Evaluation of Photovoltaic Module Performance Using Novel Data-driven I-V Feature Extraction and Suns-V<sub>OC</sub> Determined from Outdoor Time-Series I-V Curves

Wang, Menghong; Ma, Xuan; Huang, Wei-Heng; Liu, Jiqi; Curran, Alan J.; Schnabel, Erdmut; Köhl, Michael; Davis, Kristopher O.; Brynjarsdóttir, Jenný; Braid, Jennifer L.; French, Roger H.

doi:10.1109/pvsc.2018.8547772

Cited by 11 publications

(7 citation statements)

References 13 publications

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“…In the laboratory, it is relatively easy to set up tests to track the performance at the maximum power point; however, such control is intrinsically unreasonable outdoors. The illumination and temperature variations induced by day-night, seasonal and weather conditions necessitate a systematic analysis of a high quantity of data, depending on the measurement sampling rate and exposure time 24 . Hence, in such power loss studies, it is common to correct for temperature and irradiance in the I-V curves in accordance with the standard test conditions (STC, corresponding to an irradiance of 1000 W/m 2 and a module temperature of 25 °C).…”

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confidence: 99%

High-throughput analysis of the ideality factor to evaluate the outdoor performance of perovskite solar minimodules

2021

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Halide perovskite solar cells (PSCs) exhibit a unique combination of properties, including ion migration, low nonradiative recombination and low performance dependence on temperature. Because of these idiosyncrasies, it is debatable whether standard procedures for assessing photovoltaic technologies are sufficient to appropriately evaluate this technology. Here, we show a low dependence of the open-circuit voltage on the temperature of a MAPbI 3 minimodule that allows a high-throughput outdoor analysis based on the ideality factor (n ID ). Accordingly, three representative power loss tendencies obtained from I-V curves measured with standard procedures are compared with their corresponding n ID patterns under outdoor conditions. Therefore, based on the linear relationship between T 80 and the time to reach n ID =2 (T nID2 ) is demonstrate that n ID analysis could offer important complementary information with important implications for the outdoor development of this technology, providing physical insight into the recombination mechanism dominating the performance, improving the understanding of the degradation processes and device characterization.To evaluate the lifetime of a photovoltaic device, a parameter that refers to the time at which the device reaches 80% of its initial rated power (T 80 ) is commonly used as a figure of merit. T 80 depends on various factors, such as the materials and procedures used for device fabrication, cell interconnects, weather conditions, seasonal variations, installation conditions, shading and soiling effects, and electrical mismatch between cells 1 . This parameter is commonly obtained from the relationship between the maximum power and time in a long-term analysis of a device under real outdoor operating conditions. Moreover, considering that the performance over time shows seasonal behavior and a 2 gradual performance loss tendency, T 80 has been commonly fitted using statistical methods, such as linear regression, to estimate the degradation rate 2 . However, in the case of emerging technologies such as perovskite solar cells (PSCs), most stability studies have focused on small, laboratory-scale devices operating indoors, and few statistical data have been collected under real outdoor operation 3 . Nevertheless, under high-irradiance conditions, PSCs demonstrate significant differences from conventional Si cells, as has been shown for perovskite minimodules operating outdoors 4 and for nonencapsulated solar cells under simulated weather conditions in the laboratory 5 . These results indicate that PSCs show lower correlations of their performance and open-circuit voltage (V oc ) with temperature than other commercial technologies, such as silicon 6 , for which the deleterious effects of temperature on performance are well known 7,8 . This difference in temperature sensitivity is an important aspect of PSC technology.PSCs are expected to have a significant impact in the future if they are able to provide significant performance outdoors. Outdoor conditions are highly demand...

