scholarly journals Reporting Device Performance of Emerging Photovoltaic Materials (Version 1)

2021 ◽  
Author(s):  
Osbel Almora ◽  
Derya Baran ◽  
Guillermo C Bazan ◽  
Carlos I Cabrera ◽  
Kylie R Catchpole ◽  
...  
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
Perovskite Solar Cells ◽  
Bandgap Energy ◽  
Energy Yield ◽  
Research Subjects ◽  
Dye Sensitized ◽  
Alternative Approach ◽  
The Stability ◽  
Reported Data

Emerging photovoltaics (PVs), focuses on a variety of applications complementing large scale electricity generation. For instance, organic, dye-sensitized and some perovskite solar cells are considered in building integration, greenhouses, wearable and indoors, thereby motivating research on flexible, transparent, semitransparent, and multi-junction PVs. Nevertheless, it can be very time consuming to find or develop an up-to-date overview over the state-of-the-art performance for these systems and applications. Two important resources for record research cells efficiencies are the National Renewable Energy Laboratory chart and the efficiency tables compiled biannually by Martin Green and colleagues. Both publications provide an effective coverage over the established technologies, bridging research and industry. An alternative approach is proposed here summarizing the best reports in the diverse research subjects for emerging PVs. Best performance parameters are provided as a function of the photovoltaic bandgap energy for each technology and application, and are put into perspective using, e.g., the Shockley-Queisser limit. In all cases, the reported data correspond to published and/or properly described certified results, with enough details provided for prospective data reproduction. Additionally, the stability test energy yield (STEY) is included as an analysis parameter among state-of-the-art emerging PVs.

scholarly journals Reporting Device Performance of Emerging Photovoltaic Materials (Version 1)

2021 ◽  
Author(s):  
Osbel Almora ◽  
Derya Baran ◽  
Guillermo C Bazan ◽  
Carlos I Cabrera ◽  
Kylie R Catchpole ◽  
...  
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
Perovskite Solar Cells ◽  
Bandgap Energy ◽  
Energy Yield ◽  
Research Subjects ◽  
Dye Sensitized ◽  
Alternative Approach ◽  
The Stability ◽  
Reported Data

Emerging photovoltaics (PVs), focuses on a variety of applications complementing large scale electricity generation. For instance, organic, dye-sensitized and some perovskite solar cells are considered in building integration, greenhouses, wearable and indoors, thereby motivating research on flexible, transparent, semitransparent, and multi-junction PVs. Nevertheless, it can be very time consuming to find or develop an up-to-date overview over the state-of-the-art performance for these systems and applications. Two important resources for record research cells efficiencies are the National Renewable Energy Laboratory chart and the efficiency tables compiled biannually by Martin Green and colleagues. Both publications provide an effective coverage over the established technologies, bridging research and industry. An alternative approach is proposed here summarizing the best reports in the diverse research subjects for emerging PVs. Best performance parameters are provided as a function of the photovoltaic bandgap energy for each technology and application, and are put into perspective using, e.g., the Shockley-Queisser limit. In all cases, the reported data correspond to published and/or properly described certified results, with enough details provided for prospective data reproduction. Additionally, the stability test energy yield (STEY) is included as an analysis parameter among state-of-the-art emerging PVs.

Dynamic temperature effects in perovskite solar cells and energy yield

2021 ◽  
Author(s):  
Pilar Lopez-Varo ◽  
Mohamed Amara ◽  
Stefania Cacovich ◽  
Arthur Julien ◽  
Armelle Yaïche ◽  
...  
Keyword(s):  
Solar Cells ◽  
Temperature Effects ◽  
Perovskite Solar Cells ◽  
Energy Yield ◽  
Dynamic Temperature ◽  
Device Optimization ◽  
The Stability

Understanding the influence of the temperature on the performance of perovskite solar cells (PSCs) is essential for device optimization and for improving the stability of devices in outdoor conditions.

scholarly journals Call for papers on special issue “Perovskite photovoltaics and optoelectronic devices”

2020 ◽  
Vol 2 (1) ◽  
pp. 049-049
Keyword(s):  
Solar Cells ◽  
Large Scale ◽  
Perovskite Solar Cells ◽  
Optoelectronic Devices ◽  
Scale Production ◽  
Special Issue ◽  
Device Structure ◽  
Stability Performance ◽  
Large Scale Production ◽  
The Stability

