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Urban Wind Resource Assessment: A Case Study on Cape Town

Author

Listed:
  • Matthew Gough

    (Instituto Superior Técnico, 1049-001 Lisbon, Portugal)

  • Mohamed Lotfi

    (Faculty of Engineering of the University of Porto and INESC TEC, 4200-465 Porto, Portugal)

  • Rui Castro

    (INESC-ID, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal)

  • Amos Madhlopa

    (Energy Research Centre, University of Cape Town, Private Bag X3, Rondebosch, Cape Town 7701, South Africa)

  • Azeem Khan

    (Department of Electrical Engineering, University of Cape Town, Private Bag X3, Rondebosch, Cape Town 7701, South Africa)

  • João P. S. Catalão

    (Faculty of Engineering of the University of Porto and INESC TEC, 4200-465 Porto, Portugal)

Abstract

As the demand for renewable energy sources energy grows worldwide, small-scale urban wind energy (UWE) has drawn attention as having the potential to significantly contribute to urban electricity demand with environmental and socio-economic benefits. However, there is currently a lack of academic research surrounding realizable UWE potential, especially in the South African context. This study used high-resolution annual wind speed measurements from six locations spanning Cape Town to quantify and analyze the city’s UWE potential. Two-parameter Weibull distributions were constructed for each location, and the annual energy production (AEP) was calculated considering the power curves of four commonly used small-scale wind turbines (SWTs). The two Horizontal Axis Wind Turbines (HAWTs) showed higher AEP and capacity factors than Vertical Axis Wind Turbine (VAWT) ones. A diurnal analysis showed that, during summer, an SWT generates the majority of its electricity during the day, which resembles the typical South African electricity demand profile. However, during winter, the electricity is mainly generated in the early hours of the morning, which does not coincide with the typical load demand profile. Finally, the calculation of Levelized Cost of Electricity (LCOE) showed that SWT generation is more expensive, given current electricity market conditions and SWT technology. The study provides a detailed, large-scale and complete assessment of UWE resources of Cape Town, South Africa, the first of its kind at the time of this work.

Suggested Citation

  • Matthew Gough & Mohamed Lotfi & Rui Castro & Amos Madhlopa & Azeem Khan & João P. S. Catalão, 2019. "Urban Wind Resource Assessment: A Case Study on Cape Town," Energies, MDPI, vol. 12(8), pages 1-20, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1479-:d:224132
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    References listed on IDEAS

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    Cited by:

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    5. Mohamed Lotfi & Mohammad Javadi & Gerardo J. Osório & Cláudio Monteiro & João P. S. Catalão, 2020. "A Novel Ensemble Algorithm for Solar Power Forecasting Based on Kernel Density Estimation," Energies, MDPI, vol. 13(1), pages 1-19, January.
    6. He, J.Y. & Chan, P.W. & Li, Q.S. & Huang, Tao & Yim, Steve Hung Lam, 2024. "Assessment of urban wind energy resource in Hong Kong based on multi-instrument observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    7. Luca Salvadori & Annalisa Di Bernardino & Giorgio Querzoli & Simone Ferrari, 2021. "A Novel Automatic Method for the Urban Canyon Parametrization Needed by Turbulence Numerical Simulations for Wind Energy Potential Assessment," Energies, MDPI, vol. 14(16), pages 1-22, August.
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    9. Duong Minh Ngoc & Montri Luengchavanon & Pham Thi Anh & Kim Humphreys & Kuaanan Techato, 2022. "Shades of Green: Life Cycle Assessment of a Novel Small-Scale Vertical Axis Wind Turbine Tree," Energies, MDPI, vol. 15(20), pages 1-21, October.

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