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Advanced methodology for feasibility studies on building-mounted wind turbines installation in urban environment: Applying CFD analysis

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  • Arteaga-López, Ernesto
  • Ángeles-Camacho, Cesar
  • Bañuelos-Ruedas, Francisco

Abstract

In recent years, the world has been experiencing a technological revolution that is transforming the energy sector around the world, and Mexico is no exception. Among these technologies, small wind turbines (SWTs) appear to be promising. This paper presents a methodology according to the specific Task 27 of the International Energy Agency (IEA) in order to improve the wind resource assessment in the urban environment by using computational fluid dynamics (CFD). Many problems that would help boost the use of this technology are still not addressed including wind resource assessment in the urban environment. Among these important issues are the energy yield estimation of SWTs in the urban zones, as well as the effects on the electricity supplied by the turbines in the distribution system. The objective is to present an easy-to-follow methodology, which permits the application of diverse CFD methods and software to assess the installation of SWTs in urban zones. This feasibility study on estimating the wind resource through CFD allows the opportunity to supply local electricity to buildings or public lighting systems. This methodology is based on the insertion of SWTs, in the urban environment; the SWTs are selected based on a market study of these technologies.

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  • 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.
    • Handle: RePEc:eee:energy:v:167:y:2019:i:c:p:181-188
    DOI: 10.1016/j.energy.2018.10.191
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    References listed on IDEAS

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    1. Sunderland, Keith M. & Narayana, Mahinsasa & Putrus, Ghanim & Conlon, Michael F. & McDonald, Steve, 2016. "The cost of energy associated with micro wind generation: International case studies of rural and urban installations," Energy, Elsevier, vol. 109(C), pages 818-829.
    2. Make, Michel & Vaz, Guilherme, 2015. "Analyzing scaling effects on offshore wind turbines using CFD," Renewable Energy, Elsevier, vol. 83(C), pages 1326-1340.
    3. Liu, ZhiYi & Wang, XiaoDong & Kang, Shun, 2014. "Stochastic performance evaluation of horizontal axis wind turbine blades using non-deterministic CFD simulations," Energy, Elsevier, vol. 73(C), pages 126-136.
    4. Hashem, I. & Mohamed, M.H. & Hafiz, A.A., 2017. "Aero-acoustics noise assessment for Wind-Lens turbine," Energy, Elsevier, vol. 118(C), pages 345-368.
    5. Bañuelos-Ruedas, F. & Angeles-Camacho, C. & Rios-Marcuello, S., 2010. "Analysis and validation of the methodology used in the extrapolation of wind speed data at different heights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2383-2391, October.
    6. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    7. Mohamed, M.H., 2016. "Reduction of the generated aero-acoustics noise of a vertical axis wind turbine using CFD (Computational Fluid Dynamics) techniques," Energy, Elsevier, vol. 96(C), pages 531-544.
    8. Lu, Lin & Ip, Ka Yan, 2009. "Investigation on the feasibility and enhancement methods of wind power utilization in high-rise buildings of Hong Kong," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 450-461, February.
    9. Frikha, Sobhi & Driss, Zied & Ayadi, Emna & Masmoudi, Zied & Abid, Mohamed Salah, 2016. "Numerical and experimental characterization of multi-stage Savonius rotors," Energy, Elsevier, vol. 114(C), pages 382-404.
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    Cited by:

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    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. Muhammad Salman Siddiqui & Muhammad Hamza Khalid & Abdul Waheed Badar & Muhammed Saeed & Taimoor Asim, 2022. "Parametric Analysis Using CFD to Study the Impact of Geometric and Numerical Modeling on the Performance of a Small Scale Horizontal Axis Wind Turbine," Energies, MDPI, vol. 15(2), pages 1-21, January.
    5. Yossri, Widad & Ben Ayed, Samah & Abdelkefi, Abdessattar, 2021. "Airfoil type and blade size effects on the aerodynamic performance of small-scale wind turbines: Computational fluid dynamics investigation," Energy, Elsevier, vol. 229(C).
    6. 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.
    7. Yuan Li & Zengjin Xu & Zuoxia Xing & Bowen Zhou & Haoqian Cui & Bowen Liu & Bo Hu, 2020. "A Modified Reynolds-Averaged Navier–Stokes-Based Wind Turbine Wake Model Considering Correction Modules," Energies, MDPI, vol. 13(17), pages 1-19, August.
    8. Yang, Lin & Rojas, Jose I. & Montlaur, Adeline, 2020. "Advanced methodology for wind resource assessment near hydroelectric dams in complex mountainous areas," Energy, Elsevier, vol. 190(C).
    9. Wu, Yan & Zhang, Shuai & Wang, Ruiqi & Wang, Yufei & Feng, Xiao, 2020. "A design methodology for wind farm layout considering cable routing and economic benefit based on genetic algorithm and GeoSteiner," Renewable Energy, Elsevier, vol. 146(C), pages 687-698.
    10. 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).

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