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Technical and performance assessments of wind turbines in low wind speed areas using numerical, metaheuristic and remote sensing procedures

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  • Akpan, Anthony E.
  • Ben, Ubong C.
  • Ekwok, Stephen E.
  • Okolie, Chukwuma J.
  • Epuh, Emeka E.
  • Julzarika, Atriyon
  • Othman, Abdullah
  • Eldosouky, Ahmed M.

Abstract

The application of innovative technologies in the manufacture of wind turbines (WT) has produced more efficient WT that can operate successfully in low wind speed (LWS) environments. This technology has not been implemented in many LWS parts of the world due to the paucity of enabling technical information (wind resource availability and wind turbine configuration). This study uses ten years wind speed data from twelve Nigerian cities and their population densities, remote sensing, and the configuration of some commercially available LWS turbines in generating technical information suitable for data-backed decision-making on low-speed turbine deployability, operational conditions, and energy yield at 50 and 400 m. Five different numerical and metaheuristic procedures were randomly selected and utilized to estimate Weibull parameters used in computing wind energy development (WEDP) parameters (effective wind power density, EWPD, and wind available time). WT with low cut-in speeds (∼2 m.s−1) can be installed in all the cities. With the highest EWPD and WEDP ratings (100%) at both 50 and 400 m, Obudu is the most suitable location for the development of wind power infrastructure.

Suggested Citation

  • Akpan, Anthony E. & Ben, Ubong C. & Ekwok, Stephen E. & Okolie, Chukwuma J. & Epuh, Emeka E. & Julzarika, Atriyon & Othman, Abdullah & Eldosouky, Ahmed M., 2024. "Technical and performance assessments of wind turbines in low wind speed areas using numerical, metaheuristic and remote sensing procedures," Applied Energy, Elsevier, vol. 357(C).
    • Handle: RePEc:eee:appene:v:357:y:2024:i:c:s0306261923018676
    DOI: 10.1016/j.apenergy.2023.122503
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    as
    1. Guedes, Kevin S. & de Andrade, Carla F. & Rocha, Paulo A.C. & Mangueira, Rivanilso dos S. & de Moura, Elineudo P., 2020. "Performance analysis of metaheuristic optimization algorithms in estimating the parameters of several wind speed distributions," Applied Energy, Elsevier, vol. 268(C).
    2. Sanajaoba, Sarangthem & Fernandez, Eugene, 2016. "Maiden application of Cuckoo Search algorithm for optimal sizing of a remote hybrid renewable energy System," Renewable Energy, Elsevier, vol. 96(PA), pages 1-10.
    3. Muzathik, A.M. & Ibrahim, M.Z. & Samo, K.B. & Wan Nik, W.B., 2011. "Estimation of global solar irradiation on horizontal and inclined surfaces based on the horizontal measurements," Energy, Elsevier, vol. 36(2), pages 812-818.
    4. Wenmei Fei & Alex Opoku & Kofi Agyekum & James Anthony Oppon & Vian Ahmed & Charles Chen & Ka Leung Lok, 2021. "The Critical Role of the Construction Industry in Achieving the Sustainable Development Goals (SDGs): Delivering Projects for the Common Good," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    5. Soulouknga, M.H. & Doka, S.Y. & N.Revanna, & N.Djongyang, & T.C.Kofane,, 2018. "Analysis of wind speed data and wind energy potential in Faya-Largeau, Chad, using Weibull distribution," Renewable Energy, Elsevier, vol. 121(C), pages 1-8.
    6. Dongsu Kim & Yeobeom Yoon & Jongman Lee & Pedro J. Mago & Kwangho Lee & Heejin Cho, 2022. "Design and Implementation of Smart Buildings: A Review of Current Research Trend," Energies, MDPI, vol. 15(12), pages 1-17, June.
    7. Chang, Tian Pau, 2011. "Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application," Applied Energy, Elsevier, vol. 88(1), pages 272-282, January.
    8. Jiang, He & Wang, Jianzhou & Dong, Yao & Lu, Haiyan, 2015. "Comprehensive assessment of wind resources and the low-carbon economy: An empirical study in the Alxa and Xilin Gol Leagues of inner Mongolia, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1304-1319.
    9. Alrashidi, Musaed & Rahman, Saifur & Pipattanasomporn, Manisa, 2020. "Metaheuristic optimization algorithms to estimate statistical distribution parameters for characterizing wind speeds," Renewable Energy, Elsevier, vol. 149(C), pages 664-681.
    10. Tayyaba Rani & Feng Wang & Fawad Rauf & Qurat ul Ain & Hamid Ali, 2023. "Linking personal remittance and fossil fuels energy consumption to environmental degradation: evidence from all SAARC countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8447-8468, August.
    11. Yacob Mulugetta & Youba Sokona & Philipp A. Trotter & Samuel Fankhauser & Jessica Omukuti & Lucas Somavilla Croxatto & Bjarne Steffen & Meron Tesfamichael & Edo Abraham & Jean-Paul Adam & Lawrence Agb, 2022. "Africa needs context-relevant evidence to shape its clean energy future," Nature Energy, Nature, vol. 7(11), pages 1015-1022, November.
    12. Monyei, Chukwuka G. & Akpeji, Kingsley O. & Oladeji, Olamide & Babatunde, Olubayo M. & Aholu, Okechukwu C. & Adegoke, Damilola & Imafidon, Justus O., 2022. "Regional cooperation for mitigating energy poverty in Sub-Saharan Africa: A context-based approach through the tripartite lenses of access, sufficiency, and mobility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    13. Jiang, Haiyan & Wang, Jianzhou & Wu, Jie & Geng, Wei, 2017. "Comparison of numerical methods and metaheuristic optimization algorithms for estimating parameters for wind energy potential assessment in low wind regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1199-1217.
    14. Ignatius Kema Okakwu & Olakunle Elijah Olabode & Akintunde Samson Alayande & Tobiloba Emmanuel Somefun & Titus Oluwasuji Ajewole, 2021. "Techno-Economic Assessment of Wind Turbines in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 240-246.
    15. Guo, Qingran & Abbas, Shujaat & AbdulKareem, Hauwah K.K. & Shuaibu, Muhammad Shehu & Khudoykulov, Khurshid & Saha, Tanaya, 2023. "Devising strategies for sustainable development in sub-Saharan Africa: The roles of renewable, non-renewable energy, and natural resources," Energy, Elsevier, vol. 284(C).
    16. Qing, Xiangyun, 2018. "Statistical analysis of wind energy characteristics in Santiago island, Cape Verde," Renewable Energy, Elsevier, vol. 115(C), pages 448-461.
    17. Zheng, Hanbo & Huang, Wufeng & Zhao, Junhui & Liu, Jiefeng & Zhang, Yiyi & Shi, Zhen & Zhang, Chaohai, 2022. "A novel falling model for wind speed probability distribution of wind farms," Renewable Energy, Elsevier, vol. 184(C), pages 91-99.
    18. Kaygusuz, K., 2011. "Energy services and energy poverty for sustainable rural development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 936-947, February.
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