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Series/Parallel Switching for Increasing Power Extraction from Thermoelectric Power Generators.

Shingo Terashima1, Ryuji Sorimachi1, Eiji Iwase1,2

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This study introduces a method to boost power from thermoelectric generators (TEGs) by switching circuit configurations. This optimization enhances energy harvesting efficiency across various conditions.

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Area of Science:

  • Energy Harvesting
  • Materials Science
  • Electrical Engineering

Background:

  • Thermoelectric generators (TEGs) offer a promising avenue for waste heat recovery and energy harvesting.
  • Optimizing power output from TEGs is crucial for their practical application, as efficiency is often limited by impedance mismatch.
  • Existing TEG systems may not adapt optimally to varying ambient temperatures and load conditions.

Purpose of the Study:

  • To develop and validate a method for increasing power extraction from TEGs.
  • To investigate the impact of series/parallel circuit switching on TEG performance.
  • To establish a design methodology for adaptive TEGs that optimize power delivery.

Main Methods:

  • Theoretical analysis of thermoelectric device circuit configurations and switching strategies.
  • Experimental evaluation of TEG power output across different series/parallel configurations and ambient temperatures.
  • Implementation and testing of a TEG system powering a wireless transmitter circuit.

Main Results:

  • Switching between series/parallel configurations effectively adjusts the TEG's internal impedance.
  • Adaptive circuit configurations significantly increase extracted power compared to fixed configurations.
  • Optimal configuration varied with temperature difference; e.g., 2-series/1-parallel yielded 10% more power at 3.0 K, while 1-series/2-parallel yielded 23% more at 4.0 K.

Conclusions:

  • Dynamic circuit switching in TEGs is a viable strategy to enhance power extraction efficiency.
  • The proposed method allows TEGs to adapt to varying thermal conditions and load requirements.
  • This adaptive approach provides a pathway for designing more effective energy harvesting systems.