Aim & Scope: Metal halide perovskitehave been regarded as promising classes of materials for photovoltaics and optoelectronic devices, owing to the unique characteristics, such as long charge carrier diffusion lengths, precise tunable bandgaps, high light absorption coefficients, and high defect tolerance. Research on perovskite in the fields including photovoltaics, light-emitting diodes, lasers, X-ray imaging, and photodetectors has been gaining increasingly interest over the past years. Up to now, the efficiency of perovskite solar cells has grown from 3.8% in single-junction solar cells in 2009 to more than 25%, catching up the efficiency level of commercial silicon cells. Up to now, the key issues of perovskite photovoltaics and optoelectronic devices have become the stability, performance and large-scale production. This requires optimization of the film morphology, interface, device structure and the fabrication process. A lot work has been done on this issue and has made remarkable progress. We kindly invite you to submit a manuscript(s) for this Special Issue. Full papers, communications, and reviews are all welcome.

scholarly journals Device Performance of Emerging Photovoltaic Materials (Version 2)    

2021 ◽  
Author(s):  
Osbel Almora ◽  
Derya Baran ◽  
Guillermo C. Bazan ◽  
Christian Berger ◽  
Carlos I. Cabrera ◽  
...  
Keyword(s):  
Short Circuit ◽  
Detailed Balance ◽  
Short Circuit Current ◽  
Short Circuit Current Density ◽  
Open Circuit ◽  
Utilization Efficiency ◽  
Bandgap Energy ◽  
Energy Yield ◽  
Research Subjects ◽  
Solar Cell Performance

Following the 1 release of the “Emerging PV reports” , the best achievements in the performance of emerging photovoltaic devices in diverse emerging photovoltaic research subjects are summarized, as reported in peer-reviewed articles in academic journals since August 2020. Updated graphs, tables and analyses are provided with several performance parameters, e.g. power conversion efficiency, open-circuit voltage, short-circuit current density, fill factor, light utilization efficiency, and stability test energy yield. These parameters are presented as a function of the photovoltaic bandgap energy and the average visible transmittance for each technology and application, and are put into perspective using, e.g., the detailed balance efficiency limit. The 2 instalment of the“Emerging PV reports” extends the scope towards tandem solar cells and presents the current state of the art in tandem solar cell performance for various material combinations.

scholarly journals Progress in perovskite based solar cells: scientific and engineering state of the art

2020 ◽  
Vol 59 (1) ◽  
pp. 10-25
Author(s):  
Saida Laalioui ◽  
Kawtar Belrhiti Alaoui ◽  
Houda Ait Dads ◽  
Kassem El Assali ◽  
Badr Ikken ◽  
...  
Keyword(s):  
Solar Cells ◽  
Conversion Efficiency ◽  
State Of The Art ◽  
Perovskite Solar Cells ◽  
Present Review ◽  
Silicon Solar Cells ◽  
Tandem Solar Cells ◽  
Engineering State ◽  
The Stability ◽  
Photovoltaic Technologies

AbstractPerovskite solar cells (PSCs) are one of the most promising photovoltaic technologies undergoing rapid developments. PSC efficiency has reached 25.2% in only seven years, which is close to the record efficiency of silicon solar cells. In addition, the use of PSCs in tandem solar cells either in the 4-terminal or monolithic configuration, can lead to a significant increase conversion efficiency. However, the stability and the scalability are the main issues that still hinder the commercialization of the perovskite technology.The present review focusses on the recent development in perovskite solar cells materials, cell architectures and fabrication methods and their effect on the conversion efficiency and stability of the devices. In addition, solutions proposed to overcome the main challenges and to make tandem solar cells are discussed.

scholarly journals Solving Analogies on Words based on Minimal Complexity Transformation

2020 ◽  
Author(s):  
Pierre-Alexandre Murena ◽  
Marie Al-Ghossein ◽  
Jean-Louis Dessalles ◽  
Antoine Cornuéjols
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Large Scale ◽  
State Of The Art ◽  
Benchmark Dataset ◽  
Alternative Approach

Analogies are 4-ary relations of the form "A is to B as C is to D". When A, B and C are fixed, we call analogical equation the problem of finding the correct D. A direct applicative domain is Natural Language Processing, in which it has been shown successful on word inflections, such as conjugation or declension. If most approaches rely on the axioms of proportional analogy to solve these equations, these axioms are known to have limitations, in particular in the nature of the considered flections. In this paper, we propose an alternative approach, based on the assumption that optimal word inflections are transformations of minimal complexity. We propose a rough estimation of complexity for word analogies and an algorithm to find the optimal transformations. We illustrate our method on a large-scale benchmark dataset and compare with state-of-the-art approaches to demonstrate the interest of using complexity to solve analogies on words.

scholarly journals A universal co-solvent dilution strategy enables facile and cost-effective fabrication of perovskite photovoltaics

2022 ◽  
Vol 13 (1) ◽  
Author(s):  
Hong Zhang ◽  
Kasra Darabi ◽  
Narges Yaghoobi Nia ◽  
Anurag Krishna ◽  
Paramvir Ahlawat ◽  
...  
Keyword(s):  
Large Scale ◽  
Perovskite Solar Cells ◽  
Precursor Solution ◽  
Cost Effective ◽  
Toxic Waste ◽  
High Concentration ◽  
Colloidal Chemistry ◽  
High Volatility ◽  
Key Issues ◽  
The Stability

