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Dynamic thermal models and CFD analysis for flat-plate thermal solar collectors – A review

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  • Tagliafico, Luca A.
  • Scarpa, Federico
  • De Rosa, Mattia

Abstract

The detailed analysis of a solar collector is a complex task, due to the high number of parameters affecting its performance. In the last 40 years, several dynamic procedures have been developed and tested using numerical approaches, to obtain the behavior of the thermal solar collector without performing the set of complicated and expensive experimental tests usually adopted in steady-state approaches. Moreover, thanks to the improvement of the computing performance, these numerical models provide useful tools in reproducing for complex system behavior. In fact, when multiple energy sources are coupled together to build integrated systems (i.e., Solar-Assisted Heat Pumps, Ground-Source Solar-Assisted Heat Pump, etc.) the dynamics of each equipment has an noticeable influence on the behavior of the whole system. Therefore, these tools can be also profitably used to develop and optimize dynamic control criteria for these systems. In this context, a great effort has been made in the last years to improve the predictive potential of the dynamic models for solar collectors. Finally, thanks to the increase of the computational performance in the last years, Computational Fluid-Dynamics (CFD) approach has become a powerful tool to investigate the heat transfer phenomena. A lot of works have been made using both commercial and in-house developed codes, investigating several aspects concerning the heat transfer mechanism in a solar collector.

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  • Tagliafico, Luca A. & Scarpa, Federico & De Rosa, Mattia, 2014. "Dynamic thermal models and CFD analysis for flat-plate thermal solar collectors – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 526-537.
  • Handle: RePEc:eee:rensus:v:30:y:2014:i:c:p:526-537
    DOI: 10.1016/j.rser.2013.10.023
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    4. Hussein, Ahmed Kadhim, 2016. "Applications of nanotechnology to improve the performance of solar collectors – Recent advances and overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 767-792.
    5. De Rosa, Mattia & Bianco, Vincenzo & Scarpa, Federico & Tagliafico, Luca A., 2014. "Heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach," Applied Energy, Elsevier, vol. 128(C), pages 217-229.
    6. Omu, Akomeno & Hsieh, Shanshan & Orehounig, Kristina, 2016. "Mixed integer linear programming for the design of solar thermal energy systems with short-term storage," Applied Energy, Elsevier, vol. 180(C), pages 313-326.
    7. Cerón, J.F. & Pérez-García, J. & Solano, J.P. & García, A. & Herrero-Martín, R., 2015. "A coupled numerical model for tube-on-sheet flat-plate solar liquid collectors. Analysis and validation of the heat transfer mechanisms," Applied Energy, Elsevier, vol. 140(C), pages 275-287.
    8. Saffarian, Mohammad Reza & Moravej, Mojtaba & Doranehgard, Mohammad Hossein, 2020. "Heat transfer enhancement in a flat plate solar collector with different flow path shapes using nanofluid," Renewable Energy, Elsevier, vol. 146(C), pages 2316-2329.
    9. Mojumder, Juwel Chandra & Ong, Hwai Chyuan & Chong, Wen Tong & Izadyar, Nima & Shamshirband, Shahaboddin, 2017. "The intelligent forecasting of the performances in PV/T collectors based on soft computing method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1366-1378.
    10. Sakhaei, Seyed Ali & Valipour, Mohammad Sadegh, 2019. "Performance enhancement analysis of The flat plate collectors: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 186-204.
    11. Filipović, Petar & Dović, Damir & Ranilović, Borjan & Horvat, Ivan, 2019. "Numerical and experimental approach for evaluation of thermal performances of a polymer solar collector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 127-139.
    12. Du, Bin & Lund, Peter D. & Wang, Jun, 2021. "Combining CFD and artificial neural network techniques to predict the thermal performance of all-glass straight evacuated tube solar collector," Energy, Elsevier, vol. 220(C).
    13. Nokhosteen, Arman & Sobhansarbandi, Sarvenaz, 2021. "Numerical modeling and experimental cross-validation of a solar thermal collector through an innovative hybrid CFD model," Renewable Energy, Elsevier, vol. 172(C), pages 918-928.
    14. Chochowski, Andrzej & Obstawski, Paweł, 2017. "The use of thermal-electric analogy in solar collector thermal state analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 397-409.
    15. Bazri, Shahab & Badruddin, Irfan Anjum & Naghavi, Mohammad Sajad & Bahiraei, Mehdi, 2018. "A review of numerical studies on solar collectors integrated with latent heat storage systems employing fins or nanoparticles," Renewable Energy, Elsevier, vol. 118(C), pages 761-778.
    16. Jianhao Sheng & Dianwei Qi & Hongchao Yan & Wanjiang Wang & Tao Wang, 2022. "Experimental Study on Low Carbonization of Green Building Based on New Membrane Structure Solar Sustainable Heat Collection," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    17. Herrando, María & Ramos, Alba & Zabalza, Ignacio & Markides, Christos N., 2019. "A comprehensive assessment of alternative absorber-exchanger designs for hybrid PVT-water collectors," Applied Energy, Elsevier, vol. 235(C), pages 1583-1602.
    18. Herrando, María & Fantoni, Guillermo & Cubero, Ana & Simón-Allué, Raquel & Guedea, Isabel & Fueyo, Norberto, 2023. "Numerical analysis of the fluid flow and heat transfer of a hybrid PV-thermal collector and performance assessment," Renewable Energy, Elsevier, vol. 209(C), pages 122-132.

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