Organic and Perovskite Photovoltaics: Characterization and Optimization for Indoor Applications
Gregory Burwell a, Stefan Zeiske a, Austin Kay a, Oskar Sandberg a, Zaid Haymoor b, Kris Seunarine b, Matt Carnie b, Paul Meredith a, Ardalan Armin a
a Sustainable Advanced Materials, Department of Physics, Swansea University
b College of Engineering, Swansea University, UK, Bay Campus, Swansea SA1 8EN, United Kingdom
Materials for Sustainable Development Conference (MATSUS)
Proceedings of MATSUS Fall 2023 Conference (MATSUSFall23)
#AppPV - Application Targets for Next Generation Photovoltaics
Torremolinos, Spain, 2023 October 16th - 20th
Organizers: Ardalan Armin and Marina Freitag
Invited Speaker, Gregory Burwell, presentation 056
DOI: https://doi.org/10.29363/nanoge.matsus.2023.056
Publication date: 18th July 2023

Indoor photovoltaics (IPV) offer a range of potential applications, from powering the Internet-of-Things to providing clean, renewable energy for residential and commercial settings. These devices can be realized through a variety of materials such as organics and perovskites, both of which demonstrate impressive power conversion efficiencies, due in part to their spectral tunability. The theoretical thermodynamic power conversion efficiency limit for single-junction PV devices under typical indoor spectra is over 50%, significantly higher than the detailed balance limit of 33.7% under 1 Sun, and the optimal bandgap shifts to ∼1.8 eV. However, accurate characterization of IPV devices is essential for enabling device optimization and thus unlocking their full potential. The IPV performance is measured using a bespoke spectrophotometrically calibrated test setup to simulate realistic indoor lighting conditions. In this work, we explore parameters for improving the performance of large-area IPV devices, focusing on organic and perovskite-based devices. We experimentally and theoretically probe and demonstrate the performance of organic and perovskite IPV devices at low light intensities, which are verified by their implementation in IPV-powered wireless sensor nodes (WSNs).

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