Optimization and Investigation of Multi-Stage Thermoelectric Generation Systems with Particle Swarm Optimization (PSO)
H Alemi, Cyrus Aghanajafi, Amir Yousefi Kashi · Electrical and Electronics Engineering An International Journal · 2014
The aim of this research is to investigate the optimization of some properties of thermoelectric systems in generators systems.The procedures used for the optimization of the system are the particle swarm optimization (PSO).First, the maximum efficiency and power production in multi-stage thermoelectric systems, which are connected in both parallel and series, are computed.Then, the performance of these systems is compared with each other.After that the priorities of their usage at their operating temperatures are determined.In this study, despite other studies in which thermoelectric characteristics of materials are calculated at the average temperatures of the system, the characteristic average operating temperatures of each stage is used.The procedure used for optimizing the system is the particle swarm optimization method (PSO) which is a really powerful and fast solution especially in continuous problems.