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Sanin-Villa, D., Henao-Bravo, E., Ramos-Paja, C., Chejne, F.. (1403). Evaluation of Power Harvesting on DC--DC Converters to Extract the Maximum Power Output from TEGs Arrays under Mismatching Conditions. سامانه مدیریت نشریات علمی, 12(3), 215-223. doi: 10.22098/joape.2023.11207.1836
D. Sanin-Villa; E. Henao-Bravo; C. Ramos-Paja; F. Chejne. "Evaluation of Power Harvesting on DC--DC Converters to Extract the Maximum Power Output from TEGs Arrays under Mismatching Conditions". سامانه مدیریت نشریات علمی, 12, 3, 1403, 215-223. doi: 10.22098/joape.2023.11207.1836
Sanin-Villa, D., Henao-Bravo, E., Ramos-Paja, C., Chejne, F.. (1403). 'Evaluation of Power Harvesting on DC--DC Converters to Extract the Maximum Power Output from TEGs Arrays under Mismatching Conditions', سامانه مدیریت نشریات علمی, 12(3), pp. 215-223. doi: 10.22098/joape.2023.11207.1836
Sanin-Villa, D., Henao-Bravo, E., Ramos-Paja, C., Chejne, F.. Evaluation of Power Harvesting on DC--DC Converters to Extract the Maximum Power Output from TEGs Arrays under Mismatching Conditions. سامانه مدیریت نشریات علمی, 1403; 12(3): 215-223. doi: 10.22098/joape.2023.11207.1836

Evaluation of Power Harvesting on DC--DC Converters to Extract the Maximum Power Output from TEGs Arrays under Mismatching Conditions

Journal of Operation and Automation in Power Engineering
مقاله 4، دوره 12، شماره 3، 2024، صفحه 215-223    اصل مقاله (1.42 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.11207.1836
نویسندگان
D. Sanin-Villa* 1؛ E. Henao-Bravo1؛ C. Ramos-Paja2؛ F. Chejne2
1Instituto Tecnológico Metropolitano, Cra. 74d \#732, Medellín, Colombia.
2Universidad Nacional de Colombia, Av. 80 \#65--223, Medellín, Colombia.
چکیده
Thermoelectric generators (TEGs) can transform wasted heat from industrial processes into electrical power. The power provided by TEGs systems depend on the temperature gradient, where an ideal situation for the TEGs operation is when all the modules of an array are exposed to the same temperature difference. Unfortunately, that condition is not always possible since the TEG arrays are exposed to non-uniform thermal conditions (known as mismatching). This paper proposes a novel equivalent model to represent the electrical behavior of a TEG, including a high-order approximation for the temperature dependence properties of the internal resistance and output voltage. Several configurations proposed to mitigate the mismatching phenomenon on TEGs arrays were tested, which are based on boost converters, PI controllers and the perturb and observe algorithm for maximum power point tracking: 1) TEGs serial connection with a single power converter, 2) a parallel connection where each TEG has its own converter, and 3) a serial connection where each TEG has its own converter. Those tests were performed in three temperature differences (50°C,  100°C and 180°C) to study the impact of the mismatching thermal condition over the total output power. The maximum power delivered by the traditional case 1 was 10.7 W; while the output power provided by case 2 was 12.07 W (12.8 % higher) and 11.1 W (3.7 %) for case 3.
کلیدواژه‌ها
Mismatching conditions؛ power converters؛ thermometric systems
مراجع
  1. UNFCC (United Nations Framework Convention on Climate Change), “Paris Agreement (Spanish),” p. 29, 2015, [Online]. Available: http://unfccc.int/files/essential_background/convention /application/pdf/spanish_paris_agreement.pdf
  2. Morini, M. Pinelli, P. R. Spina, and M. Venturini, “Optimal allocation of thermal, electric and cooling loads among generation technologies in household applications,” Appl. Energy, vol. 112, pp. 205–214, 2013.
  3. K. Bhukesh, A. Kumar, and S. K. Gaware, “Bismuth telluride (Bi2Te3) thermoelectric material as a transducer for solar energy application,” Mater Today Proc., vol. 26, pp. 3131–3137, 2019.
  4. Ge, Z. Wang, L. Liu, J. Zhao, and Y. Zhao, “Performance analysis of a solar thermoelectric generation (STEG) system with spray cooling,” Energy Convers. Manage., vol. 177, pp. 661–670, 2018.
  5. A. Qasim, V. I. Velkin, and A. K. Hassan, “Seebeck generators and their performance in generating electricity,” J. Oper. Autom. Power Eng., vol. 10, no. 3, pp. 200-–205, 2022.
  6. Nozariasbmarz et al., “Review of wearable thermoelectric energy harvesting: From body temperature to electronic systems,” Appl. Energy, vol. 258, 2020.
  7. Yin, Q. Li, and Y. Xuan, “Thermal resistance analysis and optimization of photovoltaic-thermoelectric hybrid system,” Energy Convers. Manag., vol. 143, pp. 188–202, 2017.
  8. Bjørk and K. K. Nielsen, “The performance of a combined solar photovoltaic (PV) and thermoelectric generator (TEG) system,” Solar Energy, vol. 120, pp. 187-–194, 2015.
  9. S. Mohamed, “Development and performance analysis of a TEG system using exhaust recovery for a light diesel vehicle with assessment of fuel economy and emissions,” Appl. Therm. Eng., vol. 147, pp. 661–674, 2019.
  10. ben Cheikh, B. el Badsi, and A. Masmoudi, “Geothermal sources-based thermoelectric power generation: An attempt to enhance the rural electrification in southern Tunisia,” in 2014 9th Int. Con. Ecol. Veh. Renewable Energies, EVER, 2014.
