Proceedings of Materials for Sustainable Development Conference (MAT-SUS) (NFM22)
DOI: https://doi.org/10.29363/nanoge.nfm.2022.045
Publication date: 11th July 2022
Perovskite-based solar cells have shaken the photovoltaic sector achieving more than 25% efficient laboratory-scale solar cells in around 10 years. Now, they are on the way to breaking the 30% efficiency threshold by being coupled with established technologies such as Silicon and CI(G)S forming a multijunction configuration.
As demand for a more sustainable and decentralized electricity system increases, low-cost and lightweight thin-film based multijunction are an ideal match for integrated PV requirements. On the other hand, urban environments increase stress-induced losses due to partial shading and weather alterations on PV strings. Most importantly, both thin-film technologies (CIGS and Perovskite) have shown lower reverse breakdown voltages[1-2], which increases the need for bypass diodes and in some cases reverse bias-induced degradation [3]. It is therefore essential to consider alternative module designs to optimize the desired power outputs and increase the long term reliability of BIPV/VIPV systems.
In this study, we designed an improved SPICE simulation[4] of a PV module to assess the impact of material’s and design’s parameters under partial shadow conditions, with a focus on alternative designs for thin-film based integrated photovoltaics applications. To guarantee safe real life installation and operation, realistic limitations are also taken into consideration as boundary conditions. As a result of our research, we present suitable alternative designs based on different absorber materials, sizes, and interconnection schemes and inclusive of 2 terminal, current matched multijunction CIGS/Perovskite devices. For each configuration, we also report the local impact of shadow-induced thermal losses based on a SPICE equivalent thermal circuit.
This research is developed as part of the PERCISTAND project, as part of the European Union’s Horizon 2020 research and innovation programme, grant agreement No. 850937