LAPSE:2018.1037
Published Article
LAPSE:2018.1037
Performance Analysis of a Grid-Connected Upgraded Metallurgical Grade Silicon Photovoltaic System
Chao Huang, Michael Edesess, Alain Bensoussan, Kwok L. Tsui
November 27, 2018
Because of their low cost, photovoltaic (PV) cells made from upgraded metallurgical grade silicon (UMG-Si) are a promising alternative to conventional solar grade silicon-based PV cells. This study investigates the outdoor performance of a 1.26 kW grid-connected UMG-Si PV system over five years, reporting the energy yields and performance ratio and estimating the long-term performance degradation rate. To make this investigation more meaningful, the performance of a mono-Si PV system installed at the same place and studied during the same period of time is presented for reference. Furthermore, this study systematizes and rationalizes the necessity of a data selection and filtering process to improve the accuracy of degradation rate estimation. The impact of plane-of-array irradiation threshold for data filtering on performance ratio and degradation rate is also studied. The UMG-Si PV system’s monthly performance ratio after data filtering ranged from 84% to 93% over the observation period. The annual degradation rate was 0.44% derived from time series of monthly performance ratio using the classical decomposition method. A comparison of performance ratio and degradation rate to conventional crystalline silicon-based PV systems suggests that performance of the UMG-Si PV system is comparable to that of conventional systems.
Keywords
data filtering, degradation rate, performance ratio, photovoltaic, upgraded metallurgical grade silicon
Suggested Citation
Huang C, Edesess M, Bensoussan A, Tsui KL. Performance Analysis of a Grid-Connected Upgraded Metallurgical Grade Silicon Photovoltaic System. (2018). LAPSE:2018.1037
Author Affiliations
Huang C: Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China [ORCID]
Edesess M: Centre for Systems Informatics Engineering, City University of Hong Kong, Kowloon, Hong Kong, China
Bensoussan A: Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China; School of Management, University of Texas at Dallas, Richardson, TX 75080-3021, USA
Tsui KL: Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China
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Journal Name
Energies
Volume
9
Issue
5
Article Number
E342
Year
2016
Publication Date
2016-05-05
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en9050342, Publication Type: Case Reports
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LAPSE:2018.1037
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doi:10.3390/en9050342
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Nov 27, 2018
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Nov 27, 2018
 
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Calvin Tsay
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