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confidence: 99%

High-throughput analysis of the ideality factor to evaluate the outdoor performance of perovskite solar minimodules

2021

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“…In the case of the commercial solar cell, with an average solar irradiance of 1061.515 W m −2 , the photoelectric efficiency (i.e., 𝜂) is 10.06% and the maximum power (i.e., P max ) is 106.85 W m −2 (detailed description is provided in Section S4, Supporting Infomation). [49,50] Figure 5c-(ii) illustrates that the solar cell not only generates electric energy but also heat. The temperature of the solar cell (T Solar cell ) maintains ≈80 °C, as the double-stack of TEG provides thermal insulation between the solar cell and the RC film.…”

Section: Indoor/outdoor Experiments For Optimizing Power Generation S...mentioning

confidence: 99%

Parabolic Mirror‐Assisted Thermoelectric and Radiative Cooling System for Maximizing Power Generation Utilizing Solar and Outer Space Thermodynamic Resources

Jeong

Kim

et al. 2023

Adv Materials Inter

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Radiative cooling technology is extensively researched as a green technology, leveraging outer space as a thermodynamic resource. Recently, integrating thermoelectric generators (TEGs) and radiative coolers (RCs) are proposed to generate power using the temperature difference between the ambient and the radiative cooler. However, current TEG‐RC systems only utilize one thermodynamic resource, resulting in suboptimal efficiency. It proposes a parabolic mirror‐assisted TEG‐RC system that fully utilizes both the Sun and outer space as thermodynamic resources. The system places the hot side of the TEG, covered by a solar absorber (SA), at the focal point of the parabolic mirror, while the RC is located on the cold side of the TEG. Theoretical and experimental results reveal the optimal ratio between the RC and SA sizes to balance the power mismatch between cooling and heating powers. It also finds that the number of TEG stacks significantly affects power generation efficiency and determines the optimal number. Outdoor measurements demonstrate exceptional power generation during the daytime, which is an unprecedented achievement. This study also demonstrates the further enhancement in power generation efficiency when the proposed system is integrated with concentrated solar cells instead of the SA.

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“…Equation 4shows the relationship we use between V OC and irradiance, where coefficients b 0 ; b 1 , and b 2 are fit parameters, and T is the specified translation temperature. 44 b 0 is the fully illuminated V OC at the specified temperature, b 1 is proportional to the thermal voltage at the specified temperature, and b 2 is the temperature coefficient of V OC under fully illuminated conditions, assumed to be linear for all irradiance conditions. A least squares fitting algorithm was used to perform temperature translations with independent translations performed for each day of collected data.…”

Section: Temperature Sensing and Normalizationmentioning

confidence: 99%

Monitoring of Photovoltaic System Performance Using Outdoor Suns-VOC

Killam

Karas

Augusto

et al. 2021

Joule

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Evaluation of Photovoltaic Module Performance Using Novel Data-driven I-V Feature Extraction and Suns-V_OC Determined from Outdoor Time-Series I-V Curves

Cited by 11 publications

References 13 publications

High-throughput analysis of the ideality factor to evaluate the outdoor performance of perovskite solar minimodules

High-throughput analysis of the ideality factor to evaluate the outdoor performance of perovskite solar minimodules

Parabolic Mirror‐Assisted Thermoelectric and Radiative Cooling System for Maximizing Power Generation Utilizing Solar and Outer Space Thermodynamic Resources

Monitoring of Photovoltaic System Performance Using Outdoor Suns-VOC

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Evaluation of Photovoltaic Module Performance Using Novel Data-driven I-V Feature Extraction and Suns-VOC Determined from Outdoor Time-Series I-V Curves

Cited by 11 publications

References 13 publications

High-throughput analysis of the ideality factor to evaluate the outdoor performance of perovskite solar minimodules

High-throughput analysis of the ideality factor to evaluate the outdoor performance of perovskite solar minimodules

Parabolic Mirror‐Assisted Thermoelectric and Radiative Cooling System for Maximizing Power Generation Utilizing Solar and Outer Space Thermodynamic Resources

Monitoring of Photovoltaic System Performance Using Outdoor Suns-VOC

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Evaluation of Photovoltaic Module Performance Using Novel Data-driven I-V Feature Extraction and Suns-V_OC Determined from Outdoor Time-Series I-V Curves