TY - GEN
T1 - Prediction of I-V characteristics for Bifacial PV Modules via an alpha-beta single double-diode model
AU - Hong, Dou
AU - Ma, Jieming
AU - Man, Ka Lok
AU - Wen, Huiqing
AU - Wong, Prudence
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Bifacial photovoltaic (PV) modules show higher output than monofacial PV modules, and therefore, an accurate model is of significance to bifacial PV system management. Traditional bifacial PV models treat the bifacial PV cell as two monofacial PV cells in parallel, and most of these studies do not address the effects of different irradiance and materials at both sides on total output in simulation. This paper presents a simplified bifacial alpha-beta single double diode model. The measurement error rate alpha is proposed to demonstrate deviation between measured data and real data which happens during the I-V or irradiance measurement. A bifacial contribution rate beta is introduced to present the ratio of output from two sides in the total generated current resulting from the different irradiance and materials. The experiment results show that the proposed model obtained the lowest errors compared with existing bifacial PV models.
AB - Bifacial photovoltaic (PV) modules show higher output than monofacial PV modules, and therefore, an accurate model is of significance to bifacial PV system management. Traditional bifacial PV models treat the bifacial PV cell as two monofacial PV cells in parallel, and most of these studies do not address the effects of different irradiance and materials at both sides on total output in simulation. This paper presents a simplified bifacial alpha-beta single double diode model. The measurement error rate alpha is proposed to demonstrate deviation between measured data and real data which happens during the I-V or irradiance measurement. A bifacial contribution rate beta is introduced to present the ratio of output from two sides in the total generated current resulting from the different irradiance and materials. The experiment results show that the proposed model obtained the lowest errors compared with existing bifacial PV models.
KW - bifacial contribution rate
KW - bifacial photovoltaic modeling
KW - bifacial photovoltaic modules
UR - http://www.scopus.com/inward/record.url?scp=85144029578&partnerID=8YFLogxK
U2 - 10.1109/ECCE50734.2022.9948042
DO - 10.1109/ECCE50734.2022.9948042
M3 - Conference Proceeding
AN - SCOPUS:85144029578
T3 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
BT - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Y2 - 9 October 2022 through 13 October 2022
ER -
