Maximum Power Point Tracking of Thermoelectric Generation Systems Under Nonuniform Temperature Distribution: A State-of-the-Art Evaluation

Ruining Shao,Yiming Han,Bo Yang,Nuo Chen

doi:10.3389/fenrg.2022.857261

Abstract

Maximum Power Point Tracking of Thermoelectric Generation Systems Under Nonuniform Temperature Distribution: A State-of-the-Art Evaluation

Highlights

Over the past few years, due to the increasing demand for energy and the decreasing reserves of fossil energy, renewable energy has attracted more attention and gradually replaced most of the fossil fuels, among which solar energy is one of the most promising one (Zhang et al, 2015; Zhang et al, 2016; Yao et al, 2019)
It can be concluded that a thermoelectric material with higher electricity conductivity and higher Seebeck coefficient are key factors in choosing high-performance thermoelectric generation (TEG) materials, and materials with high thermal conductivity can be used as a cooling device in the TEG system
maximum power point tracking (MPPT) algorithms are the most frequently used techniques to obtain the maximum power of the TEG systems, but there is still room for improvement

Summary

INTRODUCTION

Over the past few years, due to the increasing demand for energy and the decreasing reserves of fossil energy, renewable energy has attracted more attention and gradually replaced most of the fossil fuels, among which solar energy is one of the most promising one (Zhang et al, 2015; Zhang et al, 2016; Yao et al, 2019). Thermoelectric generation (TEG) is an important application technology of solar power generation fields (Iqbal et al, 2021; Zhao et al, 2021), which usually serves as a thermoelectric waste heat energy recovery system in hybrid power generation system (Chen et al, 2021). For the TEG system, nonuniform temperature distribution (NUTD) condition limits the available power. Under this nonuniform circumstance, the output power–voltage (P-V) characteristics will exhibit several peaks, which makes MPPT more difficult (Yang et al, 2020a). The output power–voltage (P-V) characteristics will exhibit several peaks, which makes MPPT more difficult (Yang et al, 2020a) In this context, many kinds of MPPT algorithms emerged in recent years. This paper gives some viewpoints of the TEG systems and existing MPPT algorithms for the TEG systems, as well as some suggestions for future research

MODEL OF THE THERMOELECTRIC GENERATION SYSTEM

MAXIMUM POWER POINT TRACKING FOR THERMOELECTRIC GENERATION SYSTEM

Maximum Power Point Tracking of Thermoelectric Generation System

DISCUSSION AND CONCLUSION