Abstract

The scope of thermoelectric generators (TEGs), in improving the electric vehicle battery performance and glass/steel manufacturing industries, could achieve wider significance by harnessing the unused radiative heat and light conversion to electrical power. This paper experimentally investigates the electrical performance correlated to concentrated quartz-halogen, with acrylic Fresnel lens and heat-light harvesting, coupled with heat sink. This study also experimentally examined the influence of extreme temperature variance on the open circuit generated voltage of the Peltier electrical failure mode, compared to the standard performance parameters of the commercial TEG module. The research results presented provide expedient perception into the testing (open circuit voltage, short circuit current, and full load power) of a commercial heat-stove TEG to understand its performance limitations. The analytical simulation and mathematical model developed in MATLAB compared the electrical performance parameters and its dependencies. The analytical simulation shows that increasing the heat-sink temperature increases the efficiency of not more than 2% at the Δ T of 360 K, due to the limitation of the Z T ¯ of 0.43 at Δ T of 390 K. The maximum Z T ¯ of 0.7 for Bi2Te3, with an achievable efficiency of 4.5% at the Seebeck coefficient of 250 µV/K, was predicted. The design of three experimental setups and results presented demonstrate the functioning of TEG in stable and unstable temperature conditions, confirming the theoretical study and stipulating a quantity of the electrical output power in relation to extreme temperature conditions.

Highlights

  • Over the past two decades, there has been a rising significance, mainly due to non-moving parts, of thermoelectric generator (TEG) developments in improving the electric vehicle (EV) battery performance and utilising the unused or surplus heat energy, from either domestic boilers, radiators, cooking appliances, or automotive exhausts, conversion into electrical power [1,2,3]

  • A mathematical model of the TEG is developed in MATLAB, that works on the principle of the Seebeck effect, and produces an electric potential under the influence of the temperature difference between its sides [16]

  • An increase in the overall efficiency is primarily dependent on thermoelectric materials which play a significant part in determining its operating temperature range, and their range is usually divided into three categories: less than 450 K

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Summary

Introduction

Over the past two decades, there has been a rising significance, mainly due to non-moving parts, of thermoelectric generator (TEG) developments in improving the electric vehicle (EV) battery performance and utilising the unused or surplus heat energy, from either domestic boilers, radiators, cooking appliances, or automotive exhausts, conversion into electrical power [1,2,3]. Suchsolar heat-to-power performance using high optical concentration placing theAlthough concentrated thermoelectric generatorefficiency inside a was mainly realised with use of vacuum insulation, the vacuum degradation on the theuse vacuum [12]. This study experimentally reconnoitres the influence of higher temperatures, or Peltier failure mode, on the open circuit-generated voltage, compared to the standard performance parameters of the commercial TEG module using a hot plate. All three experimental setups, designed and developed for understanding the functioning of TEG in stable and unstable temperature conditions, confirm the theoretical study and stipulate a quantity of the electrical output power in relation to extreme temperature conditions

Analytical Model Method for TEG Characterisation
Heat-Stove TEG System Components for Direct Heat Harvesting
TEG for Peltier
Schematic diagram of direct the direct heat harvesting method using TEG
Schematic diagramofofthe theconcentrated concentrated quartz-halogen
Simulation
Direct Heat Harvesting with Heat-Stove TEG
Peltier Electrical Failure Mode Analysis under Extreme Temperature Variance
Concentrated
16. Figure
Conclusions
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