Perovskite Indoor Light Harvesters: from Atomistic DFT to Optoelectronic Device Modeling

Document Type

Article

Publication Date

2023

Abstract

Due to the continuous growth in the low power IoT/IoT\({}^{2}\) applications, the need for sustainable energy sources glows up as a must. Indoor lighting is a potential sustainable energy source capable of being utilized in a wide range of indoor low power applications, especially those related to smart buildings and wireless sensor networks. The current study introduces a novel BaTiO\({}_{3}\)-dye-TiO\({}_{2}\) based light harvester simulated under low light intensity (0.2 Sun) LED source. Multiscale modelling approach is presented, starting from an atomistic modelling using density function theory (DFT), up to a complete optoelectronic device model. Energy band diagram, density of states and dielectric permittivity are extracted from the DFT model, to be fed in the optoelectronic device model. The \(I\)–\(V\) characteristics for the complete device are simulated under the AM1.5G, as well as low light (0.2 Sun) intensity. For the sake of comparison, Si as well as GaAs-based solar cells are also simulated, showing a boosted performance for the perovskite cell up to 50\(\%\) higher than the Si and 35\(\%\) than GaAs cells, for indoor harvesting. The proposed BaTiO\({}_{3}\) recorded an overall extracted power density up to 2.72 mW/cm\({}^{2}\), making it appropriate for various low power millimeter scale applications.

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