AbstractCost management and toxic waste generation are two key issues that must be addressed before the commercialization of perovskite optoelectronic devices. We report a groundbreaking strategy for eco-friendly and cost-effective fabrication of highly efficient perovskite solar cells. This strategy involves the usage of a high volatility co-solvent, which dilutes perovskite precursors to a lower concentration (<0.5 M) while retaining similar film quality and device performance as a high concentration (>1.4 M) solution. More than 70% of toxic waste and material cost can be reduced. Mechanistic insights reveal ultra-rapid evaporation of the co-solvent together with beneficial alteration of the precursor colloidal chemistry upon dilution with co-solvent, which in-situ studies and theoretical simulations confirm. The co-solvent tuned precursor colloidal properties also contribute to the enhancement of the stability of precursor solution, which extends its processing window thus minimizing the waste. This strategy is universally successful across different perovskite compositions, and scales from small devices to large-scale modules using industrial spin-coating, potentially easing the lab-to-fab translation of perovskite technologies.

scholarly journals Semi-automatic spray pyrolysis deposition of thin, transparent, titania films as blocking layers for dye-sensitized and perovskite solar cells

2018 ◽  
Vol 9 ◽  
pp. 1135-1145 ◽  
Author(s):  
Hana Krýsová ◽  
Josef Krýsa ◽  
Ladislav Kavan
Keyword(s):  
Solar Cells ◽  
Spray Pyrolysis ◽  
Deposition Temperature ◽  
Large Scale ◽  
Perovskite Solar Cells ◽  
Negative Electrode ◽  
Electron Transfer Reaction ◽  
Proper Function ◽  
Back Reaction ◽  
Dye Sensitized

For proper function of the negative electrode of dye-sensitized and perovskite solar cells, the deposition of a nonporous blocking film is required on the surface of F-doped SnO2 (FTO) glass substrates. Such a blocking film can minimise undesirable parasitic processes, for example, the back reaction of photoinjected electrons with the oxidized form of the redox mediator or with the hole-transporting medium can be avoided. In the present work, thin, transparent, blocking TiO2 films are prepared by semi-automatic spray pyrolysis of precursors consisting of titanium diisopropoxide bis(acetylacetonate) as the main component. The variation in the layer thickness of the sprayed films is achieved by varying the number of spray cycles. The parameters investigated in this work were deposition temperature (150, 300 and 450 °C), number of spray cycles (20–200), precursor composition (with/without deliberately added acetylacetone), concentration (0.05 and 0.2 M) and subsequent post-calcination at 500 °C. The photo-electrochemical properties were evaluated in aqueous electrolyte solution under UV irradiation. The blocking properties were tested by cyclic voltammetry with a model redox probe with a simple one-electron-transfer reaction. Semi-automatic spraying resulted in the formation of transparent, homogeneous, TiO2 films, and the technique allows for easy upscaling to large electrode areas. The deposition temperature of 450 °C was necessary for the fabrication of highly photoactive TiO2 films. The blocking properties of the as-deposited TiO2 films (at 450 °C) were impaired by post-calcination at 500 °C, but this problem could be addressed by increasing the number of spray cycles. The modification of the precursor by adding acetylacetone resulted in the fabrication of TiO2 films exhibiting perfect blocking properties that were not influenced by post-calcination. These results will surely find use in the fabrication of large-scale dye-sensitized and perovskite solar cells.

scholarly journals Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity

2020 ◽  
Vol 32 (2) ◽  
pp. 424-446
Author(s):  
Jure Demšar ◽  
Rob Forsyth
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
Brain Plasticity ◽  
Original Model ◽  
Neural Mass Model ◽  
Synaptic Scaling ◽  
Mass Model ◽  
Neural Mass ◽  
The Stability ◽  
And Behavior

Neural mass models offer a way of studying the development and behavior of large-scale brain networks through computer simulations. Such simulations are currently mainly research tools, but as they improve, they could soon play a role in understanding, predicting, and optimizing patient treatments, particularly in relation to effects and outcomes of brain injury. To bring us closer to this goal, we took an existing state-of-the-art neural mass model capable of simulating connection growth through simulated plasticity processes. We identified and addressed some of the model's limitations by implementing biologically plausible mechanisms. The main limitation of the original model was its instability, which we addressed by incorporating a representation of the mechanism of synaptic scaling and examining the effects of optimizing parameters in the model. We show that the updated model retains all the merits of the original model, while being more stable and capable of generating networks that are in several aspects similar to those found in real brains.

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