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Evaluating the solar resource potential on different tracking surfaces in Nigeria

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  • Okoye, Chiemeka Onyeka
  • Bahrami, Arian
  • Atikol, Ugur

Abstract

In this study, the available solar potential of some selected locations in Nigeria on an inclined, single-axis (considering 6 tracking orientations) and dual-axis tracking surfaces are assessed using hourly radiation data. More accurate and widely validated Perez anisotropic and Koronakis isotropic models are adopted in the estimation of the diffuse component of the radiation on an inclined surface before integrating trackers. The method utilized in the simulation are compared and verified by the result from System Advisor Model (SAM) before carrying out the detail resource assessment. The annual solar resource potential for the locations on a fixed surface inclined at an optimal angle ranges from 1621 to 2279kWhm−2, with the use of solar trackers; the yield would vary from 1664 to 2983kWhm−2. This amount of energy, if fully harnessed, would not only help in narrowing the gap between energy demand and supply but also would make a significant contribution in enriching the energy generation mix of the country. The increase in the annual energy yield of the dual-axis tracker compared to the other trackers and fixed tilted at optimal angle orientations ranged from 1.86% to 31.52%. Overall, the study is expected to provide a practical guide to aid designers and installers in the selection and implementation of suitable solar trackers in the country.

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  • Okoye, Chiemeka Onyeka & Bahrami, Arian & Atikol, Ugur, 2018. "Evaluating the solar resource potential on different tracking surfaces in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1569-1581.
    • Handle: RePEc:eee:rensus:v:81:y:2018:i:p1:p:1569-1581
    DOI: 10.1016/j.rser.2017.05.235
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    3. Grażyna Frydrychowicz-Jastrzębska & Artur Bugała, 2021. "Solar Tracking System with New Hybrid Control in Energy Production Optimization from Photovoltaic Conversion for Polish Climatic Conditions," Energies, MDPI, vol. 14(10), pages 1-26, May.
    4. Yang, Qing & Huang, Tianyue & Wang, Saige & Li, Jiashuo & Dai, Shaoqing & Wright, Sebastian & Wang, Yuxuan & Peng, Huaiwu, 2019. "A GIS-based high spatial resolution assessment of large-scale PV generation potential in China," Applied Energy, Elsevier, vol. 247(C), pages 254-269.
    5. Konneh, Keifa Vamba & Adewuyi, Oludamilare Bode & Gamil, Mahmoud M. & Fazli, Agha Mohammad & Senjyu, Tomonobu, 2023. "A scenario-based multi-attribute decision making approach for optimal design of a hybrid off-grid system," Energy, Elsevier, vol. 265(C).
    6. Yang, Dazhi & Gueymard, Christian A., 2019. "Producing high-quality solar resource maps by integrating high- and low-accuracy measurements using Gaussian processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    7. Bahrami, Arian & Teimourian, Amir & Okoye, Chiemeka Onyeka & Khosravi, Nima, 2019. "Assessing the feasibility of wind energy as a power source in Turkmenistan; a major opportunity for Central Asia's energy market," Energy, Elsevier, vol. 183(C), pages 415-427.
    8. Gönül, Ömer & Yazar, Fatih & Duman, A. Can & Güler, Önder, 2022. "A comparative techno-economic assessment of manually adjustable tilt mechanisms and automatic solar trackers for behind-the-meter PV applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    9. Zhu, Yongqiang & Liu, Jiahao & Yang, Xiaohua, 2020. "Design and performance analysis of a solar tracking system with a novel single-axis tracking structure to maximize energy collection," Applied Energy, Elsevier, vol. 264(C).

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