On the uncertainty of energetic impact on the yield of different PV technologies due to varying spectral irradiance

Dirnberger, D.; Müller, Björn

doi:10.1016/j.solener.2014.10.033

Cited by 42 publications

(11 citation statements)

References 40 publications

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“…The uncertainty information for f spectral was taken from . The main contribution to uncertainty of spectral impact is the uncertainty of measured spectral distributions.…”

Section: Determination Of Input Quantities and Their Uncertaintymentioning

confidence: 99%

PV module energy rating: opportunities and limitations

Dirnberger

Müller

2015

Progress in Photovoltaics

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This article sheds new light on photovoltaic (PV) module rating according to predicted yield rather than power measured at standard testing conditions (STC). We calculate module performance ratios (MPR) for measured characteristics of eight different module types and compare them with a reference MPR calculated with typical crystalline silicon characteristics. In place of the not yet existing standardized weather data, we use commercially available weather data for three different locations. The reference MPR for the three locations were 95.5%, 94.6%, and 91.0%, respectively, with differences to the other module types of ±8% at maximum. MPR was calculated with reference to nominal power, and-following IEC 61853 -without consideration of potential degradation. The strongest contribution to the initial differences between the module types was due to differences in irradiance dependency. Standard uncertainties for all initial MPR values were calculated and range from 1.8% to 3.0%, including STC power uncertainty. We propose a module rating method that indicates whether a module type's performance is significantly above, below, or essentially equal to the reference. The method evaluates the MPR difference between module type and reference, taking uncertainty into account. Significant differences were only found between modules with obviously different characteristics, but not between the crystalline silicon module types under scrutiny. As the uncertainty analysis did not cover degradation and influences due to the use of not standardized weather data, a sensitivity analysis was performed. Long-term degradation can change the comparative energy rating significantly, whereas the selection of tilt angle and assumptions regarding module operating temperature did not have a strong effect.

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“…The uncertainty information for f spectral was taken from . The main contribution to uncertainty of spectral impact is the uncertainty of measured spectral distributions.…”

Section: Determination Of Input Quantities and Their Uncertaintymentioning

confidence: 99%

PV module energy rating: opportunities and limitations

Dirnberger

Müller

2015

Progress in Photovoltaics

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“…A detailed literature survey shows that several researchers reported spectral effects on PV module performances at different places, using different spectrum parameters, for different module technologies, using spectrum-based models and softwares and in different context, while interrelating with other parameters like temperature, module efficiency, etc. [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Further, corrections have been proposed for the incident spectrum at UK site, to include seasonal changes for single and multi-junction a-Si modules [9]. At another site in Germany, annual spectral impact and its uncertainty on a-Si, CdTe, crystalline silicon (c-Si) and CIGS technologies have been estimated and related with APE and MMF [10,11]. The highest annual spectral impact and uncertainty were reported in a-Si.…”

Section: Introductionmentioning

confidence: 99%

Effect of seasonal spectral variations on performance of three different photovoltaic technologies in India

Magare

Sastry

Gupta

et al. 2015

Int J Energy Environ Eng

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The accuracy of outdoor performance of a photovoltaic (PV) array can be improved by considering the spectral effects. In this paper, the impact of seasonal spectral variations on the three different silicon PV technologies: single junction amorphous silicon (a-Si), Heterojunction with Intrinsic Thin-layer (HIT) and multi crystalline silicon (mc-Si) has been presented first time in Indian environmental conditions. The spectral effect on HIT PV module technology has been presented first time along with the first simultaneous study of variation in spectral indicators by useful fraction (UF), average photon energy (APE) and spectral mismatch factor (MMF), based on monthly and seasonal data. The maximum observed variation in UF was 26.4, 8.2, 10.8 %, while in MMF, variation was up to 24.7, 7.6, 8.2 % for a-Si, HIT and mcSi, respectively, and in APE variation was up to 15.3 %. Among all three technology modules, first time reported HIT technology showed the least variation while maximum variation was observed in a-Si technology. The observed spectral effect variations have been discussed on Performance Ratio and compared with reported results of other global sites. The value and trends of spectral parameters are important to understand the effect of spectral variation on different technology. This study is especially important in Indian subcontinent perspective because of the strong monsoon season, where observed variation in the spectrum-related parameter found to be highest among all the seasons.

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“…It has a peak of 162 W at 01:37 pm. This is due to the positive effect of the temperature reduction, which is a consequence of the heat removal, on the PV efficiency [18][19][20]. Actually, it is possible to observe that the difference between the two curves of the electrical power is more evident in the central hours of the day, when the "cooling effect" of the combined panel is more intense, while it is negligible during the hours of smaller radiation.…”

Section: Simulation Resultsmentioning

confidence: 99%

Performance Evaluation of a Hybrid Thermal–Photovoltaic Panel

Moscatiello

Boccaletti

Alcaso

et al. 2017

IEEE Trans. on Ind. Applicat.

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A theoretical and experimental analysis of a thermal-photovoltaic panel, whose purpose is to produce both electrical and thermal energy, has been performed. In order to achieve the main objective, the different components that constitute the thermal-photovoltaic panel have been studied and a simulation model of the thermal-photovoltaic panel has been developed. Furthermore, a prototype of the whole system, consisting of a commercial panel, the thermal and electrical circuits and an innovative wireless remote data acquisition system has been setup. The latter, based on an open-source electronic platform, has the necessary accuracy, and remote data capture and flexibility features. The model has been carefully calibrated and the simulated results, based on the solar irradiance, the ambient temperature and the wind speed, have been compared with experimental data. The results are analyzed and discussed in the paper. Such a validated model can be used to establish if and when it is more convenient to use a hybrid structure rather than two separate devices (PV only and thermal collector only).

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On the uncertainty of energetic impact on the yield of different PV technologies due to varying spectral irradiance

Cited by 42 publications

References 40 publications

PV module energy rating: opportunities and limitations

PV module energy rating: opportunities and limitations

Effect of seasonal spectral variations on performance of three different photovoltaic technologies in India

Performance Evaluation of a Hybrid Thermal–Photovoltaic Panel

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