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A Variable Fractional Order Fuzzy Logic Control Based MPPT Technique for Improving Energy Conversion Efficiency of Thermoelectric Power Generator

Author

Listed:
  • N. Kanagaraj

    (Electrical Engineering Department, College of Engineering at Wadi Aldawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj 11991, Saudi Arabia)

  • Hegazy Rezk

    (Electrical Engineering Department, College of Engineering at Wadi Aldawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj 11991, Saudi Arabia
    Electrical Engineering Department, Faculty of Engineering, Minia University, Al Minya 61519, Egypt)

  • Mohamed R. Gomaa

    (Mechanical Engineering Department, Benha Faculty of Engineering, Benha University, Benha 13512, Egypt
    Mechanical Engineering Department, Faculty of Engineering, Al-Hussein Bin Talal University, Ma’an 71111, Jordan)

Abstract

Thermoelectric generation technology is considered to be one of the viable methods to convert waste heat energy directly into electricity. The utilization of this technology has been impeded due to low energy conversion efficiency. This paper aims to improve the energy conversion efficiency of the thermoelectric generator (TEG) model with a novel maximum power point tracking (MPPT) technique. A variable fractional order fuzzy logic controller (VFOFLC)-based MPPT technique is proposed in the present work in which the operating point of the TEG is moved quickly towards an optimal position to increase the energy harvesting. The fraction order term α, introduced in the MPPT algorithm, will expand or contract the input domain of the fuzzy logic controller (FLC to shorten the tracking time and maintain a steady-state output around the maximum power point (MPP). The performance of the proposed MPPT technique was verified with the TEG model by simulation using MATLAB /SIMULINK software. Then, the overall performance of the VFOFLC-based MPPT technique was analyzed and compared with Perturb and observe (P&O) and incremental resistance (INR)-based MPPT techniques. The obtained results confirm that the proposed MPPT technique can improve the energy conversion efficiency of the TEG by harvesting the maximum power within a shorter time and maintaining a steady-state output when compared to other techniques.

Suggested Citation

  • N. Kanagaraj & Hegazy Rezk & Mohamed R. Gomaa, 2020. "A Variable Fractional Order Fuzzy Logic Control Based MPPT Technique for Improving Energy Conversion Efficiency of Thermoelectric Power Generator," Energies, MDPI, vol. 13(17), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4531-:d:407455
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    References listed on IDEAS

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    1. Hegazy Rezk & Ahmed Fathy, 2020. "Performance Improvement of PEM Fuel Cell Using Variable Step-Size Incremental Resistance MPPT Technique," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    2. Chen, Wei-Hsin & Huang, Shih-Rong & Wang, Xiao-Dong & Wu, Po-Hua & Lin, Yu-Li, 2017. "Performance of a thermoelectric generator intensified by temperature oscillation," Energy, Elsevier, vol. 133(C), pages 257-269.
    3. Bicheng Tan & Xin Ke & Dachuan Tang & Sheng Yin, 2019. "Improved Perturb and Observation Method Based on Support Vector Regression," Energies, MDPI, vol. 12(6), pages 1-11, March.
    4. Daniela Charris & Diego Gomez & Angie Rincon Ortega & Mauricio Carmona & Mauricio Pardo, 2020. "A Thermoelectric Energy Harvesting Scheme with Passive Cooling for Outdoor IoT Sensors," Energies, MDPI, vol. 13(11), pages 1-25, June.
    5. Ibrahim, Amin & Rahnamayan, Shahryar & Vargas Martin, Miguel & Yilbas, Bekir, 2014. "Multi-objective thermal analysis of a thermoelectric device: Influence of geometric features on device characteristics," Energy, Elsevier, vol. 77(C), pages 305-317.
    6. Twaha, Ssennoga & Zhu, Jie & Yan, Yuying & Li, Bo, 2016. "A comprehensive review of thermoelectric technology: Materials, applications, modelling and performance improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 698-726.
    7. Montecucco, Andrea & Knox, Andrew R., 2014. "Accurate simulation of thermoelectric power generating systems," Applied Energy, Elsevier, vol. 118(C), pages 166-172.
    8. Yilbas, B.S. & Sahin, A.Z., 2010. "Thermoelectric device and optimum external load parameter and slenderness ratio," Energy, Elsevier, vol. 35(12), pages 5380-5384.
    9. Mohamed, Mohamed A. & Zaki Diab, Ahmed A. & Rezk, Hegazy, 2019. "Partial shading mitigation of PV systems via different meta-heuristic techniques," Renewable Energy, Elsevier, vol. 130(C), pages 1159-1175.
    10. Loise Rissini Kramer & Anderson Luis Oliveira Maran & Samara Silva de Souza & Oswaldo Hideo Ando Junior, 2019. "Analytical and Numerical Study for the Determination of a Thermoelectric Generator’s Internal Resistance," Energies, MDPI, vol. 12(16), pages 1-12, August.
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    Citations

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    Cited by:

    1. Mohamed R. Gomaa & Talib K. Murtadha & Ahmad Abu-jrai & Hegazy Rezk & Moath A. Altarawneh & Abdullah Marashli, 2022. "Experimental Investigation on Waste Heat Recovery from a Cement Factory to Enhance Thermoelectric Generation," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    2. Hegazy Rezk & Mohammed Mazen Alhato & Mujahed Al-Dhaifallah & Soufiene Bouallègue, 2021. "A Sine Cosine Algorithm-Based Fractional MPPT for Thermoelectric Generation System," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    3. N. Kanagaraj & Hegazy Rezk, 2021. "Dynamic Voltage Restorer Integrated with Photovoltaic-Thermoelectric Generator for Voltage Disturbances Compensation and Energy Saving in Three-Phase System," Sustainability, MDPI, vol. 13(6), pages 1-31, March.
    4. Kanagaraj N, 2021. "Photovoltaic and Thermoelectric Generator Combined Hybrid Energy System with an Enhanced Maximum Power Point Tracking Technique for Higher Energy Conversion Efficiency," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    5. Ahmed Fathy & Hegazy Rezk & Dalia Yousri & Essam H. Houssein & Rania M. Ghoniem, 2021. "Parameter Identification of Optimized Fractional Maximum Power Point Tracking for Thermoelectric Generation Systems Using Manta Ray Foraging Optimization," Mathematics, MDPI, vol. 9(22), pages 1-18, November.
    6. Enas Taha Sayed & Abdul Ghani Olabi & Abdul Hai Alami & Ali Radwan & Ayman Mdallal & Ahmed Rezk & Mohammad Ali Abdelkareem, 2023. "Renewable Energy and Energy Storage Systems," Energies, MDPI, vol. 16(3), pages 1-26, February.
    7. Gürbüz, Habib & Akçay, Hüsameddin, 2023. "Development of an integrated waste heat recovery system consisting of a thermoelectric generator and thermal energy storage for a propane fueled SI engine," Energy, Elsevier, vol. 282(C).

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