Optimization of nanoantenna for solar energy harvesting based on particle swarm technique

This paper presents a new trend in the design of nanoantenna for solar energy harvesting. By creating a link between a particle swarm optimization (PSO) algorithm and an external finite element frequency domain (FEFD) solver, the algorithm refines all the design metrics to optimize harvesting efficiency. Simulation results show the effectiveness of applying PSO to nanoantenna design which offers a total solar energy harvesting efficiency of 98.7%. This is significantly higher than up to date solar cells.