Deterioration Diagnosis Algorithm for Photovoltaic Modules by Considering Electrical Characteristics and Environmental Factors

AUTHORS

Sungsik Choi,Korea University of Technology and Education
Hudong Lee,Korea University of Technology and Education
Marito Ferreira,Korea University of Technology and Education
Jihyun Park,Korea University of Technology and Education
Daeseok Rho,Korea University of Technology and Education

ABSTRACT

National policies have been emerging that call for minimizing the built environment's contribution to climate change by means of a comprehensive shift to low-energy buildings powered by renewable energy sources. These policies address other urgent global problems such as depleting energy resources and high energy costs. Under these circumstances, the installations of PV systems which has occupied most one of renewable energy sources have been increasing due to the worldwide interests in eco-friendly and renewable solar energy sources. However, the electrical performance and life span of PV modules installed at outside of buildings has been gradually degraded because the various external environmental conditions such as temperature, humidity, ultra-violet and so on, may cause the deterioration of PV modules. In order to overcome these problems, this paper proposes a diagnosis algorithm for deterioration state of PV modules by considering the electrical characteristics and environmental factors, which is strongly related with annual degradation of PV modules. And also, this paper implements a diagnosis system of PV modules based on the proposed algorithm. From the test results based on the proposed algorithm and diagnosis system of PV modules, it is confirmed that they are practical and useful tool to the performance improvement of PV modules.

 

KEYWORDS

deterioration state, deterioration diagnosis, electrical characteristics, environmental factors, PV modules small hydropower generator

REFERENCES

[1]     Charles J. Kibert and Maryam Mirhadi Fard, “Differentiating among low-energy, low-carbon and net-zero-energy building strategies for policy formulation,” Building Research & Information, vol.40,no.5, pp.625-637, (2012) DOI:10.1080/09613218.2012.703489(CrossRef)(Google Scholar)
[2]     Jaehong. Seo, J. Hernandez, and G. Gordillo, “Solar Market and Policy Issues”, Korea Photovoltaic Society,” vol.3, no.2, pp.94-99, (2017)
[3]     G.H.Kang, K.S.Kim, C.H.Park, G.J.Yu, H. K.Ahn and D. Y. Han, “Analysis of Durability and Drop rate of Maximum Output Power for Field aged Photovoltaic Modules,” 24th Euro-PVSEC, pp.3349-3351, (2009)
[4]     Choi Sungsik, Kim Kiyoung, Park Jaebeom, Wang Jongyong and Rho Daeseok, “Development of State Diagnosis Algorithm for Performance Improvement of PV System,” Journal of the Korea Academic Industrial cooperation Society, (2014)
[5]     A.R .Gxasheka, “Evaluation of performance parameters of PV modules deployed outdoors,” Renewable Energy, vol.30, pp.611-620, (2004) DOI: 10.1016/j.renene.2004.06.005(CrossRef)(Google Scholar)

CITATION

  • APA:
    Choi,S.& Lee,H.& Ferreira,M.& Park,J.& Rho,D.(2019). Deterioration Diagnosis Algorithm for Photovoltaic Modules by Considering Electrical Characteristics and Environmental Factors. Asia-Pacific Journal of Advanced Research in Electrical and Electronics Engineering, 3(1), 1-6. 10.21742/AJAEEE.2019.3.1.01
  • Harvard:
    Choi,S., Lee,H., Ferreira,M., Park,J., Rho,D.(2019). "Deterioration Diagnosis Algorithm for Photovoltaic Modules by Considering Electrical Characteristics and Environmental Factors". Asia-Pacific Journal of Advanced Research in Electrical and Electronics Engineering, 3(1), pp.1-6. doi:10.21742/AJAEEE.2019.3.1.01
  • IEEE:
    [1] S.Choi, H.Lee, M.Ferreira, J.Park, D.Rho, "Deterioration Diagnosis Algorithm for Photovoltaic Modules by Considering Electrical Characteristics and Environmental Factors". Asia-Pacific Journal of Advanced Research in Electrical and Electronics Engineering, vol.3, no.1, pp.1-6, Nov. 2019
  • MLA:
    Choi Sungsik, Lee Hudong, Ferreira Marito, Park Jihyun and Rho Daeseok. "Deterioration Diagnosis Algorithm for Photovoltaic Modules by Considering Electrical Characteristics and Environmental Factors". Asia-Pacific Journal of Advanced Research in Electrical and Electronics Engineering, vol.3, no.1, Nov. 2019, pp.1-6, doi:10.21742/AJAEEE.2019.3.1.01

ISSUE INFO

  • Volume 3, No. 1, 2019
  • ISSN(p):2207-449X
  • ISSN(e):2207-4503
  • Published:Nov. 2019

DOWNLOAD