Comparing Outdoor to Indoor Performance for Bifacial Modules Affected by Polarization-Type Potential-Induced Degradation

Journal Article · Thu Sep 04 00:00:00 EDT 2025 · Solar

DOI:https://doi.org/10.3390/solar5030043· OSTI ID:3011917

Colvin, Dylan J. ^[1]; Molto, Cécile ^[1]; Smith, Ryan M. ^[2]; Matam, Manjunath ^[1]; Hacke, Peter ^[3]; Li, Fang ^[4]; Thompson, Brent A. ^[1]; Barkaszi, James ^[1]; Tamizhmani, Govindasamy ^[4]; Seigneur, Hubert P. ^[1]

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1. Univ. of Central Florida, Cocoa, FL (United States)
2. Pordis LLC, Austin, TX (United States)
3. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
4. Arizona State Univ., Mesa, AZ (United States)

Bifacial photovoltaic (PV) modules have the advantage of using light reflected off of the ground to contribute to power production. Predicting the energy gain is challenging and requires complex models to do so accurately. Often, module degradation over time is neglected in models for the sake of simplicity or is underestimated. Comparing outdoor and indoor current–voltage (I–V) performance for bifacial modules is more challenging than for monofacial modules, as there are additional variables to consider such as rear albedo non-uniformity, cell mismatch, and their effects on temperature. This challenge is compounded when heterogeneous degradation modes occur, such as polarization-type potential-induced degradation (PID-p). To examine the effects of PID-p on I–V predictions using an empirical data-driven approach, 16 bifacial PERC modules are installed outdoors on racks with different albedo conditions. A subset is exposed to high-voltage biases of −1500 V or +1500 V. Outdoor data are traced at irradiance ranges of 150–250 W/m², 500–600 W/m², and 900–1000 W/m². These curves are corrected using control module temperature, wire resistivity, and module resistance measured indoors. We examine several methods to transform indoor I–V curves to accurately, and more simply than existing methods, approximate outdoor performance for bifacial modules without and with varying levels of PID-p degradation. This way, bifacial performance modeling can be more accessible and informed by fielded, degraded modules. Distributions of percent errors between indoor and outdoor performance parameters and Mean Absolute Percent Errors (MAPEs) are used to assess method quality. Results including low-irradiance data (150–250 W/m²) are discussed but are filtered for quantifying method quality as these data introduce substantial errors. The method with the most optimal tradeoff between low MAPE and analysis simplicity involves measuring the front side of a module indoors at an irradiance equal to plane-of-array irradiance plus the product of module bifaciality and albedo irradiance. This method gives MAPE values of 1–6.5% for non-degraded and 1.6–5.9% for PID-p degraded module performance.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
• Grant/Contract Number: AC36-08GO28308; EE0009345
• OSTI ID: 3011917
• Report Number(s): NREL/JA--5K00-96749
• Journal Information: Solar, Journal Name: Solar Journal Issue: 3 Vol. 5; ISSN 2673-9941
• Publisher: MDPI
• Country of Publication: United States
• Language: English

Related Subjects

14 SOLAR ENERGY
I-V curve
PERC
PID
bifacial PV
characterization
curve fitting