Flat roof integration of a-Si triple junction modules laminated together with flexible polyolefin membranes

Pola, I.; Chianese, D.; Bernasconi, Angelo

doi:10.1016/j.solener.2007.04.010

Cited by 18 publications

(6 citation statements)

References 4 publications

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“…More in general, the effect will be more pronounced in Southern than in Northern Europe; nevertheless, this will highly depend on the local meteorological conditions, rather than on the latitude only. Moreover, for building‐integrated PV installations, because of remarkably higher average temperatures of the modules , the SW effects will be even more pronounced and keep the modules in a regenerated state for a much longer period . Spectral effects : if we consider the range of variation during the year of AM values at noon—for clear‐sky conditions—in different parts of Europe and the dependence of the performance of our single‐junction a‐Si module on AM‐values, by multiplying this value (−5.8%/AM‐unit, see Figure ) by the difference Δ AM between maximum and minimum AM values (winter and summer solstices), we may expect the amplitude of the phenomenon—for the same locations—to be in the range of ~5.6% and ~17.5% in Athens and Lubeck, respectively. These data are shown in Table .…”

Section: Resultsmentioning

confidence: 99%

Seasonal power fluctuations of amorphous silicon thin-film solar modules: distinguishing between different contributions

Virtuani

Fanni

2012

Prog. Photovolt: Res. Appl.

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Several works report on seasonal fluctuations of power production of amorphous silicon (a-Si). These oscillations are due to two overlapping phenomena (i) spectral and (ii) the Staebler-Wronski effects. It is hence difficult to assess-for a given location and climatic conditions-which one has the largest impact. By means of a straightforward approach based on two sets of singlejunction a-Si photovoltaic modules (stored indoors/exposed outdoors) and on two different I-V measurement set-ups (indoor and outdoor), we were able to separate the different contributions to this phenomenon. For the test-site of Lugano, seasonal oscillations account for performance variations of a-Si of~10% (AE5% around an annual average value with a minimum around the mid of January and a maximum around mid-July). The time-phase of the overall effect lies in between that of the two distinguished phenomena. (i) Spectral variations seem to have the highest impact on the outdoor performance of a-Si with an amplitude corresponding to 10.5% (AE~5.2%). Moreover, the influence of spectral variations on the outdoor performance of a-Si (and for comparison of c-Si) was modeled, and the experimental data were found to be in excellent agreement with the theoretical simulation; (ii) the Staebler-Wronski effect has a slightly lower influence with an amplitude of~8% (AE4% with a minimum at the middle of February and a maximum around mid-August). Because of the position (46 N) and average climatic conditions (southern Alpine climate) of Lugano, these observations are possibly representative of a large part of continental Europe.

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Section: Resultsmentioning

confidence: 99%

Seasonal power fluctuations of amorphous silicon thin-film solar modules: distinguishing between different contributions

Virtuani

Fanni

2012

Prog. Photovolt: Res. Appl.

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“…For BIPV installations the challenge would be to properly model the operating temperatures of the modules which compared to free-standing installations are much higher (i.e. for clear-sky days generally up to +20°C (Pola et al, 2007;Sample and Virtuani, 2009). …”

Section: Extension To Different Installation Sites and Type Of Instalmentioning

confidence: 99%

A simple approach to model the performance of photovoltaic solar modules in operation

2015

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“…This kind of mounting systems do not allow effective module cooling via rear-side ventilation, resulting in higher operating temperatures. It has been shown that annealing mechanisms in 3j-a-Si modules are more effective at higher temperatures close to 80 • C [38]. It is expected that nonoptimal system cooling caused higher operating temperatures, which in turn led to boosted thermal annealing affects, represented in positive PLR 1 values.…”

Section: B Ms-pl Algorithm Applied To Time Series Of Pv Systems At the Airport Of Bolzanomentioning

confidence: 99%

New PV Performance Loss Methodology Applying a Self-Regulated Multistep Algorithm

Lindig

Louwen

Moser

et al. 2021

IEEE J. Photovoltaics

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Analyses of performance loss rates in photovoltaic (PV) systems are not yet standardized, and are typically carried out by a linear regression of the evolution of a certain performance metric (e.g., performance ratio, yield, etc.) over time. In this article, we propose a novel methodology of advanced PV system performance loss rate modeling applying a self-regulated multistep algorithm. The developed algorithm automatically detects the number and positions of breakpoints in nonlinear performance time series and divides the performance trend into an adequate number of linear segments. Instead of calculating one linear performance loss rate, given in percentage per year, as is common practice, multiple linear performance loss values are determined, depending on the trend of the time series and subsequently the number of breakpoints. The algorithm is fully automated. We have applied our methodology on data of an experimental PV installation in Bolzano/Italy, which consists of 26 different PV systems. The overall linear performance loss rate of the facility's crystalline silicon systems is between −0.5 and −1.3%/year, whereas the thin-film PV systems experience values between −0.6 and −2.4%/year. Based on our results, the algorithm appears to be stable and accurate. The methodology is to be used as a fast and automated check of PV systems in operation to detect anomalies affecting performance (in an early stage). By building up a large database of detected issues in the field this algorithm will enable us to better understand the performance evolution of different PV system types in varying climates.

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Flat roof integration of a-Si triple junction modules laminated together with flexible polyolefin membranes

Cited by 18 publications

References 4 publications

Seasonal power fluctuations of amorphous silicon thin-film solar modules: distinguishing between different contributions

Seasonal power fluctuations of amorphous silicon thin-film solar modules: distinguishing between different contributions

A simple approach to model the performance of photovoltaic solar modules in operation

New PV Performance Loss Methodology Applying a Self-Regulated Multistep Algorithm

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