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A method for estimating the potential power available to building mounted wind turbines within turbulent urban air flows

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  • Emejeamara, F.C.
  • Tomlin, A.S.

Abstract

Small-scale wind energy applications have shown great promise in terms of their potential contribution to transitions to low carbon economies. However, the energy generation potential of such turbines within built environments has not yet been fully utilised due to the complexity of turbulent urban winds, and the challenges this creates in developing effective scoping tools for viability assessments. Effective scoping tools for turbine systems across sites within built environments require an estimation of power generated by the turbine under turbulent conditions, in addition to more commonly applied assessments based on mean wind speeds. A new methodology is therefore presented here for predicting the power generated by a turbine system operating within an urban wind resource. It was developed by employing high temporal resolution wind measurements from eight potential turbine sites within urban/suburban environments as inputs to a vertical axis wind turbine 2-D double multiple streamtube model. A relationship between turbulence intensity and the unsteady performance coefficient obtained from the turbine model was demonstrated. Hence, an analytical methodology for estimating the unsteady power coefficient at a potential turbine site is proposed. This analytical methodology was combined with an excess energy estimation model to develop a turbine power estimation (TPE) model which is used in predicting the turbine power within urban canopies. Finally, the effect of turbine control response times on the unsteady power coefficient and the turbine power estimation model was assessed. Estimates of turbine performance based on the present methodology allow a more comprehensive assessment of potential urban wind projects.

Suggested Citation

  • Emejeamara, F.C. & Tomlin, A.S., 2020. "A method for estimating the potential power available to building mounted wind turbines within turbulent urban air flows," Renewable Energy, Elsevier, vol. 153(C), pages 787-800.
  • Handle: RePEc:eee:renene:v:153:y:2020:i:c:p:787-800
    DOI: 10.1016/j.renene.2020.01.123
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    References listed on IDEAS

    as
    1. Grant, Andrew & Johnstone, Cameron & Kelly, Nick, 2008. "Urban wind energy conversion: The potential of ducted turbines," Renewable Energy, Elsevier, vol. 33(6), pages 1157-1163.
    2. Heide, Dominik & von Bremen, Lueder & Greiner, Martin & Hoffmann, Clemens & Speckmann, Markus & Bofinger, Stefan, 2010. "Seasonal optimal mix of wind and solar power in a future, highly renewable Europe," Renewable Energy, Elsevier, vol. 35(11), pages 2483-2489.
    3. Emejeamara, F.C. & Tomlin, A.S. & Millward-Hopkins, J.T., 2015. "Urban wind: Characterisation of useful gust and energy capture," Renewable Energy, Elsevier, vol. 81(C), pages 162-172.
    4. Raciti Castelli, Marco & Englaro, Alessandro & Benini, Ernesto, 2011. "The Darrieus wind turbine: Proposal for a new performance prediction model based on CFD," Energy, Elsevier, vol. 36(8), pages 4919-4934.
    5. Lee, Kung-Yen & Tsao, Shao-Hua & Tzeng, Chieh-Wen & Lin, Huei-Jeng, 2018. "Influence of the vertical wind and wind direction on the power output of a small vertical-axis wind turbine installed on the rooftop of a building," Applied Energy, Elsevier, vol. 209(C), pages 383-391.
    6. Pagnini, Luisa C. & Burlando, Massimiliano & Repetto, Maria Pia, 2015. "Experimental power curve of small-size wind turbines in turbulent urban environment," Applied Energy, Elsevier, vol. 154(C), pages 112-121.
    7. Nahas, M.N., 1993. "A self-starting darrieus-type windmill," Energy, Elsevier, vol. 18(9), pages 899-906.
    8. Hameed, Z. & Hong, Y.S. & Cho, Y.M. & Ahn, S.H. & Song, C.K., 2009. "Condition monitoring and fault detection of wind turbines and related algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 1-39, January.
    9. Battisti, L. & Benini, E. & Brighenti, A. & Dell’Anna, S. & Raciti Castelli, M., 2018. "Small wind turbine effectiveness in the urban environment," Renewable Energy, Elsevier, vol. 129(PA), pages 102-113.
    10. Islam, M.R. & Mekhilef, S. & Saidur, R., 2013. "Progress and recent trends of wind energy technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 456-468.
    11. Whale, J. & McHenry, M.P. & Malla, A., 2013. "Scheduling and conducting power performance testing of a small wind turbine," Renewable Energy, Elsevier, vol. 55(C), pages 55-61.
    12. Lydia, M. & Suresh Kumar, S. & Immanuel Selvakumar, A. & Edwin Prem Kumar, G., 2015. "Wind resource estimation using wind speed and power curve models," Renewable Energy, Elsevier, vol. 83(C), pages 425-434.
    13. Lubitz, William David, 2014. "Impact of ambient turbulence on performance of a small wind turbine," Renewable Energy, Elsevier, vol. 61(C), pages 69-73.
    14. Lydia, M. & Kumar, S. Suresh & Selvakumar, A. Immanuel & Prem Kumar, G. Edwin, 2014. "A comprehensive review on wind turbine power curve modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 452-460.
    15. Calvillo, C.F. & Sánchez-Miralles, A. & Villar, J., 2016. "Energy management and planning in smart cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 273-287.
    16. Islam, Mazharul & Ting, David S.-K. & Fartaj, Amir, 2008. "Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(4), pages 1087-1109, May.
    17. Adaramola, M.S. & Krogstad, P.-Å., 2011. "Experimental investigation of wake effects on wind turbine performance," Renewable Energy, Elsevier, vol. 36(8), pages 2078-2086.
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    2. N. Aravindhan & M. P. Natarajan & S. Ponnuvel & P.K. Devan, 2023. "Recent developments and issues of small-scale wind turbines in urban residential buildings- A review," Energy & Environment, , vol. 34(4), pages 1142-1169, June.
    3. Li, Gang & Li, Yidian & Li, Jia & Huang, Huilan & Huang, Liyan, 2023. "Research on dynamic characteristics of vertical axis wind turbine extended to the outside of buildings," Energy, Elsevier, vol. 272(C).
    4. Dar, Arslan Salim & Armengol Barcos, Guillem & Porté-Agel, Fernando, 2022. "An experimental investigation of a roof-mounted horizontal-axis wind turbine in an idealized urban environment," Renewable Energy, Elsevier, vol. 193(C), pages 1049-1061.
    5. José Luis Torres-Madroñero & Joham Alvarez-Montoya & Daniel Restrepo-Montoya & Jorge Mario Tamayo-Avendaño & César Nieto-Londoño & Julián Sierra-Pérez, 2020. "Technological and Operational Aspects That Limit Small Wind Turbines Performance," Energies, MDPI, vol. 13(22), pages 1-39, November.
    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.

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