TY - GEN
T1 - Monitoring, modelling and simulation of bifacial PV modules over normal and high albedos
AU - Bouchakour, Salim
AU - Caballero, Daniel Valencia
AU - Luna, Alvaro
AU - Medina, Eduardo Roman
AU - Boudjelthia, El Amin Kouadri
AU - Cortes, Pedro Rodriguez
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/27
Y1 - 2020/9/27
N2 - This paper explains the modelling and simulation of we modeled and simulate the power output of bifacial PV modules installed over different albedos using monofacial PV performance models (analytical and empirical). The analytical model and empirical models were evaluated using experimental data obtained from the testbed consisting of three bifacial PV arrays mounted in the same configuration but with different rear irradiance conditions: (1) backside covered by white plastic, (2) over normal albedo, and (3) over high albedo. The models use the measured effective solar irradiances and the PV module temperatures to simulate the power output in a healthy condition; they were adapted to bifacial modules by introducing the irradiance bifacial gain in the models' equations. The results of the comparison showed that both models achieved good performance to simulate the instantaneous output of the PV arrays. Daily energy relative errors during sunny days were much less than overcast days, or about 1% for both models, excluding the shading effect. However, compared to the empirical model, the analytical model achieved better performances considering the bifaciality of the PV modules. In addition, the error for the entire monitored period (74 days during March, April, and May 2020) was less than 1.5% for the analytical model, including sunny and cloudy days; such high accuracy in the energy output forecast shows that the analytical model can accurately predict the generation of bifacial PV modules under different skies conditions.
AB - This paper explains the modelling and simulation of we modeled and simulate the power output of bifacial PV modules installed over different albedos using monofacial PV performance models (analytical and empirical). The analytical model and empirical models were evaluated using experimental data obtained from the testbed consisting of three bifacial PV arrays mounted in the same configuration but with different rear irradiance conditions: (1) backside covered by white plastic, (2) over normal albedo, and (3) over high albedo. The models use the measured effective solar irradiances and the PV module temperatures to simulate the power output in a healthy condition; they were adapted to bifacial modules by introducing the irradiance bifacial gain in the models' equations. The results of the comparison showed that both models achieved good performance to simulate the instantaneous output of the PV arrays. Daily energy relative errors during sunny days were much less than overcast days, or about 1% for both models, excluding the shading effect. However, compared to the empirical model, the analytical model achieved better performances considering the bifaciality of the PV modules. In addition, the error for the entire monitored period (74 days during March, April, and May 2020) was less than 1.5% for the analytical model, including sunny and cloudy days; such high accuracy in the energy output forecast shows that the analytical model can accurately predict the generation of bifacial PV modules under different skies conditions.
KW - bifacial gain
KW - bifacial module
KW - monitoring
KW - performance modeling
KW - simulation
UR - http://www.scopus.com/inward/record.url?scp=85096779517&partnerID=8YFLogxK
U2 - 10.1109/ICRERA49962.2020.9242869
DO - 10.1109/ICRERA49962.2020.9242869
M3 - Conference contribution
AN - SCOPUS:85096779517
T3 - 9th International Conference on Renewable Energy Research and Applications, ICRERA 2020
SP - 252
EP - 256
BT - 9th International Conference on Renewable Energy Research and Applications, ICRERA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Renewable Energy Research and Applications, ICRERA 2020
Y2 - 27 September 2020 through 30 September 2020
ER -