  11. Barco, R. M. Ambrosi, H. R. Williams, and K. Stephenson, “Radioisotope power systems in space missions: Overview of the safety aspects and recommendations for the European safety case,” J. Space Saf. Eng., vol. 7, no. 2, pp. 137-–149, 2020.
  12. Belboula, R. Taleb, G. Bachir, and F. Chabni, “Comparative study of maximum power point tracking algorithms for thermoelectric generator,” Lect. Notes Networks Syst., vol. 62, pp. 329–338, 2019.
  13. Montecucco and A. R. Knox, “Maximum power point tracking converter based on the open-circuit voltage method for thermoelectric generators,” IEEE Trans. Power Electron., vol. 30, no. 2, pp. 828-–839, 2015.
  14. Siouane, S. Jovanovic, and P. Poure, “Influence of contact thermal resistances on the open circuit voltage MPPT method for thermoelectric generators,” in IEEE Int. Energy Conf., ENERGYCON, 2016.
  15. Shiriaev, K. Shishov, and A. Osipkov, “Electrical network of the automotive multi-sectional thermoelectric generator with MPPT based device usage,” Mater Today Proc., vol. 8, pp. 642-–651, 2019.
  16. Bunthern, B. Long, G. Christophe, D. Bruno, and M. Pascal, “Modeling and tuning of MPPT controllers for a thermoelectric generator,” 2014 1st Int. Conf. Green Energy (ICGE), vol. 2, no. 3, pp. 220–226, 2014.
  17. Li, D. Lin, T. Yu, J. Li, K. Wang, X. Zhang, B. Yang, and Y. Wu, “Adaptive rapid neural optimization: A data-driven approach to MPPT for centralized TEG systems,” Electr. Power Syst. Res., vol. 199, p. 107426, 2021.
  18. Hamza Zafar, N. Mujeeb Khan, M. Mansoor, and A. Khan, “Towards green energy for sustainable development: Machine learning based MPPT approach for thermoelectric generator,” J. Clean Prod., vol. 351, p. 131591, 2022.
  19. Naderi, S. J. Seyedshenava, and H. Shayeghi. "High gain DC/DC converter implemented with MPPT algorithm for DC microgrid system," J. Oper. Autom. Power Eng., vol. 11, no. 3, pp. 213–222, 2023.
  20. Yang et al., “Fast atom search optimization based MPPT design of centralized thermoelectric generation system under heterogeneous temperature difference,” J. Clean Prod., vol. 248, p. 119301, 2020.
  21. Dadi, K. Meenakshy, and S. K. Damodaran, “A review on secondary control methods in DC microgrid,” J. Oper. Autom. Power Eng., vol. 11, no. 2, pp. 105–112, 2023.
  22. Sanin-Villa, O. D. Monsalve-Cifuentes, and E. E. Henao-Bravo, “Evaluation of thermoelectric generators under mismatching conditions,” Energies, vol. 14, Page 8016, vol. 14, no. 23, p. 8016, 2021.
  23. TECTEG, “Specifications TEG Module TEG1-12611-6.0.” https://thermoelectric-generator.com/
  24. Yang et al., “MPPT design of centralized thermoelectric generation system using adaptive compass search under nonuniform temperature distribution condition,” Energy Convers. Manag., vol. 199, p. 111991, 2019.
  25. H. Liu, Y. H. Chiu, J. W. Huang, and S. C. Wang, “A novel maximum power point tracker for thermoelectric generation system,” Renewable Energy, vol. 97, pp. 306–318, 2016.
  26. Zhu, X. Li, Y. Li, C. Xie, and Y. Shi, “Two-level energy harvesting strategy for multi-input thermoelectric energy system,” Energy Reports, vol. 8, pp. 4359–4372, 2022.
  27. Liu, S. Yuan, Y. Zhou, B. Xu, W. Rong, Q. Li, and P. Ma, “Theoretical and experimental research on control strategy of maximum power point tracking for monolayer thermoelectric generator considering the degree of disturbance,” Energy Reports, vol. 8, pp. 15124–15143, 2022.
  28. Vostrikov, A. Somov, and P. Gotovtsev, “Low temperature gradient thermoelectric generator: Modelling and experimental verification,” Appl. Energy, vol. 255, 2019.
  29. Sanin-Villa, O. D. Monsalve-Cifuentes, and E. E. HenaoBravo, “Evaluation of Thermoelectric Generators under Mismatching Conditions,” Energies, vol. 14, p. 8016, vol. 14, no. 23, p. 8016, 2021.
  30. W. Erikson and D. Maksimovic, Fundamentals of Power Electronics Second Edition, 1980.
  31. Panda, A. Sarkar, B. Panda, and P. K. Hota, “A comparative study of PI and fuzzy controllers for solar powered DC-DC boost converter,” in Proc. 1st Int. Conf. Computat. Intell. Networks (CINE), pp. 47–51, 2015.
  32. Motsoeneng, J. Bamukunde, and S. Chowdhury, “Comparison of perturb & observe and hill climbing MPPT schemes for PV plant under cloud cover and varying load,” in 10th Int. Renewable Energy Cong. IREC, pp. 1–6, 2019.
  33. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Optimization of perturb and observe maximum power point tracking method,” IEEE Trans. Power Electron., vol. 20, no. 4, pp. 963-–973, 2005.
  34. Thankakan and E. R. Samuel Nadar, “Investigation of thermoelectric generators connected in different configurations for micro-grid applications,” Int. J. Energy Res., vol. 42, no. 6, pp. 2290-–2301, 2018.
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