TY - GEN
T1 - Sensitivity analysis of the effect of forced convection on photovoltaic module temperature and energy yield
AU - Chowdhury, Mohammed Gofran
AU - Goverde, Hans
AU - Manganiello, Patrizio
AU - Voroshazi, Eszter
AU - Poortmans, Jef
AU - Catthoor, Francky
PY - 2019/6
Y1 - 2019/6
N2 - With the growing competition of utility-scale photovoltaic (PV) plants to provide electricity to the grid, accurate energy yield simulation is becoming essential. Apart from irradiance, forced convection can have an equally significant impact on solar cell temperature, which in turn affects the power output, hence the energy yield. As a consequence, the wind must be taken into account for an accurate estimation of PV installations' energy yield. However, no earlier studies have systematically investigated the impact of wind on precise energy yield simulation. In this study, we investigate how sensitive is PV module's output to forced convection. First, we reveal a significant deviation between the simulated PV module's energy yield and cell temperature compared to experimental results in case dynamic wind effects are neglected. Secondly, for controlled incremental forced convection with a steady state scenario, we show that for higher wind speed the change of PV module's cell temperature and power output is small with different forced convection. Whereas, for the low wind speed, small changes of forced convection imply a larger variation of the PV module's cell temperature and power output. This shows that for high wind speed region energy yield estimation is less sensitive on modelling errors. Whereas for the low wind speed region it is highly sensitive.
AB - With the growing competition of utility-scale photovoltaic (PV) plants to provide electricity to the grid, accurate energy yield simulation is becoming essential. Apart from irradiance, forced convection can have an equally significant impact on solar cell temperature, which in turn affects the power output, hence the energy yield. As a consequence, the wind must be taken into account for an accurate estimation of PV installations' energy yield. However, no earlier studies have systematically investigated the impact of wind on precise energy yield simulation. In this study, we investigate how sensitive is PV module's output to forced convection. First, we reveal a significant deviation between the simulated PV module's energy yield and cell temperature compared to experimental results in case dynamic wind effects are neglected. Secondly, for controlled incremental forced convection with a steady state scenario, we show that for higher wind speed the change of PV module's cell temperature and power output is small with different forced convection. Whereas, for the low wind speed, small changes of forced convection imply a larger variation of the PV module's cell temperature and power output. This shows that for high wind speed region energy yield estimation is less sensitive on modelling errors. Whereas for the low wind speed region it is highly sensitive.
KW - energy
KW - Photovoltaic systems
KW - power generation
KW - prediction methods
KW - sensitivity analysis
KW - temperature
UR - http://www.scopus.com/inward/record.url?scp=85081606218&partnerID=8YFLogxK
U2 - 10.1109/PVSC40753.2019.8980517
DO - 10.1109/PVSC40753.2019.8980517
M3 - Conference contribution
AN - SCOPUS:85081606218
T3 - Conference Record of the IEEE Photovoltaic Specialists Conference
SP - 1237
EP - 1241
BT - 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 46th IEEE Photovoltaic Specialists Conference, PVSC 2019
Y2 - 16 June 2019 through 21 June 2019
ER -