Electric power from shadows and indoors: solar cells under diffuse light conditions

Sim, Yeon Hyang; Yun, Min Ju; Fauzan, Luthfan; Choi, Hyekyoung; Lee, Dong Yoon; Cha, Seung I.

doi:10.1039/d3se00836c

Cited by 3 publications

(1 citation statement)

References 71 publications

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“…Although still lower in efficiency, OPV cells have considerable advantages such as lower cost, lightweight, biodegradable, customizable, and adaptable to consumer needs [4], which expected to drive the market growth each of the coming years [5]. Recently, for instance, growth in OPV is driven by the increasing demand for building-integrated photovoltaics (BIPV) [6], urban lighting solutions [7], and defense equipment [8].…”

Section: Introductionmentioning

confidence: 99%

Active learning concept for materials process optimization of non-fullerene organic photovoltaic using small datasets

Almalki,

Chapuis,

Lachiche

2024

Data Science for Photonics and Biophotonics

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The rise of materials informatics and artificial intelligence (AI)-based computational discovery of materials provides new sources of research directions for materials science. New research demonstrates the enormous potential for experimentalists in photonics for photovoltaic materials to increase the rate of screening and optimization of materials properties and related devices. AI for materials is not only interested in the accuracy of predictive models but also in the effect of data size. Recent investigations have shown significant progress in AI for small data by combining a design of experiments (DoE) approach with machine learning (ML) analysis, which enables experimentalists to use scarce resources more effectively for materials optimization with a higher probability of arriving at a true optimum. In this work, we propose an alternative approach to DoE associated with ML by using the concept of active learning (AL). AL is well appropriate in industry and physical sciences, where there is a strong need to minimize the number of costly experiments necessary to train predictive models. We focus on optimizing processes of organic photovoltaic (OPV) cells. The manufacturing of OPV devices requires on the case of having a very small labeling budget, about a few dozen data points, and developing a simple and fast method for practical AL with a model selection. Then, we discusse the challenges in anticipating the data-driven process design, such as the complexity of the experimental approach of OPV cells, the diversity of experiment parameters, and the necessary programming ability.

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Section: Introductionmentioning

confidence: 99%

Active learning concept for materials process optimization of non-fullerene organic photovoltaic using small datasets

Almalki,

Chapuis,

Lachiche

2024

Data Science for Photonics and Biophotonics

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Halogenation Strategy: Simple Wide Band Gap Nonfullerene Acceptors with the BODIPY-Thiophene-Backboned Polymer Donor for Enhanced Outdoor and Indoor Photovoltaics

Rajagopalan,

Shankar S.,

Balasubramaniyan

et al. 2024

ACS Appl. Mater. Interfaces

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Researchers have been motivated to develop photovoltaic systems that can efficiently convert artificial light into power with the growing use of indoor electrical devices for the Internet of Things. Understanding the impact of molecular design strategies involving morphological optimization through the terminal group of the non-fullerene acceptors (NFAs) is crucial. This is critically important to enhancing the photovoltaic efficiency of organic photovoltaic devices under diverse irradiation conditions. Halogenation of terminal groups proves to be a standout approach for adjusting energy levels, refining light-harvesting capabilities, crystallinity, and bolstering the intermolecular stacking in NFAs. Herein, we have designed two simple NFAs, DICTF-4F and DICTF-4Cl, to explore the dihalogenation (F and Cl) effect on the terminal group on the optical and electrochemical properties. After combining with the BODIPY-thiophene-backboned donor polymer P(BdP-HT), the organic solar cells (OSCs) using an optimized active layer with P(BdP-HT):DICTF-4F and P(BdP-HT):DICTF-4Cl attained a power conversion efficiency (PCE) of about 8.03 and 14.16%, respectively, under 1 sun illumination. Moreover, the OSC-based P(BdP-HT):DICTF-4Cl active layer showed a PCE approaching 24% under 1000 lx indoor conditions.

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Efficient and Stable Z907-Based Dye-Sensitized Solar Cells Enabled by Suppressed Charge Recombination and Photocatalytic Activity

Huang,

Gao,

et al. 2024

ACS Sustainable Chem. Eng.

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Dye-sensitized solar cells (DSSCs) based on the TiO2 photoanode are promising contenders for photovoltaic technology. However, the TiO2 photoanode shows severe charge recombination and leads to rapid photodegradation of absorbed dyes due to its photocatalytic activity. Herein, we developed a hybrid photoanode by embedding a multifunctional fulleropyrrolidine (PCBO-3) into a TiO2 film. The hybrid film presents higher electron mobility, aligned energy level with dyes, and reduced oxygen vacancy defects, synergistically contributing to suppressed charge recombination and photocatalytic activity. Moreover, the dye molecules can form hydrogen bonds with PCBO-3 molecules, thus enhancing dye loading and photon harvesting. The resulting DSSCs based on hybrid photoanode yield efficiencies of 11.6% under standard one sun illumination and 32.8% under 1500 lx dim light, representing the highest values for Z907-based DSSCs. The encapsulated devices show enhanced long-term operational stability, retaining 76.8% and 89.3% of the initial PCE under standard one sun and dim light for 500 h, respectively. In contrast, only 48.9% and 69.5% of their original efficiency could be maintained for control devices. Our results suggest that hybrid anode is a facile approach to revitalizing DSSCs.

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Electric power from shadows and indoors: solar cells under diffuse light conditions

Abstract: There is diffuse light in urban areas, so we need to utilize the angle of incident light for urban solar cells. In this paper, we propose a model to deal with complex diffuse light and predict the performance of solar cells in urban environments.

Cited by 3 publications

References 71 publications

Active learning concept for materials process optimization of non-fullerene organic photovoltaic using small datasets

Active learning concept for materials process optimization of non-fullerene organic photovoltaic using small datasets

Halogenation Strategy: Simple Wide Band Gap Nonfullerene Acceptors with the BODIPY-Thiophene-Backboned Polymer Donor for Enhanced Outdoor and Indoor Photovoltaics

Efficient and Stable Z907-Based Dye-Sensitized Solar Cells Enabled by Suppressed Charge Recombination and Photocatalytic Activity

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