3-D Modeling of Ultrathin Solar Cells with Nanostructured Dielectric Passivation: Case Study of Chalcogenide Solar Cells
KAUST DepartmentPhysical Science and Engineering (PSE) Division
KAUST Solar Center (KSC)
Material Science and Engineering Program
KAUST Grant NumberOSR-CARF URF/1/3079-33-01
Online Publication Date2021-09-09
Print Publication Date2021-11
Embargo End Date2022-09-09
Permanent link to this recordhttp://hdl.handle.net/10754/671173
MetadataShow full item record
AbstractUltrathin solar cells can be a path forward to low-cost photovoltaics due to their reduced material consumption and shorter required deposition times. With excellent surface passivation, such devices may feature higher open-circuit voltages (VOC). However, their short-circuit current density (JSC) may be reduced due to decreased light absorption. This mandates implementation of efficient light-trapping structures. To design efficient ultrathin solar cells that combine surface-passivation and light-trapping features, accurate 3-D modeling is necessary. To this end, a novel 3-D optoelectrical finite-element model is developed to analyze the performance of ultrathin solar cells. The model is applied to the case of ultrathin (<500 nm) chalcogenide solar cells (copper indium gallium (di) selenide, CIGSe), rear-passivated with nanostructured Al2O3 to circumvent optical and electrical losses. It is found that such a nanopatterned dielectric passivation scheme enhances broadband light-trapping with reduced rear-surface recombination, resulting in an absolute power conversion efficiency enhancement of 3.9%, compared to cells without passivation structure. Overall, the work shows how 3-D finite element modeling can aid in analyzing and developing new optical and electrical solar cell designs for ultrathin solar cells such as those based on chalcogenides and perovskites.
CitationRaja, W., Aydin, E., Allen, T. G., & De Wolf, S. (2021). 3-D Modeling of Ultrathin Solar Cells with Nanostructured Dielectric Passivation: Case Study of Chalcogenide Solar Cells. Advanced Theory and Simulations, 2100191. doi:10.1002/adts.202100191
SponsorsThis work was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under award no. OSR-CARF URF/1/3079-33-01.
JournalAdvanced Theory and Simulations