ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Lattice Boltzmann simulation on thermal performance of composite phase change material based on Voronoi models |
Meng-Yue Guo(郭孟月)1, Qun Han(韩群)1, Xiang-Dong Liu(刘向东)1,2,†, and Bo Zhou(周博)3 |
1 Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China; 2 College of Electrical, Energy, and Power Engineering, Yangzhou University, Yangzhou 225127, China; 3 Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application, School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China |
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Abstract Phase change materials (PCMs) are important for sustaining energy development. For the thermal performance enhancement, the composite PCM with metal foam reconstructed by the Voronoi method is investigated in this work. The lattice Boltzmann method (LBM) is used to analyze the melting process on a pore scale. The melting interface evolution and temperature contour of the composite PCM are explored and compared with those of pure PCM. Moreover, structure parameters including the pore density, porosity and irregularity are investigated comprehensively, indicating that the additive of metal foam strengthens the melting performance of PCM obviously. Compared with pure PCM, the composite PCM has quick rates of the melting front evolution and heat transfer. The heat conduction plays a great role in the whole melting process since the convection is weakened for the composite PCM. To improve the melting efficiency, a larger pore density and smaller irregularity are recommended in general. More significantly, a suitable porosity is determined based on the requirement for the balance between the melting rate and heat storage capacity in practical engineering.
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Received: 25 January 2021
Revised: 05 March 2021
Accepted manuscript online: 24 May 2021
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PACS:
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44.30.+v
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(Heat flow in porous media)
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44.25.+f
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(Natural convection)
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44.05.+e
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(Analytical and numerical techniques)
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44.10.+i
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(Heat conduction)
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 51876184, 51725602, and 51806147) and the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20180102). |
Corresponding Authors:
Xiang-Dong Liu
E-mail: liuxd@yzu.edu.cn
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Cite this article:
Meng-Yue Guo(郭孟月), Qun Han(韩群), Xiang-Dong Liu(刘向东), and Bo Zhou(周博) Lattice Boltzmann simulation on thermal performance of composite phase change material based on Voronoi models 2021 Chin. Phys. B 30 104401
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[1] Laraib S T, Ali H M and Akram M A 2020 Therm. Sci. 24 2151 [2] Elarga H, Fantucci S, Serra V, Zecchin R and Benini E 2017 Energ. Buildings 150 546 [3] Ali H M 2020 Sol. Energy 197 163 [4] Zhang Z D, Cao Y T and Sun D K, et al. 2020 Chin. Phys. B 29 028103 [5] Song B W, Ren F, Hu H B and Huang Q G 2015 Chin. Phys. B 24 014703 [6] Rathore P K S and Shukla S K 2019 Constr. Build Mater. 225 723 [7] Chen Y P, Gao W, Zhang C B and Zhao Y J 2016 Lab Chip 16 1332 [8] Wang J, Gao W, Zhang H, Zou M H, Chen Y P and Zhao Y J 2018 Sci. Adv. 4 7392 [9] Sajawal, Rehman T and Ali H M 2019 Case Stud. Therm. Eng. 15 100543 [10] Mahdi J M, Lohrasbiet S and Davood D 2018 Int. J. Heat Mass Transfer 124 663 [11] Han Q, Wang H, Yu C and Zhang C B 2020 Appl. Therm. Eng. 176 115423 [12] Huang Y P, Yao F, Zhou B and Zhang C B 2020 Chin. Phys. B 29 054701 [13] Ali H M 2019 J. Energy Storage. 26 100986 [14] Sardari P T, Giddings D and Gillott M 2019 Energy Conv. Manag. 201 112151 [15] Zhang C B, Li J and Chen Y P 2020 Appl. Energ. 259 114102 [16] Dinesh B V S and Bhattacharya A 2019 Int. J. Heat Mass Transfer 134 866 [17] Chen Y P, Zhang C B, Shi M H and Yang Y C 2010 Aiche J. 56 2018 [18] Wu L Y, Liu L B, Han X T, Li Q W and Yang W B 2019 Chin. Phys. B 28 104702 [19] Dong X J, Hu Y F, Wu Y Y, Zhao J and Wan Z Z 2010 Chin. Phys. Lett. 27 044401 [20] Li Z, Zhang J, Wang Z, Song Y and Zhao L 2013 Numerical Heat Transfer 64 1038 [21] He Y L, Liu Q and Li Q 2019 Int. J. Heat Mass Transfer 129 160 [22] Chen Y P and Deng Z L 2017 J. Fluid Mech. 819 401 [23] Huo Y T and Rao Z H 2017 Appl. Therm. Eng. 115 1237 [24] Gao W and Chen Y P 2019 Int. J. Heat Mass Transfer 135 158 [25] Wang L, Zhao Y, Yang X, Shi B and Chai Z H 2019 Appl. Math. Model. 71 31 [26] Zhao Y, Pereira G G, Kuang S B, Chai Z H and Shi B C 2020 Appl. Math. Lett. 104 106250 [27] Lu J H, Lei H Y and Dai C S 2019 Int. J. Therm. Sci. 135 17 [28] Chen Z Q, Gao D Y and Shi J 2014 Int. J. Heat Mass Transfer 72 646 [29] Shi X, Liu S, Nie H, Lu G and Li Y 2018 Int. J. Mech. Sci. 135 215 [30] Guo Z L, Zheng C G and Shi B C 2002 Phys. Rev. E 65 046308 [31] Shi B C and Guo Z L 2009 Phys. Rev. E 79 016701 [32] Chai Z H, Shi B C and Guo Z L 2016 J. Sci. Comput. 69 355 [33] Ginzburg I and d'Humiéres D 2003 Phys. Rev. E 68 066614 [34] Guo Z, Zheng C and Shi B 2002 Chin. Phys. C 11 366 [35] Yue L Q, Chai Z H, Wang L and Shi B C 2021 Int. J. Heat Mass Transfer 165 120682 [36] Li L, Chen C, Mei R and Klausner J F 2014 Phys. Rev. E 89 043308 [37] Rubinstein L 1982 IMA. J. Appl. Math. 28 287 [38] Huber C, Parmigiani A, Chopard B, Manga M and Bachmann O 2008 Int. J. Heat Fluid Flow 29 1469 [39] Merrikh A A and Lage J L 2005 Int. J. Heat Mass Transfer 48 1361 |
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