Performance Prediction of Solar Cell Using Virtual Production Simulation

Abstract

Recent advancements in renewable energy harvesting system have triggered the photovoltaic research in different dimensions. It has enabled rapid development of systems for renewable energy production. To yield an effective production of solar energy, it has become mandatory to predict the solar cell performance virtually. Such prediction will lead to performance analysis before the commencement of solar cell production. Virtual performance analysis of solar cell will support better design, analysis and control of photovoltaic systems. By an appropriate choice of software tool, performance prediction of solar cells will minimize time and cost by virtual production analysis. The work presented in this paper provides successful production rate of solar cell. For analysis, 10,000 samples have been taken into virtual performance analysis, where 9337 successful samples have been yielded. Thus, electrical yield of 92% have been obtained using photo luminescent (PL) imaging. It is observe that analysis without photo luminescent (PL) imaging have electrical yield of 86.2%. The defect rate of solar cells has been minimized through virtual performance prediction. Around 5.8% of increase in electrical yield has been observed through PL imaging.