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Assessing the Techno-Economic Impact of Derating Factors on Optimally Tilted Grid-Tied Photovoltaic Systems

Author

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  • Hasan Masrur

    (Department of Electrical & Electronics Engineering, Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

  • Keifa Vamba Konneh

    (Department of Electrical & Electronics Engineering, Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

  • Mikaeel Ahmadi

    (Department of Electrical & Electronics Engineering, Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

  • Kaisar R. Khan

    (Eversource Energy, Southborough, Boston, MA 02090, USA)

  • Mohammad Lutfi Othman

    (Advanced Lightning and Power Energy Research (ALPER), Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Seri Kembangan 43400, Selangor, Malaysia)

  • Tomonobu Senjyu

    (Department of Electrical & Electronics Engineering, Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

Abstract

Photovoltaic (PV) systems encounter substantial losses throughout their lifespan due to the different derating factors of PV modules. Those factors mainly vary according to the geographical location and PV panel characteristics. However, the available literature does not explicitly concentrate on the technical and economic impact of the derating factors within the PV system. Owing to that necessity, this study performs a comprehensive analysis of various PV loss parameters followed by a techno-economic assessment of derating factors using the average value on a grid-connected and optimally tilted PV system located in Hatiya, Bangladesh. Some criteria linked to the derating factors such as PV degradation and ambient temperature are further explored to analyze their impact on the aforementioned power system. Simulation results show that PV power generation would vary around 12% annually, subject to a 10% variation in the derating factor. Again, a 10% difference in the derating factor changes the net present cost (NPC) by around 3% to 4%. The system provides the best technical performance concerning annual PV production, power trade with the grid, and the renewable fraction at a higher value of the derating factor since it represents a lower impact of the loss parameters. Similarly, the financial performance in terms of the NPC, levelized cost of energy (LCOE), and grid power exchange cost is found to be lower when the derating factor value is higher.

Suggested Citation

  • Hasan Masrur & Keifa Vamba Konneh & Mikaeel Ahmadi & Kaisar R. Khan & Mohammad Lutfi Othman & Tomonobu Senjyu, 2021. "Assessing the Techno-Economic Impact of Derating Factors on Optimally Tilted Grid-Tied Photovoltaic Systems," Energies, MDPI, vol. 14(4), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1044-:d:500556
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    References listed on IDEAS

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    3. 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).
    4. Wu, Yan & Aziz, Syed Mahfuzul & Haque, Mohammed H., 2022. "Techno-economic modelling for energy cost optimisation of households with electric vehicles and renewable sources under export limits," Renewable Energy, Elsevier, vol. 198(C), pages 1254-1266.
    5. Konneh, Keifa Vamba & Masrur, Hasan & Konneh, David A. & Senjyu, Tomonobu, 2022. "Independent or complementary power system configuration: A decision making approach for sustainable electrification of an urban environment in Sierra Leone," Energy, Elsevier, vol. 239(PD).
    6. Youssef Kassem & Hüseyin Gökçekuş & Ali Güvensoy, 2021. "Techno-Economic Feasibility of Grid-Connected Solar PV System at Near East University Hospital, Northern Cyprus," Energies, MDPI, vol. 14(22), pages 1-27, November.

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