Surface Maintenance Analysis of Module PV To Improve Solar PV Performance

Authors

  • Adrian Mansur  Magister 0f Energy, Diponegoro University, Semarang, Central Java, Indonesia adrianmansur@students.undip.ac.id1
  • Heri Sutanto  Faculty of Science and Mathematics, Diponegoro University, Semarang, Central Java, Indonesia
  • Jaka Windarta  Faculty of Engineering, Diponegoro University, Semarang, Central Java, Indonesia

DOI:

https://doi.org//10.32628/IJSRST229681

Keywords:

Solar PV, Maintenance, Method, Optimal and Shading

Abstract

The performance and reliability of the SPP module plays an important role in increasing the lifetime of the SPP module, together with the investment period, as an indicator that directly reduces the electricity cost or Levelized Cost of Energy (LCOE) of each SPP installation. In this study the aim was to analyze the effect, relationship and differences in changes in surface dirtiness of the module on the performance of the 50 kWp SPP UPDL Makassar both through frequency intervention and maintenance methods. The results showed that the most optimal maintenance method was the rubbing method with optimal time and cost maintenance in a period of 2 weeks, besides that if maintenance was carried out before entering the rainy season, the module cleanliness pattern was in accordance with previous conditions, even though the amount of output produced was smaller due to reduced radiation values. This study also shows that one of the significant factors on the output of SPP is the impact of shadows on the surface of the module.

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International Journal of Scientific Research in Science and Technology

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Published

2022-12-30

Issue

Volume 9, Issue 6, November-December-2022

Section

Research Articles

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How to Cite

[1]
Adrian Mansur, Heri Sutanto, Jaka Windarta, " Surface Maintenance Analysis of Module PV To Improve Solar PV Performance, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 6, pp.586-609, November-December-2022. Available at doi : https://doi.org/10.32628/IJSRST229681