Application of Photocurrent Model on Polymer Solar Cells Under Forward Bias Stress

Rizzo, Antonio; Torto, Lorenzo; Wrachien, Nicola; Corazza, Michael; Krebs, Frederik C.; Gevorgyan, Suren A.; Cester, Andrea

doi:10.1109/jphotov.2016.2603841

Cited by 4 publications

(1 citation statement)

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“…In order to prove that OPV can become competitive in the photovoltaic market, it is of the outmost importance to demonstrate that OPV is competitive in terms of cost, efficiency, and reliability . Although it has already been proven that OPV scalability can be easily extended, with low resource claims and at low cost, significant research is still required to improve efficiency and stability . Improving OPV efficiency to 5% with 5 years lifetime would bring the cost of electricity generated by this technology on a level that would challenge the fossil fuels .…”

Section: Introductionmentioning

confidence: 99%

A Novel Algorithm for Lifetime Extrapolation, Prediction, and Estimation of Emerging PV Technologies

et al. 2017

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challenge the fossil fuels. [3] Although today's lab scale OPV reach 10-12% and recent studies proved that overcoming the 5% efficiency limit is possible on large modules, [10][11][12] the optimization of lifetime is still lacking behind. [13,14] In order to improve and demonstrate the lifetime and stability of OPVs it is necessary to set standards for testing the stability. Due to the structural and material differences between OPV and inorganic technology, the existing standards for inorganics technology are not applicable for OPVs. [1] Thus, a fair comparison of the stresses performed in different laboratories with different custom setup is usually hard to reach for such technologies. [15] Indeed, not only the different stress procedure but also the large variability of devices structure and polymers/materials result in several different ageing mechanisms. Modeling the ageing behavior of organic solar cells using the mathematical approach is therefore rather difficult. In 2011, at the International Summit on OPV Stability (ISOS), the first step toward standardization of lifetime testing was done, [16] and guidelines were established for stability testing of organic solar cells, which each laboratory could refer to. [17] The guidelines were aimed to give a tool for performing harmonized and comparable lifetime data. In the guidelines, both indoor and outdoor tests with different illumination and moisture-controlled conditions were included. ISOS helped eliminating the challenges related to diversity of equipment and test conditions used among different laboratories.Nevertheless, the lifetime data obtained from such ISOS tests could still vary a lot in shape and behavior, depending on the device structure and the applied materials. Therefore, two parameters were suggested for the definition of the lifetime: T 80 , the time when the sample degrades to 80% of its initial value E 0 , and T S80 , the time when the sample degrades to 80% from the performance value E S at a random T S point chosen by the experimenter (normally used to describe the more stabilized second phase of ageing). [18] Since however the random choice of T S value may introduce some incomparability among different laboratories, as a complementary to ISOS guidelines a new method for calculating lifetime was suggested in a study published in 2015. [19] It was proposed that T 80 is calculated as the 80% of the maximum reached performance, while T S is chosen such that the energy produced in the window between T S and T S80 is the maximal within the lifetime of the sample. An additional condition for reliable choice of T S80 is that the efficiency at T S should not be lower than the 50% of Accurate determination of the lifetime of novel hybrid and organic solar cells is often rather challenging due to the very dynamic behavior of such cells over time and ageing curves with shapes of varying nature. Therefore, in order to accurately and reproducibly determine the lifetime of photovoltaic devices with such a behavior, a novel elaboration algorithm is...

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Section: Introductionmentioning

confidence: 99%