Optical-Electrical-Thermal Optimization of Plasmon-enhanced Perovskite Solar Cells
The metal nanoparticles associated with the local surface plasmon resonance (LSP), i.e. highly confined electric field and large scattering cross-sections(σ), have been widely used to enhance the light-harvesting of solar cells toward high optoelectronic performance. However, the embedded metal nanoparticles into the solar cells will suffer from parasitic ohmic loss that subsequently will cause local temperature rise, which will reduce the photoelectric conversion efficiency and stability of solar cells. Previous studies on plasmon-enhanced solar cells have rarely considered the negative side of metal nanoparticles' ohmic losses and temperature rise on solar cell performance optimization. Therefore, it is of great interest to alleviate the ohmic loss and temperature rise that is critical for high-performance solar cells. Here, we propose to comprehensively study and optimize the performance of plasmon-enhanced perovskite solar cells (PSC) from the simultaneously optical-electrical-thermal aspects. First, the optical simulation results show that the geometric tuning of metal nanoparticles can make full use of the plasmonic effect and significantly improve the PSCs' light absorption. The analysis shows that the embedded nanoparticles with the optimal geometry in PSC devices can significantly increase optical absorption by 17% (41%) compared to the non-optimal nanostructure (device without nanoparticles). Next, we explore the influence of the temperature-dependent carrier mobility on PSC performance from the coupled electrical and thermal studies. Our results indicate the optimization of the geometrical parameters of metal nanoparticle can minimize the energy dissipation thereby the heat loss and then lower local cell temperature. Interestingly, the PSCs' electrical properties such as carrier transportation have been significantly improved. Consequently, the PSC performance has been improved with the increment of short-circuit current by 23% and power conversion efficiency by 38%.