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Development of an algebraic model that predicts the maximum power output of solar modules including their degradation

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  • Park, Nochang
  • Kim, Ju-Hee
  • Kim, Hyun-A.
  • Moon, Jin-Chel

Abstract

This study is focused on the development of a predicting model of maximum power output, which contains the algorithms of photovoltaic (PV) module degradation. These algorithms enable the model to calculate the power decrease as time goes by. PV plants are expected to operate for over 20 years. This results in the decrease of power output for the operation. By incorporating a number of accelerated tests, the degradation rate of mono–crystalline silicon PV modules was determined. These included: five temperature–humidity tests and three thermal cyclic tests. The results of temperature–humidity test illustrate that degradation rate depends on the thermal activation energy as well as the humidity parameter. Similarly, the results of thermal cyclic test demonstrate that decrease in power output is affected by thermal activation energy; however, it was also influenced by the temperature difference between maximum and minimum. In order to verify the accuracy of developed model, PV modules have been exposed to outdoor conditions (Dec 2014–Nov 2016). The final results proved that the developed model with the algorithms of PV module degradation was more accurate than that of predicted model without degradation algorithms in predicting the power output for long-term operation.

Suggested Citation

  • Park, Nochang & Kim, Ju-Hee & Kim, Hyun-A. & Moon, Jin-Chel, 2017. "Development of an algebraic model that predicts the maximum power output of solar modules including their degradation," Renewable Energy, Elsevier, vol. 113(C), pages 141-147.
    • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:141-147
    DOI: 10.1016/j.renene.2017.05.073
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    References listed on IDEAS

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    1. Paulescu, Marius & Badescu, Viorel & Dughir, Ciprian, 2014. "New procedure and field-tests to assess photovoltaic module performance," Energy, Elsevier, vol. 70(C), pages 49-57.
    2. Cañete, Cristina & Carretero, Jesús & Sidrach-de-Cardona, Mariano, 2014. "Energy performance of different photovoltaic module technologies under outdoor conditions," Energy, Elsevier, vol. 65(C), pages 295-302.
    3. Meyer, E.L & van Dyk, E.E, 2000. "Development of energy model based on total daily irradiation and maximum ambient temperature," Renewable Energy, Elsevier, vol. 21(1), pages 37-47.
    4. Touati, Farid & Al-Hitmi, M.A. & Chowdhury, Noor Alam & Hamad, Jehan Abu & San Pedro Gonzales, Antonio J.R., 2016. "Investigation of solar PV performance under Doha weather using a customized measurement and monitoring system," Renewable Energy, Elsevier, vol. 89(C), pages 564-577.
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    Cited by:

    1. Rahman, Md Momtazur & Khan, Imran & Alameh, Kamal, 2021. "Potential measurement techniques for photovoltaic module failure diagnosis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).

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