Lee, Jin Yao (2025) Estimation of Perovskite Solar Cell performance based on OghmaNano and COMSOL multiphysics modelling simulation. Masters thesis, Universiti Teknikal Malaysia Melaka.
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Abstract
Perovskite Solar Cell (PSC) is one of the third-generation solar cells with advanced materials, intelligent properties, and high potential performance. The PSC is made up of 5 layers, the active layers consist of an absorber layer (AL) sandwiched between a hole transport layer (HTL) and an electron transport layer (ETL), these active layers are sandwiched between transparent conductive oxide (TCO) as cathode and conductive metal as anode. Due to the multiple layers involved in the operation mechanism of PSC, the performance of PSC becomes unpredictable especially when the material is altered in the PSC's layers. Therefore, to prevent the wastage of precious rare materials and time of manufacture, design and modelling the PSC in a simulation is important to predict the performance of PSC. The PSC's AL contains lead which is harmful to the environment and a serious health hazard. However, the PSC with the lead-free perovskite layer has lower stability in terms of its performance. Therefore, the lead-free PSC cell performance is evaluated in this research for the potential to replace the lead PSC and the optimization for the performances of lead-free PSC is conducted. This research uses electrochemical modelling by drift-diffusion equations to model the dynamic operations in PSC in OghmaNano and COMSOL Multiphysics semiconductor modelling simulation software. The properties of each layer in PSC are extracted from the drift-diffusion equations which are defined in the semiconductor modelling simulation software before computation. The complex drift-diffusion equations are solved in semiconductor modelling simulation software with the finite element method (FEM) numerical scheme to generate the JV curve as its output. The defined problems are discretized into the various elements with the mesh number that is set and solved by using a multiple defined equations. The output JV curves generated from semiconductor modelling simulation software are dependent on the layer properties of the PSC. These properties include the layer's thickness, electron affinity, energy bandgap, relative permittivity, conduction band density, valence band density, doping density, mobility of electrons, and mobility of holes. The performance of PSC can be abstracted and calculated from the resulting JV curves. These PSC's performance includes short circuit current (JSC), open circuit voltage (VOC), fill factor (FF), and power conversion efficiency (PCE). For validation purposes, the PSC performance obtained from the simulation with the same PSC properties used in the work is validated against the results from SCAPS. The PSC's PCE showed a good agreement with the results from SCAPS, the other PSC performance's value (JSC, VOC, and FF) difference is only less than 6% under the same comparison. In the subsequent works, the results of PSC's PCE with the different cell layer properties variations are discussed in this research. A set of PSC layers properties' optimum values have been determined from the analysis. The PSC performance is computed with the optimum value of cell layer properties showing that the PSC's PCE increased by 16.14% and 9.05% in OghmaNano and COMSOL Multiphysics respectively. However, in the evaluation of the performance between lead and lead-free PSC, the simulation results show that the PSC's PCE decreased by 18.33% and 18.67% in OghmaNano and COMSOL Multiphysics respectively after replacing the lead AL of PSC with lead-free AL. The lead-free PSC's PCE also increased by 1.52% after optimizing its AL properties value.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Perovskite Solar Cells, Electrochemical modelling, Numerical simulation, OghmaNano, COMSOL Multiphysics |
| Subjects: | T Technology T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty Of Electrical Technology And Engineering |
| Depositing User: | Norhairol Khalid |
| Date Deposited: | 21 Jan 2026 07:42 |
| Last Modified: | 21 Jan 2026 07:42 |
| URI: | http://eprints.utem.edu.my/id/eprint/29314 |
| Statistic Details: | View Download Statistic |
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