PEROVSKITE SOLAR CELL EFFICIENCY STUDY WITH SIMULATION USING IONMONGER

Perovskite-based solar cells (PSCs) are receiving a lot of attention because of their significant developments. Perovskite material has low exciton binding energy, high optical absorption coefficient, high electron mobility, and very good photovoltaic performance. However, perovskite material has...

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Main Author: Muhammad Lazuardi, Adnan
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/71883
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:71883
spelling id-itb.:718832023-02-27T15:00:04ZPEROVSKITE SOLAR CELL EFFICIENCY STUDY WITH SIMULATION USING IONMONGER Muhammad Lazuardi, Adnan Indonesia Final Project drift-diffusion model, ion migration, perovskite, trap states. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/71883 Perovskite-based solar cells (PSCs) are receiving a lot of attention because of their significant developments. Perovskite material has low exciton binding energy, high optical absorption coefficient, high electron mobility, and very good photovoltaic performance. However, perovskite material has a soft lattice structure that makes it easy to form defects and allows ions to quickly move through these defects. The physical processes that occur in perovskite solar cells such as ion migration and recombination have been found to be related to perovskite solar cell (PSC) efficiency. In this study, the effect of recombination due to the presence of the interfacial trap state and the emergence of hysteresis due to ion migration on the efficiency of perovskite solar cells (PSC) will be studied. The charge carrier transport process in perovskite solar cell (PSC) devices has been modelled in the drift-diffusion model. IonMonger, a computational program based on the finite element method, is used to solve the drift-diffusion model. The solution of the model produces the J-V curve, electric potential curve, electron distribution, and anion vacancy density distribution. Parameters of perovskite solar cell (PSC) devices such as perovskite layer thickness, recombination rate, amount of doping in the transport layer, ion diffusion coefficient, and ion vacancy density were varied to study how ion migration and recombination can affect cell efficiency. The simulation results show that recombination due to the existence of the interfacial trap state affects the decrease in Jsc and Voc and the number of interfacial trap states in the ETL interface has a more dominant effect than the trap state in the HTL interface. In addition, the simulations show that the formation of band-bending causes the hysteresis at the interface to be affected by the accumulation of anion vacancies at the interface. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Perovskite-based solar cells (PSCs) are receiving a lot of attention because of their significant developments. Perovskite material has low exciton binding energy, high optical absorption coefficient, high electron mobility, and very good photovoltaic performance. However, perovskite material has a soft lattice structure that makes it easy to form defects and allows ions to quickly move through these defects. The physical processes that occur in perovskite solar cells such as ion migration and recombination have been found to be related to perovskite solar cell (PSC) efficiency. In this study, the effect of recombination due to the presence of the interfacial trap state and the emergence of hysteresis due to ion migration on the efficiency of perovskite solar cells (PSC) will be studied. The charge carrier transport process in perovskite solar cell (PSC) devices has been modelled in the drift-diffusion model. IonMonger, a computational program based on the finite element method, is used to solve the drift-diffusion model. The solution of the model produces the J-V curve, electric potential curve, electron distribution, and anion vacancy density distribution. Parameters of perovskite solar cell (PSC) devices such as perovskite layer thickness, recombination rate, amount of doping in the transport layer, ion diffusion coefficient, and ion vacancy density were varied to study how ion migration and recombination can affect cell efficiency. The simulation results show that recombination due to the existence of the interfacial trap state affects the decrease in Jsc and Voc and the number of interfacial trap states in the ETL interface has a more dominant effect than the trap state in the HTL interface. In addition, the simulations show that the formation of band-bending causes the hysteresis at the interface to be affected by the accumulation of anion vacancies at the interface.
format Final Project
author Muhammad Lazuardi, Adnan
spellingShingle Muhammad Lazuardi, Adnan
PEROVSKITE SOLAR CELL EFFICIENCY STUDY WITH SIMULATION USING IONMONGER
author_facet Muhammad Lazuardi, Adnan
author_sort Muhammad Lazuardi, Adnan
title PEROVSKITE SOLAR CELL EFFICIENCY STUDY WITH SIMULATION USING IONMONGER
title_short PEROVSKITE SOLAR CELL EFFICIENCY STUDY WITH SIMULATION USING IONMONGER
title_full PEROVSKITE SOLAR CELL EFFICIENCY STUDY WITH SIMULATION USING IONMONGER
title_fullStr PEROVSKITE SOLAR CELL EFFICIENCY STUDY WITH SIMULATION USING IONMONGER
title_full_unstemmed PEROVSKITE SOLAR CELL EFFICIENCY STUDY WITH SIMULATION USING IONMONGER
title_sort perovskite solar cell efficiency study with simulation using ionmonger
url https://digilib.itb.ac.id/gdl/view/71883
_version_ 1822992314431176704