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Characterization of a Thermoelectric Generator (TEG) System for Waste Heat Recovery

Author

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  • Oswaldo Hideo Ando Junior

    (Department of Renewable Energies, UNILA, Federal University of Latin American Integration, Av. Sílvio Américo Sasdelli, 1842 Foz do Iguaçu-PR, Brazil)

  • Nelson H. Calderon

    (Department of Renewable Energies, UNILA, Federal University of Latin American Integration, Av. Sílvio Américo Sasdelli, 1842 Foz do Iguaçu-PR, Brazil)

  • Samara Silva De Souza

    (Department of Renewable Energies, UNILA, Federal University of Latin American Integration, Av. Sílvio Américo Sasdelli, 1842 Foz do Iguaçu-PR, Brazil)

Abstract

This paper presents the development and characterization of a thermoelectric generator (TEG) system for waste heat recovery to low temperature in industrial processes. The relevance of this mode of electric energy harvest is that it is clean energy and it depends only on the capture of losses. These residual energies from industrial processes are, in principle, released into the environment without being exploited. With the proposed device, the waste energy will not be released into the environment and will be used for electrical generation, which is useful for heat production. The characterization of TEGs that are used a data-acquisition system have measured data for the voltage, current, and temperature, in real-time, for temperatures down to 200 °C without signal degradation. As a result, the measured data has revealed an open circuit voltage of V OC = 0.4306 × ΔT, internal resistance of R 0 = 9.41 Ω, with tolerance ΔR int = ±0.77 Ω, where R int = 9.41 ± 0.77 Ω. The measurements were made on the condition that the maximum output was obtained at a temperature gradient of ΔT = 80 °C, resulting in a maximum power gain of P out ≈ 29 W.

Suggested Citation

  • Oswaldo Hideo Ando Junior & Nelson H. Calderon & Samara Silva De Souza, 2018. "Characterization of a Thermoelectric Generator (TEG) System for Waste Heat Recovery," Energies, MDPI, vol. 11(6), pages 1-13, June.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1555-:d:152420
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    References listed on IDEAS

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    2. Ravi Anant Kishore & Roop L. Mahajan & Shashank Priya, 2018. "Combinatory Finite Element and Artificial Neural Network Model for Predicting Performance of Thermoelectric Generator," Energies, MDPI, vol. 11(9), pages 1-17, August.
    3. Cheng-Xian Lin & Robel Kiflemariam, 2019. "Numerical Simulation and Validation of Thermoeletric Generator Based Self-Cooling System with Airflow," Energies, MDPI, vol. 12(21), pages 1-21, October.
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    6. Reyes García-Contreras & Andrés Agudelo & Arántzazu Gómez & Pablo Fernández-Yáñez & Octavio Armas & Ángel Ramos, 2019. "Thermoelectric Energy Recovery in a Light-Duty Diesel Vehicle under Real-World Driving Conditions at Different Altitudes with Diesel, Biodiesel and GTL Fuels," Energies, MDPI, vol. 12(6), pages 1-18, March.
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    8. Zhang, Ruonan & Cai, Jingyong & Zhang, Tao & Shi, Zhengrong, 2023. "Performance analysis and optimization of a TEG-based compression hydrogen storage waste heat recovery system," Renewable Energy, Elsevier, vol. 219(P2).
    9. Mohamed Amine Zoui & Saïd Bentouba & John G. Stocholm & Mahmoud Bourouis, 2020. "A Review on Thermoelectric Generators: Progress and Applications," Energies, MDPI, vol. 13(14), pages 1-32, July.
    10. Jianfeng Hong & Fu Chen & Ming He & Sheng Wang & Wenxiang Chen & Mingjie Guan, 2019. "Study of a Low-Power-Consumption Piezoelectric Energy Harvesting Circuit Based on Synchronized Switching Technology," Energies, MDPI, vol. 12(16), pages 1-13, August.
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