TY - GEN
T1 - Annual energy yield analysis of solar cell technology
AU - Abbott, Malcolm
AU - McIntosh, Keith
AU - Sudbury, Ben
AU - Meydbray, Jenya
AU - Fung, Tsun H.
AU - Umair Khan, Muhammad
AU - Zhang, Yu
AU - Zou, Shuai
AU - Wang, Xusheng
AU - Xing, Guoqiang
AU - Scardera, Giuseppe
AU - Payne, David
PY - 2019
Y1 - 2019
N2 - The ultimate value of any photovoltaic technology is the amount of energy it delivers once installed in the field. Gathering this data experimentally can take many years and requires great cost with limited scope to vary the input parameters. Simulations based on detailed lab measurements provide a more cost-effective option to predict the energy yield of a PV technology rapidly. This paper demonstrates the application of highly detailed ray tracing and SPICE modelling to determine the annual energy yield. It compares the simulated performance of different texturing technologies and predicts the losses at a cell, module and system level. Specifically, it studies upright random pyramids, isotexture and two types of MCCE black silicon applied to a Cz bifacial PERC cell. The difference between isotexture and random pyramids was close to 5% at the cell level, however this significantly reduced to less than 2% at a system level indicating that this analysis is critical to properly assess the ultimate value of a technology.
AB - The ultimate value of any photovoltaic technology is the amount of energy it delivers once installed in the field. Gathering this data experimentally can take many years and requires great cost with limited scope to vary the input parameters. Simulations based on detailed lab measurements provide a more cost-effective option to predict the energy yield of a PV technology rapidly. This paper demonstrates the application of highly detailed ray tracing and SPICE modelling to determine the annual energy yield. It compares the simulated performance of different texturing technologies and predicts the losses at a cell, module and system level. Specifically, it studies upright random pyramids, isotexture and two types of MCCE black silicon applied to a Cz bifacial PERC cell. The difference between isotexture and random pyramids was close to 5% at the cell level, however this significantly reduced to less than 2% at a system level indicating that this analysis is critical to properly assess the ultimate value of a technology.
UR - http://www.scopus.com/inward/record.url?scp=85077216406&partnerID=8YFLogxK
U2 - 10.1109/PVSC40753.2019.8980523
DO - 10.1109/PVSC40753.2019.8980523
M3 - Conference proceeding contribution
AN - SCOPUS:85077216406
SN - 9781728104959
SP - 3046
EP - 3050
BT - 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - 46th IEEE Photovoltaic Specialists Conference, PVSC 2019
Y2 - 16 June 2019 through 21 June 2019
ER -