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Optimization and performance analysis of a solar concentrated photovoltaic-thermoelectric (CPV-TE) hybrid system

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  • Rejeb, Oussama
  • Shittu, Samson
  • Ghenai, Chaouki
  • Li, Guiqiang
  • Zhao, Xudong
  • Bettayeb, Maamar

Abstract

This work presents, for the first time, a statistical model to forecast the electrical efficiency of concentrated photovoltaic-thermoelectric system (CPV-TE). The main objective of this work is to analyze the impact of the input factors (product of solar radiation and optical concentration, external load resistance, leg height of TE and ambient temperature) most affecting the electrical efficiency of CPV-TE system. An innovative and integrated approach based on a multi-physics numerical model coupling radiative, conductive and convective heat transfers Seebeck and photoelectrical conversion physical phenomena inside the CPV-TE collector and a response surface methodology (RSM) model was developed. COMSOL 5.4 Multiphysics software is used to perform the three-dimensional numerical study based on finite element method. Furthermore, results from the numerical model is then analysed using the statistical tool, response surface methodology. The analysis of variance (ANOVA) is conducted to develop the quadratic regression model and examine the statistical significance of each input factor. The results reveal that the obtained determination coefficient (R2) for electrical efficiency is 0.9945. An excellent fitting is achieved between forecast values obtained from the statistical model and the numerical data provided by the three-dimensional numerical model. The influence of the parameters in order of importance on the electrical efficiency are respectively: product of solar radiation and optical concentration, the height legs of TE, external electrical resistance load, and ambient temperature. A simple polynomial statistical model is created in this work to predict and maximize the electrical efficiency from the solar CPV-TE system based on the four investigated input parameters. The maximum electrical efficiency of the proposed CPVTE (17.448%) is obtained for optimum operating parameters at 229.698 W/m2 value of product of solar radiation and optical concentration, 303.353 K value of ambient temperature, 2.681Ω value of resistance electrical load and at 3.083 mm value of height of TE module.

Suggested Citation

  • Rejeb, Oussama & Shittu, Samson & Ghenai, Chaouki & Li, Guiqiang & Zhao, Xudong & Bettayeb, Maamar, 2020. "Optimization and performance analysis of a solar concentrated photovoltaic-thermoelectric (CPV-TE) hybrid system," Renewable Energy, Elsevier, vol. 152(C), pages 1342-1353.
    • Handle: RePEc:eee:renene:v:152:y:2020:i:c:p:1342-1353
    DOI: 10.1016/j.renene.2020.02.007
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    References listed on IDEAS

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    5. Shittu, Samson & Li, Guiqiang & Xuan, Qindong & Zhao, Xudong & Ma, Xiaoli & Cui, Yu, 2020. "Electrical and mechanical analysis of a segmented solar thermoelectric generator under non-uniform heat flux," Energy, Elsevier, vol. 199(C).
    6. Gao, Yuanzhi & Wang, Changling & Wu, Dongxu & Dai, Zhaofeng & Chen, Bo & Zhang, Xiaosong, 2022. "A numerical evaluation of the bifacial concentrated PV-STEG system cooled by mini-channel heat sink," Renewable Energy, Elsevier, vol. 192(C), pages 716-730.
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    9. Chen, Wei-Hsin & Carrera Uribe, Manuel & Kwon, Eilhann E. & Lin, Kun-Yi Andrew & Park, Young-Kwon & Ding, Lu & Saw, Lip Huat, 2022. "A comprehensive review of thermoelectric generation optimization by statistical approach: Taguchi method, analysis of variance (ANOVA), and response surface methodology (RSM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    10. Liang, Tao & Fu, Tong & Hu, Cong & Chen, Xiaohang & Su, Shanhe & Chen, Jincan, 2021. "Optimum matching of photovoltaic–thermophotovoltaic cells efficiently utilizing full-spectrum solar energy," Renewable Energy, Elsevier, vol. 173(C), pages 942-952.
    11. Gao, Yuanzhi & Dai, Zhaofeng & Wu, Dongxu & Wang, Changling & Chen, Bo & Zhang, Xiaosong, 2022. "Transient performance assessment of a hybrid PV-TEG system integrated with PCM under non-uniform radiation conditions: A numerical investigation," Renewable Energy, Elsevier, vol. 198(C), pages 352-366.
    12. Gharzi, Mostafa & Kermani, Ali M. & Tash Shamsabadi, Hosseinali, 2023. "Experimental investigation of a parabolic trough collector-thermoelectric generator (PTC-TEG) hybrid solar system with a pressurized heat transfer fluid," Renewable Energy, Elsevier, vol. 202(C), pages 270-279.
    13. Carlo Renno & Alessandro Perone & Diana D’Agostino & Francesco Minichiello, 2021. "Experimental and Economic Analysis of a Concentrating Photovoltaic System Applied to Users of Increasing Size," Energies, MDPI, vol. 14(16), pages 1-18, August.
    14. Waseem Iqbal & Irfan Ullah & Seoyong Shin, 2023. "Nonimaging High Concentrating Photovoltaic System Using Trough," Energies, MDPI, vol. 16(3), pages 1-15, January.
    15. Sripadmanabhan Indira, Sridhar & Aravind Vaithilingam, Chockalingam & Sivasubramanian, Ramsundar & Chong, Kok-Keong & Narasingamurthi, Kulasekharan & Saidur, R., 2022. "Prototype of a novel hybrid concentrator photovoltaic/thermal and solar thermoelectric generator system for outdoor study," Renewable Energy, Elsevier, vol. 201(P1), pages 224-239.
    16. Ma, Liuyang & Zhao, Qin & Zhang, Houcheng & Hou, Shujin & Zhao, Jiapei & Wang, Fu & Zhang, Chunfei & Miao, He & Yuan, Jinliang, 2022. "Performance analysis of a concentrated photovoltaic cell-elastocaloric cooler hybrid system for power and cooling cogeneration," Energy, Elsevier, vol. 239(PD).
    17. Carlo Renno, 2021. "Experimental Comparison between Spherical and Refractive Optics in a Concentrating Photovoltaic System," Energies, MDPI, vol. 14(15), pages 1-15, July.

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