High transparency of perovskite solar cells (PSCs) to infrared light has resulted inlower efciency when compared to other technologies such as crystalline silicon. In recent years, the application of nanoparticles (NPs) to induce surface plasmonresonance has emerged as a promising strategy to enhance the incident light harvesting in solar cells, resulting in improved performance and absorption efciency. However, the efcacy of this method is greatly influenced by the geometry of theplasmonic nanoparticle, and a considerable gap exists in the literature regardingthe optimization of this geometry and the coupled optical and electrical analysis ofthe perovskite solar cell embedded with such nanoparticles. Here, we compare theperformance of plasmonic nanoparticles of different geometrical shapes implantedwithin PSCs, including cones, inverted cones, cylinders, and pyramids of plasmonic nanostructures arranged in an array. We examine the enhancement of theabsorption spectrum in PSCs using fnite element method (FEM) simulationsand found that the cylinder nanostructure has a maximum average absorptionof 52%, while the planar structure has only 27%. We perform numerical analysisusing the SCAPS-1D simulator to determine the efciency of proposed PSCs. Our simulations indicated that an optimum device with embedded cylinder nanostructures could achieve an unprecedented 37% efciency. Finally, we investigatethe impact of non-radiative heat and temperature due to metal nanoparticles inplasmon-enhanced solar cells. Our fndings indicate that the introduction of cylindrical plasmonic nanoparticles does not signifcantly increase non-radiative heatand temperature. Our fndings pave the way for a novel approach to designing perovskite cells that may outperform typical silicon cells currently used.