Thermoelectric Generation System with Maximum Power Point Tracking Algorithm

The present paper aims to convert solar energy by designing and implementing a thermoelectric conversion system with an MPPT fuzzy controller. It was determined that the prototype can generate electric energy based on the input temperature difference. The Maximum power point tracker based on fuzzy logic was employed in the system to calculate the peak power. Fuzzy MPPT provided fast response for the system regardless the variation in the temperature difference. Fuzzy logic controller (FLC) delivers good performance in extracting the maximum power of the TEG's and improve the efficiency of the MPPT. It was found that there is a significant relationship between temperature difference and power output of the TEG's. Based on the result, the state of charge of the generation system is directly proportional to the charging time.