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Optimisation of the thermodynamic and environmental performances of a flat plate solar collector with multiple turbulators: An integrated experimental, numerical, and machine learning investigation

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  • Zaboli, Mohammad
  • Karimi, Nader
  • Mousavi Ajarostaghi, Seyed Soheil
  • Saedodin, Seyfolah

Abstract

Flat plate solar collectors (FPSCs) offer an economically attractive renewable energy solution, but their widespread adoption has been limited by suboptimal thermal performance. This study introduces an innovative strategy to boost FPSC efficiency through the optimisation of a multiple turbulator design. A thorough analysis of thermodynamic and heat transfer characteristics demonstrates the significant potential for reducing greenhouse gas emissions by replacing conventional gas-fired domestic heaters with thermally enhanced FPSCs. The study involves a series of numerical simulations and experimental measurements used for validation purposes. Machine learning techniques are employed to build a surrogate optimisation model, determining optimal values for key parameters such as blade count, blade rotation angle, turbulator length, blade diameter, and the working fluid's mass flow rate. The results show that the optimised FPSC configuration achieves substantial CO2 reductions, with annual savings of 2,387 kg to 3,520 kg compared to conventional gas-fired water heaters. This significantly outperforms conventional FPSCs, which only achieve a 1,715 kg reduction. Overall, the optimised FPSC delivers a 65.6 % decrease in CO2 emissions and enhances thermodynamic performance by reducing exergy destruction by 39.1 %. These findings show the substantial potential of optimised flow turbulators in improving both the thermal and environmental performance of FPSCs.

Suggested Citation

  • Zaboli, Mohammad & Karimi, Nader & Mousavi Ajarostaghi, Seyed Soheil & Saedodin, Seyfolah, 2025. "Optimisation of the thermodynamic and environmental performances of a flat plate solar collector with multiple turbulators: An integrated experimental, numerical, and machine learning investigation," Renewable Energy, Elsevier, vol. 242(C).
    • Handle: RePEc:eee:renene:v:242:y:2025:i:c:s0960148125000692
    DOI: 10.1016/j.renene.2025.122407
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    1. Jamshidian, Mortaza & Jalal, Siavash & Jansen, Camden, 2014. "MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i06).
    2. Kannan, Nadarajah & Vakeesan, Divagar, 2016. "Solar energy for future world: - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1092-1105.
    3. Hamidi, E. & Ganesan, P.B. & Sharma, R.K. & Yong, K.W., 2023. "Computational study of heat transfer enhancement using porous foams with phase change materials: A comparative review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    4. Pandey, Krishna Murari & Chaurasiya, Rajesh, 2017. "A review on analysis and development of solar flat plate collector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 641-650.
    5. Gholipour, Shayan & Afrand, Masoud & Kalbasi, Rasool, 2020. "Improving the efficiency of vacuum tube collectors using new absorbent tubes arrangement: Introducing helical coil and spiral tube adsorbent tubes," Renewable Energy, Elsevier, vol. 151(C), pages 772-781.
    6. Syam Sundar, L. & Singh, Manoj K., 2013. "Convective heat transfer and friction factor correlations of nanofluid in a tube and with inserts: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 23-35.
    7. Gao, Datong & Gao, Guangtao & Cao, Jingyu & Zhong, Shuai & Ren, Xiao & Dabwan, Yousef N. & Hu, Maobin & Jiao, Dongsheng & Kwan, Trevor Hocksun & Pei, Gang, 2020. "Experimental and numerical analysis of an efficiently optimized evacuated flat plate solar collector under medium temperature," Applied Energy, Elsevier, vol. 269(C).
    8. Lee, In & Shin, Yong Jae, 2020. "Machine learning for enterprises: Applications, algorithm selection, and challenges," Business Horizons, Elsevier, vol. 63(2), pages 157-170.
    9. Sundar, L. Syam & Singh, Manoj K. & Punnaiah, V. & Sousa, Antonio C.M., 2018. "Experimental investigation of Al2O3/water nanofluids on the effectiveness of solar flat-plate collectors with and without twisted tape inserts," Renewable Energy, Elsevier, vol. 119(C), pages 820-833.
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