IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v4y2019i4id61248.html

Performance of 20 Watts Polycrystalline Silicon Solar Module under Yola Climate, North-East Nigeria

Author

Listed:
  • Ndenah Markus Linah
  • Osita C. Meludu
  • Joseph Aidan
  • Moses Elisha Kundwal

Abstract

The performance of a 20 Watts polycrystalline silicon solar module was evaluated under Yola climatic condition. It was found that the values of short circuit current (Isc), open circuit voltage (Voc), maximum current (Imax) and maximum voltage (Vmax) of the solar module were slightly different from those labeled under Standard Test Condition (STC).This was due to lower solar irradiance under Yola climate compared to that at STC, which resulted to changes in power and efficiency of the module. The power rating of the module at STC was 20 Watts but it was found to be 12.49 Watts between 12:00 noon and 12.15 pm when the solar irradiance was 780 Wm-2. In addition, the efficiency of the module, which was 15 % at STC, was found to be 12 % at maximum irradiance of 780 Wm-2. The Fill-factor (FF) of the solar module on the other hand was 0.71 at STC but it was found to be 0.77 at solar irradiance of 780 Wm-2.

Suggested Citation

  • Ndenah Markus Linah & Osita C. Meludu & Joseph Aidan & Moses Elisha Kundwal, 2019. "Performance of 20 Watts Polycrystalline Silicon Solar Module under Yola Climate, North-East Nigeria," European Journal of Engineering and Technology Research, European Open Science, vol. 4(4), pages 70-73, April.
    • Handle: RePEc:epw:ejeng0:v:4:y:2019:i:4:id:61248
    DOI: 10.24018/ejeng.2019.4.4.1248
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/61248
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/61248/12085
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2019.4.4.1248?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Durisch, W. & Urban, J. & Smestad, G., 1996. "Characterisation of solar cells and modules under actual operating conditions," Renewable Energy, Elsevier, vol. 8(1), pages 359-366.
    2. Verma, Deepak & Nema, Savita & Shandilya, A.M. & Dash, Soubhagya K., 2016. "Maximum power point tracking (MPPT) techniques: Recapitulation in solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1018-1034.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Messalti, Sabir & Harrag, Abdelghani & Loukriz, Abdelhamid, 2017. "A new variable step size neural networks MPPT controller: Review, simulation and hardware implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 221-233.
    2. Amjad Ali & Kashif Irshad & Mohammad Farhan Khan & Md Moinul Hossain & Ibrahim N. A. Al-Duais & Muhammad Zeeshan Malik, 2021. "Artificial Intelligence and Bio-Inspired Soft Computing-Based Maximum Power Plant Tracking for a Solar Photovoltaic System under Non-Uniform Solar Irradiance Shading Conditions—A Review," Sustainability, MDPI, vol. 13(19), pages 1-26, September.
    3. Yazhou Zhao & Xiangxi Qin & Xiangyu Shi, 2022. "A Comprehensive Evaluation Model on Optimal Operational Schedules for Battery Energy Storage System by Maximizing Self-Consumption Strategy and Genetic Algorithm," Sustainability, MDPI, vol. 14(14), pages 1-34, July.
    4. Mostafa Ahmed & Mohamed Abdelrahem & Ibrahim Harbi & Ralph Kennel, 2020. "An Adaptive Model-Based MPPT Technique with Drift-Avoidance for Grid-Connected PV Systems," Energies, MDPI, vol. 13(24), pages 1-25, December.
    5. Haoming Liu & Muhammad Yasir Ali Khan & Xiaoling Yuan, 2023. "Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review," Energies, MDPI, vol. 16(15), pages 1-64, July.
