We developed an optical model for simulation and optimization of luminescent down-shifting (LDS) layers for photovoltaics. These layers consist of micron-sized phosphor particles embedded in a polymer binder. The model is based on ray tracing and employs an effective approach to scattering and photoluminescence modelling. Experimental verification of the model shows that the model accurately takes all the structural parameters and material properties of the LDS layers into account, including the layer thickness, phosphor particle volume concentration, and phosphor particle size distribution. Finally, using the verified model, complete organic solar cells on glass substrate covered with the LDS layers are simulated. Simulations reveal that an optimized LDS layer can result in more than 6% larger short-circuit current of the solar cell.

Download full-text PDF

Source
http://dx.doi.org/10.1364/OE.23.00A882DOI Listing

Publication Analysis

Top Keywords

lds layers
12
optical model
8
model simulation
8
simulation optimization
8
optimization luminescent
8
luminescent down-shifting
8
phosphor particles
8
phosphor particle
8
layers
5
model
5

Similar Publications

Solar energy sources have garnered significant attention as a renewable energy option. Despite this, the practical power conversion efficiency (PCE) of widely used silicon-based solar cells remains low due to inefficient light utilization. In this study, carbon dots (APCDs) were prepared a hydrothermal method using ammonium polyphosphate and -phenylenediamine, then incorporated into a silicone-acrylic emulsion (CAS) to create a luminescent down-shifting (LDS) layer for solar cells.

View Article and Find Full Text PDF

The intricate morphology, physicochemical properties, and interacting proteins of lipid droplets (LDs) are associated with cell metabolism and related diseases. To uncover these layers of information, a solvatochromic and photosensitized LDs-targeted probe based on the furan-based D-D-π-A scaffold is developed to offer the following integrated functions. First, the turn-on fluorescence of the probe upon selectively binding to LDs allows for direct visualization of their location and morphology.

View Article and Find Full Text PDF

Developing durably active catalysts to tackle harsh voltage polarization and seawater corrosion is pivotal for efficient solar-to-hydrogen (STH) conversion, yet remains a challenge. We report a durably active catalyst of NiCr-layered double hydroxide (RuNiCr-LDH) with highly exposed Ni-O-Ru units, in which low-loading Ru (0.32 wt %) is locked precisely at defect lattice site (Ru) by Ni and Cr.

View Article and Find Full Text PDF

Background: Lipid droplets (LDs) are organelles consisting of a central core of neutral lipids covered by a single layer of phospholipids and are found in most eukaryotic cells. Accumulating evidence suggests that LDs not only store neutral lipids but also coordinate with other organelles for lipid metabolism within cells.

Methods: This review focuses on the synthesis of LDs during follicular development and highlights the factors involved in the regulation of LD biogenesis within the ovary.

View Article and Find Full Text PDF

Fully Non-Fused Ring Electron Acceptors Enable Effective Additive-Free Organic Solar Cells with Enhanced Exciton Diffusion Length.

Small

December 2024

Beijing Key Laboratory for Optical Materials and Photonic Devices, Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China.

Low-cost photovoltaic materials and additive-free, non-halogenated solvent processing of photoactive layers are crucial for the large-scale commercial application of organic solar cells (OSCs). However, high-efficiency OSCs that possess all these advantages remain scarce due to the lack of insight into the structure-property relationship. In this work, three fully non-fused ring electron acceptors (NFREAs), DTB21, DTB22, and DTB23, are reported by utilizing a simplified 1,4-di(thiophen-2-yl)benzene (DTB) core with varied alkoxy chain lengths on the thiophene bridge.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!