TY - GEN
T1 - Comparison of modeled and experimental PV array temperature profiles for accurate interpretation of module performance and degradation
AU - Elwood, Teri
AU - Simmons-Potter, Kelly
N1 - Funding Information:
This work was supported by the Arizona Research Institute for Solar Energy (AzRISE) and by Tucson Electric Power Corporation (TEP).
Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2017
Y1 - 2017
N2 - Quantification of the effect of temperature on photovoltaic (PV) module efficiency is vital to the correct interpretation of PV module performance under varied environmental conditions. However, previous work has demonstrated that PV module arrays in the field are subject to significant location-based temperature variations associated with, for example, local heating/cooling and array edge effects. Such thermal non-uniformity can potentially lead to under-prediction or over-prediction of PV array performance due to an incorrect interpretation of individual module temperature de-rating. In the current work, a simulated method for modeling the thermal profile of an extended PV array has been investigated through extensive computational modeling utilizing ANSYS, a high-performance computational fluid dynamics (CFD) software tool. Using the local wind speed as an input, simulations were run to determine the velocity at particular points along modular strings corresponding to the locations of temperature sensors along strings in the field. The point velocities were utilized along with laminar flow theories in order to calculate Nusselt's number for each point. These calculations produced a heat flux profile which, when combined with local thermal and solar radiation profiles, were used as inputs in an ANSYS Thermal Transient model that generated a solar string operating temperature profile. A comparison of the data collected during field testing, and the data fabricated by ANSYS simulations, will be discussed in order to authenticate the accuracy of the model.
AB - Quantification of the effect of temperature on photovoltaic (PV) module efficiency is vital to the correct interpretation of PV module performance under varied environmental conditions. However, previous work has demonstrated that PV module arrays in the field are subject to significant location-based temperature variations associated with, for example, local heating/cooling and array edge effects. Such thermal non-uniformity can potentially lead to under-prediction or over-prediction of PV array performance due to an incorrect interpretation of individual module temperature de-rating. In the current work, a simulated method for modeling the thermal profile of an extended PV array has been investigated through extensive computational modeling utilizing ANSYS, a high-performance computational fluid dynamics (CFD) software tool. Using the local wind speed as an input, simulations were run to determine the velocity at particular points along modular strings corresponding to the locations of temperature sensors along strings in the field. The point velocities were utilized along with laminar flow theories in order to calculate Nusselt's number for each point. These calculations produced a heat flux profile which, when combined with local thermal and solar radiation profiles, were used as inputs in an ANSYS Thermal Transient model that generated a solar string operating temperature profile. A comparison of the data collected during field testing, and the data fabricated by ANSYS simulations, will be discussed in order to authenticate the accuracy of the model.
KW - Computational modeling
KW - Heat flux profile
KW - Photovoltaic
KW - Photovoltaic array operating temperature
KW - Solar string operating temperature
KW - Temperature profile
KW - Thermal flux model
KW - Thermal transient model
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U2 - 10.1117/12.2274146
DO - 10.1117/12.2274146
M3 - Conference contribution
AN - SCOPUS:85039044330
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Reliability of Photovoltaic Cells, Modules, Components, and Systems X
A2 - Kempe, Michael D.
A2 - Dhere, Neelkanth G.
A2 - Sakurai, Keiichiro
PB - SPIE
T2 - Reliability of Photovoltaic Cells, Modules, Components, and Systems X 2017
Y2 - 6 August 2017 through 7 August 2017
ER -