    6. Yinxiao Zhu & Moon Keun Kim & Huiqing Wen, 2018. "Simulation and Analysis of Perturbation and Observation-Based Self-Adaptable Step Size Maximum Power Point Tracking Strategy with Low Power Loss for Photovoltaics," Energies, MDPI, vol. 12(1), pages 1-20, December.
    7. Mostafa Ahmed & Ibrahim Harbi & Ralph Kennel & José Rodríguez & Mohamed Abdelrahem, 2022. "Evaluation of the Main Control Strategies for Grid-Connected PV Systems," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    8. Doaa Khodair & Saad Motahhir & Hazem H. Mostafa & Ahmed Shaker & Hossam Abd El Munim & Mohamed Abouelatta & Ahmed Saeed, 2023. "Modeling and Simulation of Modified MPPT Techniques under Varying Operating Climatic Conditions," Energies, MDPI, vol. 16(1), pages 1-20, January.
    9. Efrain Mendez-Flores & Alexandro Ortiz & Israel Macias & Arturo Molina, 2022. "Experimental Validation of an Enhanced MPPT Algorithm and an Optimal DC–DC Converter Design Powered by Metaheuristic Optimization for PV Systems," Energies, MDPI, vol. 15(21), pages 1-35, October.
    10. Durisch, Wilhelm & Tille, Dierk & Wörz, A. & Plapp, Waltraud, 2000. "Characterisation of photovoltaic generators," Applied Energy, Elsevier, vol. 65(1-4), pages 273-284, April.
    11. Belqasem Aljafari & Siva Rama Krishna Madeti & Priya Ranjan Satpathy & Sudhakar Babu Thanikanti & Bamidele Victor Ayodele, 2022. "Automatic Monitoring System for Online Module-Level Fault Detection in Grid-Tied Photovoltaic Plants," Energies, MDPI, vol. 15(20), pages 1-28, October.
    12. Başoğlu, Mustafa Engin & Çakır, Bekir, 2016. "Comparisons of MPPT performances of isolated and non-isolated DC–DC converters by using a new approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1100-1113.
    13. Haidar Islam & Saad Mekhilef & Noraisyah Binti Mohamed Shah & Tey Kok Soon & Mehdi Seyedmahmousian & Ben Horan & Alex Stojcevski, 2018. "Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems," Energies, MDPI, vol. 11(2), pages 1-24, February.
    14. Azhar Ul-Haq & Carlo Cecati & Essam A. Al-Ammar, 2016. "Modeling of a Photovoltaic-Powered Electric Vehicle Charging Station with Vehicle-to-Grid Implementation," Energies, MDPI, vol. 10(1), pages 1-20, December.
    15. Kishore, D.J. Krishna & Mohamed, M.R. & Sudhakar, K. & Peddakapu, K., 2023. "Swarm intelligence-based MPPT design for PV systems under diverse partial shading conditions," Energy, Elsevier, vol. 265(C).
    16. Amir, A. & Amir, A. & Selvaraj, J. & Rahim, N.A., 2016. "Study of the MPP tracking algorithms: Focusing the numerical method techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 350-371.
    17. Yang, Feng & Du, Lin & Chen, Weigen & Li, Jian & Wang, Youyuan & Wang, Disheng, 2017. "Hybrid energy harvesting for condition monitoring sensors in power grids," Energy, Elsevier, vol. 118(C), pages 435-445.
    18. Arshdeep Singh & Shimi Sudha Letha, 2019. "Emerging energy sources for electric vehicle charging station," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(5), pages 2043-2082, October.
    19. Jeongjin Yeo & Taeyoung Kim & Jae Kyung Jang & Yoonseok Yang, 2018. "Practical Maximum-Power Extraction in Single Microbial Fuel Cell by Effective Delivery through Power Management System," Energies, MDPI, vol. 11(9), pages 1-11, September.
    20. Arsad, A.Z. & Zuhdi, A.W. Mahmood & Azhar, A.D. & Chau, C.F. & Ghazali, A., 2025. "Advancements in maximum power point tracking for solar charge controllers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejeng0:v:4:y:2019:i:4:id:61248. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.