021. "Varying VAWT Cluster Configuration and the Effect on Individual Rotor and Overall Cluster Performance," Energies, MDPI, vol. 14(6), pages 1-22, March.
    8. Abohela, Islam & Hamza, Neveen & Dudek, Steven, 2013. "Effect of roof shape, wind direction, building height and urban configuration on the energy yield and positioning of roof mounted wind turbines," Renewable Energy, Elsevier, vol. 50(C), pages 1106-1118.
    9. Simões, Teresa & Estanqueiro, Ana, 2016. "A new methodology for urban wind resource assessment," Renewable Energy, Elsevier, vol. 89(C), pages 598-605.
    10. Toja-Silva, Francisco & Lopez-Garcia, Oscar & Peralta, Carlos & Navarro, Jorge & Cruz, Ignacio, 2016. "An empirical–heuristic optimization of the building-roof geometry for urban wind energy exploitation on high-rise buildings," Applied Energy, Elsevier, vol. 164(C), pages 769-794.
    11. Radünz, William Corrêa & Mattuella, Jussara M. Leite & Petry, Adriane Prisco, 2020. "Wind resource mapping and energy estimation in complex terrain: A framework based on field observations and computational fluid dynamics," Renewable Energy, Elsevier, vol. 152(C), pages 494-515.
    12. Serrano González, Javier & Burgos Payán, Manuel & Santos, Jesús Manuel Riquelme & González-Longatt, Francisco, 2014. "A review and recent developments in the optimal wind-turbine micro-siting problem," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 133-144.
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