Performance Analysis of a Grid-Connected Upgraded Metallurgical Grade Silicon Photovoltaic SystemReport as inadecuate




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Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China

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Centre for Systems Informatics Engineering, City University of Hong Kong, Kowloon, Hong Kong, China

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School of Management, University of Texas at Dallas, Richardson, TX 75080-3021, USA





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Author to whom correspondence should be addressed.



Academic Editor: Tapas Mallick

Abstract 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. View Full-Text

Keywords: photovoltaic; upgraded metallurgical grade silicon; data filtering; performance ratio; degradation rate photovoltaic; upgraded metallurgical grade silicon; data filtering; performance ratio; degradation rate





Author: Chao Huang 1,* , Michael Edesess 2, Alain Bensoussan 1,3 and Kwok L. Tsui 1

Source: http://mdpi.com/



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